Cargando…

Pyroptosis-Related Signature as Potential Biomarkers for Predicting Prognosis and Therapy Response in Colorectal Cancer Patients

Background: Abnormal mucosal inflammation is a critical risk factor for pathogenesis and progression of colorectal cancer (CRC). As a type of proinflammatory death, pyroptosis can recast a suitable microenvironment to promote tumor growth. However, the potential role of pyroptosis in CRC remains unc...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Zhiyong, Liu, Yang, Lin, Baiqiang, Yan, Wei, Yi, Huijie, Wang, Haoran, Wei, Yunwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355164/
https://www.ncbi.nlm.nih.gov/pubmed/35937993
http://dx.doi.org/10.3389/fgene.2022.925338
_version_ 1784763231385944064
author Li, Zhiyong
Liu, Yang
Lin, Baiqiang
Yan, Wei
Yi, Huijie
Wang, Haoran
Wei, Yunwei
author_facet Li, Zhiyong
Liu, Yang
Lin, Baiqiang
Yan, Wei
Yi, Huijie
Wang, Haoran
Wei, Yunwei
author_sort Li, Zhiyong
collection PubMed
description Background: Abnormal mucosal inflammation is a critical risk factor for pathogenesis and progression of colorectal cancer (CRC). As a type of proinflammatory death, pyroptosis can recast a suitable microenvironment to promote tumor growth. However, the potential role of pyroptosis in CRC remains unclear. Methods: A total of 38 pyroptosis-related gene (PRG) expression profiles and clinical information were collected from multiple public datasets. Bioinformatics methods were used to analyze the clinical significance, functional status, immune infiltration, genomic alteration, and drug sensitivity in different subgroups. Whole-genome microarray analysis was performed to analyze the regulation of gut microbiota on the expression of PRGs. Results: Two distinct molecular subtypes were identified and suggested that multilayer PRG alterations were associated with patient clinicopathological features, prognosis, and tumor microenvironment (TME) infiltrating characteristics. Furthermore, we obtained eight PRG signatures by applying differential expression analysis and univariate Cox and Lasso regression analyses. A risk prognosis model was constructed for predicting overall survival (OS) and recurrence-free survival (RFS) based on the PRG signature. There were significant differences in clinical characteristics, 22 immune cells, and immune functions between the high- and low-risk groups. In addition, the PRG signature was significantly associated with the microsatellite instability (MSI), tumor mutation burden (TMB), cancer stem cell (CSC) index, immunotherapeutic characteristics, and chemotherapeutic drug sensitivity. Moreover, the in vitro experiments had shown that Fusobacterium nucleatum (F.n) could affect the CASP6 expression, which was associated with the chemoresistance to 5-fluorouracil (5-Fu) in CRC. Conclusion: Our findings provided a foundation for future research targeting pyroptosis and a new insight into the prognosis and immune cell infiltration of CRC, and they suggested that F.n might influence CRC progression through pyroptosis.
format Online
Article
Text
id pubmed-9355164
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-93551642022-08-06 Pyroptosis-Related Signature as Potential Biomarkers for Predicting Prognosis and Therapy Response in Colorectal Cancer Patients Li, Zhiyong Liu, Yang Lin, Baiqiang Yan, Wei Yi, Huijie Wang, Haoran Wei, Yunwei Front Genet Genetics Background: Abnormal mucosal inflammation is a critical risk factor for pathogenesis and progression of colorectal cancer (CRC). As a type of proinflammatory death, pyroptosis can recast a suitable microenvironment to promote tumor growth. However, the potential role of pyroptosis in CRC remains unclear. Methods: A total of 38 pyroptosis-related gene (PRG) expression profiles and clinical information were collected from multiple public datasets. Bioinformatics methods were used to analyze the clinical significance, functional status, immune infiltration, genomic alteration, and drug sensitivity in different subgroups. Whole-genome microarray analysis was performed to analyze the regulation of gut microbiota on the expression of PRGs. Results: Two distinct molecular subtypes were identified and suggested that multilayer PRG alterations were associated with patient clinicopathological features, prognosis, and tumor microenvironment (TME) infiltrating characteristics. Furthermore, we obtained eight PRG signatures by applying differential expression analysis and univariate Cox and Lasso regression analyses. A risk prognosis model was constructed for predicting overall survival (OS) and recurrence-free survival (RFS) based on the PRG signature. There were significant differences in clinical characteristics, 22 immune cells, and immune functions between the high- and low-risk groups. In addition, the PRG signature was significantly associated with the microsatellite instability (MSI), tumor mutation burden (TMB), cancer stem cell (CSC) index, immunotherapeutic characteristics, and chemotherapeutic drug sensitivity. Moreover, the in vitro experiments had shown that Fusobacterium nucleatum (F.n) could affect the CASP6 expression, which was associated with the chemoresistance to 5-fluorouracil (5-Fu) in CRC. Conclusion: Our findings provided a foundation for future research targeting pyroptosis and a new insight into the prognosis and immune cell infiltration of CRC, and they suggested that F.n might influence CRC progression through pyroptosis. Frontiers Media S.A. 2022-07-22 /pmc/articles/PMC9355164/ /pubmed/35937993 http://dx.doi.org/10.3389/fgene.2022.925338 Text en Copyright © 2022 Li, Liu, Lin, Yan, Yi, Wang and Wei. 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 Genetics
Li, Zhiyong
Liu, Yang
Lin, Baiqiang
Yan, Wei
Yi, Huijie
Wang, Haoran
Wei, Yunwei
Pyroptosis-Related Signature as Potential Biomarkers for Predicting Prognosis and Therapy Response in Colorectal Cancer Patients
title Pyroptosis-Related Signature as Potential Biomarkers for Predicting Prognosis and Therapy Response in Colorectal Cancer Patients
title_full Pyroptosis-Related Signature as Potential Biomarkers for Predicting Prognosis and Therapy Response in Colorectal Cancer Patients
title_fullStr Pyroptosis-Related Signature as Potential Biomarkers for Predicting Prognosis and Therapy Response in Colorectal Cancer Patients
title_full_unstemmed Pyroptosis-Related Signature as Potential Biomarkers for Predicting Prognosis and Therapy Response in Colorectal Cancer Patients
title_short Pyroptosis-Related Signature as Potential Biomarkers for Predicting Prognosis and Therapy Response in Colorectal Cancer Patients
title_sort pyroptosis-related signature as potential biomarkers for predicting prognosis and therapy response in colorectal cancer patients
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355164/
https://www.ncbi.nlm.nih.gov/pubmed/35937993
http://dx.doi.org/10.3389/fgene.2022.925338
work_keys_str_mv AT lizhiyong pyroptosisrelatedsignatureaspotentialbiomarkersforpredictingprognosisandtherapyresponseincolorectalcancerpatients
AT liuyang pyroptosisrelatedsignatureaspotentialbiomarkersforpredictingprognosisandtherapyresponseincolorectalcancerpatients
AT linbaiqiang pyroptosisrelatedsignatureaspotentialbiomarkersforpredictingprognosisandtherapyresponseincolorectalcancerpatients
AT yanwei pyroptosisrelatedsignatureaspotentialbiomarkersforpredictingprognosisandtherapyresponseincolorectalcancerpatients
AT yihuijie pyroptosisrelatedsignatureaspotentialbiomarkersforpredictingprognosisandtherapyresponseincolorectalcancerpatients
AT wanghaoran pyroptosisrelatedsignatureaspotentialbiomarkersforpredictingprognosisandtherapyresponseincolorectalcancerpatients
AT weiyunwei pyroptosisrelatedsignatureaspotentialbiomarkersforpredictingprognosisandtherapyresponseincolorectalcancerpatients