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Identification of Novel Pyroptosis-Related Gene Signatures to Predict Prostate Cancer Recurrence

Prostate cancer (PCa) is a common malignant type of urogenital tract tumor with poor prognosis. Despite therapeutic advances, the recurrence and mortality rates of PCa have continued to increase with poor prognoses. Pyroptosis, also known as inflammatory cell necrosis, is a recently identified type...

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Autores principales: Li, Chun, Zhu, Jie, Du, Hexi, Liang, Chaozhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163412/
https://www.ncbi.nlm.nih.gov/pubmed/35669428
http://dx.doi.org/10.3389/fonc.2022.814912
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author Li, Chun
Zhu, Jie
Du, Hexi
Liang, Chaozhao
author_facet Li, Chun
Zhu, Jie
Du, Hexi
Liang, Chaozhao
author_sort Li, Chun
collection PubMed
description Prostate cancer (PCa) is a common malignant type of urogenital tract tumor with poor prognosis. Despite therapeutic advances, the recurrence and mortality rates of PCa have continued to increase with poor prognoses. Pyroptosis, also known as inflammatory cell necrosis, is a recently identified type of programmed cell death that can regulate the invasiveness, differentiation, proliferation, and metastasis of tumor cells; thus, it has a profound effect on the prognosis of patients with tumors. However, the relationship between pyroptosis and PCa remains unclear. We first identified 25 pyroptosis-related genes (PRGs) that were differentially expressed between PCa tissues and matched normal tissues in The Cancer Genome Atlas (TCGA) cohort. Based on the expression levels of 25 PRGs, PCa patients were clearly divided into two clusters and 17 PRGs were found to be significantly different between the two clusters, suggesting probable roles for these genes in the progression and recurrence of PCa. Therefore, the GSE40272 dataset with recurrence follow-up information was used to verify their value. Univariate analysis suggested that 5/17 genes were associated with recurrence, the number of genes did not decrease after least absolute shrinkage and selection operator (LASSO) regression analysis, and 5 PRGs constituted the risk score formula. Low-risk and high-risk subgroups identified using the recurrence model showed different disease-free survival (DFS) times (P<0.001) and the risk score of five PRGs was a factor of independence for recurrence in patients with PCa. In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses suggested that these pathways, and comprising PRGs might be closely related to carcinogenesis and invasion of tumors, tumor microenvironment, and immune response. In conclusion, the expression signatures of PRGs play an important role in predicting PCa recurrence.
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spelling pubmed-91634122022-06-05 Identification of Novel Pyroptosis-Related Gene Signatures to Predict Prostate Cancer Recurrence Li, Chun Zhu, Jie Du, Hexi Liang, Chaozhao Front Oncol Oncology Prostate cancer (PCa) is a common malignant type of urogenital tract tumor with poor prognosis. Despite therapeutic advances, the recurrence and mortality rates of PCa have continued to increase with poor prognoses. Pyroptosis, also known as inflammatory cell necrosis, is a recently identified type of programmed cell death that can regulate the invasiveness, differentiation, proliferation, and metastasis of tumor cells; thus, it has a profound effect on the prognosis of patients with tumors. However, the relationship between pyroptosis and PCa remains unclear. We first identified 25 pyroptosis-related genes (PRGs) that were differentially expressed between PCa tissues and matched normal tissues in The Cancer Genome Atlas (TCGA) cohort. Based on the expression levels of 25 PRGs, PCa patients were clearly divided into two clusters and 17 PRGs were found to be significantly different between the two clusters, suggesting probable roles for these genes in the progression and recurrence of PCa. Therefore, the GSE40272 dataset with recurrence follow-up information was used to verify their value. Univariate analysis suggested that 5/17 genes were associated with recurrence, the number of genes did not decrease after least absolute shrinkage and selection operator (LASSO) regression analysis, and 5 PRGs constituted the risk score formula. Low-risk and high-risk subgroups identified using the recurrence model showed different disease-free survival (DFS) times (P<0.001) and the risk score of five PRGs was a factor of independence for recurrence in patients with PCa. In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses suggested that these pathways, and comprising PRGs might be closely related to carcinogenesis and invasion of tumors, tumor microenvironment, and immune response. In conclusion, the expression signatures of PRGs play an important role in predicting PCa recurrence. Frontiers Media S.A. 2022-05-20 /pmc/articles/PMC9163412/ /pubmed/35669428 http://dx.doi.org/10.3389/fonc.2022.814912 Text en Copyright © 2022 Li, Zhu, Du and Liang 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 Oncology
Li, Chun
Zhu, Jie
Du, Hexi
Liang, Chaozhao
Identification of Novel Pyroptosis-Related Gene Signatures to Predict Prostate Cancer Recurrence
title Identification of Novel Pyroptosis-Related Gene Signatures to Predict Prostate Cancer Recurrence
title_full Identification of Novel Pyroptosis-Related Gene Signatures to Predict Prostate Cancer Recurrence
title_fullStr Identification of Novel Pyroptosis-Related Gene Signatures to Predict Prostate Cancer Recurrence
title_full_unstemmed Identification of Novel Pyroptosis-Related Gene Signatures to Predict Prostate Cancer Recurrence
title_short Identification of Novel Pyroptosis-Related Gene Signatures to Predict Prostate Cancer Recurrence
title_sort identification of novel pyroptosis-related gene signatures to predict prostate cancer recurrence
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163412/
https://www.ncbi.nlm.nih.gov/pubmed/35669428
http://dx.doi.org/10.3389/fonc.2022.814912
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