Cargando…

Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes

BACKGROUND: The role of pyroptosis-related genes (PRGs) in esophageal adenocarcinoma (EAC) remains unknown. METHODS: In this study, the first PRGs prognostic signature (PPS) of EAC was constructed based on the results of multivariate stepwise Cox regression analysis. Based on 1,047 samples of EAC an...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Guo-Sheng, He, Rong-Quan, Liu, Jun, He, Juan, Fu, Zong-Wang, Yang, Lin-Jie, Ma, Jie, Yang, Li-Hua, Zhou, Hua-Fu, Zeng, Jiang-Hui, Chen, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900411/
https://www.ncbi.nlm.nih.gov/pubmed/35255915
http://dx.doi.org/10.1186/s12920-022-01196-x
_version_ 1784664107342888960
author Li, Guo-Sheng
He, Rong-Quan
Liu, Jun
He, Juan
Fu, Zong-Wang
Yang, Lin-Jie
Ma, Jie
Yang, Li-Hua
Zhou, Hua-Fu
Zeng, Jiang-Hui
Chen, Gang
author_facet Li, Guo-Sheng
He, Rong-Quan
Liu, Jun
He, Juan
Fu, Zong-Wang
Yang, Lin-Jie
Ma, Jie
Yang, Li-Hua
Zhou, Hua-Fu
Zeng, Jiang-Hui
Chen, Gang
author_sort Li, Guo-Sheng
collection PubMed
description BACKGROUND: The role of pyroptosis-related genes (PRGs) in esophageal adenocarcinoma (EAC) remains unknown. METHODS: In this study, the first PRGs prognostic signature (PPS) of EAC was constructed based on the results of multivariate stepwise Cox regression analysis. Based on 1,047 samples of EAC and normal esophagus (NE), differentially expressed PRGs were selected for the establishment of the PPS. The discrimination effect of this PPS was detected by receiver operating characteristic curves, and the prognosis value of this PPS was determined through Cox regression analysis and Kaplan-Meier curves. Net benefits of the EAC patients from the nomogram (constructed based on the PPS and some clinical parameters) were assessed via decision curve analysis. The potential molecular mechanism of the PPS in EAC was explored via gene set enrichment analysis. The ability of PPS to distinguish EAC and NE was evaluated based on the results of summary receiver operating characteristic curves. RESULTS: The significant prognostic value of PPS can be observed at all of the training cohort, test cohort, and validation cohort, such as its independent risk role in the prognosis of the EAC patients (hazard ratio > 0; 95% CI not including 0). The positive net benefits of the nomogram for the EAC patients can be detected via decision curve analysis, and the potential molecular mechanism of the PPS in EAC is likely related to cell pyroptosis. Last, some of the PRGs (particularly CASP5) included in this PPS specifically support its feasibility for identifying EAC (area under the curves > 0.7). CONCLUSIONS: The construction of this PPS in EAC enhances the present understanding of the relationship between PRGs and EAC, thus representing a novel approach to the clinical identification and management of EAC based on PRGs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01196-x.
format Online
Article
Text
id pubmed-8900411
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-89004112022-03-17 Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes Li, Guo-Sheng He, Rong-Quan Liu, Jun He, Juan Fu, Zong-Wang Yang, Lin-Jie Ma, Jie Yang, Li-Hua Zhou, Hua-Fu Zeng, Jiang-Hui Chen, Gang BMC Med Genomics Research BACKGROUND: The role of pyroptosis-related genes (PRGs) in esophageal adenocarcinoma (EAC) remains unknown. METHODS: In this study, the first PRGs prognostic signature (PPS) of EAC was constructed based on the results of multivariate stepwise Cox regression analysis. Based on 1,047 samples of EAC and normal esophagus (NE), differentially expressed PRGs were selected for the establishment of the PPS. The discrimination effect of this PPS was detected by receiver operating characteristic curves, and the prognosis value of this PPS was determined through Cox regression analysis and Kaplan-Meier curves. Net benefits of the EAC patients from the nomogram (constructed based on the PPS and some clinical parameters) were assessed via decision curve analysis. The potential molecular mechanism of the PPS in EAC was explored via gene set enrichment analysis. The ability of PPS to distinguish EAC and NE was evaluated based on the results of summary receiver operating characteristic curves. RESULTS: The significant prognostic value of PPS can be observed at all of the training cohort, test cohort, and validation cohort, such as its independent risk role in the prognosis of the EAC patients (hazard ratio > 0; 95% CI not including 0). The positive net benefits of the nomogram for the EAC patients can be detected via decision curve analysis, and the potential molecular mechanism of the PPS in EAC is likely related to cell pyroptosis. Last, some of the PRGs (particularly CASP5) included in this PPS specifically support its feasibility for identifying EAC (area under the curves > 0.7). CONCLUSIONS: The construction of this PPS in EAC enhances the present understanding of the relationship between PRGs and EAC, thus representing a novel approach to the clinical identification and management of EAC based on PRGs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01196-x. BioMed Central 2022-03-07 /pmc/articles/PMC8900411/ /pubmed/35255915 http://dx.doi.org/10.1186/s12920-022-01196-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Guo-Sheng
He, Rong-Quan
Liu, Jun
He, Juan
Fu, Zong-Wang
Yang, Lin-Jie
Ma, Jie
Yang, Li-Hua
Zhou, Hua-Fu
Zeng, Jiang-Hui
Chen, Gang
Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes
title Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes
title_full Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes
title_fullStr Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes
title_full_unstemmed Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes
title_short Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes
title_sort prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900411/
https://www.ncbi.nlm.nih.gov/pubmed/35255915
http://dx.doi.org/10.1186/s12920-022-01196-x
work_keys_str_mv AT liguosheng prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes
AT herongquan prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes
AT liujun prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes
AT hejuan prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes
AT fuzongwang prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes
AT yanglinjie prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes
AT majie prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes
AT yanglihua prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes
AT zhouhuafu prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes
AT zengjianghui prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes
AT chengang prognosticsignatureofesophagealadenocarcinomabasedonpyroptosisrelatedgenes