Comprehensive Analysis Identifies the PPAR-Targeted Genes Associated with Ovarian Cancer Prognosis and Tumor Microenvironment

作者全名："Leng, Xiao-Fei; Wang, Gao-Fa; Yin, Hao; Wei, Feng; Zeng, Kang-Kang; Zhang, Yi-Qun"

作者地址："[Leng, Xiao-Fei; Wang, Gao-Fa; Yin, Hao; Wei, Feng; Zeng, Kang-Kang; Zhang, Yi-Qun] Hubei Univ Med, Taihe Hosp, Dept Obstet & Gynecol, Shiyan, Peoples R China; [Zhang, Yi-Qun] Chongqing Med Univ, State Key Lab Ultrasound Med & Engn, Chongqing 400016, Peoples R China; [Zhang, Yi-Qun] Capital Med Univ, Beijing Obstet & Gynecol Hosp, Dept Gynecol Oncol, 251,Yaojiayuan Rd, Beijing, Peoples R China"

通信作者："Zhang, YQ (通讯作者)，Hubei Univ Med, Taihe Hosp, Dept Obstet & Gynecol, Shiyan, Peoples R China.; Zhang, YQ (通讯作者)，Chongqing Med Univ, State Key Lab Ultrasound Med & Engn, Chongqing 400016, Peoples R China.; Zhang, YQ (通讯作者)，Capital Med Univ, Beijing Obstet & Gynecol Hosp, Dept Gynecol Oncol, 251,Yaojiayuan Rd, Beijing, Peoples R China."

来源：PPAR RESEARCH

ESI学科分类：BIOLOGY & BIOCHEMISTRY

WOS号：WOS:000990375200001

JCR分区：Q2

影响因子：3.5

年份：2023

卷号：2023

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：　

摘要："Background. There is a significant role for peroxisome proliferator-activated receptors (PPARs) in the development of cancer. Nevertheless, the role of PPARs-related genes in ovarian cancer (OC) remains unclear. Methods. The open-accessed data used for analysis were downloaded from The Cancer Genome Atlas database, which was analyzed using the R software. Results. In our study, we comprehensively investigated the PPAR target genes in OC, including their biological role. Meanwhile, a prognosis signature consisting of eight PPAR target genes was established, including apolipoprotein A-V, UDP glucuronosyltransferase 2 family, polypeptide B4, TSC22 domain family, member 1, growth hormone inducible transmembrane protein, renin, dedicator of cytokinesis 4, enoyl CoA hydratase 1, peroxisomal (ECH1), and angiopoietin-like 4, which showed a good prediction efficiency. A nomogram was constructed by combining the clinical feature and risk score. Immune infiltration and biological enrichment analysis were applied to investigate the difference between high- and low-risk patients. Immunotherapy analysis indicated that low-risk patients might respond better to immunotherapy. Drug sensitivity analysis indicated that high-risk patients might respond better to bleomycin, nilotinib, pazopanib, pyrimethamine, and vinorelbine, yet worse to cisplatin and gefitinib. Furthermore, the gene ECH1 was selected for further analysis. Conclusions. Our study identified a prognosis signature that could effectively indicates patients survival. Meanwhile, our study can provide the direction for future studies focused on the PPARs in OC."

基金机构：Foundation of State Key Laboratory of Ultrasound in Medicine and Engineering [2022KFKT012]

基金资助正文：AcknowledgmentsThis work was supported by the Foundation of State Key Laboratory of Ultrasound in Medicine and Engineering (Grant No. 2022KFKT012).