Journal of Molecular Pathology

Background: This review examines the expanding influence of artificial intelligence (AI) in the detection and management of uveal melanoma (UM). Methods: This work delves into the application of AI technologies such as machine learning (ML), deep learning (DL), and convolutional neural networks (CNNs) in various diagnostic procedures, molecular profiling, and predictive analysis. Results: The discussion underscores AI’s potential to enhance diagnostic precision and efficiency. Particular focus is placed on its role in histopathological assessments of UM, where algorithms facilitate the analysis of whole-slide images (WSIs). AI contributes to more accurate tumor classification, assists in planning treatments, and improves the prediction of the prognostic indicators and molecular characteristics of the tumor. Conclusions: Despite these promising developments, this review acknowledges existing hurdles to AI implementation, including issues with data standardization and the interpretability of AI models. It emphasizes the need for further research to fully integrate AI into clinical workflows, ultimately aiming to improve patient care and outcomes. Full article

Medical diagnostics is an important step in the identification and detection of any disease. Generally, diagnosis requires expert supervision, but in recent times, the evolving emergence of machine intelligence and its widespread applications has necessitated the integration of machine intelligence with pathological expert supervision. This research aims to mitigate the diagnostics of urinary tract infections (UTIs) by visual recognition of Colony-Forming Units (CFUs) in urine culture. Recognizing the patterns specific to positive, negative, or uncertain UTI suspicion has been complemented with several neural networks inheriting the Multi-Layered Perceptron (MLP) architecture, like Vision Transformer, Class-Attention in Vision Transformers, etc., to name a few. In contrast to the fixed model edge weights of MLPs, the novel Kolmogorov–Arnold Network (KAN) architecture considers a set of trainable activation functions on the edges, therefore enabling better extraction of features. Inheriting the novel KAN architecture, this research proposes a set of three deep learning models, namely, K²AN, KAN-C-Norm, and KAN-C-MLP. These models, experimented on an open-source pathological dataset, outperforms the state-of-the-art deep learning models (particularly those inheriting the MLP architecture) by nearly $7.8361\%$. By rapid UTI detection, the proposed methodology reduces diagnostic delays, minimizes human error, and streamlines laboratory workflows. Further, preliminary results can complement (expert-supervised) molecular testing by enabling them to focus only on clinically important cases, reducing stress on traditional approaches. Full article

Introduction: MET Exon 14 skipping alterations are drivers of non-small cell lung carcinoma (NSCLC) with responses to tyrosine kinase inhibitors. Amplicon-based DNA NGS assays (DNA NGSs) for the detection of METex14 skipping can yield false-negative results. We examined the efficacy of METex14 skipping with a DNA NGS and reflex RNA-based NGS (RNA NGS) strategy. Materials and Methods: Clinical cases with definitive or suspected lung adenocarcinoma (LungCa), lacking driver mutations with targeted DNA NGS, underwent the RNA NGS to identify oncogenic drivers. Samples with METex14 skipping identified on reflex RNA NGSs were confirmed with Sanger sequencing. Results:METex14 skipping events were detected in 22/762 (2.9%) samples by DNA NGS. RNA NGS identified 10 additional samples, for an overall frequency of 32/762 (4.1%). All 22 METex14 DNA variants affected the donor splice site. Sanger sequencing revealed that missed METex14 variants were largely deletions spanning the ~30 bp intronic region upstream of the splice acceptor site. The failure of DNA NGS to detect all METex14 mutants was due to a lack of coverage of the 3′ splice acceptor site of intron 13, branch point, and polypyrimidine tract. Conclusions: Modification of amplicon-based DNA hotspot assays, with primers that cover both donor and acceptor splice sites, can identify a larger number of METex14 skipping events. Clinical data show that patients with advanced NSCLC and METex14 variants responded to targeted therapy. Full article

Background/Objective: Immunomodulators play a critical role in regulating immune responses, with immunostimulatory agents enhancing cancer therapy by activating immune cells such as T cells. While immune checkpoint inhibitors (ICIs) targeting PD-1 and CTLA-4 have shown clinical success, the availability of small-molecule immunomodulators remains limited. This study aimed to identify novel small-molecule immunomodulators using the One-Bead-Two-Compound (OB2C) library approach for potential cancer immunotherapy. Methods: A OB2C library consisting of 1,764 compounds was screened to identify small-molecule immunomodulators capable of enhancing immune responses. The bead library was incubated with Jurkat cells, which express high levels of α4β1 integrin, each and every compound-bead was uniformly covered with cells. IFN-γ production was measured as a marker of immune activation. The most potent compound was further evaluated for its effects on PBMC activation and cytolytic activity against prostate cancer cells. Tumor cell viability assays were performed to evaluate its effect on immune-mediated tumor suppression. Results: Two immunomodulators, Kib-IM-1 and Kib-IM-4, were identified from a 1764-compound OB2C library. However, only Kib-IM-4 was confirmed to induce PBMC clustering and significantly enhance IFN-γ production. In addition, Kib-IM-4 promoted immune cell activation and enhanced the cytolytic activity of PBMCs against prostate cancer cells, leading to a reduction in tumor cell viability. Conclusions: These findings highlighted Kib-IM-4’s potential as a novel small-molecule immunomodulator for cancer immunotherapy. By enhancing immune cell activation and promoting tumor cell cytolysis, Kib-IM-4 represents a promising candidate for further development in cancer treatment. Full article

The occurrence of cervical cancer is often linked to a previous infection with a human papillomavirus (HPV). In order to detect HPV infections in cervical smears, a broad range of tests can be used. This study compares the two hybridisation-based DNA-microarray systems “HPV 3.5 LCD-Array” (Chipron GmbH) and “PapilloCheck^®” (Greiner Bio-One GmbH), based on their ability to detect and differentiate HPV infections in 42 different cervical smears. PapilloCheck^® can detect and individually identify 24 HPV types, whereas the 3.5 LCD-Array can differentiate among 32 HPV genotypes. However, both systems include all 13 high-risk (HR)-classified types. With Chipron having already stopped the production of the 3.5 LCD-Array test, quite a few laboratories are confronted with the need to establish a new HPV testing method. The two methods were found to have a high agreement regarding the clinical significance of the detected HR HPV types. Discrepant cases were additionally validated with the help of a third test (VisionArray^® HPV, ZytoVision GmbH). The results of the VisionArray^® test corresponded rather well with the results of the 3.5 LCD-Array. Full article

Background: T cell clonality is commonly assessed in the diagnostic work-up of mature T cell lymphoid neoplasms. Although fragment-length polymerase chain reaction (FL-PCR) assays are most widely used, next-generation sequencing (NGS) of the TRG and TRB genes is increasingly being used to assess T cell clonality. Objective: The present work is a scoping review of studies that assessed T cell clonality by NGS for diagnostic purposes, including only studies that provided integrated clinicopathologic diagnoses in comparing FL-PCR and NGS assays to evaluate if it is preferable to use NGS-based assays for T cell clonality evaluation in diagnostic pathology. Methods: Papers published from 1992 to 3 August 2024 were searched in PubMed. Twenty-nine cohort studies and five instructive case reports, published from 2013–2024 from the USA, UK, Europe, and Australia that provided integrated clinicopathologic diagnoses and used NGS to evaluate T cell clonality in clinical specimens from patients with mature T cell neoplasms and related non-neoplastic and neoplastic diseases were included, with additional relevant studies. Results: Ten (34.4%) of the 29 cohorts included clinical samples from patients having various cutaneous and non-cutaneous T cell malignancies, related neoplasms, and reactive conditions; 2 (6.8%) studies focused on T cell prolymphocytic leukemia, 16 (55%) on cutaneous T cell lymphoma, and one on pediatric pityriasis lichenoides. Eleven (38%) of the 29 cohort studies compared NGS with FL-PCR assays in 908 clinical samples. Eight (72.7%) of the 11 studies compared TRG FL-PCR with TRG NGS (n = 5), TRB NGS (n = 2), and TRG NGS and TRB NGS (n = 1); the remaining three compared EuroClonality/BIOMED-2 FL-PCR (TRG and TRB) with TRG NGS (n = 1), TRB NGS (n = 1), and the EuroClonality-NGS DNA capture assay (n = 1). TRB NGS was used in 16 (55%) of 29, TRG NGS in 6 (20.6%) of 29, and both TRG and TRB NGS in 7 (24%) of 29. Two (6.8%) of the 29 studies compared TRB NGS with flow cytometric immunophenotyping assays for Vβ and T cell receptor β constant region 1. One additional study compared long-read sequencing with NGS for TRG and TRB rearrangements. Conclusions: NGS is highly specific and sensitive for assessing T cell clonality. NGS precisely tracks unique rearranged sequences, which FL-PCR cannot. NGS findings for clonality must be interpreted in the context of all clinicopathologic and immunophenotypic findings, like FL-PCR. With such interpretations, NGS is much preferable to FL-PCR for evaluating T cell clonality for diagnostic purposes. It is necessary to reduce costs, increase accessibility, and educate providers about NGS for clonality evaluation. TRB NGS has been primarily assessed in the peripheral blood and skin, whereas TRG NGS has also been evaluated in formalin-fixed and non-cutaneous fresh lymphoid tissues. TRG NGS performed better than TRB NGS in comparative studies. Full article

Background/Objectives: The highly polymorphic Major Histocompatibility Complex (MHC) genomic region, located on the short arm of chromosome 6, is implicated genetically in Parkinson’s disease (PD), a progressive neurodegenerative disorder with motor and non-motor symptoms. Previously, we reported significant associations between SINE-VNTR-Alu (SVA) expression quantitative trait loci (eQTLs) and Human Leucocyte Antigen (HLA) class I genotypes in PD. In this study, we aimed to evaluate SVA associations and their regulatory effects on transposable element (TE) transcription in the MHC class I region. Methods: Transcriptome data from the peripheral blood cells of 1530 individuals in the Parkinson’s Progression Markers Initiative (PPMI) cohort were reanalyzed for TE and gene expression using publicly available bioinformatics tools, including Salmon and Matrix-eQTL. Results: Four structurally polymorphic SVAs regulated the transcription of 18 distinct clusters of 235 TE loci, comprising LINEs (33%), SINEs (19%), LTRs (35%), and ancient transposon DNA elements (12%) located near HLA genes. The transcribed TEs were predominantly short, with an average length of 445 nucleotides. The regulatory effects of these SVAs varied significantly in terms of TE types, numbers, and transcriptional activation or repression. The SVA-regulated TE RNAs in blood cells appear to function as enhancer-like elements, differentially influencing the expression of HLA class I genes, non-HLA genes, and noncoding RNAs. Conclusions: These findings highlight the roles of SVAs and their associated TEs in the complex regulatory networks governing coding and noncoding gene expression in the MHC class I region, with potential implications for immune function and disease susceptibility. Full article

Calcium ions (Ca²⁺) are vital intracellular messengers that regulate a multitude of neuronal functions, including synaptic transmission, plasticity, exocytosis, and cell survival. Neuronal cell death can occur through a variety of mechanisms, including excitotoxicity, apoptosis, and autophagy. In the context of excitotoxicity, the excessive release of glutamate in the synapses can trigger the activation of postsynaptic receptors. Upon activation, Ca²⁺ influx into the cell from the extracellular space via their associated ion channels, most notably L-type Ca²⁺ channels. Previous studies have indicated that α-synuclein (α-syn), a typical cytosolic protein, plays a significant role in the pathogenesis of Parkinson’s disease (PD). It is also worth noting that the aggregated form of α-syn has the capacity to affect Ca²⁺ homeostasis by altering the function of Ca²⁺ regulation. The upregulation of leucine-rich repeat kinase 2 (LRRK2) is closely associated with PD pathogenesis. LRRK2 mutants exhibit a dysregulation of calcium signaling, resulting in dopaminergic neuronal degeneration. It could therefore be proposed that α-syn and LRRK2 play important roles in the mechanisms underlying Ca²⁺ dyshomeostasis and excitotoxicity in PD. Full article

Introduction: Colorectal cancer screening programs are effective in reducing incidence and mortality. In Europe, every FIT+ patient is referred to colonoscopy. The available data show that ~75.0% of these patients are negative. It is desirable to select patients at a greater risk of having a positive colonoscopy. Materials and Methods: 711 subjects, aged 50–74, attending the screening program of ASL-NA-3-SUD (Naples, Italy), were enrolled in a cross-sectional study to evaluate the performance of the QuantiDNA™ test and the non-inferiority of an alternative approach (AAP). This evaluation is based on FIT+ and QuantiDNA™+ patients referred to colonoscopy, compared to Standard of Care (SOC) colonoscopy following a FIT+ test alone. A non-inferiority margin (NIM) for colorectal neoplasia (CN) and advanced adenomas (AA) was set at −10% and at −3.8% for CRC. Results: The odds ratio was 1.76 (p-value = 0.009). The detection rate of AAP was 15.9% for colorectal neoplasia, 13.0% for advanced adenoma, and 3.0% for CRC. The risk difference between AAP and SOC was −5.07% (95% C.I. −9.23, −0.90) for colorectal neoplasia, −4.02% (95% C.I. −7.89, −0.16) for advanced adenomas, and −1.04% (95% C.I. −3.16, 1.07) for CRC. This data suggests that AAP is non-inferior to SOC for detecting CN, AA, and CRC. The expected decrease in colonoscopies is 33.4%. Conclusions: The QuantiDNA™ test is straightforward, non-invasive, and well-tolerated. Data from this study indicate that it is effective in the reduction of the need for colonoscopy examinations (−33.4%) and is non-inferior to SOC in the detection of significant colorectal lesions. Full article

Glioblastoma is a highly aggressive malignancy affecting the brain and central nervous system. It is the most common malignant primary brain tumor, yet its prognosis remains poor. Median survival typically ranges from around 13 months with standard treatment to up to 19.9 months in some recent clinical trials. Despite advances in treatment, the aggressive nature of glioblastoma continues to present significant challenges for improving patient outcomes. This study aimed to analyze various biological, radiological, and molecular factors associated with glioblastoma recurrence and to estimate survival outcomes. A total of 104 glioblastoma patients diagnosed between January 2017 and September 2022 were included. Patient demographics, treatment received, and molecular characteristics were obtained from the Electronic Patient Record (EPR). Tumor molecular characteristics were analyzed using the OnkoSight Advanced CNS NGS panel. Statistical analyses were performed to develop a prognostic model for glioblastoma recurrence and estimate survival rates. Among the patients, 65.4% had no recurrence, with a mean age of 63 years. No gender or BMI differences were observed, but ages <60 years were associated with recurrence. Radiological findings showed no significant differences in tumor size, necrosis, site, or focality. In multivariate analysis, the female gender, obesity, old age (>60 years), or bifocal tumors were associated with decreased glioblastoma recurrence. However, factors like tumor site, size, necrosis, MGMT promoter methylation, and EGFR alteration showed no significant association with recurrence. Median survival was 12 months, with older age significantly associated with shorter survival. Tumor sizes >4 cm showed shorter survival trends but not statistically significantly. Patients who lived longer experienced more tumor recurrence incidents. Standard or non-standard treatments were associated with longer median survival compared to no treatment. Our findings provide insights into factors influencing glioblastoma recurrence and survival. Age, gender, and tumor characteristics play pivotal roles in recurrence. Understanding these factors could aid in optimizing treatment strategies and improving patient outcomes. However, further multicentric investigations are needed to validate these findings. This study emphasizes the importance of considering biological and radiological factors in clinical decision-making for glioblastoma cases. Full article

Background/Objectives: Colorectal cancer (CRC) is the third leading cause of cancer death globally, with rising incidence. The immunohistochemistry (IHC) for mismatch repair (MMR) proteins is the first technique used in routine practice to evaluate an MMR status. Microsatellite instability (MSI) may be tested in case of doubt during IHC staining. This study introduces a novel high-resolution melt (HRM) protocol for MSI detection and compares it with traditional fragment length analysis (FLA) via capillary electrophoresis. Methods: A total of 100 formalin-fixed and paraffin-embedded CRC specimens were analyzed using two distinct protocols: one based on FLA (TrueMark MSI Assay kit) and another one based on HRM (AmoyDx^® Microsatellite Instability Detection Kit). Results: Overall, 68 (68.0%) of the cases were MSS, and 32 (32.0%) were MSI-H. HRM analysis was first successfully carried out in all the cases. A perfect concordance in MSI evaluation between HRM and FLA was observed. HRM showed slightly shorter hands-on time and turnaround time. Conclusions: We provided evidence of the validity of this new HRM approach in determining the MSI status of colorectal carcinomas. Full article

Periodontal disease remains a significant global health concern, characterized by complex host–pathogen interactions leading to tissue destruction. This review explored the role of pattern recognition receptors (PRRs) in the pathogenesis of periodontal disease, synthesizing current knowledge on their molecular mechanisms and potential as therapeutic targets. We examined the diverse family of PRRs, focusing on toll-like receptors (TLRs) and NOD-like receptors (NLRs), elucidating their activation by periodontal pathogens and subsequent downstream signaling cascades. This review highlights the intricate interplay between PRR-mediated pathways, including NF-κB and MAPK signaling, and their impact on inflammatory responses and bone metabolism in periodontal tissues. We discussed the emerging concept of PRR crosstalk and its implications for periodontal homeostasis and disease progression. Furthermore, this review addressed the potential of PRR-targeted therapies, exploring both challenges and opportunities in translating molecular insights into clinical applications. By providing an overview of PRRs in periodontal health and disease, this review aims to stimulate future research directions and inform the development of novel diagnostic and therapeutic strategies in periodontology. Full article

Birt–Hogg–Dubé syndrome (BHDS) is an autosomal dominant disease characterized by skin, lung, and renal manifestations. This syndrome is caused by a germline mutation in the FLCN gene, which leads to disruption in multiple downstream pathways. Renal cell carcinomas are one of the serious clinical manifestations of the disease, which usually presents as bilateral and multiple tumors. Morphologically, most of these tumors are classified as hybrid oncocytic tumors. Recent advances in molecular techniques have shed light on the pathogenesis of these renal tumors. In this review, we evaluate and summarize the current knowledge of BHDS, pathologic changes, and its molecular basis with the focus on the renal hybrid oncocytic tumor (HOT), their pathogenesis, and molecular underpinning. Full article

The rising global incidence of uterine cancer has been linked to the escalating prevalence of obesity. Obesity results in insulin resistance which alters the IGF system, thereby driving cancer progression via increased cell proliferation and the inhibition of apoptosis, although the precise mechanisms remain unclear. In a previous study, we compared the levels of IGF1 and IGF2 between fifty endometrial cancer patients (study group) and fifty age-matched non-cancer patients with benign gynaecological conditions (control group), identifying a correlation with menopause. Building on these data, we now report that IGF levels in pre-menopausal women were significantly lower in the study group compared to the control group, a pattern not observed in post-menopausal women. We undertook the receiver operating characteristic (ROC) curve analysis for calculating the potential of IGF1 and IGF2 to effectively distinguish pre-menopausal women with endometrial cancer from those without it. For pre-menopausal women, the area under ROC curve values were 0.966 for IGF1 and 0.955 for IGF2, both with significant p-values, indicating that IGF1 and IGF2 levels have the potential to be diagnostic biomarkers for distinguishing pre-menopausal women with endometrial cancer from those without it. In summary, our findings emphasise the importance of considering menopausal status in the context of IGF level assessments and suggest that IGF1 and IGF2 could play a crucial role in the early diagnosis of endometrial cancer in pre-menopausal women. Full article

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by symmetrical joint inflammation, cartilage degradation, and bone erosion. This review explores the multifaceted aspects of RA pathogenesis, focusing on the dynamic interplay between innate and adaptive immune responses, genetic predisposition, and environmental triggers. The development of RA involves genetic susceptibility and trigger events such as infections, trauma, smoking, obesity, and microbiome alterations, fostering autoimmune reactions and tissue/organ destruction. The innate immune response, including toll-like receptor activation and synovial fibroblasts’ roles, contributes to the acceleration of inflammatory processes in joint tissues. Monocytes and macrophages organize and sustain chronic joint inflammation, leading to tissue damage and bone resorption, while highlighting the significance of CD14 and CD16 subsets in RA pathogenesis. In the adaptive immune response, aberrant activation and proliferation of CD4+ T cells and the role of regulatory T cells in maintaining immune tolerance are discussed. Target cytokines like TNF-α, IL-6, IL-1, IL-17, and BAFF, as well as chemokines such as CCL2, CXCL10, CCL5, and CXCL12, have emerged as critical components in managing chronic inflammation and joint damage in RA. This comprehensive overview provides insights into the pathophysiology of RA and potential therapeutic avenues, emphasizing the importance of understanding these complex immunological and genetic mechanisms for developing more effective treatment strategies. Full article

The extracellular matrix is an organized three-dimensional network of protein-based molecules and other macromolecules that provide structural and biochemical support to tissues. Depending on its biochemical and structural properties, the extracellular matrix influences cell adhesion and signal transduction and, in general, can influence cell differentiation and proliferation through specific mechanisms of chemical and mechanical sensing. The development of body tissues during ontogenesis is accompanied by changes not only in cells but also in the composition and properties of the extracellular matrix. Similarly, tumor development in carcinogenesis is accompanied by a continuous change in the properties of the extracellular matrix of tumor cells, called ‘oncomatrix’, as the tumor matures, from the development of the primary focus to the stage of metastasis. In this paper, the characteristics of the composition and properties of the extracellular matrix of tumor tissues are considered, as well as changes to the composition and properties of the matrix during the evolution of the tumor and metastasis. The extracellular matrix patterns of tumor tissues can be used as biomarkers of oncological diseases as well as potential targets for promising anti-tumor therapies. Full article

Aggressive B-cell lymphoma encompasses Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL), and, as per the 2016 WHO classification, high-grade B-cell lymphoma (HGBL) not otherwise specified (NOS) and HGBL double/triple hit (DH/TH). However, the diagnostic distinction of HGBL from BL and DLBCL is difficult by means of histology/immunostaining in a substantial number of patients. This study aimed to improve subtyping by the identification of molecular features of aggressive B-cell lymphomas, with a specific focus on HGBL. To this end, we performed a comprehensive gene expression and mutational pattern analysis as well as the detection of B-cell clonality of 34 cases diagnosed with BL (n = 4), DLBCL (n = 16), HGBL DH (n = 8), and HGBL NOS (n = 6). Three distinct molecular subgroups were identified based on gene expression, primarily influenced by MYC expression/translocation and cell proliferation. In HGBL, compared to BL, there was an upregulation of PRKAR2B and TERT. HGBL DH exhibited elevated expression of GAMT and SMIM14, while HGBL NOS showed increased expression of MIR155HG and LZTS1. Our gene mutation analysis revealed MYC, ARID1A, BCL2, KMT2D, and PIM1 as the most affected genes in B-cell lymphoma, with BCL2 and CREBBP predominant in HGBL DH, and MYC and PIM1 in HGBL NOS. Clonality analysis of immunoglobulin heavy and light chain rearrangements did not show distinguishable V- or J-usage between the diagnostic subgroups. Full article

Primary endometrial serous carcinoma, known for its aggressive nature and poor prognosis, shares similarities with breast and gastric cancers in terms of potential HER2 overexpression as a therapeutic target. Assessing HER expression is complicated by tumor heterogeneity and discrepancies between primary and metastatic sites. In this study, we retrospectively analyzed HER amplification and expression in 16 pairs of primary endometrial serous carcinoma resections and corresponding metastases. HER2 status was determined using immunohistochemistry (IHC), with criteria based on the percentage and intensity of tumor cell staining. Confirmatory techniques, such as dual in situ hybridization (DISH) and fluorescence in situ hybridization (FISH), were also employed. This study reports on the concordance rates and the presence and pattern of HER2 heterogeneity. Our results showed an 87.5% concordance rate in HER2 amplification status between primary and metastatic sites, with 33% of cases scored as 2+ being amplified. Heterogeneity was observed in 100% of amplified cases and 95% of non-amplified cases on in situ testing, with variations in heterogeneity patterns between techniques. In conclusion, our findings emphasize the importance of testing both primary and metastatic sites or recurrences, with a concordance rate of 87.5%. In addition, a review of the literature and combining the results showed a concordance rate of up to 68%. The presence and pattern of heterogeneity, particularly in cases of mosaic or clustered heterogeneity in the primary tumor, may serve as reliable indicators of concordance, predicting a non-amplified HER2 status in corresponding metastases. Full article

Cardiovascular diseases (CVDs) significantly exacerbate the severity and mortality of COVID-19. We aimed to investigate whether GWAS-significant SNPs correlate with CVDs in severe COVID-19 patients. DNA samples from 199 patients with severe COVID-19 hospitalized in intensive care units were genotyped using probe-based PCR for 10 GWAS SNPs previously implicated in severe COVID-19 outcomes. SNPs rs17713054 SLC6A20-LZTFL1 (risk allele A, OR = 2.14, 95% CI 1.06–4.36, p = 0.03), rs12610495 DPP9 (risk allele G, OR = 1.69, 95% CI 1.02–2.81, p = 0.04), and rs7949972 ELF5 (risk allele T, OR = 2.57, 95% CI 1.43–4.61, p = 0.0009) were associated with increased risk of coronary artery disease (CAD). SNPs rs7949972 ELF5 (OR = 2.67, 95% CI 1.38–5.19, p = 0.003) and rs61882275 ELF5 (risk allele A, OR = 1.98, 95% CI 1.14–3.45, p = 0.01) were linked to a higher risk of cerebral stroke (CS). No associations were observed with AH. Bioinformatics analysis revealed the involvement of GWAS-significant loci in atherosclerosis, inflammation, oxidative stress, angiogenesis, and apoptosis, which provides evidence of their role in the molecular mechanisms of CVDs. This study provides novel insights into the associations between GWAS-identified SNPs and the risk of CAD and CS. Full article