Evidence map›Paper›PMID 37788005›Full record

ArticleAging2023

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

Linghui Liang, Jinwei Shang, Yuwei Zhang, Yuxin Xu, Yihui Zhouteng, Jianxiang Wen, Yuxin Zhao, Ninghan Feng, Ruizhe Zhao

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Linghui LiangDepartment of Urology, Affiliated Wuxi No. 2 Hospital, Nanjing Medical University and Jiangnan University Medical Center, Wuxi, Jiangsu, China.
Jinwei ShangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yuwei ZhangNantong University Medical School, Nantong, Jiangsu, China.
Yuxin XuNanjing Medical University, Nanjing, Jiangsu, China.
Yihui ZhoutengNanjing Medical University, Nanjing, Jiangsu, China.
Jianxiang WenNanjing Medical University, Nanjing, Jiangsu, China.
Yuxin ZhaoNanjing Medical University, Nanjing, Jiangsu, China.
Ninghan FengDepartment of Urology, Affiliated Wuxi No. 2 Hospital, Nanjing Medical University and Jiangnan University Medical Center, Wuxi, Jiangsu, China.
Ruizhe ZhaoDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Nanjing Medical University · CNWuxi No.2 People's Hospital · CNJiangsu Province Hospital · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of obesity related genes (ORGs) in the immune checkpoint inhibitors (ICIs) treatment of prostate adenocarcinoma (PRAD) has not yet been proved by research.

methodsWe 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.

resultsTwo 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.

conclusionsORGs pattern depicts different TME phenotypes in PRAD. The ORGs risk score and ORGs signature have an important role for predicting prognosis and immunotherapy efficacies.

Indexed as

AdenocarcinomaProstatic NeoplasmsHumansMaleObesityPhenotypePrognosisProstateRisk FactorsTumor Microenvironmentimmunotherapyobesityprognosisprostate adenocarcinomatumor microenvironment

Identifiers

PMID37788005
PMCPMC10599753
OpenAlexW4387253151

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.