Cargando…
Development of a 5-mRNAsi-related gene signature to predict the prognosis of colon adenocarcinoma
AIM: To create a prognosis model based on mRNA-based stem index (mRNAsi) for evaluating the prognostic outcomes of colon adenocarcinoma (COAD). BACKGROUND: Generation of heterogeneous COAD cells could be promoted by the self-renewal and differentiation potential of cancer stem cells (CSCs). Biomarke...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680455/ https://www.ncbi.nlm.nih.gov/pubmed/38025763 http://dx.doi.org/10.7717/peerj.16477 |
_version_ | 1785150720204341248 |
---|---|
author | Huang, Haifu Lu, Lin Li, Yaoxuan Chen, Xiumei Li, Meng Yang, Meiling Huang, Xuewu |
author_facet | Huang, Haifu Lu, Lin Li, Yaoxuan Chen, Xiumei Li, Meng Yang, Meiling Huang, Xuewu |
author_sort | Huang, Haifu |
collection | PubMed |
description | AIM: To create a prognosis model based on mRNA-based stem index (mRNAsi) for evaluating the prognostic outcomes of colon adenocarcinoma (COAD). BACKGROUND: Generation of heterogeneous COAD cells could be promoted by the self-renewal and differentiation potential of cancer stem cells (CSCs). Biomarkers contributing to the development of COAD stem cells remained to be discovered. OBJECTIVE: To develop and validate an mRNAsi-based risk model for estimating the prognostic outcomes of patients suffering from COAD. METHODS: Samples were collected from Rectal Adenocarcinoma (TCGA-READ) PanCancer Atlas datasets, The Cancer Genome Atlas Colon Adenocarcinoma (TCGA-COAD), and the GSE87211 dataset. MRNAsi was calculated by one-class logistic regression (OCLR) algorithm. Under the criterion of correlation greater than 0.4, genes related to mRNAsi were screened and clustered. Meanwhile, differentially expressed genes (DEGs) between molecular subtypes were identified to establish a risk model. According to the median risk score value for immunotherapy and results from immune cell infiltration and clinicopathological analyses, clusters and patients were divided into high-RiskScore and low-RiskScore groups. Cell apoptosis and viability were detected by flow cytometer and Cell Counting Kit-8 (CCK-8) assay, respectively. RESULTS: A negative correlation between mRNAsi and clinical stages was observed. Three clusters of patients (C1, C2, and C3) were defined based on a total of 165 survival-related mRNAsi genes. Specifically, C1 patients had greater immune cell infiltration and a poorer prognosis. A 5-mRNAsi-gene signature (HEYL, FSTL3, FABP4, ADAM8, and EBF4) served as a prediction index for COAD prognosis. High-RiskScore patients had a poorer prognosis and higher level of immune cell infiltration. In addition, the five genes in the signature all showed a high expression in COAD cells. Knocking down HEYL promoted COAD cell apoptosis and inhibited viability. CONCLUSION: Our mRNAsi risk model could better predict the prognosis of COAD patients. |
format | Online Article Text |
id | pubmed-10680455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106804552023-11-24 Development of a 5-mRNAsi-related gene signature to predict the prognosis of colon adenocarcinoma Huang, Haifu Lu, Lin Li, Yaoxuan Chen, Xiumei Li, Meng Yang, Meiling Huang, Xuewu PeerJ Bioinformatics AIM: To create a prognosis model based on mRNA-based stem index (mRNAsi) for evaluating the prognostic outcomes of colon adenocarcinoma (COAD). BACKGROUND: Generation of heterogeneous COAD cells could be promoted by the self-renewal and differentiation potential of cancer stem cells (CSCs). Biomarkers contributing to the development of COAD stem cells remained to be discovered. OBJECTIVE: To develop and validate an mRNAsi-based risk model for estimating the prognostic outcomes of patients suffering from COAD. METHODS: Samples were collected from Rectal Adenocarcinoma (TCGA-READ) PanCancer Atlas datasets, The Cancer Genome Atlas Colon Adenocarcinoma (TCGA-COAD), and the GSE87211 dataset. MRNAsi was calculated by one-class logistic regression (OCLR) algorithm. Under the criterion of correlation greater than 0.4, genes related to mRNAsi were screened and clustered. Meanwhile, differentially expressed genes (DEGs) between molecular subtypes were identified to establish a risk model. According to the median risk score value for immunotherapy and results from immune cell infiltration and clinicopathological analyses, clusters and patients were divided into high-RiskScore and low-RiskScore groups. Cell apoptosis and viability were detected by flow cytometer and Cell Counting Kit-8 (CCK-8) assay, respectively. RESULTS: A negative correlation between mRNAsi and clinical stages was observed. Three clusters of patients (C1, C2, and C3) were defined based on a total of 165 survival-related mRNAsi genes. Specifically, C1 patients had greater immune cell infiltration and a poorer prognosis. A 5-mRNAsi-gene signature (HEYL, FSTL3, FABP4, ADAM8, and EBF4) served as a prediction index for COAD prognosis. High-RiskScore patients had a poorer prognosis and higher level of immune cell infiltration. In addition, the five genes in the signature all showed a high expression in COAD cells. Knocking down HEYL promoted COAD cell apoptosis and inhibited viability. CONCLUSION: Our mRNAsi risk model could better predict the prognosis of COAD patients. PeerJ Inc. 2023-11-24 /pmc/articles/PMC10680455/ /pubmed/38025763 http://dx.doi.org/10.7717/peerj.16477 Text en ©2023 Huang 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 Huang, Haifu Lu, Lin Li, Yaoxuan Chen, Xiumei Li, Meng Yang, Meiling Huang, Xuewu Development of a 5-mRNAsi-related gene signature to predict the prognosis of colon adenocarcinoma |
title | Development of a 5-mRNAsi-related gene signature to predict the prognosis of colon adenocarcinoma |
title_full | Development of a 5-mRNAsi-related gene signature to predict the prognosis of colon adenocarcinoma |
title_fullStr | Development of a 5-mRNAsi-related gene signature to predict the prognosis of colon adenocarcinoma |
title_full_unstemmed | Development of a 5-mRNAsi-related gene signature to predict the prognosis of colon adenocarcinoma |
title_short | Development of a 5-mRNAsi-related gene signature to predict the prognosis of colon adenocarcinoma |
title_sort | development of a 5-mrnasi-related gene signature to predict the prognosis of colon adenocarcinoma |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680455/ https://www.ncbi.nlm.nih.gov/pubmed/38025763 http://dx.doi.org/10.7717/peerj.16477 |
work_keys_str_mv | AT huanghaifu developmentofa5mrnasirelatedgenesignaturetopredicttheprognosisofcolonadenocarcinoma AT lulin developmentofa5mrnasirelatedgenesignaturetopredicttheprognosisofcolonadenocarcinoma AT liyaoxuan developmentofa5mrnasirelatedgenesignaturetopredicttheprognosisofcolonadenocarcinoma AT chenxiumei developmentofa5mrnasirelatedgenesignaturetopredicttheprognosisofcolonadenocarcinoma AT limeng developmentofa5mrnasirelatedgenesignaturetopredicttheprognosisofcolonadenocarcinoma AT yangmeiling developmentofa5mrnasirelatedgenesignaturetopredicttheprognosisofcolonadenocarcinoma AT huangxuewu developmentofa5mrnasirelatedgenesignaturetopredicttheprognosisofcolonadenocarcinoma |