Next-generation sequencing uncovers crucial mutated genes and potential therapeutic targets in ovarian cancer patients.

IF 1.7 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
American journal of translational research Pub Date : 2024-10-15 eCollection Date: 2024-01-01 DOI:10.62347/XNGV7396
Tianjiao Zhao, Xinghe Dong, Tianshi Zhao, Zhenghua Han
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引用次数: 0

Abstract

Objectives: Ovarian cancer is a highly lethal gynecological malignancy, often diagnosed late, resulting in high mortality. While BRCA1 and BRCA2 mutations are known risk factors, the broader genetic landscape needs comprehensive profiling to identify additional diagnostic markers or therapeutic targets. The current study aims to explore the genetic landscape of various cancer-susceptible genes in ovarian cancer patients.

Methods: The genetic landscape of ovarian cancer was investigated by analyzing 27 genes via next-generation sequencing (NGS) in 50 ovarian cancer patients.

Results: Mutations were detected in four genes: Breast Cancer 1 (BRCA1) (62%), Cyclin-Dependent Kinase 4 (CDK4) (58%), MutS Homolog 2 (MSH2) (48%), and Phosphatase and Tensin Homolog (PTEN) (22%). Pathogenic mutations were identified in BRCA1 (p.Tyr1853Ter and p.Gln1848Ter), CDK4 (p.Arg24His), and PTEN (p.Tyr29Ter), occurring in 11 patients. Interestingly, these pathogenic mutations were absent in The Cancer Genome Atlas (TCGA) dataset and the gnomAD for the Asian population, suggesting their unique presence in the Pakistani cohort. Functional assays revealed that these mutations significantly reduced the mRNA and protein expression levels of BRCA1, CDK4, and PTEN, as demonstrated by Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR) and Immunohistochemistry (IHC) analyses. Receiver Operating Characteristic (ROC) curve analysis confirmed the potential of these genes as biomarkers, with downregulated expression accurately distinguishing between normal and cancerous tissues. Structural validation of mutated proteins using Ramachandran plots and Protein Structure Analysis (ProSA-web) analysis confirmed the stability of the mutations. Drug prediction and molecular docking identified Resveratrol as a potential therapeutic agent, indicating strong binding affinities with BRCA1, CDK4, and PTEN proteins.

Conclusion: These findings provide novel insights into the genetic underpinnings of ovarian cancer in the Pakistani population and suggest potential targets for therapeutic intervention.

新一代测序发现卵巢癌患者的关键突变基因和潜在治疗靶点。
目的:卵巢癌是一种致死率很高的妇科恶性肿瘤,通常诊断较晚,死亡率很高。虽然 BRCA1 和 BRCA2 基因突变是已知的风险因素,但还需要对更广泛的基因情况进行全面分析,以确定更多的诊断标记或治疗目标。本研究旨在探索卵巢癌患者中各种癌症易感基因的遗传情况:方法:通过对 50 名卵巢癌患者的 27 个基因进行新一代测序(NGS)分析,研究卵巢癌的遗传结构:结果:在四个基因中检测到了突变:结果:在四个基因中检测到了突变:乳腺癌 1 (BRCA1) (62%)、细胞周期蛋白依赖性激酶 4 (CDK4) (58%)、MutS 同源物 2 (MSH2) (48%) 和磷酸酶与天丝蛋白同源物 (PTEN) (22%)。在 11 名患者中发现了 BRCA1(p.Tyr1853Ter 和 p.Gln1848Ter)、CDK4(p.Arg24His)和 PTEN(p.Tyr29Ter)的致病突变。有趣的是,这些致病突变在《癌症基因组图谱》(TCGA)数据集和亚洲人群的gnomAD中都不存在,这表明它们独特地存在于巴基斯坦队列中。功能测定显示,这些突变显著降低了 BRCA1、CDK4 和 PTEN 的 mRNA 和蛋白表达水平,这一点已通过反转录定量聚合酶链反应(RT-qPCR)和免疫组织化学(IHC)分析得到证实。接收方操作特征曲线(ROC)分析证实了这些基因作为生物标记物的潜力,其表达下调可准确区分正常组织和癌组织。利用拉马钱德兰图和蛋白质结构分析(ProSA-web)对突变蛋白质进行结构验证,证实了突变的稳定性。药物预测和分子对接确定了白藜芦醇是一种潜在的治疗药物,表明它与 BRCA1、CDK4 和 PTEN 蛋白具有很强的结合亲和力:这些发现为了解巴基斯坦人卵巢癌的遗传基础提供了新的视角,并提出了潜在的治疗干预目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
American journal of translational research
American journal of translational research ONCOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
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552
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