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

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...

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Autores principales: Leng, Xiao-Fei, Wang, Gao-Fa, Yin, Hao, Wei, Feng, Zeng, Kang-Kang, Zhang, Yi-Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195182/
https://www.ncbi.nlm.nih.gov/pubmed/37213709
http://dx.doi.org/10.1155/2023/6637414
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author Leng, Xiao-Fei
Wang, Gao-Fa
Yin, Hao
Wei, Feng
Zeng, Kang-Kang
Zhang, Yi-Qun
author_facet Leng, Xiao-Fei
Wang, Gao-Fa
Yin, Hao
Wei, Feng
Zeng, Kang-Kang
Zhang, Yi-Qun
author_sort Leng, Xiao-Fei
collection PubMed
description 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.
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spelling pubmed-101951822023-05-19 Comprehensive Analysis Identifies the PPAR-Targeted Genes Associated with Ovarian Cancer Prognosis and Tumor Microenvironment Leng, Xiao-Fei Wang, Gao-Fa Yin, Hao Wei, Feng Zeng, Kang-Kang Zhang, Yi-Qun PPAR Res Research Article 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. Hindawi 2023-05-11 /pmc/articles/PMC10195182/ /pubmed/37213709 http://dx.doi.org/10.1155/2023/6637414 Text en Copyright © 2023 Xiao-Fei Leng et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Leng, Xiao-Fei
Wang, Gao-Fa
Yin, Hao
Wei, Feng
Zeng, Kang-Kang
Zhang, Yi-Qun
Comprehensive Analysis Identifies the PPAR-Targeted Genes Associated with Ovarian Cancer Prognosis and Tumor Microenvironment
title Comprehensive Analysis Identifies the PPAR-Targeted Genes Associated with Ovarian Cancer Prognosis and Tumor Microenvironment
title_full Comprehensive Analysis Identifies the PPAR-Targeted Genes Associated with Ovarian Cancer Prognosis and Tumor Microenvironment
title_fullStr Comprehensive Analysis Identifies the PPAR-Targeted Genes Associated with Ovarian Cancer Prognosis and Tumor Microenvironment
title_full_unstemmed Comprehensive Analysis Identifies the PPAR-Targeted Genes Associated with Ovarian Cancer Prognosis and Tumor Microenvironment
title_short Comprehensive Analysis Identifies the PPAR-Targeted Genes Associated with Ovarian Cancer Prognosis and Tumor Microenvironment
title_sort comprehensive analysis identifies the ppar-targeted genes associated with ovarian cancer prognosis and tumor microenvironment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195182/
https://www.ncbi.nlm.nih.gov/pubmed/37213709
http://dx.doi.org/10.1155/2023/6637414
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