A bioinformatics analysis of gene expression in endometrial cancer, endometriosis and obesity.

IF 1.2 4区医学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Women & Health Pub Date : 2025-01-01 Epub Date: 2024-12-09 DOI:10.1080/03630242.2024.2437493

Shan Shibu, Shrinal Vasa, Swayamprabha Samantaray, Nidhi Joshi, Dolatsinh Zala, Rajeshkumar G Chaudhari, Kartik Chauhan, Harsh Patel, Bhavin Parekh, Anupama Modi

{"title":"A bioinformatics analysis of gene expression in endometrial cancer, endometriosis and obesity.","authors":"Shan Shibu, Shrinal Vasa, Swayamprabha Samantaray, Nidhi Joshi, Dolatsinh Zala, Rajeshkumar G Chaudhari, Kartik Chauhan, Harsh Patel, Bhavin Parekh, Anupama Modi","doi":"10.1080/03630242.2024.2437493","DOIUrl":null,"url":null,"abstract":"Endometrial cancer (EC), endometriosis (ENDO), and obesity (OBY) are interconnected conditions in women that may share underlying genetic pathways. This study aimed to identify shared genetic pathways and differential gene expressions across these conditions to uncover potential therapeutic targets. A bioinformatics pipeline was applied using gene expression datasets from the GEO database, incorporating differential expression analysis, functional and pathway enrichment, PPI network construction, survival analysis, and mutational profiling across 198 samples. The analysis revealed 26 shared differentially expressed genes (DEGs), with IGF-1, CREBBP, EP300, and PIAS1 identified as key hub genes. Elevated IGF-1 expression was significantly linked to poorer survival outcomes in EC patients (p < .05). Frequent mutations were observed in these hub genes, suggesting their critical role in disease mechanisms. This study highlights genetic links among EC, ENDO, and OBY, emphasizing high IGF-1 expression as a potential prognostic marker in EC and recurrent alterations in hub genes as promising therapeutic targets. These findings provide insights into the shared genetic underpinnings of these conditions and present new avenues for targeted therapies.","PeriodicalId":23972,"journal":{"name":"Women & Health","volume":" ","pages":"60-70"},"PeriodicalIF":1.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Women & Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/03630242.2024.2437493","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/9 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}

引用次数: 0

Abstract

Endometrial cancer (EC), endometriosis (ENDO), and obesity (OBY) are interconnected conditions in women that may share underlying genetic pathways. This study aimed to identify shared genetic pathways and differential gene expressions across these conditions to uncover potential therapeutic targets. A bioinformatics pipeline was applied using gene expression datasets from the GEO database, incorporating differential expression analysis, functional and pathway enrichment, PPI network construction, survival analysis, and mutational profiling across 198 samples. The analysis revealed 26 shared differentially expressed genes (DEGs), with IGF-1, CREBBP, EP300, and PIAS1 identified as key hub genes. Elevated IGF-1 expression was significantly linked to poorer survival outcomes in EC patients (p < .05). Frequent mutations were observed in these hub genes, suggesting their critical role in disease mechanisms. This study highlights genetic links among EC, ENDO, and OBY, emphasizing high IGF-1 expression as a potential prognostic marker in EC and recurrent alterations in hub genes as promising therapeutic targets. These findings provide insights into the shared genetic underpinnings of these conditions and present new avenues for targeted therapies.

查看原文本刊更多论文

子宫内膜癌、子宫内膜异位症和肥胖症基因表达的生物信息学分析。

子宫内膜癌（EC）、子宫内膜异位症（ENDO）和肥胖（OBY）是女性中相互关联的疾病，可能共享潜在的遗传途径。本研究旨在确定这些疾病的共同遗传途径和差异基因表达，以发现潜在的治疗靶点。利用GEO数据库的基因表达数据集，应用生物信息学管道，对198个样本进行差异表达分析、功能和途径富集、PPI网络构建、生存分析和突变分析。分析结果显示，共有26个差异表达基因（DEGs），其中IGF-1、CREBBP、EP300和PIAS1被确定为关键枢纽基因。IGF-1表达升高与EC患者较差的生存结果显著相关(p

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Women & Health Multiple-

CiteScore

2.70

自引率

0.00%

发文量

期刊介绍： Women & Health publishes original papers and critical reviews containing highly useful information for researchers, policy planners, and all providers of health care for women. These papers cover findings from studies concerning health and illness and physical and psychological well-being of women, as well as the environmental, lifestyle and sociocultural factors that are associated with health and disease, which have implications for prevention, early detection and treatment, limitation of disability and rehabilitation.