Search Results (672)

Background: Head and neck squamous cell carcinoma (HNSCC) is a prevalent malignancy with poor clinical outcomes. microRNA-7-5p (miR-7-5p) has been described as both a tumour suppressor and an oncomiR depending on the tissue context, but its role in HNSCC remains unclear. This study aimed to clarify the clinical significance and biological function of miR-7-5p in HNSCC by integrating data from multiple sources. Methods: A systematic review of the literature was conducted to identify studies analysing miRNA expression in human head and neck tissues. A meta-analysis of individual patient data from Gene Expression Omnibus (GEO), ArrayExpress, and The Cancer Genome Atlas (TCGA) was performed to assess miR-7-5p expression in tumours and normal tissues, and its associations with clinical parameters and prognostic outcomes. Bioinformatics analyses were used to predict miR-7-5p target genes, classify hub genes, and perform gene ontology enrichment analysis. MicroRNA in situ hybridisation (miRNA ISH) and real-time quantitative PCR (RT-qPCR) were conducted on tissue samples, HNSCC cell lines, and an in vitro model of oral oncogenesis to validate miR-7-5p expression patterns. Results: miR-7-5p was significantly upregulated in tumours compared to normal tissues and associated with larger tumour size, HPV-negative status, poor disease-specific survival, and shorter progression-free intervals. Bioinformatics analysis highlighted miR-7-5p target genes enriched in pathways related to cell growth, survival, and tumourigenesis. Despite evidence supporting the anti-cancer role of exogenous miR-7-5p in preclinical models, the observed endogenous upregulation in tumours suggests that miR-7-5p expression may represent a compensatory or stress-responsive mechanism during tumourigenesis, rather than acting as a primary oncogenic driver. Conclusions: This study provides new insights into the complex role of miR-7-5p in HNSCC, supporting its potential as both a biomarker and a therapeutic target. Understanding the context-specific functions of miR-7-5p is essential for its development as an RNA-based therapeutic in HNSCC. Full article

Background/Objectives: Galectin-3 (Gal-3), encoded by LGALS3, is a β-galactoside-binding lectin involved in diverse tumor-associated processes, including immune modulation, cell cycle regulation, and stress adaptation. Despite its known roles in cancer biology, the full extent of its molecular functions and prognostic relevance across tumor types remains incompletely understood. This study aimed to systematically investigate the transcriptomic impact of LGALS3 deletion and assess its clinical significance in cancer. Methods: We analyzed CRISPR-Cas9 knockout transcriptomic data from the SigCom LINCS database to characterize the consensus gene signature associated with LGALS3 loss using functional enrichment analyses. Pan-cancer survival analyses were conducted using TIMER2.0. Differential Gal-3 protein levels in ductal adenocarcinoma and normal pancreatic tissues were evaluated using the Human Protein Atlas. Finally, functional analyses were performed in pancreatic ductal adenocarcinoma (PDAC). Results: LGALS3 deletion across multiple cancer cell lines led to transcriptomic changes involving mitotic progression, stress responses, and axonal guidance pathways. High LGALS3 expression was significantly associated with worse overall survival in lower-grade glioma, PDAC, uveal melanoma, and kidney renal papillary cell carcinoma. LGALS3 knockout in YAPC cells recapitulated the pan-cancer findings, linking LGALS3 to cell morphogenesis and proliferation. Conclusions: These findings identify Galectin-3 as a key regulator of oncogenic programs and a potential prognostic biomarker in PDAC and other malignancies, with implications for therapeutic targeting. Full article

Background: Colorectal cancer (CRC) represents a major global health challenge, characterized by rising incidence and mortality rates, necessitating improved diagnostic and therapeutic approaches. This study aimed to elucidate the expression and functional role of PAK6, a protein linked to cancer progression, as a potential biomarker for CRC. Methods: Utilizing comprehensive analyses of transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), we performed differential expression assessments, survival analyses, and functional enrichment studies. Results: Our findings demonstrate a significant upregulation of PAK6 in CRC tissues compared to adjacent normal tissues (p < 0.001), with a diagnostic AUC of 0.855, indicating its potential utility as a reliable biomarker for early detection. High PAK6 expression was significantly associated with aggressive clinicopathological features, including poor differentiation, residual tumor presence and reduced overall survival (HR = 1.72, p = 0.004). Functional enrichment analyses revealed PAK6’s involvement in critical biological processes such as cell cycle regulation, alongside its correlation with immune infiltration, particularly NK and CD8⁺ T cells. Moreover, PAK6 expression positively correlated with chemokines involved in immune cell recruitment, suggesting its role in modulating the tumor immune microenvironment. Conclusions: Our study underscores the significance of PAK6 as a diagnostic and prognostic biomarker in CRC, with the potential to inform targeted therapeutic strategies and enhance patient outcomes. Future research should focus on validating these findings in larger cohorts and exploring PAK6-targeted interventions to improve immunotherapeutic responses in CRC patients Full article

Objectives: MicroRNAs of the miR-200 family are recognized as key inhibitors of epithelial-to-mesenchymal transition (EMT). However, there is limited data on the potential regulation of miR-200 family expression by long non-coding RNAs (lncRNAs) in RCC. Methods: We conducted a comprehensive literature and database search to identify lncRNAs that had been already functionally validated as regulators of any member of the miR-200 family. We analyzed the expression levels of the miR-200 family and the identified lncRNAs by qPCR. The study included 42 samples of carcinoma and non-carcinoma tissue from 25 RCC patients. In addition, we used RNA sequencing data from The Cancer Genome Atlas (TCGA), encompassing 511 kidney RCC (KIRC) samples, to further analyze the expression of miRNAs and lncRNAs. Results: We identified 127 lncRNAs with confirmed regulatory functions, 31 of which were validated in our samples. The majority of lncRNAs, along with all members of the miR-200 family, showed consistent downregulation in carcinoma tissues compared to non-carcinoma tissues. We observed a significant correlation between the expression of at least one member of the miR-200 family and 17 lncRNAs. In particular, three lncRNAs (MALAT1, OIP5-AS1, and LINC00467) showed a correlation with the expression of all members of the miR-200 family. Our results were at least partially confirmed in KIRC samples from the TCGA dataset. Conclusions: Our results suggest that the expression of the miR-200 family in RCC might be at least partially influenced by lncRNAs. Based on our cohort of samples, MALAT1, OIP5-AS1, and LINC00467 appear to be potentially important contributors to RCC development. Full article

Efficient allocation of mineral nutrients and photoassimilates is essential for grain development in rice. However, the transcriptional programs governing nutrient transport at key reproductive stages remain largely unresolved. Here, we performed a comprehensive transcriptome analysis of rice (Oryza sativa L.) across spatial (nodes, roots, and five other tissues) and temporal (seven reproductive stages) dimensions to elucidate the molecular basis of nutrient transport and allocation. RNA-seq profiling of node I identified stage-specific gene expression patterns, with the grain filling stage marked by strong induction of transporters involved in mineral allocation (e.g., OsYSL2, OsZIP3, OsSULTR3;3, SPDT) and carbohydrate distribution (e.g., OsSWEET13, OsSWEET14, OsMST6). Comparative analysis with the neck-panicle node (NPN) and root revealed tissue-specific regulatory networks, including nitrate (OsNRT1.1A, OsNRT2.3) and phosphate (OsPHT1;4, OsPHO1;3) transporters enriched at the grain filling stage. Root expression of Cd/As-related transporters (OsNRAMP5, OsCd1, OsLsi1, OsLsi2, OsLsi3) during grain filling highlights the contribution of belowground uptake to grain metal accumulation. Together, our study establishes a spatiotemporal atlas of nutrient transporter gene activity during rice reproductive development and identifies candidate genes regulating upward and lateral nutrient allocation. These findings provide insights into improving nutrient use efficiency and reducing toxic metal accumulation in rice grains through targeted manipulation of nodal and root transport systems. Full article

Background/Objectives: Lower-grade glioma (LGG) is a type of brain tumor with a relatively better prognosis than glioblastoma. However, identifying therapeutic targets for LGGs remains elusive. To uncover the molecular features of LGGs, functional genomics data have been investigated. Methods: Using public transcriptomics data of LGGs (The Cancer Genome Atlas and GSE107850), differentially expressed genes (DEGs) and differentially co-expressed (DCE) gene pairs between IDH mutation statuses were determined. Gene set enrichment analysis identified the molecular mechanisms of isocitrate dehydrogenase (IDH) mutation in LGGs. Furthermore, the identified DEGs and DCE gene pairs were used for drug repurposing analysis. Results: Two public datasets revealed an overlap of 1527 DEGs. Whereas only seven gene pairs showed significant differential co-expression in both datasets, 1016 genes were simultaneously involved in differential co-expression. Gene set enrichment revealed that biological processes related to neuronal tissue formation were significantly associated with the DEGs. Using drug repurposing analysis, it was found that NVP-TAE684 and bisindolylmaleimide were possible chemical compounds for the LGG treatment. Conclusions: Using transcriptomics data, molecular mechanisms associated with LGG prognosis were identified. This work provides clues for future research on LGG treatment. Full article

Background: Endometrial cancer (EC) is one of the most common gynecologic malignancies, with a rising incidence worldwide. The Cancer Genome Atlas (TCGA) classifies EC into four molecular subtypes, among which the high-copy number subtype is characterized by TP53 mutations and associated with poor prognosis. However, this subtype remains understudied. IL4I1, an immunoregulatory enzyme implicated in various cancers, has emerged as a potential biomarker for tumor progression. This study aimed to explore IL4I1 as a prognostic marker in P53-mutant EC and to identify its potential as a therapeutic target. Methods: We retrospectively analyzed clinical data from 495 EC patients and selected 33 P53-mutant cases using Sanger sequencing and immunohistochemistry. Tumor tissues were collected via laser capture microdissection, stratified by five-year survival outcomes. IL4I1 expression was assessed through 4D label-free proteomics, immunohistochemistry, and Western blotting. TCGA data were used to validate expression patterns and prognostic significance. Functional analyses were performed using IL4I1-knockout P53-mutant EC cell lines generated via CRISPR/Cas9, followed by phenotypic assays and xenograft models. Results: IL4I1 was significantly upregulated in deceased patients and correlated with immune microenvironment alterations in TCGA data. Knockout of IL4I1 inhibited proliferation, migration, and invasion in vitro and tumor growth in vivo. Conclusions: IL4I1 is a key player in the aggressiveness of P53-mutant EC. It holds promise as a prognostic biomarker and may serve as a novel target for precision therapies in this high-risk EC subtype. Full article

Transfer RNA-derived small RNAs (tDRs) are increasingly being recognized as versatile regulators, yet their physiological landscape remains poorly charted. We analyzed tDR expression in seven adult mouse tissues to explore tissue-specific tDR enrichment using a tDR-optimized library preparation methodology. We catalogued 26,901 unique nuclear tDRs (ntDRs) and 5114 mitochondrial tDRs (mtDRs). Clustering analysis segregated the tissues, with the spleen and lungs forming a distinct immune cluster. Tissue-versus-all and pairwise differential analysis showed the spleen harboring unique ntDRs and mtDRs. Tissue-enriched tDRs arose from specific isoacceptor and isodecoder tRNAs, independent of mature tRNA abundance, suggesting selective biogenesis rather than bulk turnover. G-quadruplex prediction revealed a pronounced enrichment of potentially quadruplex-forming ntDRs in the kidneys, heart, and spleen, predominantly derived from i-tRFs and tRF3 fragments, suggesting structure-dependent functions in immune regulation. We also benchmarked our library strategy against the PANDORA-seq method. Despite comparable or lower sequencing depth, our method detected ~3–10-fold more unique ntDRs and we observed a clearer representation of tRF-3 fragments and greater isotype diversity. Our tissue atlas and improved tDR sequencing method reveal extensive tissue-specific heterogeneity in tDR biogenesis, sequencing, and structure, providing a framework for understanding the context-dependent regulatory roles of tDRs. Full article

Background: Micropeptides, encoded by non-coding RNAs, play a pivotal role in various cellular functions. While several micropeptides have already been linked to HCC, their roles remain incompletely understood. Our study identifies MP60, a conserved micropeptide strongly associated with HCC progression. Methods and Results: By analyzing The Cancer Genome Atlas (TCGA) dataset, we assessed the coding potential of long non-coding RNAs (lncRNAs) with significant expression changes in HCC. Our findings reveal that ENST0000614292, a transcript of LINC01138, exhibited the highest coding potential, encoding a putative 60-amino-acid micropeptide, which we have named MP60 and confirmed the expression of MP60 in HCC tissues, with a nuclear localization. MP60 directly interacts with RNA-binding motif protein 10 (RBM10) and downregulates its expression. Additionally, MP60 modulates EMT. Functional analyses demonstrated that MP60 promotes cellular proliferation and migration, while reducing cellular adhesion, translated by enhanced tumorigenesis in vivo. Notably, MP60 expression is markedly increased in HCC tissues and is associated with a poorer prognosis. Conclusions: These findings identify MP60 as a potential biomarker and therapeutic target in HCC, linking its oncogenic effects to EMT modulation and tumor progression. Full article

Proteasome subunit beta type-9 (PSMB9), a member of the proteasome beta subunit family, encodes the pivotal β1i component of the immunoproteasome. PSMB9 plays a crucial role in antigen processing and presentation; however, its comprehensive role in orchestrating a tumor-immune landscape and regulating the anti-tumor immune responses remains unexplored. Here we investigated the context-dependent functions of PSMB9 by integrating multi-omics data from The Cancer Genome Atlas, Genotype-Tissue Expression database, Human Protein Atlas, Tumor Immunotherapy Gene Expression Resource, and multiple other databases. Moreover, we explored the predictive value of PSMB9 in multiple immunotherapy cohorts and investigated its functional relevance in CAR-T therapy using genome-scale CRISPR/Cas9 screening, gene knockout cell line in vitro, and clinical cohort validation. We found widespread dysregulation in PSMB9 across cancers, predominantly upregulated in most malignancies and associated with advanced pathological stages in specific contexts. PSMB9 was also broadly and negatively correlated with tumor stemness indices. Crucially, PSMB9 expression was robustly linked to anti-tumor immunity by being significantly correlated with immune-pathway activation (e.g., IFN response, cytokine signaling), immune regulatory and immune checkpoint gene expression, and enhanced infiltration of T cells across nearly all tumor types. Consequently, elevated PSMB9 predicted superior response to immune checkpoint inhibitors in multiple cohorts, showing comparable predictive power to established predictive signatures. Furthermore, CRISPR/Cas9 screening identified PSMB9 loss as a novel mechanism of resistance to CD19 CAR T cell therapy, with PSMB9-deficient tumor cells exhibiting a survival advantage under CAR-T pressure, supported by trends in clinical CAR-T outcomes. Our study uncovers PSMB9 as a previously unrecognized critical regulator of the tumor immune landscape in a pan-cancer scope, whose expression orchestrates key immune processes within the tumor microenvironment and serves as a potent biomarker for patient prognosis. Critically, we first established PSMB9 as a novel prognostic indicator for both checkpoint blockade and CAR-T cell therapies, highlighting its dual role as a crucial immune modulator and a promising biomarker for guiding T cell-based immunotherapy strategies across diverse human cancers. Full article

Background: Oral cancer remains a significant global health concern due to its high incidence and mortality, as highlighted by GLOBOCAN 2022, and is characterized by poor survival rates despite available therapies. Therefore, there is an imperative need for developing novel therapeutic targets for this disease. Methods: This study investigates the oncogenic role of mortalin in oral cancer. We have used The Cancer Genome Atlas (TCGA) dataset, samples from North Eastern Region of India and tissue microarray to examine the expression of this gene/protein in patient samples. siRNA related knock down studies were carried out to determine the role of mortalin on oral cancer cell proliferation, survival, metastases, EMT, autophagy etc. Results: Analysis of TCGA dataset revealed increased mortalin expression in head and neck squamous cell carcinoma (HNSCC), which correlated with tumor grade and stage, and was associated with diminished overall survival. These findings were validated in oral cancer patient tissue samples obtained from the North East Region of India and oral cancer cell lines. Functional assays showed that mortalin knockdown via siRNA reduced cancer cell proliferation, migration, invasion, and angiogenesis while inducing apoptosis, disrupting mitochondrial membrane potential, and modulating autophagy. These effects were linked to altered expression of regulatory molecules, including p53, p21WAF1, cyclins, caspases, MMPs, Survivin, and components of the Akt/mTOR pathway, thereby alleviating key hallmarks of oral cancer. Conclusion: Collectively, these data support mortalin as a potential therapeutic target for oral cancer and warrant further studies for the development of mortalin-targeting drugs in both laboratory and clinical settings. Full article

Hepatocellular carcinoma (HCC) is a malignancy that is notorious for its dismal prognosis. Dysregulation of the tumor microenvironment (TME) in HCC has emerged as a key hallmark in determining disease progression and the response to immunotherapy. The aim of this study was to identify novel TME regulators that contribute to therapeutic resistance, thus providing mechanistic insights for targeted interventions. The expression of SMIM25 was evaluated in the the Cancer Genome Atlas-Liver Hepatocellular Carcinoma(TCGA-LIHC) and Guangxi HCC cohorts, and its clinicopathological significance was assessed. RNA sequencing and bioinformatics analyses were performed to elucidate the potential impact of elevated SMIM25 levels. Immunohistochemistry (IHC) and single-cell mass cytometry (CyTOF) were employed to examine the cellular composition of the tumor microenvironment. The biological effects of SMIM25 on cell proliferation and migration were studied in vitro using 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium Bromide(MTT) and wound healing assays, while its impact on tumor growth was evaluated in vivo in a nude mouse model. Transcriptomic and single-cell proteomic analyses were integrated to explore the mechanism by which SMIM25 affects the progression of HCC. The expression of SMIM25 was significantly up-regulated in both HCC tissues and cell lines (p < 0.05). RNA sequencing analyses revealed a significant positive correlation between SMIM25 expression and immunosuppression, and between SMIM25 expression and extracellular matrix(ECM)-related molecular features. Single-cell mass cytometry revealed two immunosuppressive cell clusters that were enriched in HCC patients with high SMIM25 expression. Moreover, SMIM25 was associated with immune exclusion and ECM remodeling signals in the TME of HCC. SMIM25 overexpression was associated with the expression of the tumor inflammatory marker cyclooxygenase-2(COX-2), and a COX-2 inhibitor could partially reverse the biological phenotype associated with SMIM25 expression in HCC cells (p < 0.05). Further transcriptome analysis in immunotherapy cohorts suggested the SMIM25-COX-2 axis might have predictive value for the response to immunotherapy. Our results suggest that SMIM25 may serve as a biomarker for the prognosis of HCC patients and may also be a predictive biomarker for the response to immunotherapy, enabling more precise and personalized HCC treatment. Full article

Background/Objectives: Human endogenous retroviruses (ERVs) are genomic sequences integrated into the human genome from ancestral exogenous retroviruses and are epigenetically silenced under normal conditions. Growing evidence has shown that they can be reactivated in human diseases such as cancers and autoimmune diseases. However, their clinical implications in colon cancer are yet to be explored. Methods: RNA-seq data were downloaded from RNA Atlas and TCGA for cell lines and tissue samples, respectively. After alignment, ERV expression was quantified against comprehensively compiled ERVs (3220). ERV expression profiles were compared between sequencing protocols, cancer and normal cells, and matched tumor and normal tissue pairs. Unsupervised clustering was used to identify ERV-defined tumor subtypes and their associations with clinical and other molecular features. ERV association with disease-specific survival (DSS) was performed using the Cox regression model. Results: PolyA and total RNA protocols were comparable in ERV expression detection. Cancer cells had significantly increased ERV expression and reactivation. Upregulated ERVs were significantly enriched in viral protein interactions with cytokine and cytokine receptors. ERV expression-defined tumor classes were significantly associated with tumor mutation burden and immuno-phenotypes such as antigen processing and presenting machinery and tumor immune infiltration score. Survival analysis identified 152 ERVs to be independently associated with DSS. Conclusions: ERV abnormal expression is common in colon cancer. The ERV-defined subtypes are associated with tumor immunity, and some ERVs are independently associated with patient outcomes. Full article

Background: The Dirigent (DIR) gene family is pivotal for lignin polymerization and stress adaptation in plants, yet its systematic characterization in Sorghum bicolor (S. bicolor), a critical bioenergy crop, remains underexplored. Methods: Leveraging the S. bicolor genome database, we conducted a genome-wide identification, phylogenetic classification, and expression profiling of the DIR gene family. Evolutionary dynamics, gene structure variations, promoter cis-regulatory elements, and spatiotemporal transcriptome patterns were analyzed using bioinformatics and experimental validation (RT-qPCR). Results: A total of 53 SbDIR genes were systematically identified, exhibiting uneven chromosomal distribution. Phylogenetic analysis clustered them into five clades (DIR-a, DIR-b/d, DIR-c, DIR-e, DIR-f), with subfamily-specific exon number variations suggesting functional divergence. Evolutionary studies revealed tandem duplication (TD) as the primary driver of family expansion, accompanied by strong purifying selection. Promoter analysis highlighted abundant hormone- and stress-responsive cis-elements. Tissue-specific RNA-seq data revealed root-enriched expression of SbDIR2/4/18/39/44/53, implicating their roles in root development. Notably, SbDIR39 and SbDIR53 were significantly upregulated (2.8- and 5-fold, respectively) under 150 mM NaCl stress, underscoring their stress-responsive functions. Conclusions: This study provides the first comprehensive atlas of the DIR gene family in S. bicolor, elucidating its evolutionary mechanisms and tissue-specific/stress-induced expression profiles. Key candidates (SbDIR39/53) were identified as promising targets for molecular breeding or CRISPR-based editing to enhance stress resilience in S. bicolor. These findings lay a foundation for translating genomic insights into agronomic improvements. Full article

Accurate segmentation of kidney microstructures in whole slide images (WSIs) is essential for the diagnosis and monitoring of renal diseases. In this study, an end-to-end instance segmentation pipeline was developed for the detection of glomeruli and blood vessels in hematoxylin and eosin (H&E) stained kidney tissue. A tiling-based strategy was employed using Slicing Aided Hyper Inference (SAHI) to manage the resolution and scale of WSIs and the performance of two segmentation models, YOLOv11 and YOLOv12, was comparatively evaluated. The influence of tile overlap ratios on segmentation quality and inference efficiency was assessed, with configurations identified that balance object continuity and computational cost. To address object fragmentation at tile boundaries, an Enhanced Syncretic Mask Merging algorithm was introduced, incorporating morphological and spatial constraints. The algorithm’s hyperparameters were optimized using Particle Swarm Optimization (PSO), with vessel and glomerulus-specific performance targets. The optimization process revealed key parameters affecting segmentation quality, particularly for vessel structures with fine, elongated morphology. When compared with a baseline without postprocessing, improvements in segmentation precision were observed, notably a 48% average increase for glomeruli and up to 17% for blood vessels. The proposed framework demonstrates a balance between accuracy and efficiency, supporting scalable histopathology analysis and contributing to the Vasculature Common Coordinate Framework (VCCF) and Human Reference Atlas (HRA). Full article