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通过生物信息学鉴定与多囊卵巢综合征及子宫内膜癌和卵巢癌相关的关键基因

Identification of Key Genes Associated with Polycystic Ovarian Syndrome and Endometrial and Ovarian Cancer through Bioinformatics.

作者信息

Raulo Karishma, Qazi Sahar

机构信息

Department of Cancer Biology, Quick is Cool Aitele Research LLP, Bihar, India.

Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India.

出版信息

J Hum Reprod Sci. 2024 Apr-Jun;17(2):81-93. doi: 10.4103/jhrs.jhrs_44_24. Epub 2024 Jun 28.

DOI:10.4103/jhrs.jhrs_44_24
PMID:39091436
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11290717/
Abstract

BACKGROUND

Polycystic ovary syndrome (PCOS), a common endocrine disorder, is linked to increased risks of endometrial cancer (EC) and ovarian cancer (OC). Our study utilises bioinformatics analysis to identify shared gene signatures and elucidate biological processes between EC and OC and PCOS.

AIM

The objective of this research is to unveil the common molecular landscape shared by PCOS and EC and OC.

SETTINGS AND DESIGN

An observational computational bioinformatics analysis.

MATERIALS AND METHODS

Gene expression profiles for PCOS (GSE199225), EC (GSE215413) and OC (GSE174670) were obtained from the Gene Expression Omnibus database. Hub genes were identified through functional enrichment analysis and protein-protein interaction. Drug identification analyses were employed to find drugs targeting the hub genes.

RESULTS

Key hub genes linking PCOS and EC includes and ; for PCOS and OC, they include and . Gene Ontology analysis revealed DNA metabolic process in PCOS and EC, while in PCOS and OC, it identified the removal of superoxide radicals. Kyoto Encyclopaedia of Genes and Genomes pathway analysis highlighted cell cycle in PCOS and EC and hepatocellular carcinoma in PCOS and OC. Potential drugs for PCOS and EC include quercetin, calcitriol and testosterone; for PCOS and OC, eugenol and 1-chloro-2,4-dinitrobenzene are identified.

CONCLUSION

These findings offer insights into potential therapeutic targets and pathways linking PCOS with EC and OC, enhancing our understanding of the molecular mechanisms involved in these associations.

摘要

背景

多囊卵巢综合征（PCOS）是一种常见的内分泌紊乱疾病，与子宫内膜癌（EC）和卵巢癌（OC）风险增加有关。我们的研究利用生物信息学分析来识别共同的基因特征，并阐明EC、OC和PCOS之间的生物学过程。

目的

本研究的目的是揭示PCOS与EC和OC共有的分子图谱。

设置与设计

一项观察性计算生物信息学分析。

材料与方法

从基因表达综合数据库中获取PCOS（GSE199225）、EC（GSE215413）和OC（GSE174670）的基因表达谱。通过功能富集分析和蛋白质-蛋白质相互作用确定枢纽基因。采用药物鉴定分析来寻找靶向枢纽基因的药物。

结果

连接PCOS和EC的关键枢纽基因包括 和 ；连接PCOS和OC的枢纽基因包括 和 。基因本体分析显示PCOS和EC中存在DNA代谢过程，而在PCOS和OC中，其识别出超氧自由基的清除。京都基因与基因组百科全书通路分析突出了PCOS和EC中的细胞周期以及PCOS和OC中的肝细胞癌。PCOS和EC的潜在药物包括槲皮素、骨化三醇和睾酮；对于PCOS和OC，鉴定出丁香酚和1-氯-2,4-二硝基苯。

结论

这些发现为连接PCOS与EC和OC的潜在治疗靶点和通路提供了见解，增进了我们对这些关联中涉及的分子机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8750/11290717/eb30439a7796/JHRS-17-81-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8750/11290717/99e8d4c6407e/JHRS-17-81-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8750/11290717/53981dc92fdf/JHRS-17-81-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8750/11290717/b5c03005a9c9/JHRS-17-81-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8750/11290717/eb30439a7796/JHRS-17-81-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8750/11290717/99e8d4c6407e/JHRS-17-81-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8750/11290717/53981dc92fdf/JHRS-17-81-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8750/11290717/b5c03005a9c9/JHRS-17-81-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8750/11290717/eb30439a7796/JHRS-17-81-g004.jpg

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