Cargando…

Identification of necroptosis-related genes for predicting prognosis and exploring immune infiltration landscape in colon adenocarcinoma

BACKGROUND: Necroptosis is a recently discovered form of cell death that plays an important role in the occurrence and development of colon adenocarcinoma (COAD). Our study aimed to construct a risk score model to predict the prognosis of patients with COAD based on necroptosis-related genes. METHOD...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Ye, Lin, Ming-gui, Meng, Lei, Chen, Zhang-ming, Wei, Zhi-jian, Ying, Song-cheng, Xu, Aman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731216/
https://www.ncbi.nlm.nih.gov/pubmed/36505813
http://dx.doi.org/10.3389/fonc.2022.941156
_version_ 1784845861175427072
author Wang, Ye
Lin, Ming-gui
Meng, Lei
Chen, Zhang-ming
Wei, Zhi-jian
Ying, Song-cheng
Xu, Aman
author_facet Wang, Ye
Lin, Ming-gui
Meng, Lei
Chen, Zhang-ming
Wei, Zhi-jian
Ying, Song-cheng
Xu, Aman
author_sort Wang, Ye
collection PubMed
description BACKGROUND: Necroptosis is a recently discovered form of cell death that plays an important role in the occurrence and development of colon adenocarcinoma (COAD). Our study aimed to construct a risk score model to predict the prognosis of patients with COAD based on necroptosis-related genes. METHODS: The gene expression data of COAD and normal colon samples were obtained from the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx). The least absolute shrinkage and selection operator (LASSO) Cox regression analysis was used to calculate the risk score based on prognostic necroptosis-related differentially expressed genes (DEGs). Based on the risk score, patients were classified into high- and low-risk groups. Then, nomogram models were built based on the risk score and clinicopathological features. Otherwise, the model was verified in the Gene Expression Omnibus (GEO) database. Additionally, the tumor microenvironment (TME) and the level of immune infiltration were evaluated by “ESTIMATE” and single-sample gene set enrichment analysis (ssGSEA). Functional enrichment analysis was carried out to explore the potential mechanism of necroptosis in COAD. Finally, the effect of necroptosis on colon cancer cells was explored through CCK8 and transwell assays. The expression of necroptosis-related genes in colon tissues and cells treated with necroptotic inducers (TNFα) and inhibitors (NEC-1) was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: The risk score was an independent prognostic risk factor in COAD. The predictive value of the nomogram based on the risk score and clinicopathological features was superior to TNM staging. The effectiveness of the model was well validated in GSE152430. Immune and stromal scores were significantly elevated in the high-risk group. Moreover, necroptosis may influence the prognosis of COAD via influencing the cancer immune response. In in-vitro experiments, the inhibition of necroptosis can promote proliferation and invasion ability. Finally, the differential expression of necroptosis-related genes in 16 paired colon tissues and colon cancer cells was found. CONCLUSION: A novel necroptosis-related gene signature for forecasting the prognosis of COAD has been constructed, which possesses favorable predictive ability and offers ideas for the necroptosis-associated development of COAD.
format Online
Article
Text
id pubmed-9731216
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97312162022-12-09 Identification of necroptosis-related genes for predicting prognosis and exploring immune infiltration landscape in colon adenocarcinoma Wang, Ye Lin, Ming-gui Meng, Lei Chen, Zhang-ming Wei, Zhi-jian Ying, Song-cheng Xu, Aman Front Oncol Oncology BACKGROUND: Necroptosis is a recently discovered form of cell death that plays an important role in the occurrence and development of colon adenocarcinoma (COAD). Our study aimed to construct a risk score model to predict the prognosis of patients with COAD based on necroptosis-related genes. METHODS: The gene expression data of COAD and normal colon samples were obtained from the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx). The least absolute shrinkage and selection operator (LASSO) Cox regression analysis was used to calculate the risk score based on prognostic necroptosis-related differentially expressed genes (DEGs). Based on the risk score, patients were classified into high- and low-risk groups. Then, nomogram models were built based on the risk score and clinicopathological features. Otherwise, the model was verified in the Gene Expression Omnibus (GEO) database. Additionally, the tumor microenvironment (TME) and the level of immune infiltration were evaluated by “ESTIMATE” and single-sample gene set enrichment analysis (ssGSEA). Functional enrichment analysis was carried out to explore the potential mechanism of necroptosis in COAD. Finally, the effect of necroptosis on colon cancer cells was explored through CCK8 and transwell assays. The expression of necroptosis-related genes in colon tissues and cells treated with necroptotic inducers (TNFα) and inhibitors (NEC-1) was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: The risk score was an independent prognostic risk factor in COAD. The predictive value of the nomogram based on the risk score and clinicopathological features was superior to TNM staging. The effectiveness of the model was well validated in GSE152430. Immune and stromal scores were significantly elevated in the high-risk group. Moreover, necroptosis may influence the prognosis of COAD via influencing the cancer immune response. In in-vitro experiments, the inhibition of necroptosis can promote proliferation and invasion ability. Finally, the differential expression of necroptosis-related genes in 16 paired colon tissues and colon cancer cells was found. CONCLUSION: A novel necroptosis-related gene signature for forecasting the prognosis of COAD has been constructed, which possesses favorable predictive ability and offers ideas for the necroptosis-associated development of COAD. Frontiers Media S.A. 2022-11-24 /pmc/articles/PMC9731216/ /pubmed/36505813 http://dx.doi.org/10.3389/fonc.2022.941156 Text en Copyright © 2022 Wang, Lin, Meng, Chen, Wei, Ying and Xu 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
Wang, Ye
Lin, Ming-gui
Meng, Lei
Chen, Zhang-ming
Wei, Zhi-jian
Ying, Song-cheng
Xu, Aman
Identification of necroptosis-related genes for predicting prognosis and exploring immune infiltration landscape in colon adenocarcinoma
title Identification of necroptosis-related genes for predicting prognosis and exploring immune infiltration landscape in colon adenocarcinoma
title_full Identification of necroptosis-related genes for predicting prognosis and exploring immune infiltration landscape in colon adenocarcinoma
title_fullStr Identification of necroptosis-related genes for predicting prognosis and exploring immune infiltration landscape in colon adenocarcinoma
title_full_unstemmed Identification of necroptosis-related genes for predicting prognosis and exploring immune infiltration landscape in colon adenocarcinoma
title_short Identification of necroptosis-related genes for predicting prognosis and exploring immune infiltration landscape in colon adenocarcinoma
title_sort identification of necroptosis-related genes for predicting prognosis and exploring immune infiltration landscape in colon adenocarcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731216/
https://www.ncbi.nlm.nih.gov/pubmed/36505813
http://dx.doi.org/10.3389/fonc.2022.941156
work_keys_str_mv AT wangye identificationofnecroptosisrelatedgenesforpredictingprognosisandexploringimmuneinfiltrationlandscapeincolonadenocarcinoma
AT linminggui identificationofnecroptosisrelatedgenesforpredictingprognosisandexploringimmuneinfiltrationlandscapeincolonadenocarcinoma
AT menglei identificationofnecroptosisrelatedgenesforpredictingprognosisandexploringimmuneinfiltrationlandscapeincolonadenocarcinoma
AT chenzhangming identificationofnecroptosisrelatedgenesforpredictingprognosisandexploringimmuneinfiltrationlandscapeincolonadenocarcinoma
AT weizhijian identificationofnecroptosisrelatedgenesforpredictingprognosisandexploringimmuneinfiltrationlandscapeincolonadenocarcinoma
AT yingsongcheng identificationofnecroptosisrelatedgenesforpredictingprognosisandexploringimmuneinfiltrationlandscapeincolonadenocarcinoma
AT xuaman identificationofnecroptosisrelatedgenesforpredictingprognosisandexploringimmuneinfiltrationlandscapeincolonadenocarcinoma