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A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma

BACKGROUND: Cutaneous melanoma (CM) is a life-threatening destructive malignancy. Pyroptosis significantly correlates with programmed tumor cell death and its microenvironment through active host-tumor crosstalk. However, the prognostic value of pyroptosis-associated gene signatures in CM remains un...

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Autores principales: Wu, Zhengyuan, Chen, Leilei, Jin, Chaojie, Xu, Jing, Zhang, Xingqun, Yao, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520690/
https://www.ncbi.nlm.nih.gov/pubmed/34721986
http://dx.doi.org/10.7717/peerj.12304
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author Wu, Zhengyuan
Chen, Leilei
Jin, Chaojie
Xu, Jing
Zhang, Xingqun
Yao, Yi
author_facet Wu, Zhengyuan
Chen, Leilei
Jin, Chaojie
Xu, Jing
Zhang, Xingqun
Yao, Yi
author_sort Wu, Zhengyuan
collection PubMed
description BACKGROUND: Cutaneous melanoma (CM) is a life-threatening destructive malignancy. Pyroptosis significantly correlates with programmed tumor cell death and its microenvironment through active host-tumor crosstalk. However, the prognostic value of pyroptosis-associated gene signatures in CM remains unclear. METHODS: Gene profiles and clinical data of patients with CM were downloaded from The Cancer Genome Atlas (TCGA) to identify differentially expressed genes associated with pyroptosis and overall survival (OS). We constructed a prognostic gene signature using LASSO analysis, then applied immune cell infiltration scores and Kaplan-Meier, Cox, and pathway enrichment analyses to determine the roles of the gene signature in CM. A validation cohort was collected from the Gene Expression Omnibus (GEO) database. RESULTS: Four pyroptosis-associated genes were identified and incorporated into a prognostic gene signature. Integrated bioinformatics findings showed that the signature correlated with patient survival and was associated with tumor growth and metastasis. The results of Gene Set Enrichment Analysis of a risk signature indicated that several enriched pathways are associated with cancer and immunity. The risk signature for immune status significantly correlated with tumor stem cells, the immune microenvironment, immune cell infiltration and immune subtypes. The expression of four pyroptosis genes significantly correlated with the OS of patients with CM and was related to the sensitivity of cancer cells to several antitumor drugs. A signature comprising four genes associated with pyroptosis offers a novel approach to the prognosis and survival of patients with CM and will facilitate the development of individualized therapy.
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spelling pubmed-85206902021-10-28 A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma Wu, Zhengyuan Chen, Leilei Jin, Chaojie Xu, Jing Zhang, Xingqun Yao, Yi PeerJ Bioinformatics BACKGROUND: Cutaneous melanoma (CM) is a life-threatening destructive malignancy. Pyroptosis significantly correlates with programmed tumor cell death and its microenvironment through active host-tumor crosstalk. However, the prognostic value of pyroptosis-associated gene signatures in CM remains unclear. METHODS: Gene profiles and clinical data of patients with CM were downloaded from The Cancer Genome Atlas (TCGA) to identify differentially expressed genes associated with pyroptosis and overall survival (OS). We constructed a prognostic gene signature using LASSO analysis, then applied immune cell infiltration scores and Kaplan-Meier, Cox, and pathway enrichment analyses to determine the roles of the gene signature in CM. A validation cohort was collected from the Gene Expression Omnibus (GEO) database. RESULTS: Four pyroptosis-associated genes were identified and incorporated into a prognostic gene signature. Integrated bioinformatics findings showed that the signature correlated with patient survival and was associated with tumor growth and metastasis. The results of Gene Set Enrichment Analysis of a risk signature indicated that several enriched pathways are associated with cancer and immunity. The risk signature for immune status significantly correlated with tumor stem cells, the immune microenvironment, immune cell infiltration and immune subtypes. The expression of four pyroptosis genes significantly correlated with the OS of patients with CM and was related to the sensitivity of cancer cells to several antitumor drugs. A signature comprising four genes associated with pyroptosis offers a novel approach to the prognosis and survival of patients with CM and will facilitate the development of individualized therapy. PeerJ Inc. 2021-10-14 /pmc/articles/PMC8520690/ /pubmed/34721986 http://dx.doi.org/10.7717/peerj.12304 Text en © 2021 Wu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Wu, Zhengyuan
Chen, Leilei
Jin, Chaojie
Xu, Jing
Zhang, Xingqun
Yao, Yi
A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma
title A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma
title_full A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma
title_fullStr A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma
title_full_unstemmed A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma
title_short A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma
title_sort novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520690/
https://www.ncbi.nlm.nih.gov/pubmed/34721986
http://dx.doi.org/10.7717/peerj.12304
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