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Identification of a Hypoxia-Related Gene Signature for Predicting Systemic Metastasis in Prostate Cancer

Background: Systemic metastasis is the main cause of death in patients with prostate cancer. It is necessary to establish a more accurate model to distinguish and predict patients with a high risk of metastasis to optimize individualized treatment. Methods: In this study, it was determined that hypo...

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Autores principales: Xia, Haoran, Wang, Jianlong, Guo, Xiaoxiao, Lv, Zhengtong, Liu, Jingchao, Yan, Qiuxia, Liu, Ming, Wang, Jianye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548828/
https://www.ncbi.nlm.nih.gov/pubmed/34722497
http://dx.doi.org/10.3389/fcell.2021.696364
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author Xia, Haoran
Wang, Jianlong
Guo, Xiaoxiao
Lv, Zhengtong
Liu, Jingchao
Yan, Qiuxia
Liu, Ming
Wang, Jianye
author_facet Xia, Haoran
Wang, Jianlong
Guo, Xiaoxiao
Lv, Zhengtong
Liu, Jingchao
Yan, Qiuxia
Liu, Ming
Wang, Jianye
author_sort Xia, Haoran
collection PubMed
description Background: Systemic metastasis is the main cause of death in patients with prostate cancer. It is necessary to establish a more accurate model to distinguish and predict patients with a high risk of metastasis to optimize individualized treatment. Methods: In this study, it was determined that hypoxia could affect the metastasis-free survival of patients with prostate cancer, and a hypoxia-related gene signature composed of seven genes for predicting metastasis was established and verified in different cohorts. The study further evaluated the effects of ALDOB expression on the proliferation and invasion of the LNCaP and DU145 cell lines under hypoxia and finally constructed a nomogram containing specific clinical characteristics of prostate cancer combined with the hypoxia gene signature to quantify the metastasis risk of individual patients. Results: The hypoxia-related gene signature was identified as an independent risk factor for metastasis-free survival in patients with prostate cancer. The expression of ALDOB increased under hypoxia and promoted the proliferation and invasion of LNCaP and DU145 cells. In addition, patients with a high risk score showed therapeutic resistance and immunosuppression. Compared with other parameters, the nomogram had the strongest predictive power and net clinical benefit. Conclusion: The study established a hypoxia-related gene signature and a nomogram to distinguish and predict patients with a high risk of prostate cancer metastasis, which may help to optimize individualized treatment and explore possible therapeutic targets.
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spelling pubmed-85488282021-10-28 Identification of a Hypoxia-Related Gene Signature for Predicting Systemic Metastasis in Prostate Cancer Xia, Haoran Wang, Jianlong Guo, Xiaoxiao Lv, Zhengtong Liu, Jingchao Yan, Qiuxia Liu, Ming Wang, Jianye Front Cell Dev Biol Cell and Developmental Biology Background: Systemic metastasis is the main cause of death in patients with prostate cancer. It is necessary to establish a more accurate model to distinguish and predict patients with a high risk of metastasis to optimize individualized treatment. Methods: In this study, it was determined that hypoxia could affect the metastasis-free survival of patients with prostate cancer, and a hypoxia-related gene signature composed of seven genes for predicting metastasis was established and verified in different cohorts. The study further evaluated the effects of ALDOB expression on the proliferation and invasion of the LNCaP and DU145 cell lines under hypoxia and finally constructed a nomogram containing specific clinical characteristics of prostate cancer combined with the hypoxia gene signature to quantify the metastasis risk of individual patients. Results: The hypoxia-related gene signature was identified as an independent risk factor for metastasis-free survival in patients with prostate cancer. The expression of ALDOB increased under hypoxia and promoted the proliferation and invasion of LNCaP and DU145 cells. In addition, patients with a high risk score showed therapeutic resistance and immunosuppression. Compared with other parameters, the nomogram had the strongest predictive power and net clinical benefit. Conclusion: The study established a hypoxia-related gene signature and a nomogram to distinguish and predict patients with a high risk of prostate cancer metastasis, which may help to optimize individualized treatment and explore possible therapeutic targets. Frontiers Media S.A. 2021-10-13 /pmc/articles/PMC8548828/ /pubmed/34722497 http://dx.doi.org/10.3389/fcell.2021.696364 Text en Copyright © 2021 Xia, Wang, Guo, Lv, Liu, Yan, Liu and Wang. 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 Cell and Developmental Biology
Xia, Haoran
Wang, Jianlong
Guo, Xiaoxiao
Lv, Zhengtong
Liu, Jingchao
Yan, Qiuxia
Liu, Ming
Wang, Jianye
Identification of a Hypoxia-Related Gene Signature for Predicting Systemic Metastasis in Prostate Cancer
title Identification of a Hypoxia-Related Gene Signature for Predicting Systemic Metastasis in Prostate Cancer
title_full Identification of a Hypoxia-Related Gene Signature for Predicting Systemic Metastasis in Prostate Cancer
title_fullStr Identification of a Hypoxia-Related Gene Signature for Predicting Systemic Metastasis in Prostate Cancer
title_full_unstemmed Identification of a Hypoxia-Related Gene Signature for Predicting Systemic Metastasis in Prostate Cancer
title_short Identification of a Hypoxia-Related Gene Signature for Predicting Systemic Metastasis in Prostate Cancer
title_sort identification of a hypoxia-related gene signature for predicting systemic metastasis in prostate cancer
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548828/
https://www.ncbi.nlm.nih.gov/pubmed/34722497
http://dx.doi.org/10.3389/fcell.2021.696364
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