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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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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. |
format | Online Article Text |
id | pubmed-10195182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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