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Identification and validation of obesity related genes signature based on microenvironment phenotypes in prostate adenocarcinoma

Background: The role of obesity related genes (ORGs) in the immune checkpoint inhibitors (ICIs) treatment of prostate adenocarcinoma (PRAD) has not yet been proved by research. Methods: We comprehensively evaluated the ORGs patterns in PRAD based on tumor microenvironment (TME) phenotypes and immuno...

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Autores principales: Liang, Linghui, Shang, Jinwei, Zhang, Yuwei, Xu, Yuxin, Zhouteng, Yihui, Wen, Jianxiang, Zhao, Yuxin, Feng, Ninghan, Zhao, Ruizhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599753/
https://www.ncbi.nlm.nih.gov/pubmed/37788005
http://dx.doi.org/10.18632/aging.205065
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author Liang, Linghui
Shang, Jinwei
Zhang, Yuwei
Xu, Yuxin
Zhouteng, Yihui
Wen, Jianxiang
Zhao, Yuxin
Feng, Ninghan
Zhao, Ruizhe
author_facet Liang, Linghui
Shang, Jinwei
Zhang, Yuwei
Xu, Yuxin
Zhouteng, Yihui
Wen, Jianxiang
Zhao, Yuxin
Feng, Ninghan
Zhao, Ruizhe
author_sort Liang, Linghui
collection PubMed
description Background: The role of obesity related genes (ORGs) in the immune checkpoint inhibitors (ICIs) treatment of prostate adenocarcinoma (PRAD) has not yet been proved by research. Methods: We comprehensively evaluated the ORGs patterns in PRAD based on tumor microenvironment (TME) phenotypes and immunotherapy efficacies. Then we constructed a ORGs risk score for prognosis and a ORGs signature for accurate prediction of TME phenotype and immunotherapy efficacy in order to evaluate individual patients. Results: Two distinct ORGs patterns were generated. The two ORGs patterns were consistent with inflammatory and non-inflammatory TME phenotypes. ORGs patterns had an important role for predicting immunotherapy efficacies. Next, we constructed a ORGs risk score for predicting each patient’s prognosis with high performance in TCGA-PRAD. The ORGs risk score could be well verified in the external cohorts including GSE70769 and GSE21034. Then, we developed a ORGs signature and found it was significantly positively correlated with tumor-infiltrating lymphocytes in TCGA-PRAD. We found that each patient in the high-risk ORGs signature group represented a non-inflamed TME phenotype on the single cell level. The patients with high ORGs signature had more sensitivity to immunotherapy. And those ORGs were verified. Conclusions: ORGs pattern depicts different TME phenotypes in PRAD. The ORGs risk score and ORGs signature have an important role for predicting prognosis and immunotherapy efficacies.
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spelling pubmed-105997532023-10-26 Identification and validation of obesity related genes signature based on microenvironment phenotypes in prostate adenocarcinoma Liang, Linghui Shang, Jinwei Zhang, Yuwei Xu, Yuxin Zhouteng, Yihui Wen, Jianxiang Zhao, Yuxin Feng, Ninghan Zhao, Ruizhe Aging (Albany NY) Research Paper Background: The role of obesity related genes (ORGs) in the immune checkpoint inhibitors (ICIs) treatment of prostate adenocarcinoma (PRAD) has not yet been proved by research. Methods: We comprehensively evaluated the ORGs patterns in PRAD based on tumor microenvironment (TME) phenotypes and immunotherapy efficacies. Then we constructed a ORGs risk score for prognosis and a ORGs signature for accurate prediction of TME phenotype and immunotherapy efficacy in order to evaluate individual patients. Results: Two distinct ORGs patterns were generated. The two ORGs patterns were consistent with inflammatory and non-inflammatory TME phenotypes. ORGs patterns had an important role for predicting immunotherapy efficacies. Next, we constructed a ORGs risk score for predicting each patient’s prognosis with high performance in TCGA-PRAD. The ORGs risk score could be well verified in the external cohorts including GSE70769 and GSE21034. Then, we developed a ORGs signature and found it was significantly positively correlated with tumor-infiltrating lymphocytes in TCGA-PRAD. We found that each patient in the high-risk ORGs signature group represented a non-inflamed TME phenotype on the single cell level. The patients with high ORGs signature had more sensitivity to immunotherapy. And those ORGs were verified. Conclusions: ORGs pattern depicts different TME phenotypes in PRAD. The ORGs risk score and ORGs signature have an important role for predicting prognosis and immunotherapy efficacies. Impact Journals 2023-10-02 /pmc/articles/PMC10599753/ /pubmed/37788005 http://dx.doi.org/10.18632/aging.205065 Text en Copyright: © 2023 Liang et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Liang, Linghui
Shang, Jinwei
Zhang, Yuwei
Xu, Yuxin
Zhouteng, Yihui
Wen, Jianxiang
Zhao, Yuxin
Feng, Ninghan
Zhao, Ruizhe
Identification and validation of obesity related genes signature based on microenvironment phenotypes in prostate adenocarcinoma
title Identification and validation of obesity related genes signature based on microenvironment phenotypes in prostate adenocarcinoma
title_full Identification and validation of obesity related genes signature based on microenvironment phenotypes in prostate adenocarcinoma
title_fullStr Identification and validation of obesity related genes signature based on microenvironment phenotypes in prostate adenocarcinoma
title_full_unstemmed Identification and validation of obesity related genes signature based on microenvironment phenotypes in prostate adenocarcinoma
title_short Identification and validation of obesity related genes signature based on microenvironment phenotypes in prostate adenocarcinoma
title_sort identification and validation of obesity related genes signature based on microenvironment phenotypes in prostate adenocarcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599753/
https://www.ncbi.nlm.nih.gov/pubmed/37788005
http://dx.doi.org/10.18632/aging.205065
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