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Genomic, Immunological, and Clinical Characterization of Pyroptosis in Ovarian Cancer

PURPOSE: Pyroptosis is a form of lytic programmed cell death that is associated with the pathogenesis of many tumors. However, the potential roles of pyroptosis-related genes (PRGs) in the tumor microenvironment (TME) remain unclear. MATERIALS AND METHODS: We systematically described the genetic and...

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Autores principales: Zhou, Min, Li, Bingshu, Liu, Jianfeng, Hong, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714015/
https://www.ncbi.nlm.nih.gov/pubmed/34992421
http://dx.doi.org/10.2147/JIR.S344554
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author Zhou, Min
Li, Bingshu
Liu, Jianfeng
Hong, Li
author_facet Zhou, Min
Li, Bingshu
Liu, Jianfeng
Hong, Li
author_sort Zhou, Min
collection PubMed
description PURPOSE: Pyroptosis is a form of lytic programmed cell death that is associated with the pathogenesis of many tumors. However, the potential roles of pyroptosis-related genes (PRGs) in the tumor microenvironment (TME) remain unclear. MATERIALS AND METHODS: We systematically described the genetic and transcriptional alterations in PRGs in gynecological cancers. An unsupervised clustering method was used to investigate the molecular subtypes of ovarian cancer (OV) and systematically analyze the TME cell infiltration characteristics. A prognostic signature and nomogram were established to quantify the pyroptosis patterns of individual tumors. We also analyzed the expression levels of eight PRGs in the OV tissues. RESULTS: Two distinct molecular subtypes of OV were identified, and these two distinct molecular subtypes could predict clinicopathological features, prognosis, TME stromal activity, immune infiltrating cells, and immune checkpoints. A prognostic signature was established, and its predictive capability was validated. Low risk score, characterized by activation of immunity, upregulation of programmed death-ligand 1 expression, lower tumor immune dysfunction and exclusion scores, lower tumor mutation burden, and favorable prognosis. These findings suggested that low-risk patients with OV may be more sensitive to immunotherapy. In addition, this signature could effectively predict the response to chemotherapy in patients with OV. Furthermore, a prognostic nomogram was generated, which exhibited superior predictive accuracy. CONCLUSION: This study highlights the crucial role of PRGs in the TME and may help develop immunotherapies and promote individualized therapeutic strategies for patients with OV.
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spelling pubmed-87140152022-01-05 Genomic, Immunological, and Clinical Characterization of Pyroptosis in Ovarian Cancer Zhou, Min Li, Bingshu Liu, Jianfeng Hong, Li J Inflamm Res Original Research PURPOSE: Pyroptosis is a form of lytic programmed cell death that is associated with the pathogenesis of many tumors. However, the potential roles of pyroptosis-related genes (PRGs) in the tumor microenvironment (TME) remain unclear. MATERIALS AND METHODS: We systematically described the genetic and transcriptional alterations in PRGs in gynecological cancers. An unsupervised clustering method was used to investigate the molecular subtypes of ovarian cancer (OV) and systematically analyze the TME cell infiltration characteristics. A prognostic signature and nomogram were established to quantify the pyroptosis patterns of individual tumors. We also analyzed the expression levels of eight PRGs in the OV tissues. RESULTS: Two distinct molecular subtypes of OV were identified, and these two distinct molecular subtypes could predict clinicopathological features, prognosis, TME stromal activity, immune infiltrating cells, and immune checkpoints. A prognostic signature was established, and its predictive capability was validated. Low risk score, characterized by activation of immunity, upregulation of programmed death-ligand 1 expression, lower tumor immune dysfunction and exclusion scores, lower tumor mutation burden, and favorable prognosis. These findings suggested that low-risk patients with OV may be more sensitive to immunotherapy. In addition, this signature could effectively predict the response to chemotherapy in patients with OV. Furthermore, a prognostic nomogram was generated, which exhibited superior predictive accuracy. CONCLUSION: This study highlights the crucial role of PRGs in the TME and may help develop immunotherapies and promote individualized therapeutic strategies for patients with OV. Dove 2021-12-24 /pmc/articles/PMC8714015/ /pubmed/34992421 http://dx.doi.org/10.2147/JIR.S344554 Text en © 2021 Zhou et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Zhou, Min
Li, Bingshu
Liu, Jianfeng
Hong, Li
Genomic, Immunological, and Clinical Characterization of Pyroptosis in Ovarian Cancer
title Genomic, Immunological, and Clinical Characterization of Pyroptosis in Ovarian Cancer
title_full Genomic, Immunological, and Clinical Characterization of Pyroptosis in Ovarian Cancer
title_fullStr Genomic, Immunological, and Clinical Characterization of Pyroptosis in Ovarian Cancer
title_full_unstemmed Genomic, Immunological, and Clinical Characterization of Pyroptosis in Ovarian Cancer
title_short Genomic, Immunological, and Clinical Characterization of Pyroptosis in Ovarian Cancer
title_sort genomic, immunological, and clinical characterization of pyroptosis in ovarian cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714015/
https://www.ncbi.nlm.nih.gov/pubmed/34992421
http://dx.doi.org/10.2147/JIR.S344554
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