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A hypoxia risk score for prognosis prediction and tumor microenvironment in adrenocortical carcinoma

Background: Adrenocortical carcinoma (ACC) is a rare malignant endocrine tumor derived from the adrenal cortex. Because of its highly aggressive nature, the prognosis of patients with adrenocortical carcinoma is not impressive. Hypoxia exists in the vast majority of solid tumors and contributes to i...

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Autores principales: Deng, Yuanyuan, Li, Huihuang, Fu, Jinglan, Pu, Ying, Zhang, Ying, Chen, Shijing, Tong, Shiyu, Liu, Huixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792869/
https://www.ncbi.nlm.nih.gov/pubmed/36583015
http://dx.doi.org/10.3389/fgene.2022.796681
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author Deng, Yuanyuan
Li, Huihuang
Fu, Jinglan
Pu, Ying
Zhang, Ying
Chen, Shijing
Tong, Shiyu
Liu, Huixia
author_facet Deng, Yuanyuan
Li, Huihuang
Fu, Jinglan
Pu, Ying
Zhang, Ying
Chen, Shijing
Tong, Shiyu
Liu, Huixia
author_sort Deng, Yuanyuan
collection PubMed
description Background: Adrenocortical carcinoma (ACC) is a rare malignant endocrine tumor derived from the adrenal cortex. Because of its highly aggressive nature, the prognosis of patients with adrenocortical carcinoma is not impressive. Hypoxia exists in the vast majority of solid tumors and contributes to invasion, metastasis, and drug resistance. This study aimed to reveal the role of hypoxia in Adrenocortical carcinoma and develop a hypoxia risk score (HRS) for Adrenocortical carcinoma prognostic prediction. Methods: Hypoxia-related genes were obtained from the Molecular Signatures Database. The training cohorts of patients with adrenocortical carcinoma were downloaded from The Cancer Genome Atlas, while another three validation cohorts with comprehensive survival data were collected from the Gene Expression Omnibus. In addition, we constructed a hypoxia classifier using a random survival forest model. Moreover, we explored the relationship between the hypoxia risk score and immunophenotype in adrenocortical carcinoma to evaluate the efficacy of immune check inhibitors (ICI) therapy and prognosis of patients. Results: HRS and tumor stage were identified as independent prognostic factors. HRS was negatively correlated with immune cycle activity, immune cell infiltration, and the T cell inflammatory score. Therefore, we considered the low hypoxia risk score group as the inflammatory immunophenotype, whereas the high HRS group was a non-inflammatory immunophenotype. In addition, the HRS was negatively related to the expression of common immune checkpoint molecules such as PD-L1, CD200, CTLA-4, and TIGIT, suggesting that patients with a lower hypoxia risk score respond better to immunotherapy. Conclusion: We developed and validated a novel hypoxia risk score to predict the immunophenotype and response of patients with adrenocortical carcinoma to immune check inhibitors therapy. These findings not only provide fresh prognostic indicators for adrenocortical carcinoma but also offer several promising treatment targets for this disease.
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spelling pubmed-97928692022-12-28 A hypoxia risk score for prognosis prediction and tumor microenvironment in adrenocortical carcinoma Deng, Yuanyuan Li, Huihuang Fu, Jinglan Pu, Ying Zhang, Ying Chen, Shijing Tong, Shiyu Liu, Huixia Front Genet Genetics Background: Adrenocortical carcinoma (ACC) is a rare malignant endocrine tumor derived from the adrenal cortex. Because of its highly aggressive nature, the prognosis of patients with adrenocortical carcinoma is not impressive. Hypoxia exists in the vast majority of solid tumors and contributes to invasion, metastasis, and drug resistance. This study aimed to reveal the role of hypoxia in Adrenocortical carcinoma and develop a hypoxia risk score (HRS) for Adrenocortical carcinoma prognostic prediction. Methods: Hypoxia-related genes were obtained from the Molecular Signatures Database. The training cohorts of patients with adrenocortical carcinoma were downloaded from The Cancer Genome Atlas, while another three validation cohorts with comprehensive survival data were collected from the Gene Expression Omnibus. In addition, we constructed a hypoxia classifier using a random survival forest model. Moreover, we explored the relationship between the hypoxia risk score and immunophenotype in adrenocortical carcinoma to evaluate the efficacy of immune check inhibitors (ICI) therapy and prognosis of patients. Results: HRS and tumor stage were identified as independent prognostic factors. HRS was negatively correlated with immune cycle activity, immune cell infiltration, and the T cell inflammatory score. Therefore, we considered the low hypoxia risk score group as the inflammatory immunophenotype, whereas the high HRS group was a non-inflammatory immunophenotype. In addition, the HRS was negatively related to the expression of common immune checkpoint molecules such as PD-L1, CD200, CTLA-4, and TIGIT, suggesting that patients with a lower hypoxia risk score respond better to immunotherapy. Conclusion: We developed and validated a novel hypoxia risk score to predict the immunophenotype and response of patients with adrenocortical carcinoma to immune check inhibitors therapy. These findings not only provide fresh prognostic indicators for adrenocortical carcinoma but also offer several promising treatment targets for this disease. Frontiers Media S.A. 2022-12-13 /pmc/articles/PMC9792869/ /pubmed/36583015 http://dx.doi.org/10.3389/fgene.2022.796681 Text en Copyright © 2022 Deng, Li, Fu, Pu, Zhang, Chen, Tong and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Deng, Yuanyuan
Li, Huihuang
Fu, Jinglan
Pu, Ying
Zhang, Ying
Chen, Shijing
Tong, Shiyu
Liu, Huixia
A hypoxia risk score for prognosis prediction and tumor microenvironment in adrenocortical carcinoma
title A hypoxia risk score for prognosis prediction and tumor microenvironment in adrenocortical carcinoma
title_full A hypoxia risk score for prognosis prediction and tumor microenvironment in adrenocortical carcinoma
title_fullStr A hypoxia risk score for prognosis prediction and tumor microenvironment in adrenocortical carcinoma
title_full_unstemmed A hypoxia risk score for prognosis prediction and tumor microenvironment in adrenocortical carcinoma
title_short A hypoxia risk score for prognosis prediction and tumor microenvironment in adrenocortical carcinoma
title_sort hypoxia risk score for prognosis prediction and tumor microenvironment in adrenocortical carcinoma
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792869/
https://www.ncbi.nlm.nih.gov/pubmed/36583015
http://dx.doi.org/10.3389/fgene.2022.796681
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