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Review

MiRNAs in Lung Adenocarcinoma: Role, Diagnosis, Prognosis, and Therapy

1
Department of Public Health Medicine, University of Pécs Medical School, Szigeti Str. 12, 7624 Pécs, Hungary
2
Department of Thermophysiology, Institute for Translational Medicine, Medical School, University of Pécs, Szigeti Str. 12, 7624 Pécs, Hungary
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(17), 13302; https://doi.org/10.3390/ijms241713302
Submission received: 31 July 2023 / Revised: 22 August 2023 / Accepted: 23 August 2023 / Published: 27 August 2023
(This article belongs to the Section Molecular Oncology)

Abstract

:
Lung cancer has emerged as a significant public health challenge and remains the leading cause of cancer-related mortality worldwide. Among various types of lung malignancies, lung adenocarcinoma (LUAD) stands as the most prevalent form. MicroRNAs (miRNAs) play a crucial role in gene regulation, and their involvement in cancer has been extensively explored. While several reviews have been published on miRNAs and lung cancer, there remains a gap in the review regarding miRNAs specifically in LUAD. In this review, we not only highlight the potential diagnostic, prognostic, and therapeutic implications of miRNAs in LUAD, but also present an inclusive overview of the extensive research conducted on miRNAs in this particular context.

1. Introduction

For several decades, lung cancer has sustained its position as the primary cause of cancer-related mortality, presenting a significant global public health challenge. It is histopathologically categorized into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), with NSCLC accounting for over 80% of cases. NSCLC includes adenocarcinoma (LUAD), squamous cell carcinoma (LUSC), and large cell carcinoma (LCC), with LUAD being the most prevalent subtype, comprising around 40–45% of cases [1]. Despite recent advancements in detection methods and targeted therapies, the majority of LUAD cases are diagnosed at advanced stages and have a poor prognosis, with a 5-year survival rate of only around 15% [2]. This grim prognosis is due to the late-stage disease presentation, heterogeneous tumor characteristics with a variety of histological subtypes, and our insufficient understanding of tumor biology. The development of targeted therapies that address specific molecular alterations necessitates precise subclassification of lung cancer, a task that surpasses the capabilities of standard histopathological diagnostic techniques. Moreover, due to our incomplete comprehension of the pathogenesis and dynamic fluctuations in tumor gene expression profiles, the progress of LUAD therapy has reached a plateau, demanding urgent breakthroughs [3]. Therefore, genomic medicine emerges as a promising field in complementing and expanding LUAD research.
MicroRNAs (miRNAs) are small non-coding RNAs that were first identified in 1993 during studies of Caenorhabditis elegans. It was quickly recognized that these seemingly conserved miRNA sequences play a crucial role in regulatory pathways in eukaryotes [4]. MiRNAs can interfere with mRNA translation through complementary base pairing with the 3′ untranslated region (UTR) of target mRNAs, leading to either mRNA degradation or translational repression [5]. Around 70% of miRNAs are transcribed from specialized miRNA loci, while the remaining fraction of miRNAs is processed from introns of protein-coding genes. In most cases, miRNA genes are transcribed in the nucleus by RNA polymerase II (Pol II). This leads to the formation of primary miRNA (pri-miRNA) that undergoes capping, splicing, and polyadenylation [6]. One pri-miRNA can generate either a single miRNA or a cluster containing two or more miRNAs. These long pri-miRNAs require cleavage by a microprocessor complex, primarily composed of the double-stranded RNase III enzyme DROSHA and the double-stranded RNA (dsRNA) binding protein DiGeorge syndrome critical region 8 (DGCR8) [7]. The microprocessor cleaves one strand of the dsRNA at the base of the stem-loop secondary structure within the pri-miRNA, releasing a hairpin-shaped precursor miRNA (pre-miRNA) of approximately 60–70 nucleotides [8,9].
While the core components of the microprocessor, DROSHA and DGCR8, are essential for the biogenesis of almost all miRNAs in cells, there are several cofactors that also play a role in this process. The pre-miRNA is exported from the nucleus to the cytoplasm by the exporter protein 5 (XPO5) and subsequently processed by DICER1, an RNase III enzyme that cleaves the pre-miRNA at both its 5′ and 3′ ends [10,11]. The pre-miRNA is cleaved into miRNA duplexes, and one of the strands is selected as the mature miRNA, which is loaded into the RNA-induced silencing complex (RISC) to act as a negative regulator of gene expression. The other strand is eventually degraded (Figure 1). The degradation or translational inhibition of target mRNAs by miRNAs largely depends on the complementarity between the miRNA’s 5′-seed sequence and the mRNA’s 3′-UTR element. Moreover, defects in the miRNA biogenesis machinery may contribute to tumorigenesis [12]. Multiple lines of evidence have demonstrated that miRNAs have diverse cellular regulatory roles, with some miRNAs being recognized as oncogenes or tumor suppressor genes [13]. Numerous studies have shown that human cancers, including LUAD, exhibit a large number of dysregulated miRNAs. Therefore, these miRNAs may serve as potential diagnostic or prognostic markers and could even guide therapeutic interventions [14]. MiRNAs can be utilized to subclassify tumors, as miRNA expression profiles serve as powerful indicators of pathological parameters and reliable biomarkers in LUAD [15].
Numerous public databases of miRNAs have been established, which accumulate data on various aspects of thousands of annotated human miRNAs, including an increasing number of miRNAs associated with LUAD [16]. There is a growing interest in identifying and characterizing miRNAs from different types of body fluids due to the ease of access to these samples. MiRNAs can also be obtained from tissue samples. Particularly, miRNAs derived from formalin-fixed and paraffin-embedded (FFPE) samples exhibit greater resistance to degradation compared to mRNAs [17]. Consequently, these samples stored in hospitals have a significant advantage for miRNA research.
On the other side, while miRNAs are an exciting new target for treatment of cancer, adaptation of miRNAs for therapy presents a challenge because of the lack of specificity. One miRNA typically targets a cluster of genes, so manipulating its expression can bring about undesired consequences.
In this review, we not only highlight the potential diagnostic, prognostic, and therapeutic implications of miRNAs in LUAD, but also present an inclusive overview of the extensive research conducted on miRNAs in this particular context. We believe that our review will facilitate researchers in comprehending the advancements made in the study of miRNAs in LUAD. Additionally, we have compiled an appendix encapsulating nearly all miRNAs pertinent to the development and treatment of LUAD, facilitating an easy reference and further investigation into the correlation between specific miRNAs and LUAD.

2. Tumor Suppressor and Oncogenic miRNAs in LUAD

2.1. Tumor Suppressor miRNAs in LUAD

In LUAD research, let-7, miR-34, and miR-200 are generally acknowledged as classical and substantial miRNAs. The let-7 family can regulate the timing of stem cell division, differentiation, and apoptosis. Dysregulation of let-7 can result in a less differentiated cellular state, which is closely associated with the development of cell-based diseases, including cancer. Notably, the let-7 family was the first miRNA identified with reduced expression in lung cancer [18]. When compared to normal lung tissue, let-7 expression decreased in 79% of adenocarcinomas (adenocarcinomas in situ and well-differentiated invasive adenocarcinomas), suggesting its role in early-stage carcinogenesis [19]. Further investigations have revealed the therapeutic potential of let-7a overexpression. In A549 cells, let-7a overexpression effectively suppresses cancer cell proliferation, migration, and invasion. Additionally, let-7a induces apoptosis and cell cycle arrest by modulating the cyclin D1 signals [20]. Both in vitro and in vivo studies have shown that let-7b-3p inhibits LUAD cell proliferation and metastasis by targeting the TFIIB-related factor 2 (BRF2)-mediated MAPK/ERK pathway [21]. Likewise, let-7c has shown anti-proliferative effects in LUAD. By inhibiting TRIB2, let-7c increases the activity of downstream signals, namely, C/EBP and p38MAPK, effectively suppressing the proliferation of A549 cells in both in vitro and in vivo models [22]. Moreover, the let-7 family targets the RAS gene family, notably KRAS, a critical oncogene in LUAD. However, it is noteworthy that polymorphism in the KRAS 3‘UTR, affecting its binding to let-7, does not appear to impact patient 5-year survival [23].
The miR-34 family is also a canonical miRNA family in LUAD, comprising three members (miR-34a, miR-34b, and miR-34c) clustered at two distinct chromosomal loci, Mir34a and Mir34b/c. In a syngeneic mutant mouse model, both miR-34a and miR-34b/c can block lung metastasis, with miR-34b/c exhibiting a stronger tumor growth suppression effect than miR-34a. MiR-34b/c also reduces the expression of mesenchymal markers (cadherin-2 and fibronectin) and increases the expression of epithelial markers (claudin-3 and desmoplakin) compared to miR-34a. Deletion of all three miR-34 family members promotes mutated KRAS-driven lung tumor progression in mice, and in LUAD patients, higher expression of miR-34a/b/c is associated with better survival [24]. There is no difference in the expression of miR-34a between metastatic and non-metastatic LUAD. However, for miR-34b and miR-34c, the expression levels are significantly lower in metastatic LUAD than in non-metastatic LUAD, suggesting a correlation of low expression with distant metastasis in LUAD. Additionally, promoter hypermethylation of miR-34a and miR-34b/c is a common event in LUAD [25]. Sato et al. transfected miR-34b into A549 and PC9 cell lines, resulting in suppressed lung cancer cell proliferation and IGBP1 expression. Furthermore, miR-34b transfection induced apoptosis in LUAD cell lines, similar to the effect of siIGBP1 RNA [26]. A positive feedback loop exists between p53 and miR-34 to mediate tumor suppression. Okada et al. demonstrated that miR-34a inhibits HDM4, a potent negative regulator of p53, creating a positive feedback loop on p53. In a KRAS-induced mouse lung cancer model, the absence of miR-34a alone does not exhibit strong oncogenic effects. However, miR-34a deficiency strongly promotes tumorigenesis when combined with p53 haploinsufficiency, suggesting that a defective p53-miR-34 feedback loop can enhance tumorigenesis under specific circumstances [27].
MiR-200 is a highly influential miRNA in LUAD, playing a major role in the epithelial-mesenchymal transition (EMT). In a genetic mouse model of metastatic LUAD, forced expression of miR-200 in metastasis competent-cells injected in syngeneic mice abolished their ability to undergo EMT, invasion, and metastasis, and conferred transcriptional features of metastasis-incompetent tumor cells [28]. Schliekelman et al. have identified ECM proteins and peptidases directly regulated by miR-200 and revealed that miR-200 expression can alter the tumor microenvironment to suppress EMT and metastatic processes [29]. The miR-200 family (miR-200a/b/c) mediates a key EMT step in LUAD development by regulating the expression of ZEB1 and E-cadherin (CDH1) [30]. Additionally, miR-200 downregulates BMP4 by directly targeting the GATA4 and GATA6 transcription factors. BMP4 upregulates JAG2, an upstream factor of miR-200, and the JAG2-miR-200-BMP4 loop is involved in regulating LUAD cell growth, migration, invasion, tumorigenesis, and metastasis in syngeneic mice [31]. BMP4 also enhances the expression of the T cell co-inhibitory receptor ligand PD-L1 in mesenchymal subsets of LUAD cells, resulting in CD8+ T cell-mediated immunosuppression that promotes tumor growth and metastasis [32]. Moreover, deficiency of miR-200 in LUAD cells promotes the proliferation and activation of adjacent cancer-associated fibroblasts (CAFs), thereby enhancing the metastatic potential of cancer cells. MiR-200 regulates the functional interaction between cancer cells and CAFs by targeting the Notch ligands Jagged1 and Jagged2 in cancer cells and inducing Notch activation in adjacent CAFs. Thus, interactions between cancer cells and CAFs constitute an important mechanism for promoting metastatic potential [33]. Notch ligand Jagged2 promotes LUAD metastasis in mice through a miR-200-dependent pathway [34]. Overexpression of miR-200a also blocks the increase in LUAD cell proliferation caused by GOLM1 overexpression [35]. Additionally, miR-200 can activate AKT in LUAD cells to promote cell proliferation through a FOG2-independent mechanism involving IRS-1 [36].
In addition to the classic tumor suppressor miRNAs, numerous miRNAs have been found to be closely related to LUAD. Hundreds of miRNAs have been shown to inhibit LUAD proliferation, enhance drug sensitivity, and suppress migration. For instance, transfection of miR-145 into epidermal growth factor receptor (EGFR) mutant LUAD cells led to a significant inhibition of cell growth [37]. MiR-145 targets EGFR and nucleoside diphosphate-linked partial X-type motif 1 (NUDT1 or MTH1) in LUAD cells, thereby inhibiting cell proliferation [38]. MiR-206 and miR-140 act as tumor suppressors, modulating oncogenic TRIB2 promoter activity through p-Smad3, inducing LUAD cell death, and inhibiting cell proliferation [39]. In cultured LUAD cells treated with recombinant TGF-β, ectopic expression of miR-206 impaired canonical signaling and the expression of TGF-β target genes associated with epithelial-mesenchymal transition, partially due to the suppression of Smad3 protein levels in LUAD cells expressing ectopic miR-206 [40]. MiR-29a can inhibit the growth, migration, and invasion of LUAD cells by targeting CEACAM6. MiR-29c also plays a tumor suppressor role in LUAD by directly binding to the 3′-UTR of vascular endothelial growth factor A (VEGFA) and repressing its expression. Furthermore, VEGFA regulated by miR-29c is biologically active and affects HUVEC (human umbilical vein endothelial cell) tube formation. Transfection with VEGFA expression plasmid counteracted the effects of the miR-29c mimics. The association of miR-29c with microvessel density (MVD) and VEGFA was further confirmed in patient samples [41]. Overexpression of miR-576-3p inhibited LUAD cell migration and invasion, decreased the expression of mesenchymal markers, and directly targeted serum/glucocorticoid-regulated kinase 1 (SGK1). Modulation of miR-576-3p levels resulted in changes in SGK1 protein and mRNA and activation of downstream targets associated with metastasis [42]. MiR-520c-3p, by targeting AKT1 and AKT2, regulates multiple biological functions and cellular behaviors, and inhibits the proliferation, migration, and invasion of LUAD [43]. Downregulation of the miR-150 duplex has been observed in clinical specimens of LUAD, and miR-150-3p has been found to directly regulate TNS4 expression in LUAD cells. Aberrant expression of TNS4 has been detected in clinical specimens of LUAD, and its aberrant expression has been shown to increase the invasiveness of LUAD cells [44]. All members of the miR-143/miR-145 cluster act as tumor suppressor miRNAs in LUAD. They may control many genes responsible for LUAD malignancy [45]. Moreover, AKT2 affects the proliferation, migration, and invasion of LUAD cells by regulating the cell cycle, promoting the occurrence of EMT, and the expression of matrix metalloproteinases (MMPs). Overexpression of miR-124 can downregulate AKT2 to inhibit LUAD development and progression in vivo and in vitro [46]. Some important tumor suppressor miRNAs are listed in Table 1. We have compiled almost all tumor suppressor miRNAs in Appendix S1.

2.2. Oncogenic miRNAs in LUAD

MiR-21, a well-known oncogenic miRNA, is upregulated in various types of cancer. In LUAD tissues, the expression of miR-21-5p was found to be significantly higher than in normal tissues. Additionally, high expression of miR-21-5p was associated with a poorer prognosis, with a hazard ratio (HR) of 1.59 compared to the low expression group [47]. Several studies have investigated the molecular mechanisms by which miR-21 promotes LUAD. One of these mechanisms involves the downregulation of WWC2 expression by miR-21-5p. Silencing miR-21-5p or overexpressing WWC2 inhibited PC9 cell proliferation, migration, and invasion. Western blot analysis showed that overexpression of WWC2 hindered the EMT process in LUAD cells [48]. Furthermore, miR-21 inhibits the Hippo signaling pathway by targeting KIBRA, thus promoting the progression of LUAD [49]. Additionally, SET is a direct target of miR-21-5p. Stable knockdown of miR-21-5p significantly enhanced SET/TAF-Iα expression and inhibited A549 cell migration, invasion, proliferation, and tumorigenicity [50]. In addition to lung cancer cells, miR-21 expression in lung fibroblasts may trigger their transdifferentiation into cancer-associated fibroblasts, inducing a novel CAF-secreted protein called calumenin, as well as known CAF markers such as periosteal protein, α-smooth muscle actin, and podoplanin, thereby supporting cancer progression [51]. Moreover, changes in miR-21 expression were more pronounced in cases with EGFR mutations. A strong correlation was observed between phosphorylated-EGFR (p-EGFR) and miR-21 levels in LUAD cell lines, and the inhibition of miR-21 by EGFR-TKI and AG1478 suggested that EGFR signaling is a pathway that positively regulates miR-21 expression. Antisense inhibition of miR-21 enhanced AG1478-induced apoptosis in the LUAD cell line H3255 with mutant EGFR and high levels of miR-21. Antisense miR-21 can induce apoptosis alone and also enhance the effect of AG1478 in H441 cells with EGFR wild-type. Abnormally increased miR-21 expression, further enhanced by activated EGFR signaling, plays an important role in LUAD development in both never-smokers and smokers [52].
MiR-31 is another significant oncogenic miRNA. MiR-31-5p has been found to be significantly upregulated in LUAD tissues and cell lines. Its overexpression has been shown to promote cell proliferation and migration while inhibiting apoptosis. MiR-31-5p can directly target TNS1 to promote LUAD cell growth through the TNS1/p53 axis [53]. In a transgenic mouse model of LUAD, induced expression of miR-31 synergizes with mutated KRAS to accelerate lung tumorigenesis. MiR-31 has been identified as a regulator of lung epithelial cell growth, targeting six negative regulators of RAS/MAPK signaling. Mick D Edmonds has distinguished miR-31 as a driver of lung tumorigenesis, promoting mutant KRAS-mediated tumorigenesis by directly reducing the expression of these negative regulators of RAS/MAPK signaling [54]. Additionally, Zeb1 has been found to regulate the symmetrical division of mouse Lewis LUAD stem cells through miR-31-mediated Numb [55].
Recent studies have identified an increasing number of oncogenic miRNAs in LUAD, revealing their regulatory roles in this disease. One such miRNA, miR-708, was found to be highly expressed in most LUAD cases, including those from both smokers and non-smokers. Overexpression of miR-708 was found to lead to increased cell proliferation, migration, and invasion, making it an oncogene that promotes tumor growth and disease progression. This effect is achieved by directly downregulating TMEM88, a negative regulator of the Wnt signaling pathway. Patients with LUAD who had low expression of miR-708 tended to have better survival than those with high expression [56]. Another oncogenic miRNA, miR-150, was shown to inhibit SRCIN1, leading to the activation of the Src/focal adhesion kinase (FAK) and Src/Ras/extracellular signal-regulated kinase (ERK) pathways, ultimately promoting the proliferation and migration of A549 cells [57]. MiR-483-5p promotes EMT associated with invasiveness and metastasis in LUAD. It is activated by the WNT/β-catenin signaling pathway and exerts its metastasis-promoting effect by directly targeting two metastasis suppressors, Rho GDP dissociation inhibitor α (RhoGDI1), and activated leukocyte adhesion molecule (ALCAM). Downregulation of RhoGDI1 enhances the expression of Snail, thereby promoting EMT [58]. MiR-297 was found to be upregulated in LUAD compared with adjacent normal tissues, as well as in tested LUAD cell lines. Ectopic expression of miR-297 enhances LUAD cell proliferation and colony formation and promotes cell migration and invasion. Glypican-5 (GPC5) was identified as a direct target gene of miR-297 in LUAD cells [59]. Pro-inflammatory signals, such as tumor necrosis factor (TNF), promote metastasis in LUAD by regulating miR-146a and reducing the expression of the tumor suppressor protein Merlin. Furthermore, invasive and metastatic tumors in humans had higher levels of TNF and miR-146a but lower levels of Merlin protein compared to non-invasive tumors. TNF-induced upregulation of miR-146a in LUAD promotes repression of Merlin protein and subsequent metastasis [60]. We have listed some important oncogenic miRNAs in Table 2 and included almost all oncogenic miRNAs in Appendix S2.

3. MiRNA Sponges: Competitive Endogenous RNAs (ceRNAs)

MiRNAs have been demonstrated to regulate gene expression by binding to target mRNAs, leading to translational repression or mRNA degradation. Moreover, networks consisting of protein-coding and noncoding RNAs, including long noncoding RNAs (lncRNAs), pseudogenes, small noncoding RNAs, and circular RNAs (circRNAs), can compete for the limited pool of miRNAs. These RNA molecules are referred to as competing endogenous RNAs (ceRNAs) and have the ability to sequester miRNAs, serving as natural miRNA sponges. Consequently, these RNAs co-regulate each other within a complex ceRNA network to suppress miRNA activity [61,62]. Extensive research has been conducted on miRNAs in LUAD, and the role of ceRNA sponges has become a subject of further in-depth investigation.
LncRNAs are noncoding RNAs longer than 200 base pairs [63]. According to the ceRNA hypothesis, lncRNAs can act as sponges for miRNAs, weakening their influence on mRNA. In LUAD, LINC00466 promotes tumorigenesis, invasion, migration, and proliferation, while inhibiting apoptosis by suppressing the expression of miR-144 [64]. Another lncRNA, FBXL19-AS1, functions as a miR-203a-3p sponge. The FBXL19-AS1/miR-203a-3p axis regulates LUAD cell metastasis by targeting downstream genes, including survivin, E2F1, and ZEB2 [65]. VPS9D1-AS1 promotes malignant progression in LUAD cells by acting as a miRNA-30a-5p sponge, and KIF11 is a downstream target of miRNA-30a-5p. VPS9D1-AS1 upregulates KIF11 expression by competitively sponging miRNA-30a-5p, and KIF11 restores the effect of miRNA-30a-5p on LUAD cells [66]. Additionally, the lncRNA SNHG7 is downregulated in LUAD tissues compared to normal tissues. SNHG7 interacts with miRNA-181 and upregulates the tumor suppressor cbx7, which inhibits the Wnt/β-catenin pathway in LUAD [67]. Knockdown of LINC00960 inhibits the proliferation, migration, and invasion of LUAD cells by acting as a miR-124a sponge to inhibit the SphK1/S1P pathway. The interaction between miR-124a and LINC00960 or SphK1 was confirmed by luciferase reporter and RNA pull-down assays [68].
CircRNAs also play important roles in the regulation of cancer and are involved in ceRNA networks. Circ-CAMK2A targets miR-615-5p, leading to increased expression of fibronectin 1 by sponging miR-615-5p. This increase, in turn, promotes the expression of MMP2 and MMP9, facilitating the metastasis of LUAD [69]. High expression of hsa_circ_0000326 correlates with tumor size, regional lymph node status, and differentiation in human LUAD. Hsa_circ_0000326 enhances cell proliferation and migration while inhibiting apoptosis. It functions as a competitive binding agent for miR-338-3p, modulating its activity and subsequently upregulating the expression of the downstream target RAB14 [70]. Has_circ_0001588 upregulates the expression of NACC1 by binding to miR-524-3p and promotes the proliferation, migration, and invasion of LUAD cells [71]. The oncogenic role of circCSNK1G3 was inferred from its aberrant expression and its association with enhanced proliferation, migration, and invasion in A549 and H1299 cells. It induces HOXA10 expression, promoting the growth and metastasis of LUAD cells through the sponging of miR-143-3p [72]. Studies have shown that circ_0001361 promotes the growth and metastasis of LUAD cells by acting as a sponge for miR-525-5p, which upregulates the downstream target VMA21 levels. Inhibition of circ_0001361 suppresses xenograft tumor growth in vivo by modulating the miR-525-5p/VMA21 axis [73]. Clinical samples obtained from LUAD surgery have shown that the expression of circMMD_007 is abnormally elevated, particularly in late stages of LUAD. Knockdown of circMMD_007 blocks LUAD initiation in vitro and in vivo by negatively regulating the expression of miR-197-3p. PTPN9 appears to be a molecular target of miR-197-3p [74].
These studies highlight the promising role of miRNAs in LUAD through the ceRNA network, making them potential candidates for future RNA-based research advancements in this disease. Table 3 presents some ceRNA networks, and Appendix S3 contains a comprehensive list of miRNAs involved in ceRNA networks in LUAD.

4. MiRNAs as Diagnostic Biomarkers in LUAD

Due to the complexity of lung cancer subtypes and limited understanding of risk factors, lung cancer is often diagnosed at an advanced stage, resulting in limited treatment options. Recent advancements in cancer treatment emphasize the need for accurate histological subtyping during diagnosis to optimize therapeutic response and minimize adverse effects. Early diagnosis and personalized treatment options are crucial for improving clinical outcomes in LUAD [75]. However, challenges such as interobserver variability, tumor heterogeneity, and variations in degree of differentiation can impact the pathological diagnosis of lung cancer. Relying solely on morphological assessment may be inadequate for precise distinction. Therefore, the utilization of gene signatures may play a vital role in facilitating faster diagnosis and classification. Numerous studies have focused on identifying and characterizing miRNA expression signatures in LUAD. In addition to the miRNAs mentioned in the following section, Table 4 includes additional promising miRNAs for the diagnosis of LUAD.

4.1. Tissue Sample

Lung cancer tissue and adjacent normal tissue are commonly used samples for research. The let-7 family of miRNAs has been identified as highly differentially expressed between LUAD and LUSC. Notably, these differences in histological expression are most prominent in early-stage tumors rather than advanced tumors. Therefore, leveraging let-7 differences for mechanistic insights or therapeutic benefits should primarily focus on early-stage tumors [76]. In a study using the same test samples along with 88 additional validation samples, the utility of three specific miRNAs (miR-196b, miR-205, and miR-375) as biomarkers to distinguish between LUAD and LUSC was assessed. A discriminant analysis combining these three miRNAs accurately discriminated between LUAD and LUSC in both the test and validation samples, with sensitivities and specificities of 76% and 80%, and 85% and 83%, respectively. They can be identified as biomarkers capable of distinguishing between LUAD and LUSC in the lungs [77]. Another study developed an assay based on miR-21, miR-205, and miR-375. This method accurately identified the LUAD/LUSC histotype in 25 biopsies with 96% accuracy and correctly classified all 12 cases where histopathological examination of the biopsies was incorrect. Furthermore, examination of publicly available datasets revealed miR-205 and miR-375 as the most reliable miRNAs for tissue typing of LUAD and LUSC, and the levels of these two miRNAs were not affected by tumor pathological stage, age, or race [78]. In another study, a logistic model was generated using seven candidate miRNAs (miR-29a, miR-29b, miR-34a, miR-375, miR-205, miR-25, and miR-27a) to discriminate between LUSC and LUAD. This model demonstrated a balanced accuracy of 96.0%. The miRNA panel was validated in an independent cohort of 68 FFPE surgical specimens, achieving a balanced accuracy of 97.6% and an area under the curve (AUC) value of 0.982. These results confirm the high diagnostic accuracy of the miRNA panel in distinguishing LUSC from LUAD in surgical specimens. Additionally, for LUSC and LUAD patients, the cytological diagnosis rate (81.2–71.8% and 29.0–55.0% for LUAD and LUSC, respectively) was significantly lower than that of the miRNA panel (91.8% and 88.4% for LUAD and LUSC, respectively) [79].
Furthermore, pri-miRNAs have emerged as a promising group of potential cancer biomarkers due to their high diagnostic accuracy for tumor detection. The expression of miRNA-3662 and its precursor (pri-miRNA-3662) was analyzed in 56 fresh-frozen NSCLC tissues and corresponding adjacent non-cancerous tissues. The study revealed significant overexpression of miRNA-3662 and pri-miRNA-3662 in LUAD compared to LUSC and adjacent non-cancerous tissues. Combined analysis of pri-miRNA-3662 and mature miRNA-3662 enabled differentiation of LUAD tissue from LUSC with a sensitivity of 96% and a specificity of 85.7% [80].
The presence of ground glass nodules (GGN) in the lungs has persistently posed a problem. Although GGN is strongly suggestive of lung cancer, specifically LUAD, it may also indicate a completely benign process. Early identification of GGN patients at high risk for LUAD is particularly crucial for effective treatment and improved prognosis. A 7-miRNA panel was developed to effectively analyze whether GGNs in patients are benign or indicative of LUAD. The 7-miRNA panel demonstrated a sensitivity of 86.4% and specificity of 60.6% in detecting LUAD [81].

4.2. Extracellular Fluid

Altered expression of miRNAs is well recognized to contribute to cancer development and invasion through post-transcriptional gene silencing. Numerous studies have demonstrated that changes in circulating miRNAs are associated with LUAD, indicating their potential for non-invasive detection of the disease. Recently, the analysis of miRNAs in easily accessible body fluid sources such as serum, plasma, whole blood, and sputum has gained significant interest. Detecting miRNAs in body fluids can facilitate the early identification of LUAD patients. The differential expression patterns of these miRNAs can be detected at various stages, ranging from early to progressive stages and even after cancer metastasis, enabling real-time and dynamic monitoring of changes. Therefore, there is an urgent need to identify minimally invasive biomarkers for early diagnosis [82].

4.2.1. Blood

Interest in circulating RNAs is rapidly increasing as their potential as biomarkers is recognized. Blood test is the most commonly used and convenient test in clinic. In 2012, the global expression of miRNAs in whole blood was studied to differentiate LUAD from controls. The possibility of miRNAs as biomarkers for the diagnosis of lung cancer was explored using two different methods with accuracy, sensitivity and specificity values ranging from 86% to 100%. MiR-190b, miR-630, miR-942, and miR-1284 emerged as the principal miRNAs identified in this experimental investigation [83]. Subsequent study isolated RNA from 80 serum samples and identified six miRNAs at significantly higher levels and two miRNAs at significantly lower levels in LUAD serum. Differences in miRNA profiles were further demonstrated to support the potential of circulating miRNAs as diagnostic biomarkers for LUAD [84]. Furthermore, Mei Chee Tai developed a serum miRNA-based diagnostic classifier by conducting an in-depth bioinformatics analysis of miRNA profiles in a training cohort consisting of 143 LUAD patients and 49 healthy subjects. This classifier was then validated on an independent sample cohort, comprising of LUAD patients, healthy subjects, and patients with benign lung disease, and showed a sensitivity of 89.1%, a specificity of 94.9%, and an AUC value of 0.958. Notably, the classifier correctly identified 90.8% of stage I LUAD cases [85]. Gao investigated the miRNA profiles in individuals with aggressive stage I LUAD. The study included a total of 460 participants, consisting of 254 LUAD patients, 76 patients with benign pulmonary nodules (BPNs), and 130 healthy controls (HCs). They developed a diagnostic signature (d-signature) comprising four extracellular vesicle (EV)-derived miRNAs (miR-450b-5p, miR-3615, miR-106b-3p, and miR-125a-5p) for the early detection of LUAD. The d-signature demonstrated high accuracy, with area under the curve (AUC) values of 0.917 and 0.902 in the training and test cohorts, respectively. Importantly, the d-signature could distinguish adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) patients, achieving AUC values of 0.846 and 0.92, respectively [86].
In addition to miRNA profiles, individual miRNAs can also constitute diagnostic markers for early detection of LUAD. The expression of miR-155 in the serum of LUAD patients was significantly higher than that of the normal control group. The detection of serum miR-155 levels showed much higher sensitivity than CA-125 or CEA. In addition, when combined with CA-125 detection, miR-155 obtained competitive sensitivity and specificity in the diagnosis of LUAD. Endogenous miR-155 is stably present in patient serum, allowing for sensitive and specific detection [87]. It is critical to accurately assess the operability of LUAD for effective patient management. Circulating miR-3662 in plasma demonstrated a strong correlation with the operability of LUAD. Moreover, a higher stage of lung cancer was found to be associated with increased miRNA expression [88]. This study shows that miRNAs also hold promise in determining the operability of LUAD.

4.2.2. Phlegm

MiRNA has been found to exist stably in sputum, and its detection in sputum has shown promise for diagnosing LUAD. A combination of miR-21, miR-486, miR-375, and miR-200b has been identified to differentiate between LUAD patients and healthy individuals, with a sensitivity of 80.6% and specificity of 91.7%. The marker panel has also been validated in an independent population, demonstrating improved sensitivity and specificity compared to using any single marker alone [89].

4.2.3. Pleural Fluid

The expression levels of circulating extracellular miRNAs in patients with pleural effusion may be useful for diagnosing LUAD-associated malignant pleural effusion (LA-MPE) and distinguishing it from benign pleural effusion (BPE). The same research group performed two studies on pleural effusion patients. First, they used quantitative PCR to detect the differences in the levels of miR-134, miR-185, and miR-22, which were all shown to be significantly downregulated in 45 LA-MPE patients compared to 42 BPE patients. The AUC values for miR-134, miR-185, miR-22, and CEA (carcinoembryonic antigen), common tumor marker, were 0.721, 0.882, 0.832, and 0.898, respectively. Combining CEA with the three miRNAs improved diagnostic performance, resulting in an AUC of 0.942, a sensitivity of 91.9%, and a specificity of 92.5% [90]. In the following study, they used microarray to evaluate expression of 160 miRNAs in two matched groups (n = 10) with MPE and BPE, which were then validated in the patient group from the first study. Here, miR-198 was found to be significantly downregulated in LA-MPE. In the validation set, miR-198 and CYFRA 21-1 exhibited AUC values of 0.887 and 0.836, respectively. The diagnostic ability of miR-198 is comparable to or even better than that of CEA and CYFRA 21-1, both of which are classic tumor markers commonly used in the clinic. The combined AUC for all three markers was 0.926, with a sensitivity of 89.2% and a specificity of 85.0%, suggesting that the new method was not an improvement over the first one [91].

4.2.4. Exosome

Exosomes are small secretory vesicles with a diameter of 20–150 nm, which are small spherical microvesicles produced by the exocytosis of multivesicular bodies. Exosomes can be secreted by cells under almost any physiological and pathological conditions and can also be found in body fluids such as serum, urine, saliva, and amniotic fluid. Exosomes contain various components such as DNA, lipids, proteins, miRNA, single-stranded RNA, and lncRNA, among others. These components can be transferred to recipient cells, mediating diverse biological processes including metastasis, tumorigenesis, and immune response [92]. The role of exosome-secreted miRNAs is being extensively studied, and they may serve as diagnostic biomarkers for LUAD.
A study conducted a circulating exosomal miRNA analysis on 46 stage I NSCLC patients and 42 healthy individuals. The findings indicate that miR-181-5p, miR-30a-3p, miR-30e-3p, and miR-361-5p are specifically associated with LUAD, while miR-10b-5p, miR-15b-5p, and miR-320b are specific to LUSC. These miRNAs show promise as highly sensitive, non-invasive biomarkers for early diagnosis [93]. In another study, elevated levels of circulating exosomal miR-342-5p, miR-574-5p, and miR-222-3p were observed in LUAD patients compared to healthy controls. However, their expression levels significantly decreased after tumor resection when analyzing preoperative and postoperative samples. Additionally, miR-342-5p and miR-574-5p exhibited increased expression in LUAD tissues compared to para-cancerous tissues, while miR-222-3p did not. The combined evaluation of miR-342-5p and miR-574-5p demonstrated a promising diagnostic potential with an AUC of 0.813, sensitivity of 80.0%, and specificity of 73.2% [94].

5. MiRNAs as Prognostic Biomarkers in LUAD

Studying miRNA expression profiles in different tissues may provide efficient and reliable biomarkers to predict disease outcome. As early as 2006, high miR-155 and low let-7a-2 expression were associated with poorer survival in both univariate and multivariate analyses [95]. In the Maryland cohort, elevated miR-21 was associated with worse LUAD-specific mortality. When evaluated in two other cohorts, miR-21 was also associated with worse LUAD-specific mortality in the Norwegian cohort and worse recurrence-free survival in the Japanese cohort. More advanced LUAD patients expressed significantly higher levels of miR-21 compared with TNM stage I tumors [96]. Normal lung tissues from all 23 cases with a pathological diagnosis of LUAD in the tissue bank were matched. In 19 (83%) cases, miR-29b was downregulated in tumors compared with matched normal lung tissue. Analysis using the median tumor level found that miR-29b expression levels were highly correlated with overall survival (OS) and event-free survival (EFS) [97]. The expression levels of miR-381 and miR-708 were also reported to be significantly correlated with EFS and OS, respectively [56,98]. Abnormal methylation of miRNAs can also affect the prognosis of LUAD. Patients with increased miR-34b/c methylation had significantly shorter EFS and OS compared to those with no methylation or low levels of miR-34b/c methylation. Epigenetic inactivation of miR-34b/c by DNA methylation has independent prognostic value in early-stage LUAD patients [99]. Furthermore, miR-214 expression in LUAD was found to be associated with bone metastasis. High expression of miR-214 in LUAD promoted osteoblast differentiation and facilitated intercellular communication between osteoblasts and osteoclasts through exosomal miRNAs. This disruption of bone homeostasis enhanced bone resorption, favoring cancer cell migration, proliferation, and colonization, ultimately leading to bone metastasis. Circulating exosomal miR-214 levels showed potential for predicting the risk of bone metastasis [100]. In addition to the aforementioned miRNAs, we have also compiled other miRNAs that are associated with the prognosis of LUAD in Table 5.
In recent years, an increasing number of studies have reported the involvement of miRNAs in cancer metastasis, including brain metastasis (BM) and lymph node metastasis, which are common complications of LUAD. The incidence of locally advanced LUAD combined with BM can be as high as 30–50%. Zhao et al. screened important brain metastasis-associated miRNAs from 77 LUAD patients with brain metastases (BM+) or without brain metastases (BM-). Predictive models were developed using the random forest supervised classification algorithm and the class center method. These models were trained on a set of 42 patients and then validated on a separate test set of 35 patients. A predictive model including miR-210, miR-214, and miR-15a was created to classify patients into two groups with significantly different subtypes of brain metastases with 90.4% accuracy. The similar predictive power of 91.4% accuracy was observed in the test cohort [101]. Furthermore, the expression of miR-423-5p was significantly increased in LUAD cases with brain metastasis compared to those without. A combination of imaging, histological, and molecular analyses revealed that overexpression of miR-423-5p significantly enhanced local invasion, distant brain metastasis, and tumor burden. Expression levels of MTSS1 were inversely correlated with miR-423-5p upregulation in LUAD specimens and showed a correlation with survival in brain metastasis patients [102]. In another study, miR-31 was found to be upregulated in node-positive patients in a separate cohort. The role of miR-31 as a marker of lymph node metastasis was validated in 233 LUAD cases at The Cancer Genome Atlas (TCGA). Furthermore, miR-31 was found to enhance cell migration, invasion, and proliferation through an ERK1/2 signaling-dependent mechanism. Notably, miR-31 emerged as a significant predictor of survival in multivariate Cox regression models, even when controlling for cancer stage. Additionally, reduced expression of miR-31 was associated with a favorable prognosis in patients with T2N0 stage cancer [103]. These findings indicate that miRNA can serve as an independent predictor strongly associated with brain metastasis and lymph node metastasis, offering high sensitivity and specificity in clinical practice.

6. MiRNAs in LUAD Therapy

MiRNAs hold tremendous potential in cancer therapy owing to their multifaceted biological roles. They can simultaneously suppress multiple gene targets involved in LUAD development, and even a small amount of miRNA can reverse the malignant phenotype. However, the utilization of miRNAs in LUAD therapy poses several challenges, including targeted delivery, uptake by cancer cells, and safety considerations. Table 6 provides a selection of miRNAs that could be utilized for LUAD treatment, while Appendix S4 encompasses a comprehensive list of miRNAs associated with LUAD therapy.

6.1. MiRNAs as Potential Drugs for LUAD Treatment

As discussed in Section 2, miRNAs play a dual role as oncogenes and tumor suppressors in LUAD and thus have potential as cancer therapeutics. Synthetic miRNA mimics or antagomirs have emerged as a promising strategy for treating lung cancer. MiRNA mimics and anti-miRNAs have been successfully employed to restore normal gene networks in tumor cell lines, xenograft models, and clinical trials [104]. To restore downregulated miRNA levels (tumor suppressors), miRNA mimics or miRNA expression vectors can be synthesized, while chemically modified antisense nucleotides (anti-miRNAs) are commonly used to decrease the abundance of upregulated miRNAs (oncomiRs). In lung cancer, let-7, miR-34, miR-126, miR-200c, miR-145, and miR-150 have undergone extensive investigation as potential miRNA-based therapies. The let-7 miRNA was the first to be explored for miRNA replacement therapy in lung cancer. A549 cells, which carry KRAS mutations, were transiently transfected with synthetic let-7 and subsequently subcutaneously transplanted into NOD/SCID mice. This led to a delayed tumor growth in the group transfected with synthetic let-7. The antitumor effect of let-7 was further examined by intranasally administering a let-7-expressing adenovirus (Ad.let-7) in a mouse LUAD model, resulting in a significant reduction in tumor growth among the transfected mice [105]. Carla et al. developed aptamer-miRNA conjugates as multifunctional molecules that hinder the growth of Axl-expressing tumors using aptamers that bind to and antagonize the oncogenic receptor tyrosine kinase Axl (GL21.T). By combining let-7g with GL21.T, they demonstrated selective delivery to target cells, processing by the RNA interference machinery, and silencing of let-7g target genes. Notably, this multifunctional conjugate reduced tumor growth in a LUAD xenograft model [106]. In another study, chondroitin sulfate (CS) was chemically modified via Michael addition onto polyamidoamine dendrimers (PAMAM) to construct a tumor-targeting vector called CS-PAMAM, which efficiently delivered miR-34a. Intravenous administration of the CS-PAMAM/miR-34a complex effectively suppressed tumor growth and induced tumor cell apoptosis in mice bearing A549 xenografts, attributed to the increased accumulation of miR-34a in tumor tissues [107]. Furthermore, Lv et al. synergistically utilized miR-126-3p and biomimetic nanoparticles to achieve efficient transduction of miRNA into lung cancer cells, demonstrating a promising approach for effective therapy against LUAD [108]. These findings suggest that miRNA replacement therapy holds promise for treating LUAD. Considering the significant regulatory role of miRNAs in cancer initiation and progression, numerous preclinical studies have demonstrated the tremendous potential of miRNAs in cancer therapy. Several pharmaceutical companies have initiated research and development in miRNA therapeutics for cancer treatment [109]. Other than directly targeting cancer processes, miRNAs may also be utilized to supplement conventional cancer therapies.

6.2. MiRNA and Chemo-Resistance

Chemotherapy is the primary treatment approach for lung cancer, offering improved survival and quality of life, particularly in advanced cases. However, multidrug resistance (MDR) remains a significant challenge in successful chemotherapy for cancer patients. Recent studies have revealed the pivotal involvement of miRNAs in chemotherapy-induced drug resistance.
Cisplatin, a conventional chemotherapy drug for LUAD, faces hurdles due to cisplatin resistance in clinical applications. Glutathione S-transferase P1 (GSTP1) is known to contribute to cisplatin resistance. A549/cisplatin (CDDP) cells exhibited a 2.7 ± 0.38 fold upregulation of GSTP1 mRNA expression compared to parental A549 cells, while miR-513a-3p expression was downregulated by 0.34 ± 0.03-fold. MiR-513a-3p was shown to sensitize human LUAD cells to cisplatin by targeting GSTP1 [110]. Another downregulated miRNA in A549/CDDP, miR-181b, when overexpressed, enhanced sensitivity to anticancer drugs by reducing BCL2 protein levels and promoting CDDP-induced apoptosis [111]. MiR-27a was found to regulate EMT and cisplatin resistance in vitro, as well as the response of LUAD cells to cisplatin in vivo. Higher miR-27a expression was detected in tumor tissue samples from LUAD patients receiving cisplatin-based chemotherapy, correlating with lower RKIP expression, decreased cisplatin sensitivity, and poor prognosis [112].
MiRNAs have also been identified as regulators of resistance to other chemotherapeutic drugs. In docetaxel-resistant SPC-A1/DTX cells, miR-100 was significantly downregulated compared to parental SPC-A1 cells. Ectopic miR-100 expression resensitized SPC-A1/DTX cells to docetaxel by inhibiting cell proliferation, inducing G2/M phase cell arrest, and promoting apoptosis [113]. Upregulation of miR-200b significantly improved the response of SPC-A1/DTX cells to docetaxel in a nude mouse xenograft model. A luciferase reporter gene was employed to demonstrate that miR-200b can directly target E2F3. Reduced expression of miR-200b was also observed in tumor tissues from LUAD patients undergoing docetaxel-based chemotherapy and was associated with high E2F3 expression, reduced docetaxel sensitivity, and a poor prognosis [114].
Furthermore, miRNAs can serve as predictive markers for chemotherapy response in patients. Data from Shi’s study suggest miR-25, miR-145, and miR-210 as potential predictors of response to pemetrexed maintenance therapy in patients with EGFR-mutated or ALK translocation-negative LUAD [115].
These studies underscore the critical role of miRNAs in drug sensitivity and chemotherapy resistance. MiRNAs offer a promising avenue for overcoming LUAD chemotherapy resistance in the future.

6.3. MiRNA and Radiation Therapy

Radiation therapy is a widely used treatment for LUAD, and multiple studies have demonstrated the potential of miRNAs in regulating the radiosensitivity of lung cancer cells, thereby enhancing the efficacy of radiotherapy.
In LUAD cells, miR-195-5p exhibits downregulation, while its overexpression inhibits cell proliferation and invasion while augmenting cell sensitivity to radiotherapy. MiR-195-5p achieves this effect by specifically downregulating the HOXA10 gene [116]. MiR-511 facilitates the expression and activation of the BAX protein through TRIB2, thereby increasing the sensitivity of LUAD cells to radiotherapy [117]. Potassium voltage-gated channel subfamily Q member 1 opposite strand 1 (KCNQ1OT1) induces autophagy by acting as a sponge for miR-372-3p, thereby contributing to SBRT (stereotactic body radiotherapy) resistance in LUAD. Targeting KCNQ1OT1 represents a potential strategy to enhance the antitumor effect of radiotherapy in LUAD [118]. Radiation therapy reduces the expression of the VANGL1 gene in LUAD cells. MiR-29b-3p can upregulate the expression of the VANGL1 gene, which enhances the tolerance of LUAD cells to radiation therapy. This results in a decrease in apoptosis and DNA double-strand breaks after treatment and mitigates the adverse effects of radiotherapy on LUAD [119]. Both in vitro and in vivo experiments have demonstrated that elevated miR-126-5p inhibits cell migration, promotes apoptosis, and enhances the sensitivity of LUAD cells to radiation therapy through the EZH2/KLF2/BIRC5 axis. MiR-126-5p downregulates EZH2 to sensitize LUAD cells to radiation therapy targeting KLF2/BIRC5 [120]. Overall, miRNAs play a critical role in regulating the radiosensitivity of lung cancer cells, offering a promising strategy to enhance the effectiveness of radiotherapy in treating LUAD.

6.4. MiRNA and EGFR

Over the past decade, extensive therapeutic research on LUAD has primarily focused on the EGFR pathway and genetic variations in EGFR. EGFR is one of the most prevalent proto-oncogenes in LUAD, with nearly all specific EGFR mutations involving a leucine-to-arginine change at position 858 and a deletion in exon 19 [121]. The roles of miRNAs in the EGFR signaling network have gradually emerged. Both cell and in vivo experiments demonstrated that miR-145 had a significant inhibitory effect on LUAD cell proliferation by directly targeting EGFR [38]. The expression level of miR-138-5p is markedly reduced in gefitinib-resistant LUAD cells, and miR-138-5p can reverse the response of LUAD cells to gefitinib by targeting the negative regulatory G protein-coupled receptor 124 (GPCR124) [122]. In EGFR-TKI-resistant LUAD cells, miR-7 exhibits significantly lower expression compared to sensitive cells. Liposome-mediated delivery of the miR-7 expression plasmid can reverse the resistance of LUAD cells to EGFR-TKI by targeting multiple key genes, including EGFR, PIK3CD, IRS1, and BCL2L1 [123]. Furthermore, miR-608 and miR-4513 significantly enhances the antiproliferative effect of gefitinib in LUAD cells. Patients with high expression levels of miR-608 and miR-4513 exhibit better efficacy in response to EGFR-TKI treatment. The expression levels of miR-608 and miR-4513 hold potential for predicting the response and prognosis of LUAD patients to EGFR-TKI treatment [124]. The study of miRNAs and polymorphisms offers clinical potential for personalized treatment decisions and holds great promise in LUAD research.

7. MiRNA and Tumor Immunity in LUAD

The immune system has the inherent ability to recognize and eliminate tumor cells within the tumor microenvironment. However, tumor cells can employ various mechanisms to suppress the immune system, enabling their survival and evading the antitumor immune response. These characteristics of tumor cells are commonly referred to as immune escape. Tumor immunotherapy aims to control and eliminate tumors by reactivating and sustaining the tumor-immune cycle, thus restoring the body’s natural antitumor immune response. This therapeutic approach encompasses immune checkpoint inhibitors, therapeutic antibodies, cancer vaccines, cell therapy, and small molecule inhibitors.
Among these approaches, monoclonal antibodies targeting immune checkpoint proteins have been extensively studied and represent a significant advancement in clinical trials involving patients with NSCLC. The checkpoints under investigation include cytotoxic T lymphocyte-associated antigen-4 (CTLA-4), programmed death-1 (PD-1), and its ligands PD-L1 (B7H1) and PD-L2 (B7-DC). These checkpoints respectively regulate early and late T cell activity within the tumor microenvironment [125]. Studies have identified certain miRNAs that play a role in the tumor immune response process. For instance, miR-33a has been found to exhibit a negative correlation with the expression of PD-1, PD-L1, and CTLA4. Patients with high miR-33a expression demonstrated significantly better prognosis in LUAD. Analysis of the TCGA database also revealed that elevated levels of miR-33a were associated with lower PD-1 expression and extended survival in a larger population [126]. In the LUAD model, p53 was found to regulate PDL1 through miR-34, which directly binds to the 3′ untranslated region of PDL1 [127]. Furthermore, targeting the miR-30-5p family to inhibit USP22 prevents the induction of PD-L1 expression under hypoxic conditions, thereby impeding the ability of activated T cells to kill LUAD cells [128].
In the absence of external intervention, the number of T cells capable of recognizing tumor cells within the human body is limited. Cell therapy, also known as adoptive immunotherapy or adoptive T cell transfer (ACT), aims to externally modify ordinary immune cells, enabling them to recognize tumors and trigger an immune response against tumor cells. In NK cells from LUAD patients, miR-218-5p was found to be upregulated, while SHMT1 was downregulated. Stimulation with interleukin 2 (IL-2) reversed this expression pattern. The addition of miR-218-5p reduced IL-2-induced cytokine expression and cytotoxicity against LUAD cells in NK-92 cells. Additionally, miR-218-5p negatively regulated SHMT1, attenuating the effects of miR-218-5p on cytotoxicity, IFN-γ, and TNF-α secretion in IL-2-activated NK cells. Depletion of miR-218-5p promoted NK cell killing and suppressed tumor growth [129]. In LUAD patients, miR-582 expression levels were increased, while CD1B expression was decreased. Moreover, miR-582 can directly inhibit the function of dendritic cells by targeting the CD1B gene. Downregulation of CD1B and upregulation of miR-582 are correlated with poor prognosis in patients [130].
MiRNAs also play a role in regulating immune cell infiltration, a crucial step in the immune response where immune cells invade tissues. The expression of miR-125b-5p and miRNA-30a-5p is associated with immune cell infiltration in LUAD [131,132]. The SNX20AR/miRNA-301a-3p-mediated reduction of SNX20 is linked to lung cancer progression and immune infiltration in LUAD [133]. Therefore, miRNAs hold significant potential in the field of tumor cell immunotherapy.

8. Conclusions and Future Prospects

MiRNAs have emerged as a promising tool for cancer therapy due to their ability to regulate multiple biological pathways. Dysregulation of numerous miRNAs has been observed in various types of cancer, and even subtle changes in their levels can significantly impact disease outcomes. In the context of LUAD, miRNAs act as potent inhibitors of gene expression, effectively interfering with cancer cell growth and survival. Furthermore, miRNAs exhibit greater stability in serum, plasma, and FFPE-preserved samples compared to mRNAs, making them ideal non-invasive biomarkers for monitoring disease progression and classifying cancer subtypes. Increasing evidence suggests that miRNAs have the potential to combat chemotherapy-induced drug resistance. However, it is important to consider that miRNA-based therapies may entail unpredictable side effects, as each miRNA can target hundreds of mRNAs, even beyond the intended specific target mRNA. In accordance with this, only a handful of miRNAs have entered clinical trials and almost all have been abandoned before they reached phase 3. In addition, in preclinical trials, some miRNAs have been found to be both tumor suppressors and oncogenes, demonstrating the importance of the expression landscape into which they are introduced. Identifying downstream elements to which miRNAs involved in cancer converge and targeting them with more specifically designed siRNAs might be a more promising strategy. Moreover, miRNAs derived from exosomes hold great promise in the diagnosis, prognosis, and treatment of LUAD. Further research on exosomal miRNAs in LUAD is expected to enhance our understanding of this previously overlooked miRNA fraction.
To effectively translate these foundational research findings into clinical practice, a comprehensive understanding of miRNA biology is crucial. Researchers have focused on identifying miRNA signatures that may offer new insights into longstanding questions. However, ensuring the safety and efficacy of miRNA-based therapies necessitates targeted delivery to tumor sites, efficient uptake by cancer cells, and minimizing off-target effects. Establishing standardized methods for miRNA detection, improving our understanding of the interactions between miRNAs and other genomic elements, and developing biocompatible delivery vehicles for miRNAs to target lung lesions are paramount.
In conclusion, there are still obstacles to overcome on the path to translating miRNA research into clinical practice. However, with persistent efforts and emerging research findings, we can overcome these challenges and pave the way for a new era of comprehensive miRNA application in LUAD in the near future.

Supplementary Materials

The supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms241713302/s1.

Author Contributions

Y.S.: writing—original draft. L.K., revised manuscript. I.K., project administration, supervision. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing not applicable. No new data were created or analyzed in this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bade, B.C.; Cruz, D.C.S. Lung Cancer 2020: Epidemiology, Etiology, and Prevention. Clin. Chest Med. 2020, 41, 1–24. [Google Scholar] [CrossRef]
  2. Torre, L.A.; Bray, F.; Siegel, R.L.; Ferlay, J.; Lortet-Tieulent, J.; Jemal, A. Global cancer statistics, 2012. CA Cancer J. Clin. 2015, 65, 87–108. [Google Scholar] [CrossRef]
  3. Molina, J.R.; Yang, P.; Cassivi, S.D.; Schild, S.E.; Adjei, A.A. Non-small cell lung cancer: Epidemiology, risk factors, treatment, and survivorship. Mayo Clin. Proc. 2008, 83, 584–594. [Google Scholar] [CrossRef]
  4. Lee, R.C.; Feinbaum, R.L.; Ambros, V. The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 1993, 75, 843–854. [Google Scholar] [CrossRef]
  5. Vasudevan, S.; Tong, Y.; Steitz, J.A. Switching from repression to activation: MicroRNAs can up-regulate translation. Science 2007, 318, 1931–1934. [Google Scholar] [CrossRef]
  6. Lee, Y.; Kim, M.; Han, J.; Yeom, K.H.; Lee, S.; Baek, S.H.; Kim, V.N. MicroRNA genes are transcribed by RNA polymerase II. EMBO J. 2004, 23, 4051–4060. [Google Scholar] [CrossRef] [PubMed]
  7. Gregory, R.I.; Yan, K.P.; Amuthan, G.; Chendrimada, T.; Doratotaj, B.; Cooch, N.; Shiekhattar, R. The Microprocessor complex mediates the genesis of microRNAs. Nature 2004, 432, 235–240. [Google Scholar] [CrossRef] [PubMed]
  8. Denli, A.M.; Tops, B.B.; Plasterk, R.H.; Ketting, R.F.; Hannon, G.J. Processing of primary microRNAs by the Microprocessor complex. Nature 2004, 432, 231–235. [Google Scholar] [CrossRef] [PubMed]
  9. Lee, Y.; Ahn, C.; Han, J.; Choi, H.; Kim, J.; Yim, J.; Lee, J.; Provost, P.; Radmark, O.; Kim, S.; et al. The nuclear RNase III Drosha initiates microRNA processing. Nature 2003, 425, 415–419. [Google Scholar] [CrossRef]
  10. Lund, E.; Guttinger, S.; Calado, A.; Dahlberg, J.E.; Kutay, U. Nuclear export of microRNA precursors. Science 2004, 303, 95–98. [Google Scholar] [CrossRef]
  11. Bohnsack, M.T.; Czaplinski, K.; Gorlich, D. Exportin 5 is a RanGTP-dependent dsRNA-binding protein that mediates nuclear export of pre-miRNAs. RNA 2004, 10, 185–191. [Google Scholar] [CrossRef]
  12. Lu, J.; Getz, G.; Miska, E.A.; Alvarez-Saavedra, E.; Lamb, J.; Peck, D.; Sweet-Cordero, A.; Ebert, B.L.; Mak, R.H.; Ferrando, A.A.; et al. MicroRNA expression profiles classify human cancers. Nature 2005, 435, 834–838. [Google Scholar] [CrossRef]
  13. Esquela-Kerscher, A.; Slack, F.J. Oncomirs—microRNAs with a role in cancer. Nat. Rev. Cancer 2006, 6, 259–269. [Google Scholar] [CrossRef]
  14. Diener, C.; Keller, A.; Meese, E. Emerging concepts of miRNA therapeutics: From cells to clinic. Trends Genet. 2022, 38, 613–626. [Google Scholar] [CrossRef] [PubMed]
  15. Du, X.; Zhang, J.; Wang, J.; Lin, X.; Ding, F. Role of miRNA in Lung Cancer-Potential Biomarkers and Therapies. Curr. Pharm. Des. 2018, 23, 5997–6010. [Google Scholar] [CrossRef] [PubMed]
  16. Shaker, F.; Nikravesh, A.; Arezumand, R.; Aghaee-Bakhtiari, S.H. Web-based tools for miRNA studies analysis. Comput. Biol. Med. 2020, 127, 104060. [Google Scholar] [CrossRef]
  17. Lee, Y.S.; Dutta, A. MicroRNAs in cancer. Annu. Rev. Pathol. 2009, 4, 199–227. [Google Scholar] [CrossRef] [PubMed]
  18. Takamizawa, J.; Konishi, H.; Yanagisawa, K.; Tomida, S.; Osada, H.; Endoh, H.; Harano, T.; Yatabe, Y.; Nagino, M.; Nimura, Y.; et al. Reduced expression of the let-7 microRNAs in human lung cancers in association with shortened postoperative survival. Cancer Res. 2004, 64, 3753–3756. [Google Scholar] [CrossRef]
  19. Inamura, K.; Togashi, Y.; Nomura, K.; Ninomiya, H.; Hiramatsu, M.; Satoh, Y.; Okumura, S.; Nakagawa, K.; Ishikawa, Y. let-7 microRNA expression is reduced in bronchioloalveolar carcinoma, a non-invasive carcinoma, and is not correlated with prognosis. Lung Cancer 2007, 58, 392–396. [Google Scholar] [CrossRef]
  20. Zhao, W.; Hu, J.X.; Hao, R.M.; Zhang, Q.; Guo, J.Q.; Li, Y.J.; Xie, N.; Liu, L.Y.; Wang, P.Y.; Zhang, C.; et al. Induction of microRNA-let-7a inhibits lung adenocarcinoma cell growth by regulating cyclin D1. Oncol. Rep. 2018, 40, 1843–1854. [Google Scholar] [CrossRef] [PubMed]
  21. Li, Y.; Dong, R.; Lu, M.; Cheng, C.; Feng, Z.; Zhao, R.; Liang, J.; Han, J.; Jiang, J.; Xu-Welliver, M.; et al. Let-7b-3p inhibits tumor growth and metastasis by targeting the BRF2-mediated MAPK/ERK pathway in human lung adenocarcinoma. Transl. Lung Cancer Res. 2021, 10, 1841–1856. [Google Scholar] [CrossRef] [PubMed]
  22. Wang, P.Y.; Sun, Y.X.; Zhang, S.; Pang, M.; Zhang, H.H.; Gao, S.Y.; Zhang, C.; Lv, C.J.; Xie, S.Y. Let-7c inhibits A549 cell proliferation through oncogenic TRIB2 related factors. FEBS Lett. 2013, 587, 2675–2681. [Google Scholar] [CrossRef]
  23. Nelson, H.H.; Christensen, B.C.; Plaza, S.L.; Wiencke, J.K.; Marsit, C.J.; Kelsey, K.T. KRAS mutation, KRAS-LCS6 polymorphism, and non-small cell lung cancer. Lung Cancer 2010, 69, 51–53. [Google Scholar] [CrossRef] [PubMed]
  24. Kim, J.S.; Kim, E.J.; Lee, S.; Tan, X.; Liu, X.; Park, S.; Kang, K.; Yoon, J.S.; Ko, Y.H.; Kurie, J.M.; et al. MiR-34a and miR-34b/c have distinct effects on the suppression of lung adenocarcinomas. Exp. Mol. Med. 2019, 51, 1–10. [Google Scholar] [CrossRef]
  25. Daugaard, I.; Knudsen, A.; Kjeldsen, T.E.; Hager, H.; Hansen, L.L. The association between miR-34 dysregulation and distant metastases formation in lung adenocarcinoma. Exp. Mol. Pathol. 2017, 102, 484–491. [Google Scholar] [CrossRef] [PubMed]
  26. Sato, T.; Shiba-Ishii, A.; Kim, Y.; Dai, T.; Husni, R.E.; Hong, J.; Kano, J.; Sakashita, S.; Iijima, T.; Noguchi, M. miR-3941: A novel microRNA that controls IGBP1 expression and is associated with malignant progression of lung adenocarcinoma. Cancer Sci. 2017, 108, 536–542. [Google Scholar] [CrossRef]
  27. Okada, N.; Lin, C.P.; Ribeiro, M.C.; Biton, A.; Lai, G.; He, X.; Bu, P.; Vogel, H.; Jablons, D.M.; Keller, A.C.; et al. A positive feedback between p53 and miR-34 miRNAs mediates tumor suppression. Genes. Dev. 2014, 28, 438–450. [Google Scholar] [CrossRef]
  28. Gibbons, D.L.; Lin, W.; Creighton, C.J.; Rizvi, Z.H.; Gregory, P.A.; Goodall, G.J.; Thilaganathan, N.; Du, L.; Zhang, Y.; Pertsemlidis, A.; et al. Contextual extracellular cues promote tumor cell EMT and metastasis by regulating miR-200 family expression. Genes. Dev. 2009, 23, 2140–2151. [Google Scholar] [CrossRef]
  29. Schliekelman, M.J.; Gibbons, D.L.; Faca, V.M.; Creighton, C.J.; Rizvi, Z.H.; Zhang, Q.; Wong, C.H.; Wang, H.; Ungewiss, C.; Ahn, Y.H.; et al. Targets of the tumor suppressor miR-200 in regulation of the epithelial-mesenchymal transition in cancer. Cancer Res. 2011, 71, 7670–7682. [Google Scholar] [CrossRef]
  30. Roy, B.C.; Kohno, T.; Iwakawa, R.; Moriguchi, T.; Kiyono, T.; Morishita, K.; Sanchez-Cespedes, M.; Akiyama, T.; Yokota, J. Involvement of LKB1 in epithelial-mesenchymal transition (EMT) of human lung cancer cells. Lung Cancer 2010, 70, 136–145. [Google Scholar] [CrossRef]
  31. Kim, J.S.; Kurie, J.M.; Ahn, Y.H. BMP4 depletion by miR-200 inhibits tumorigenesis and metastasis of lung adenocarcinoma cells. Mol. Cancer 2015, 14, 173. [Google Scholar] [CrossRef] [PubMed]
  32. Chen, L.; Yi, X.; Goswami, S.; Ahn, Y.H.; Roybal, J.D.; Yang, Y.; Diao, L.; Peng, D.; Peng, D.; Fradette, J.J.; et al. Growth and metastasis of lung adenocarcinoma is potentiated by BMP4-mediated immunosuppression. Oncoimmunology 2016, 5, e1234570. [Google Scholar] [CrossRef] [PubMed]
  33. Xue, B.; Chuang, C.H.; Prosser, H.M.; Fuziwara, C.S.; Chan, C.; Sahasrabudhe, N.; Kuhn, M.; Wu, Y.; Chen, J.; Biton, A.; et al. miR-200 deficiency promotes lung cancer metastasis by activating Notch signaling in cancer-associated fibroblasts. Genes. Dev. 2021, 35, 1109–1122. [Google Scholar] [CrossRef] [PubMed]
  34. Yang, Y.; Ahn, Y.H.; Gibbons, D.L.; Zang, Y.; Lin, W.; Thilaganathan, N.; Alvarez, C.A.; Moreira, D.C.; Creighton, C.J.; Gregory, P.A.; et al. The Notch ligand Jagged2 promotes lung adenocarcinoma metastasis through a miR-200-dependent pathway in mice. J. Clin. Investig. 2011, 121, 1373–1385. [Google Scholar] [CrossRef] [PubMed]
  35. Yang, L.; Luo, P.; Song, Q.; Fei, X. DNMT1/miR-200a/GOLM1 signaling pathway regulates lung adenocarcinoma cells proliferation. Biomed. Pharmacother. 2018, 99, 839–847. [Google Scholar] [CrossRef]
  36. Guo, L.; Wang, J.; Yang, P.; Lu, Q.; Zhang, T.; Yang, Y. MicroRNA-200 promotes lung cancer cell growth through FOG2-independent AKT activation. IUBMB Life 2015, 67, 720–725. [Google Scholar] [CrossRef]
  37. Cho, W.C.; Chow, A.S.; Au, J.S. Restoration of tumour suppressor hsa-miR-145 inhibits cancer cell growth in lung adenocarcinoma patients with epidermal growth factor receptor mutation. Eur. J. Cancer 2009, 45, 2197–2206. [Google Scholar] [CrossRef] [PubMed]
  38. Cho, W.C.; Chow, A.S.; Au, J.S. MiR-145 inhibits cell proliferation of human lung adenocarcinoma by targeting EGFR and NUDT1. RNA Biol. 2011, 8, 125–131. [Google Scholar] [CrossRef]
  39. Zhang, Y.X.; Yan, Y.F.; Liu, Y.M.; Li, Y.J.; Zhang, H.H.; Pang, M.; Hu, J.X.; Zhao, W.; Xie, N.; Zhou, L.; et al. Smad3-related miRNAs regulated oncogenic TRIB2 promoter activity to effectively suppress lung adenocarcinoma growth. Cell Death Dis. 2016, 7, e2528. [Google Scholar] [CrossRef]
  40. Watt, K.; Newsted, D.; Voorand, E.; Gooding, R.J.; Majewski, A.; Truesdell, P.; Yao, B.; Tuschl, T.; Renwick, N.; Craig, A.W. MicroRNA-206 suppresses TGF-beta signalling to limit tumor growth and metastasis in lung adenocarcinoma. Cell. Signal. 2018, 50, 25–36. [Google Scholar] [CrossRef]
  41. Liu, L.; Bi, N.; Wu, L.; Ding, X.; Men, Y.; Zhou, W.; Li, L.; Zhang, W.; Shi, S.; Song, Y.; et al. MicroRNA-29c functions as a tumor suppressor by targeting VEGFA in lung adenocarcinoma. Mol. Cancer 2017, 16, 50. [Google Scholar] [CrossRef]
  42. Greenawalt, E.J.; Edmonds, M.D.; Jain, N.; Adams, C.M.; Mitra, R.; Eischen, C.M. Targeting of SGK1 by miR-576-3p Inhibits Lung Adenocarcinoma Migration and Invasion. Mol. Cancer Res. 2019, 17, 289–298. [Google Scholar] [CrossRef]
  43. Li, X.; Fu, Q.; Li, H.; Zhu, L.; Chen, W.; Ruan, T.; Xu, W.; Yu, X. MicroRNA-520c-3p functions as a novel tumor suppressor in lung adenocarcinoma. FEBS J. 2019, 286, 2737–2752. [Google Scholar] [CrossRef] [PubMed]
  44. Misono, S.; Seki, N.; Mizuno, K.; Yamada, Y.; Uchida, A.; Sanada, H.; Moriya, S.; Kikkawa, N.; Kumamoto, T.; Suetsugu, T.; et al. Molecular Pathogenesis of Gene Regulation by the miR-150 Duplex: MiR-150-3p Regulates TNS4 in Lung Adenocarcinoma. Cancers 2019, 11, 601. [Google Scholar] [CrossRef]
  45. Sanada, H.; Seki, N.; Mizuno, K.; Misono, S.; Uchida, A.; Yamada, Y.; Moriya, S.; Kikkawa, N.; Machida, K.; Kumamoto, T.; et al. Involvement of Dual Strands of miR-143 (miR-143-5p and miR-143-3p) and Their Target Oncogenes in the Molecular Pathogenesis of Lung Adenocarcinoma. Int. J. Mol. Sci. 2019, 20, 4482. [Google Scholar] [CrossRef] [PubMed]
  46. Liu, T.; Zhu, J.; Du, W.; Ning, W.; Zhang, Y.; Zeng, Y.; Liu, Z.; Huang, J.A. AKT2 drives cancer progression and is negatively modulated by miR-124 in human lung adenocarcinoma. Respir. Res. 2020, 21, 227. [Google Scholar] [CrossRef]
  47. Cui, S.; Lou, S.; Guo, W.; Jian, S.; Wu, Y.; Liu, X.; Lan, X.; Jia, X. Prediction of MiR-21-5p in Promoting the Development of Lung Adenocarcinoma via PDZD2 Regulation. Med. Sci. Monit. 2020, 26, e923366. [Google Scholar] [CrossRef] [PubMed]
  48. Wang, G.; Zhou, Y.; Chen, W.; Yang, Y.; Ye, J.; Ou, H.; Wu, H. miR-21-5p promotes lung adenocarcinoma cell proliferation, migration and invasion via targeting WWC2. Cancer Biomark 2020, 28, 549–559. [Google Scholar] [CrossRef]
  49. An, Y.; Zhang, Q.; Li, X.; Wang, Z.; Li, Y.; Tang, X. Upregulated microRNA miR-21 promotes the progression of lung adenocarcinoma through inhibition of KIBRA and the Hippo signaling pathway. Biomed. Pharmacother. 2018, 108, 1845–1855. [Google Scholar] [CrossRef]
  50. Zhong, J.; Ren, X.; Chen, Z.; Zhang, H.; Zhou, L.; Yuan, J.; Li, P.; Chen, X.; Liu, W.; Wu, D.; et al. miR-21-5p promotes lung adenocarcinoma progression partially through targeting SET/TAF-Ialpha. Life Sci. 2019, 231, 116539. [Google Scholar] [CrossRef]
  51. Kunita, A.; Morita, S.; Irisa, T.U.; Goto, A.; Niki, T.; Takai, D.; Nakajima, J.; Fukayama, M. MicroRNA-21 in cancer-associated fibroblasts supports lung adenocarcinoma progression. Sci. Rep. 2018, 8, 8838. [Google Scholar] [CrossRef]
  52. Seike, M.; Goto, A.; Okano, T.; Bowman, E.D.; Schetter, A.J.; Horikawa, I.; Mathe, E.A.; Jen, J.; Yang, P.; Sugimura, H.; et al. MiR-21 is an EGFR-regulated anti-apoptotic factor in lung cancer in never-smokers. Proc. Natl. Acad. Sci. USA 2009, 106, 12085–12090. [Google Scholar] [CrossRef]
  53. Zhu, C.; Wang, S.; Zheng, M.; Chen, Z.; Wang, G.; Ma, J.; Zhang, B.; Huang, W.; Sun, X.; Wang, C. miR-31-5p modulates cell progression in lung adenocarcinoma through TNS1/p53 axis. Strahlenther. Onkol. 2022, 198, 304–314. [Google Scholar] [CrossRef]
  54. Edmonds, M.D.; Boyd, K.L.; Moyo, T.; Mitra, R.; Duszynski, R.; Arrate, M.P.; Chen, X.; Zhao, Z.; Blackwell, T.S.; Andl, T.; et al. MicroRNA-31 initiates lung tumorigenesis and promotes mutant KRAS-driven lung cancer. J. Clin. Investig. 2016, 126, 349–364. [Google Scholar]
  55. Wang, J.; Zhou, T.; Sun, Z.; Ye, T.; Zhou, S.; Li, J.; Liu, Y.; Kong, L.; Tang, J.; Liu, D.; et al. Zeb1 Regulates the Symmetric Division of Mouse Lewis Lung Carcinoma Stem Cells through Numb mediated by miR-31. Int. J. Biol. Sci. 2018, 14, 1399–1410. [Google Scholar] [CrossRef] [PubMed]
  56. Jang, J.S.; Jeon, H.S.; Sun, Z.; Aubry, M.C.; Tang, H.; Park, C.H.; Rakhshan, F.; Schultz, D.A.; Kolbert, C.P.; Lupu, R.; et al. Increased miR-708 expression in NSCLC and its association with poor survival in lung adenocarcinoma from never smokers. Clin. Cancer Res. 2012, 18, 3658–3667. [Google Scholar] [CrossRef] [PubMed]
  57. Cao, M.; Hou, D.; Liang, H.; Gong, F.; Wang, Y.; Yan, X.; Jiang, X.; Wang, C.; Zhang, J.; Zen, K.; et al. miR-150 promotes the proliferation and migration of lung cancer cells by targeting SRC kinase signalling inhibitor 1. Eur. J. Cancer 2014, 50, 1013–1024. [Google Scholar]
  58. Song, Q.; Xu, Y.; Yang, C.; Chen, Z.; Jia, C.; Chen, J.; Zhang, Y.; Lai, P.; Fan, X.; Zhou, X.; et al. miR-483-5p promotes invasion and metastasis of lung adenocarcinoma by targeting RhoGDI1 and ALCAM. Cancer Res. 2014, 74, 3031–3042. [Google Scholar] [PubMed]
  59. Sun, Y.; Zhao, J.; Yin, X.; Yuan, X.; Guo, J.; Bi, J. miR-297 acts as an oncogene by targeting GPC5 in lung adenocarcinoma. Cell Prolif. 2016, 49, 636–643. [Google Scholar] [CrossRef]
  60. Sanchez, N.C.; Medrano-Jimenez, E.; Aguilar-Leon, D.; Perez-Martinez, L.; Pedraza-Alva, G. Tumor Necrosis Factor-Induced miR-146a Upregulation Promotes Human Lung Adenocarcinoma Metastasis by Targeting Merlin. DNA Cell Biol. 2020, 39, 484–497. [Google Scholar] [CrossRef]
  61. Salmena, L.; Poliseno, L.; Tay, Y.; Kats, L.; Pandolfi, P.P. A ceRNA hypothesis: The Rosetta Stone of a hidden RNA language? Cell 2011, 146, 353–358. [Google Scholar] [CrossRef]
  62. Thomson, D.W.; Dinger, M.E. Endogenous microRNA sponges: Evidence and controversy. Nat. Rev. Genet. 2016, 17, 272–283. [Google Scholar] [PubMed]
  63. Li, L.; Chang, H.Y. Physiological roles of long noncoding RNAs: Insight from knockout mice. Trends Cell Biol. 2014, 24, 594–602. [Google Scholar] [PubMed]
  64. Ma, T.; Hu, Y.; Guo, Y.; Yan, B. Tumor-Promoting Activity of Long Noncoding RNA LINC00466 in Lung Adenocarcinoma via miR-144-Regulated HOXA10 Axis. Am. J. Pathol. 2019, 189, 2154–2170. [Google Scholar] [PubMed]
  65. Wang, L.; Zhang, X.; Liu, Y.; Xu, S. Long noncoding RNA FBXL19-AS1 induces tumor growth and metastasis by sponging miR-203a-3p in lung adenocarcinoma. J. Cell Physiol. 2020, 235, 3612–3625. [Google Scholar] [PubMed]
  66. Liu, J.; Feng, Y.; Zeng, X.; He, M.; Gong, Y.; Liu, Y. LncRNA VPS9D1-AS1 Promotes Malignant Progression of Lung Adenocarcinoma by Targeting miRNA-30a-5p/KIF11 Axis. Front. Genet. 2021, 12, 807628. [Google Scholar]
  67. Pei, Y.F.; He, Y.; Hu, L.Z.; Zhou, B.; Xu, H.Y.; Liu, X.Q. The Crosstalk between lncRNA-SNHG7/miRNA-181/cbx7 Modulates Malignant Character in Lung Adenocarcinoma. Am. J. Pathol. 2020, 190, 1343–1354. [Google Scholar]
  68. Ge, Z.; Liu, H.; Ji, T.; Liu, Q.; Zhang, L.; Zhu, P.; Li, L.; Zhu, L. Long non-coding RNA 00960 promoted the aggressiveness of lung adenocarcinoma via the miR-124a/SphK1 axis. Bioengineered 2022, 13, 1276–1287. [Google Scholar] [CrossRef]
  69. Du, J.; Zhang, G.; Qiu, H.; Yu, H.; Yuan, W. The novel circular RNA circ-CAMK2A enhances lung adenocarcinoma metastasis by regulating the miR-615-5p/fibronectin 1 pathway. Cell Mol. Biol. Lett. 2019, 24, 72. [Google Scholar]
  70. Xu, Y.; Yu, J.; Huang, Z.; Fu, B.; Tao, Y.; Qi, X.; Mou, Y.; Hu, Y.; Wang, Y.; Cao, Y.; et al. Circular RNA hsa_circ_0000326 acts as a miR-338-3p sponge to facilitate lung adenocarcinoma progression. J. Exp. Clin. Cancer Res. 2020, 39, 57. [Google Scholar]
  71. Sun, Z. Circular RNA hsa_circ_0001588 promotes the malignant progression of lung adenocarcinoma by modulating miR-524-3p/NACC1 signaling. Life Sci. 2020, 259, 118157. [Google Scholar] [CrossRef] [PubMed]
  72. Lu, T.; Qiu, T.; Han, B.; Wang, Y.; Sun, X.; Qin, Y.; Liu, A.; Ge, N.; Jiao, W. Circular RNA circCSNK1G3 induces HOXA10 signaling and promotes the growth and metastasis of lung adenocarcinoma cells through hsa-miR-143-3p sponging. Cell Oncol. 2021, 44, 297–310. [Google Scholar]
  73. Shen, H.Y.; Shi, L.X.; Wang, L.; Fang, L.P.; Xu, W.; Xu, J.Q.; Fan, B.Q.; Fan, W.F. Hsa_circ_0001361 facilitates the progress of lung adenocarcinoma cells via targeting miR-525-5p/VMA21 axis. J. Transl. Med. 2021, 19, 389. [Google Scholar] [CrossRef] [PubMed]
  74. Zhu, L.; Guo, T.; Chen, W.; Lin, Z.; Ye, M.; Pan, X. CircMMD_007 promotes oncogenic effects in the progression of lung adenocarcinoma through microRNA-197-3p/protein tyrosine phosphatase non-receptor type 9 axis. Bioengineered 2022, 13, 4991–5004. [Google Scholar] [CrossRef]
  75. Nooreldeen, R.; Bach, H. Current and Future Development in Lung Cancer Diagnosis. Int. J. Mol. Sci. 2021, 22, 8661. [Google Scholar] [CrossRef]
  76. Landi, M.T.; Zhao, Y.; Rotunno, M.; Koshiol, J.; Liu, H.; Bergen, A.W.; Rubagotti, M.; Goldstein, A.M.; Linnoila, I.; Marincola, F.M.; et al. MicroRNA expression differentiates histology and predicts survival of lung cancer. Clin. Cancer Res. 2010, 16, 430–441. [Google Scholar]
  77. Hamamoto, J.; Soejima, K.; Yoda, S.; Naoki, K.; Nakayama, S.; Satomi, R.; Terai, H.; Ikemura, S.; Sato, T.; Yasuda, H.; et al. Identification of microRNAs differentially expressed between lung squamous cell carcinoma and lung adenocarcinoma. Mol. Med. Rep. 2013, 8, 456–462. [Google Scholar] [CrossRef]
  78. Patnaik, S.; Mallick, R.; Kannisto, E.; Sharma, R.; Bshara, W.; Yendamuri, S.; Dhillon, S.S. MiR-205 and MiR-375 microRNA assays to distinguish squamous cell carcinoma from adenocarcinoma in lung cancer biopsies. J. Thorac. Oncol. 2015, 10, 446–453. [Google Scholar] [CrossRef]
  79. Huang, W.; Hu, J.; Yang, D.W.; Fan, X.T.; Jin, Y.; Hou, Y.Y.; Wang, J.P.; Yuan, Y.F.; Tan, Y.S.; Zhu, X.Z.; et al. Two microRNA panels to discriminate three subtypes of lung carcinoma in bronchial brushing specimens. Am. J. Respir. Crit. Care Med. 2012, 186, 1160–1167. [Google Scholar] [CrossRef]
  80. Powrozek, T.; Mlak, R.; Dziedzic, M.; Malecka-Massalska, T.; Sagan, D. Analysis of primary-miRNA-3662 and its mature form may improve detection of the lung adenocarcinoma. J. Cancer Res. Clin. Oncol. 2017, 143, 1941–1946. [Google Scholar] [CrossRef]
  81. He, Y.; Yang, Y.; Kuang, P.; Ren, S.; Rozeboom, L.; Rivard, C.J.; Li, X.; Zhou, C.; Hirsch, F.R. Seven-microRNA panel for lung adenocarcinoma early diagnosis in patients presenting with ground-glass nodules. Onco Targets Ther. 2017, 10, 5915–5926. [Google Scholar]
  82. Wang, H.; Peng, R.; Wang, J.; Qin, Z.; Xue, L. Circulating microRNAs as potential cancer biomarkers: The advantage and disadvantage. Clin. Epigenetics 2018, 10, 59. [Google Scholar]
  83. Patnaik, S.K.; Yendamuri, S.; Kannisto, E.; Kucharczuk, J.C.; Singhal, S.; Vachani, A. MicroRNA expression profiles of whole blood in lung adenocarcinoma. PLoS ONE 2012, 7, e46045. [Google Scholar]
  84. Rani, S.; Gately, K.; Crown, J.; O’Byrne, K.; O’Driscoll, L. Global analysis of serum microRNAs as potential biomarkers for lung adenocarcinoma. Cancer Biol. Ther. 2013, 14, 1104–1112. [Google Scholar] [CrossRef] [PubMed]
  85. Tai, M.C.; Yanagisawa, K.; Nakatochi, M.; Hotta, N.; Hosono, Y.; Kawaguchi, K.; Naito, M.; Taniguchi, H.; Wakai, K.; Yokoi, K.; et al. Blood-borne miRNA profile-based diagnostic classifier for lung adenocarcinoma. Sci. Rep. 2016, 6, 31389. [Google Scholar] [CrossRef]
  86. Gao, S.; Guo, W.; Liu, T.; Liang, N.; Ma, Q.; Gao, Y.; Tan, F.; Xue, Q.; He, J. Plasma extracellular vesicle microRNA profiling and the identification of a diagnostic signature for stage I lung adenocarcinoma. Cancer Sci. 2022, 113, 648–659. [Google Scholar] [PubMed]
  87. Gao, F.; Chang, J.; Wang, H.; Zhang, G. Potential diagnostic value of miR-155 in serum from lung adenocarcinoma patients. Oncol. Rep. 2014, 31, 351–357. [Google Scholar] [PubMed]
  88. Powrozek, T.; Krawczyk, P.; Kowalski, D.M.; Winiarczyk, K.; Olszyna-Serementa, M.; Milanowski, J. Plasma circulating microRNA-944 and microRNA-3662 as potential histologic type-specific early lung cancer biomarkers. Transl. Res. 2015, 166, 315–323. [Google Scholar]
  89. Yu, L.; Todd, N.W.; Xing, L.; Xie, Y.; Zhang, H.; Liu, Z.; Fang, H.; Zhang, J.; Katz, R.L.; Jiang, F. Early detection of lung adenocarcinoma in sputum by a panel of microRNA markers. Int. J. Cancer 2010, 127, 2870–2878. [Google Scholar] [PubMed]
  90. Shin, Y.M.; Yun, J.; Lee, O.J.; Han, H.S.; Lim, S.N.; An, J.Y.; Lee, K.H.; Lee, K.M.; Choe, K.H. Diagnostic Value of Circulating Extracellular miR-134, miR-185, and miR-22 Levels in Lung Adenocarcinoma-Associated Malignant Pleural Effusion. Cancer Res. Treat. 2014, 46, 178–185. [Google Scholar] [PubMed]
  91. Han, H.S.; Yun, J.; Lim, S.N.; Han, J.H.; Lee, K.H.; Kim, S.T.; Kang, M.H.; Son, S.M.; Lee, Y.M.; Choi, S.Y.; et al. Downregulation of cell-free miR-198 as a diagnostic biomarker for lung adenocarcinoma-associated malignant pleural effusion. Int. J. Cancer 2013, 133, 645–652. [Google Scholar] [PubMed]
  92. Zhang, Y.; Liu, F.; Yuan, Y.; Jin, C.; Chang, C.; Zhu, Y.; Zhang, X.; Tian, C.; He, F.; Wang, J. Inflammasome-Derived Exosomes Activate NF-kappaB Signaling in Macrophages. J. Proteome Res. 2017, 16, 170–178. [Google Scholar] [CrossRef] [PubMed]
  93. Jin, X.; Chen, Y.; Chen, H.; Fei, S.; Chen, D.; Cai, X.; Liu, L.; Lin, B.; Su, H.; Zhao, L.; et al. Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non-Small Cell Lung Cancer Using Next-Generation Sequencing. Clin. Cancer Res. 2017, 23, 5311–5319. [Google Scholar]
  94. Han, Z.; Li, Y.; Zhang, J.; Guo, C.; Li, Q.; Zhang, X.; Lan, Y.; Gu, W.; Xing, Z.; Liang, L.; et al. Tumor-derived circulating exosomal miR-342-5p and miR-574-5p as promising diagnostic biomarkers for early-stage Lung Adenocarcinoma. Int. J. Med. Sci. 2020, 17, 1428–1438. [Google Scholar] [CrossRef]
  95. Yanaihara, N.; Caplen, N.; Bowman, E.; Seike, M.; Kumamoto, K.; Yi, M.; Stephens, R.M.; Okamoto, A.; Yokota, J.; Tanaka, T.; et al. Unique microRNA molecular profiles in lung cancer diagnosis and prognosis. Cancer Cell 2006, 9, 189–198. [Google Scholar]
  96. Saito, M.; Schetter, A.J.; Mollerup, S.; Kohno, T.; Skaug, V.; Bowman, E.D.; Mathe, E.A.; Takenoshita, S.; Yokota, J.; Haugen, A.; et al. The association of microRNA expression with prognosis and progression in early-stage, non-small cell lung adenocarcinoma: A retrospective analysis of three cohorts. Clin. Cancer Res. 2011, 17, 1875–1882. [Google Scholar]
  97. Rothschild, S.I.; Tschan, M.P.; Federzoni, E.A.; Jaggi, R.; Fey, M.F.; Gugger, M.; Gautschi, O. MicroRNA-29b is involved in the Src-ID1 signaling pathway and is dysregulated in human lung adenocarcinoma. Oncogene 2012, 31, 4221–4232. [Google Scholar] [PubMed]
  98. Rothschild, S.I.; Tschan, M.P.; Jaggi, R.; Fey, M.F.; Gugger, M.; Gautschi, O. MicroRNA-381 represses ID1 and is deregulated in lung adenocarcinoma. J. Thorac. Oncol. 2012, 7, 1069–1077. [Google Scholar] [CrossRef] [PubMed]
  99. Nadal, E.; Chen, G.; Gallegos, M.; Lin, L.; Ferrer-Torres, D.; Truini, A.; Wang, Z.; Lin, J.; Reddy, R.M.; Llatjos, R.; et al. Epigenetic inactivation of microRNA-34b/c predicts poor disease-free survival in early-stage lung adenocarcinoma. Clin. Cancer Res. 2013, 19, 6842–6852. [Google Scholar]
  100. Zhang, J.; Wu, J. The Potential Roles of Exosomal miR-214 in Bone Metastasis of Lung Adenocarcinoma. Front. Oncol. 2020, 10, 611054. [Google Scholar]
  101. Zhao, S.; Yu, J.; Wang, L. Machine Learning Based Prediction of Brain Metastasis of Patients with IIIA-N2 Lung Adenocarcinoma by a Three-miRNA Signature. Transl. Oncol. 2018, 11, 157–167. [Google Scholar]
  102. Sun, G.; Ding, X.; Bi, N.; Wu, L.; Wang, J.; Zhang, W.; Dong, X.; Lv, N.; Song, Y.; Zhan, Q.; et al. MiR-423-5p in brain metastasis: Potential role in diagnostics and molecular biology. Cell Death Dis. 2018, 9, 936. [Google Scholar]
  103. Meng, W.; Ye, Z.; Cui, R.; Perry, J.; Dedousi-Huebner, V.; Huebner, A.; Wang, Y.; Li, B.; Volinia, S.; Nakanishi, H.; et al. MicroRNA-31 predicts the presence of lymph node metastases and survival in patients with lung adenocarcinoma. Clin. Cancer Res. 2013, 19, 5423–5433. [Google Scholar] [PubMed]
  104. Hong, D.S.; Kang, Y.K.; Borad, M.; Sachdev, J.; Ejadi, S.; Lim, H.Y.; Brenner, A.J.; Park, K.; Lee, J.L.; Kim, T.Y.; et al. Phase 1 study of MRX34, a liposomal miR-34a mimic, in patients with advanced solid tumours. Br. J. Cancer 2020, 122, 1630–1637. [Google Scholar] [PubMed]
  105. Esquela-Kerscher, A.; Trang, P.; Wiggins, J.F.; Patrawala, L.; Cheng, A.; Ford, L.; Weidhaas, J.B.; Brown, D.; Bader, A.G.; Slack, F.J. The let-7 microRNA reduces tumor growth in mouse models of lung cancer. Cell Cycle 2008, 7, 759–764. [Google Scholar] [CrossRef]
  106. Esposito, C.L.; Cerchia, L.; Catuogno, S.; De Vita, G.; Dassie, J.P.; Santamaria, G.; Swiderski, P.; Condorelli, G.; Giangrande, P.H.; de Franciscis, V. Multifunctional aptamer-miRNA conjugates for targeted cancer therapy. Mol. Ther. 2014, 22, 1151–1163. [Google Scholar]
  107. Chen, W.; Liu, Y.; Liang, X.; Huang, Y.; Li, Q. Chondroitin sulfate-functionalized polyamidoamine as a tumor-targeted carrier for miR-34a delivery. Acta Biomater. 2017, 57, 238–250. [Google Scholar]
  108. Liang, L.; Cen, H.; Huang, J.; Qin, A.; Xu, W.; Wang, S.; Chen, Z.; Tan, L.; Zhang, Q.; Yu, X.; et al. The reversion of DNA methylation-induced miRNA silence via biomimetic nanoparticles-mediated gene delivery for efficient lung adenocarcinoma therapy. Mol. Cancer 2022, 21, 186. [Google Scholar]
  109. Monroig-Bosque Pdel, C.; Rivera, C.A.; Calin, G.A. MicroRNAs in cancer therapeutics: “from the bench to the bedside”. Expert Opin. Biol. Ther. 2015, 15, 1381–1385. [Google Scholar] [PubMed]
  110. Zhang, X.; Zhu, J.; Xing, R.; Tie, Y.; Fu, H.; Zheng, X.; Yu, B. miR-513a-3p sensitizes human lung adenocarcinoma cells to chemotherapy by targeting GSTP1. Lung Cancer 2012, 77, 488–494. [Google Scholar]
  111. Zhu, W.; Shan, X.; Wang, T.; Shu, Y.; Liu, P. miR-181b modulates multidrug resistance by targeting BCL2 in human cancer cell lines. Int. J. Cancer 2010, 127, 2520–2529. [Google Scholar] [CrossRef]
  112. Li, J.; Wang, Y.; Song, Y.; Fu, Z.; Yu, W. miR-27a regulates cisplatin resistance and metastasis by targeting RKIP in human lung adenocarcinoma cells. Mol. Cancer 2014, 13, 193. [Google Scholar] [CrossRef] [PubMed]
  113. Feng, B.; Wang, R.; Chen, L.B. MiR-100 resensitizes docetaxel-resistant human lung adenocarcinoma cells (SPC-A1) to docetaxel by targeting Plk1. Cancer Lett. 2012, 317, 184–191. [Google Scholar] [CrossRef] [PubMed]
  114. Feng, B.; Wang, R.; Song, H.Z.; Chen, L.B. MicroRNA-200b reverses chemoresistance of docetaxel-resistant human lung adenocarcinoma cells by targeting E2F3. Cancer 2012, 118, 3365–3376. [Google Scholar] [CrossRef]
  115. Shi, S.B.; Wang, M.; Tian, J.; Li, R.; Chang, C.X.; Qi, J.L. MicroRNA 25, microRNA 145, and microRNA 210 as biomarkers for predicting the efficacy of maintenance treatment with pemetrexed in lung adenocarcinoma patients who are negative for epidermal growth factor receptor mutations or anaplastic lymphoma kinase translocations. Transl. Res. 2016, 170, 1–7. [Google Scholar]
  116. Yuan, C.; Bai, R.; Gao, Y.; Jiang, X.; Li, S.; Sun, W.; Li, Y.; Huang, Z.; Gong, Y.; Xie, C. Effects of MicroRNA-195-5p on Biological Behaviors and Radiosensitivity of Lung Adenocarcinoma Cells via Targeting HOXA10. Oxid. Med. Cell. Longev. 2021, 2021, 4522210. [Google Scholar] [CrossRef]
  117. Zhang, H.H.; Pang, M.; Dong, W.; Xin, J.X.; Li, Y.J.; Zhang, Z.C.; Yu, L.; Wang, P.Y.; Li, B.S.; Xie, S.Y. miR-511 induces the apoptosis of radioresistant lung adenocarcinoma cells by triggering BAX. Oncol. Rep. 2014, 31, 1473–1479. [Google Scholar] [CrossRef]
  118. He, H.; Song, X.; Yang, Z.; Mao, Y.; Zhang, K.; Wang, Y.; Su, B.; Li, Q.; Chen, H.; Li, Y. Upregulation of KCNQ1OT1 promotes resistance to stereotactic body radiotherapy in lung adenocarcinoma by inducing ATG5/ATG12-mediated autophagy via miR-372-3p. Cell Death Dis. 2020, 11, 883. [Google Scholar] [CrossRef]
  119. Hao, C.C.; Xu, C.Y.; Zhao, X.Y.; Luo, J.N.; Wang, G.; Zhao, L.H.; Ge, X.; Ge, X.F. Up-regulation of VANGL1 by IGF2BPs and miR-29b-3p attenuates the detrimental effect of irradiation on lung adenocarcinoma. J. Exp. Clin. Cancer Res. 2020, 39, 256. [Google Scholar] [CrossRef] [PubMed]
  120. Han, F.; Huang, D.; Meng, J.; Chu, J.; Wang, M.; Chen, S. miR-126-5p enhances radiosensitivity of lung adenocarcinoma cells by inhibiting EZH2 via the KLF2/BIRC axis. J. Cell Mol. Med. 2022, 26, 2529–2542. [Google Scholar] [CrossRef]
  121. Rosell, R.; Moran, T.; Queralt, C.; Porta, R.; Cardenal, F.; Camps, C.; Majem, M.; Lopez-Vivanco, G.; Isla, D.; Provencio, M.; et al. Screening for epidermal growth factor receptor mutations in lung cancer. N. Engl. J. Med. 2009, 361, 958–967. [Google Scholar] [CrossRef]
  122. Gao, Y.; Fan, X.; Li, W.; Ping, W.; Deng, Y.; Fu, X. miR-138-5p reverses gefitinib resistance in non-small cell lung cancer cells via negatively regulating G protein-coupled receptor 124. Biochem. Biophys Res Commun 2014, 446, 179–186. [Google Scholar] [CrossRef] [PubMed]
  123. Rai, K.; Takigawa, N.; Ito, S.; Kashihara, H.; Ichihara, E.; Yasuda, T.; Shimizu, K.; Tanimoto, M.; Kiura, K. Liposomal delivery of MicroRNA-7-expressing plasmid overcomes epidermal growth factor receptor tyrosine kinase inhibitor-resistance in lung cancer cells. Mol. Cancer Ther. 2011, 10, 1720–1727. [Google Scholar] [CrossRef] [PubMed]
  124. Zhang, N.; Li, Y.; Zheng, Y.; Zhang, L.; Pan, Y.; Yu, J.; Yang, M. miR-608 and miR-4513 significantly contribute to the prognosis of lung adenocarcinoma treated with EGFR-TKIs. Lab. Investig. 2019, 99, 568–576. [Google Scholar] [CrossRef]
  125. Fife, B.T.; Bluestone, J.A. Control of peripheral T-cell tolerance and autoimmunity via the CTLA-4 and PD-1 pathways. Immunol. Rev. 2008, 224, 166–182. [Google Scholar] [CrossRef] [PubMed]
  126. Boldrini, L.; Giordano, M.; Niccoli, C.; Melfi, F.; Lucchi, M.; Mussi, A.; Fontanini, G. Role of microRNA-33a in regulating the expression of PD-1 in lung adenocarcinoma. Cancer Cell Int. 2017, 17, 105. [Google Scholar] [CrossRef] [PubMed]
  127. Cortez, M.A.; Ivan, C.; Valdecanas, D.; Wang, X.; Peltier, H.J.; Ye, Y.; Araujo, L.; Carbone, D.P.; Shilo, K.; Giri, D.K.; et al. PDL1 Regulation by p53 via miR-34. J. Natl. Cancer Inst. 2016, 108, djv303. [Google Scholar] [CrossRef]
  128. Hua, X.; Chu, H.; Wang, C.; Shi, X.; Wang, A.; Zhang, Z. Targeting USP22 with miR-30-5p to inhibit the hypoxia-induced expression of PD-L1 in lung adenocarcinoma cells. Oncol. Rep. 2021, 46, 215. [Google Scholar] [CrossRef]
  129. Yang, Q.; Li, J.; Hu, Y.; Tang, X.; Yu, L.; Dong, L.; Chen, D. MiR-218-5p Suppresses the Killing Effect of Natural Killer Cell to Lung Adenocarcinoma by Targeting SHMT1. Yonsei Med. J. 2019, 60, 500–508. [Google Scholar] [CrossRef]
  130. Guo, J.; Jin, H.; Xi, Y.; Guo, J.; Jin, Y.; Jiang, D. The miR-582/CD1B Axis Is Involved in Regulation of Dendritic Cells and Is Associated with Clinical Outcomes in Advanced Lung Adenocarcinoma. Biomed. Res. Int. 2020, 2020, 4360930. [Google Scholar] [CrossRef]
  131. Tang, L.; Yuan, Y.; Zhai, H.; Wang, J.; Zhang, D.; Liang, H.; Shi, Y.; Duan, L.; Jiang, X. MicroRNA-125b-5p Correlates With Prognosis and Lung Adenocarcinoma Progression. Front. Mol. Biosci. 2021, 8, 788690. [Google Scholar] [CrossRef] [PubMed]
  132. Jiang, X.; Yuan, Y.; Tang, L.; Wang, J.; Zhang, D.; Cho, W.C.; Duan, L. Identification and Validation Prognostic Impact of MiRNA-30a-5p in Lung Adenocarcinoma. Front. Oncol. 2022, 12, 831997. [Google Scholar] [CrossRef] [PubMed]
  133. Yuan, Y.; Jiang, X.; Tang, L.; Wang, J.; Liu, Q.; Zou, X.; Duan, L. SNX20AR/MiRNA-301a-3p/SNX20 Axis Associated With Cell Proliferation and Immune Infiltration in Lung Adenocarcinoma. Front. Mol. Biosci. 2021, 8, 744363. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Schematic representation of miRNA biogenesis.
Figure 1. Schematic representation of miRNA biogenesis.
Ijms 24 13302 g001
Table 1. Tumor suppressor miRNAs in LUAD.
Table 1. Tumor suppressor miRNAs in LUAD.
MiRNAPossible TargetIdentified EffectsReferences (PMID and Link accessed on 22 August 2023)
miR-1FAM83Asuppress A549 cell growth and motility 33266425 (https://www.mdpi.com/1422-0067/21/22/8833)
miR-7BCL-2inhibit A549 cell proliferation, migration and induce apoptosis 21750649 (https://www.ijbs.com/v07p0805.htm)
miR-22ErbB3exhibit excellent anticancer activity both in vitro and in vivo 22484852 (https://link.springer.com/article/10.1007/s00432-012-1194-2)
miR-23bcyclin D1inhibit the proliferation and migration 28976503 (https://pubs.rsc.org/en/content/articlelanding/2017/BM/C7BM00599G)
miR-98TGFBR1inhibit proliferation and metastasis in A549 cell 30387848 (https://www.spandidos-publications.com/ijo/54/1/128)
miR-125aSTAT3inhibit the proliferation, invasion and metastasis 31930562 (https://onlinelibrary.wiley.com/doi/10.1002/jcb.29586)
miR-126ADAM9inhibit lung adenocarcinoma (LUAD) development and progression 36171576 (https://molecular-cancer.biomedcentral.com/articles/10.1186/s12943-022-01651-4)
miR-142NR2F6suppress the proliferation, migration and invasion 31168689 (https://link.springer.com/article/10.1007/s13577-019-00258-0)
miR-144EZH2contribute to progression of LUAD 30280514 (https://onlinelibrary.wiley.com/doi/10.1002/cam4.1714)
miR-145EGFR/NUDT1inhibit cell proliferation of human LUAD 21289483 (https://www.tandfonline.com/doi/abs/10.4161/rna.8.1.14259)
miR-149RAP1Binhibit the progression of LUAD 32432747 (https://www.europeanreview.org/article/21173)
miR-150TNS4inhibit LUAD cell malignancy 31052206 (https://www.mdpi.com/2072-6694/11/5/601)
Table 2. Oncogenic miRNAs in LUAD.
Table 2. Oncogenic miRNAs in LUAD.
MiRNAPossible TargetIdentified EffectsReferences (PMID and Link accessed on 22 August 2023)
miR-9ID4promotes LUAD cell progression 34723712 (https://journals.sagepub.com/doi/full/10.1177/15330338211048592)
miR-10bKLF4promotes A549 cell proliferation and invasion 24216130 (https://eurjmedres.biomedcentral.com/articles/10.1186/2047-783X-18-41)
miR-19PTENtriggers EMT of LUAD cells accompanied by growth inhibition 26098000 (https://www.laboratoryinvestigation.org/article/S0023-6837(22)01359-9/fulltext)
miR-21SET/TAF-Iαpromotes LUAD progression 31176779 (https://www.sciencedirect.com/science/article/abs/pii/S002432051930459X)
miR-93PTEN, RB1plays an oncogenic role by inhibiting PTEN and RB1 29309884 (https://www.sciencedirect.com/science/article/abs/pii/S0378111918300313)
miR-96ARHGAP6an oncogene in LUAD and facilitate tumor progression 34338998 (https://link.springer.com/article/10.1007/s13353-021-00652-1)
miR-183PECAM1positive influence on LUAD cell viability and proliferation 29749535 (https://www.spandidos-publications.com/or/40/1/83)
miR-196aANXA1promotes migration and invasion 33775710 (https://www.sciencedirect.com/science/article/abs/pii/S0304383521001324)
miR-196bRSPO2promotes proliferation, migration and invasion 33402849 (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778444/)
Table 3. MiRNAs involved in ceRNA networks in LUAD.
Table 3. MiRNAs involved in ceRNA networks in LUAD.
MiRNAPossible TargetIdentified EffectsReferences (PMID and Link accessed on 22 August 2023)
miR-7IRS2circFAT1 promotes tumorigenesis through sequestering miR-7 35844799 (https://www.ijbs.com/v18p3944.htm)
miR-9CPEB3linc00968/miR-9/CPEB3 regulatory axis plays a critical role in LUAD 33159015 (https://www.aging-us.com/article/103833)
miR-17QKI-5circ-MTO1/miR-17/QKI-5 feedback loop inhibits LUAD progression 30975029 (https://www.tandfonline.com/doi/full/10.1080/15384047.2019.1598762)
miR-18bVMA21lncRNA ZFPM2-AS1 promotes proliferation via miR-18b/VMA21 axis in LUAD 31297866 (https://onlinelibrary.wiley.com/doi/10.1002/jcb.29176)
miR-20aSLC7A5circRNA LDLRAD3 enhances the malignant behaviors of LUAD cells via the miR-20a-5p-SLC7A5 axis 35035814 (https://www.hindawi.com/journals/jhe/2022/2373580/)
miR-20bCCND1linc00467 promotes LUAD proliferation via sponging miR-20b-5p 31686834 (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709798/)
miR-22BCL2lncRNA DGCR5 promotes LUAD progression via inhibiting miR-22 29030962 (https://onlinelibrary.wiley.com/doi/10.1002/jcp.26215)
miR-26aE2F7SNHG6 may act as an oncogenic lncRNA in LUAD carcinogenesis by regulating the miR-26a-5p/E2F7 axis 30257360 (https://www.sciencedirect.com/science/article/abs/pii/S0753332218341921)
miR-29bSTAT3lncRNA H19 promotes viability and EMT of LUAD cells by targeting miR-29b-3p and modifying STAT3 30747209 (https://www.spandidos-publications.com/ijo/54/3/929)
miR-33bGPAMlncRNA MSC-AS1 facilitates LUAD through sponging miR-33b-5p to upregulate GPAM 33821667 (https://cdnsciencepub.com/doi/full/10.1139/bcb-2020-0239)
miR-34PDL1has-circRNA-002178 could enhance PDL1 expression via sponging miR-34 in LUAD cells to induce T-cell exhaustion 31949130 (https://www.nature.com/articles/s41419-020-2230-9)
miR-96CYLDlncRNA GMDS-AS1 inhibits LUAD development by regulating miR-96-5p/CYLD signaling 31860169 (https://onlinelibrary.wiley.com/doi/10.1002/cam4.2776)
miR-98AKR1B10-ERKlinc00665 promotes LUAD progression and functions as ceRNA to regulate AKR1B10-ERK signaling by sponging miR-98 30692511 (https://www.nature.com/articles/s41419-019-1361-3)
miR-100SMARCA5lncRNA HAGLROS facilitates the malignant phenotypes via repressing miR-100 and upregulating SMARCA5 35307327 (https://www.sciencedirect.com/science/article/pii/S2319417020302365)
Table 4. MiRNAs associated with LUAD diagnosis.
Table 4. MiRNAs associated with LUAD diagnosis.
MiRNASample Source and Identification EffectsStatisticsPatient Stage, n (%)References (PMID and Link accessed on 22 August 2023)
miR-10bMiR-10b in extracellular vesicles may be a potential diagnostic biomarker for LUADAUC = 0.998,
sensitivity = 98.75%,
specificity = 98.55%
I  58 (72.5%)
II  16 (20.0%)
III  5 (6.3%)
Unknown 1(1.2%)
34257722 (https://www.spandidos-publications.com/10.3892/ol.2021.12875)
miR-126Bronchoalveolar lavage fluid exosomal miR-126 could serve as diagnostic biomarkers in early-stage LUAD/IA  8 (61.5%),
IB  2 (15.4%),
IIA  3 (23.1%)
29806739 (https://onlinelibrary.wiley.com/doi/10.1111/1759-7714.12756)
miR-130aMiR-130A as a diagnostic marker to differentiate malignant mesothelioma from LUAD in pleural effusion cytology AUC = 0.70,
sensitivity = 77%,
specificity = 67%
/28449331 (https://acsjournals.onlinelibrary.wiley.com/doi/10.1002/cncy.21869)
miR-505Extracellular vesicle-delivered miR-505-5p as a diagnostic biomarker for early-stage LUADAUC = 0.899,
sensitivity = 83.3%,
specificity = 93.3%
/30864684 (https://www.spandidos-publications.com/ijo/54/5/1821)
miR-19b, miR-183Plasma-derived miR-19b, miR-183 can be used to identify lung cancer and miR-183 was more effective in discriminating LUAD from healthy individuals AUC = 0.990,
sensitivity = 94.7%,
specificity = 95.2%
I  -
II  24 (32.0%)
III  47 (62.7%)
IV  4 (5.3%)
27768748 (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0165261)
miR-339, miR-21Plasma-based miR-339 and miR-21 evaluation can serve as the tumor markers for LUAD screeningAUC = 0.963,
sensitivity = 92.9%,
specificity = 92.9%
IA  12 (42.9%),
IB  3 (10.7%),
IIA  2 (7.1%),
IIB 5  (17.9%),
IIIA  4 (14.3%),
IIIB  2 (7.1%)
29103767 (https://www.sciencedirect.com/science/article/abs/pii/S0344033817308737)
miR-4529, miR-8075, miR-7704Three miRNA integrations in Exhaled Breath Condensate differentiated LUAD and LUSC with high accuracyAUC = 0.98,
sensitivity = 100%,
specificity = 88.0%
I  1 (4.8%)
II  3 (14.3%)
III  5 (23.8%)
IV  12 (57.1%)
33572343 (https://www.mdpi.com/2075-4426/11/2/111)
Table 5. MiRNAs associated with LUAD prognosis.
Table 5. MiRNAs associated with LUAD prognosis.
MiRNASample Source and Identification EffectsStatisticsPatient Stage, n (%)References (PMID and Link accessed on 22 August 2023)
miR-125bMiR-125b is decreased in LUAD tissues and correlates with poor prognosis p  =  0.001/35187068 (https://www.frontiersin.org/articles/10.3389/fmolb.2021.788690/full)
miR-142Serum miR-142-3p is associated with early relapse in operable LUAD patients p = 0.007/23410826 (https://www.lungcancerjournal.info/article/S0169-5002(13)00023-8/fulltext)
miR-145MiR-145 level in LUAD tissues is an independent risk factor for both OS and DFS in LUAD p  =  0.004I  34 (37.0%)
II  25 (27.1%)
III  33 (35.9%)
26582602 (https://www.nature.com/articles/srep16901)
miR-210MiR-210 expression in LUAD tissues is a prognostic factor for OS in patientsp  =  0.001I  54 (67.5%)
II-III  26 (32.5%)
25733977 (https://www.hindawi.com/journals/jo/2015/316745/)
miR-324The combination of TP53 mutations and high miR-324-5p expression in LUAD tissues can predict poor prognosisp  =  0.052/34257080 (https://aacrjournals.org/mcr/article/19/10/1635/665704/MicroRNA-324-5p-CUEDC2-Axis-Mediates-Gain-of)
miR-650MiR-650 expression level in LUAD tissues is significantly correlated with lymph node metastasis and clinical stagep  =  0.019I-II  53 (55.2%)
III-IV  43 (44.8%)
23991130 (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0072615)
miR-940Decreased miR-940 expression in LUAD tissues can predict a negative prognosis in early-stage female patientsp  =  0.011IA  8 (65.7%),
IB  4 (33.3%)
35004257 (https://tlcr.amegroups.org/article/view/58742/html)
miR-126 Both miRNAs within LUAD tissues exhibit the capability to predict pathological stage, tumor diameter, and lymph node metastasis. AUC = 0.715,
sensitivity = 64%,
specificity = 75%
I  25 (51%)
II-III  24 (49%)
27277197 (https://www.spandidos-publications.com/or/36/2/909)
miR-451aAUC = 0.742,
sensitivity = 84%,
specificity = 67%
miR-141 High miR-141 and miR-200c expression in LUAD tissues are associated with shorter OS through MET and angiogenesisp  =  0.009 I  94 (60.6%)
II  34 (22%)
III  27 (17.4%)
25003366 (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0101899)
miR-200c p < 0.001
Table 6. MiRNAs associated with LUAD therapy.
Table 6. MiRNAs associated with LUAD therapy.
MiRNAIdentified MechanismReferences (PMID and Link accessed on 22 August 2023)
Tyrosine kinase inhibitors
miR-1decrease sensitivity to EGFR-TKI by changing tumor immune microenvironment 33305905 (https://onlinelibrary.wiley.com/doi/10.1002/cam4.3639)
miR-7reduce EGFR expression in LUAD cell lines with acquired EGFR-TKI resistance 21712475 (https://aacrjournals.org/mct/article/10/9/1720/91084/Liposomal-Delivery-of-MicroRNA-7-Expressing)
miR-16restoring sensitivity to erlotinib in KRAS-mutated LUAD in vitro and in vivo 34948154 (https://www.mdpi.com/1422-0067/22/24/13357)
miR-17inhibit the EZH1 enhancer that contributes to EGFR-TKI resistance in cancer27633093 (https://www.tandfonline.com/doi/full/10.1080/1061186X.2016.1207647)
miR-21correlate with progression of EML4-ALK-translocated LUAD in patients prescribed ALK-TKI treatment30658414 (https://www.mdpi.com/2072-6694/11/1/104)
miR-23ainhibition of miR-23a increases the sensitivity of LUAD stem cells to erlotinib 28901474 (https://www.spandidos-publications.com/or/38/5/3064)
Chemotherapy—Cisplatin
miR-10aincrease the cisplatin resistance of LUAD circulating tumor cells via targeting PIK3CA32186774 (https://www.spandidos-publications.com/10.3892/or.2020.7547)
miR-15bincrease cisplatin resistance and metastasis by targeting PEBP4 in LUAD cells 25721211 (https://www.nature.com/articles/cgt201473)
miR-20asuppress the PTEN/PI3K-AKT pathway to promote chemoresistance to cisplatin of LUAD cells 35857905 (https://onlinelibrary.wiley.com/doi/10.1002/ctm2.989)
miR-26aresponsible for A549 cell sensitivity in the treatment of cisplatin through E2F1-Akt pathway 26492332 (https://www.tandfonline.com/doi/full/10.1080/15384047.2015.1095405)
miR-30binhibit cancer progression and enhance cisplatin sensitivity in LUAD through targeting LRP8 33779882 (https://link.springer.com/article/10.1007/s10495-021-01665-1)
miR-31inhibit cisplatin-induced apoptosis in LUAD cells by regulating the drug transporter ABCB9 24099915 (https://www.sciencedirect.com/science/article/abs/pii/S0304383513007039)
miR-32,
miR-548a
promote sensitivity of LUAD cells to cisplatin by targeting ROBO1 and inhibiting the activation of Wnt/β-catenin axis 33854371 (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039019/)
Chemotherapy—Celastrol
miR-33aenhance the sensitivity of LUAD cells to celastrol by regulating mTOR signaling 29484434 (https://www.spandidos-publications.com/ijo/52/4/1328)
Chemotherapy—Docetaxel
miR-100resensitize docetaxel-resistant LUAD cells (SPC-A1) by targeting Plk1 22120675 (https://www.sciencedirect.com/science/article/abs/pii/S0304383511007257)
Radiotherapy
miR-15a/16enhance radiation sensitivity of A549 cell by targeting the TLR1/NF-κB signaling 25442346 (https://www.redjournal.org/article/S0360-3016(14)04127-3/fulltext)
miR-18aincrease the radiosensitivity in LUAD cells via downregulating ATM and HIF-1α expressions 29860718 (https://onlinelibrary.wiley.com/doi/10.1002/cam4.1527)
miR-26bdownregulate ATF2 to enhance radiosensitivity of LUAD cells 32476275 (https://onlinelibrary.wiley.com/doi/10.1111/jcmm.15402)
miR-29bupregulation of VANGL1 by IGF2BPs and miR-29b attenuates the detrimental effect of irradiation on LUAD 33228740 (https://jeccr.biomedcentral.com/articles/10.1186/s13046-020-01772-y)
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Song, Y.; Kelava, L.; Kiss, I. MiRNAs in Lung Adenocarcinoma: Role, Diagnosis, Prognosis, and Therapy. Int. J. Mol. Sci. 2023, 24, 13302. https://doi.org/10.3390/ijms241713302

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Song Y, Kelava L, Kiss I. MiRNAs in Lung Adenocarcinoma: Role, Diagnosis, Prognosis, and Therapy. International Journal of Molecular Sciences. 2023; 24(17):13302. https://doi.org/10.3390/ijms241713302

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Song, Yongan, Leonardo Kelava, and István Kiss. 2023. "MiRNAs in Lung Adenocarcinoma: Role, Diagnosis, Prognosis, and Therapy" International Journal of Molecular Sciences 24, no. 17: 13302. https://doi.org/10.3390/ijms241713302

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Song, Y., Kelava, L., & Kiss, I. (2023). MiRNAs in Lung Adenocarcinoma: Role, Diagnosis, Prognosis, and Therapy. International Journal of Molecular Sciences, 24(17), 13302. https://doi.org/10.3390/ijms241713302

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