Weizhuo Wang, Kaiyu Lu, Xi Zhang, Kai Wei, Gang Cheng, Zheng Tang, Mingwei Zhan, Caibin Fan, Xu Fu
{"title":"单细胞分析结合孟德尔随机化鉴定与前列腺癌细胞相关的基因。","authors":"Weizhuo Wang, Kaiyu Lu, Xi Zhang, Kai Wei, Gang Cheng, Zheng Tang, Mingwei Zhan, Caibin Fan, Xu Fu","doi":"10.5534/wjmh.240298","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Prostate cancer is the second most common male cancer, with incidence increasing with age. When prostate cancer extends beyond the prostatic capsule, treatment options and prognosis change significantly. This study aims to investigate prognostic genes related to capsular invasion in prostate cancer by integrating single-cell data with Mendelian randomization (MR) analysis.</p><p><strong>Materials and methods: </strong>Single-cell sequencing data from six prostate cancer cases were obtained from the Gene Expression Omnibus (GEO) database. Cell clustering and annotation were performed using R, and high-dimensional weighted gene co-expression network analysis (hdWGCNA) identified differentially expressed genes in advanced-stage cancer. Single nucleotide polymorphism loci corresponding to these genes were retrieved from the UK Biobank (UKB), and MR exposure data were acquired from the ukb-b-13348 dataset. MR analysis assessed the impact of hdWGCNA-identified genes. Clinical and gene expression data from TCGA and GEO were analyzed using univariate Cox regression to evaluate gene effects on prognosis. Cellular functional experiments and immunohistochemistry assessed gene expression and function in prostate cancer.</p><p><strong>Results: </strong>We employed the Seurat package for quality control and integration of single-cell data from four patients. hdWGCNA identified three modules, from which 200 genes were selected. The combined analysis of eQTL and MR revealed that <i>TMEM59</i>, <i>JUNB</i>, <i>NECTIN2</i>, <i>OSBPL10</i>, <i>ATF3</i>, and <i>WLS</i> may have relevant associations with prostate cancer. Further investigation using TCGA and GEO data suggested that <i>TMEM59</i> might act as a protective factor in prostate cancer. Cellular experiments confirmed that <i>TMEM59</i> knockdown enhanced the proliferation and invasion capabilities of prostate cancer cells. Immunohistochemistry demonstrated a significant decrease in <i>TMEM59</i> expression in both normal and tumor tissues, particularly in the tumor group.</p><p><strong>Conclusions: </strong>These findings suggest that <i>TMEM59</i> may play a crucial role in the progression of prostate cancer and could serve as a prognostic predictor and therapeutic target for the disease.</p>","PeriodicalId":54261,"journal":{"name":"World Journal of Mens Health","volume":" ","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Single-Cell Analysis Combined with Mendelian Randomization Identifies Genes Associated with Prostate Cancer Cells.\",\"authors\":\"Weizhuo Wang, Kaiyu Lu, Xi Zhang, Kai Wei, Gang Cheng, Zheng Tang, Mingwei Zhan, Caibin Fan, Xu Fu\",\"doi\":\"10.5534/wjmh.240298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Prostate cancer is the second most common male cancer, with incidence increasing with age. When prostate cancer extends beyond the prostatic capsule, treatment options and prognosis change significantly. This study aims to investigate prognostic genes related to capsular invasion in prostate cancer by integrating single-cell data with Mendelian randomization (MR) analysis.</p><p><strong>Materials and methods: </strong>Single-cell sequencing data from six prostate cancer cases were obtained from the Gene Expression Omnibus (GEO) database. Cell clustering and annotation were performed using R, and high-dimensional weighted gene co-expression network analysis (hdWGCNA) identified differentially expressed genes in advanced-stage cancer. Single nucleotide polymorphism loci corresponding to these genes were retrieved from the UK Biobank (UKB), and MR exposure data were acquired from the ukb-b-13348 dataset. MR analysis assessed the impact of hdWGCNA-identified genes. Clinical and gene expression data from TCGA and GEO were analyzed using univariate Cox regression to evaluate gene effects on prognosis. Cellular functional experiments and immunohistochemistry assessed gene expression and function in prostate cancer.</p><p><strong>Results: </strong>We employed the Seurat package for quality control and integration of single-cell data from four patients. hdWGCNA identified three modules, from which 200 genes were selected. The combined analysis of eQTL and MR revealed that <i>TMEM59</i>, <i>JUNB</i>, <i>NECTIN2</i>, <i>OSBPL10</i>, <i>ATF3</i>, and <i>WLS</i> may have relevant associations with prostate cancer. Further investigation using TCGA and GEO data suggested that <i>TMEM59</i> might act as a protective factor in prostate cancer. Cellular experiments confirmed that <i>TMEM59</i> knockdown enhanced the proliferation and invasion capabilities of prostate cancer cells. Immunohistochemistry demonstrated a significant decrease in <i>TMEM59</i> expression in both normal and tumor tissues, particularly in the tumor group.</p><p><strong>Conclusions: </strong>These findings suggest that <i>TMEM59</i> may play a crucial role in the progression of prostate cancer and could serve as a prognostic predictor and therapeutic target for the disease.</p>\",\"PeriodicalId\":54261,\"journal\":{\"name\":\"World Journal of Mens Health\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World Journal of Mens Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5534/wjmh.240298\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANDROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Journal of Mens Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5534/wjmh.240298","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANDROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的:前列腺癌是第二常见的男性癌症,发病率随着年龄的增长而增加。当前列腺癌扩展到前列腺包膜以外时,治疗方案和预后发生显著变化。本研究旨在通过将单细胞数据与孟德尔随机化(MR)分析相结合,探讨与前列腺癌包膜侵袭相关的预后基因。材料和方法:从Gene Expression Omnibus (GEO)数据库中获取6例前列腺癌的单细胞测序数据。使用R进行细胞聚类和注释,高维加权基因共表达网络分析(hdWGCNA)鉴定晚期癌症中的差异表达基因。从UK Biobank (UKB)检索到与这些基因对应的单核苷酸多态性位点,并从UKB -b-13348数据集获取MR暴露数据。MR分析评估了hdwgcna鉴定基因的影响。采用单因素Cox回归分析TCGA和GEO的临床和基因表达数据,以评估基因对预后的影响。细胞功能实验和免疫组化评价前列腺癌的基因表达和功能。结果:我们使用Seurat包进行质量控制和整合来自4例患者的单细胞数据。hdWGCNA鉴定了三个模块,从中选择了200个基因。eQTL和MR联合分析显示,TMEM59、JUNB、NECTIN2、OSBPL10、ATF3和WLS可能与前列腺癌相关。TCGA和GEO数据的进一步研究表明,TMEM59可能是前列腺癌的保护因子。细胞实验证实,敲低TMEM59增强了前列腺癌细胞的增殖和侵袭能力。免疫组化结果显示,TMEM59在正常组织和肿瘤组织中的表达均显著降低,尤其是在肿瘤组中。结论:这些发现提示TMEM59可能在前列腺癌的进展中起着至关重要的作用,可以作为前列腺癌的预后预测因子和治疗靶点。
Single-Cell Analysis Combined with Mendelian Randomization Identifies Genes Associated with Prostate Cancer Cells.
Purpose: Prostate cancer is the second most common male cancer, with incidence increasing with age. When prostate cancer extends beyond the prostatic capsule, treatment options and prognosis change significantly. This study aims to investigate prognostic genes related to capsular invasion in prostate cancer by integrating single-cell data with Mendelian randomization (MR) analysis.
Materials and methods: Single-cell sequencing data from six prostate cancer cases were obtained from the Gene Expression Omnibus (GEO) database. Cell clustering and annotation were performed using R, and high-dimensional weighted gene co-expression network analysis (hdWGCNA) identified differentially expressed genes in advanced-stage cancer. Single nucleotide polymorphism loci corresponding to these genes were retrieved from the UK Biobank (UKB), and MR exposure data were acquired from the ukb-b-13348 dataset. MR analysis assessed the impact of hdWGCNA-identified genes. Clinical and gene expression data from TCGA and GEO were analyzed using univariate Cox regression to evaluate gene effects on prognosis. Cellular functional experiments and immunohistochemistry assessed gene expression and function in prostate cancer.
Results: We employed the Seurat package for quality control and integration of single-cell data from four patients. hdWGCNA identified three modules, from which 200 genes were selected. The combined analysis of eQTL and MR revealed that TMEM59, JUNB, NECTIN2, OSBPL10, ATF3, and WLS may have relevant associations with prostate cancer. Further investigation using TCGA and GEO data suggested that TMEM59 might act as a protective factor in prostate cancer. Cellular experiments confirmed that TMEM59 knockdown enhanced the proliferation and invasion capabilities of prostate cancer cells. Immunohistochemistry demonstrated a significant decrease in TMEM59 expression in both normal and tumor tissues, particularly in the tumor group.
Conclusions: These findings suggest that TMEM59 may play a crucial role in the progression of prostate cancer and could serve as a prognostic predictor and therapeutic target for the disease.