Cargando…

Hematopoietic Gene Expression Regulation Through m(6)A Methylation Predicts Prognosis in Stage III Colorectal Cancer

BACKGROUND: Methylation of N6 adenosine (m(6)A) plays important regulatory roles in diverse biological processes. The purpose of this research was to explore the potential mechanism of m(6)A modification level on the clinical outcome of stage III colorectal cancer (CRC). METHODS: Gene set variation...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Zheng, Mo, Shaobo, Gu, Ruiqi, Dai, Weixing, Zou, Xinhui, Han, Lingyu, Zhang, Long, Wang, Renjie, Cai, Guoxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556240/
https://www.ncbi.nlm.nih.gov/pubmed/33102231
http://dx.doi.org/10.3389/fonc.2020.572708
_version_ 1783594182708822016
author Zhou, Zheng
Mo, Shaobo
Gu, Ruiqi
Dai, Weixing
Zou, Xinhui
Han, Lingyu
Zhang, Long
Wang, Renjie
Cai, Guoxiang
author_facet Zhou, Zheng
Mo, Shaobo
Gu, Ruiqi
Dai, Weixing
Zou, Xinhui
Han, Lingyu
Zhang, Long
Wang, Renjie
Cai, Guoxiang
author_sort Zhou, Zheng
collection PubMed
description BACKGROUND: Methylation of N6 adenosine (m(6)A) plays important regulatory roles in diverse biological processes. The purpose of this research was to explore the potential mechanism of m(6)A modification level on the clinical outcome of stage III colorectal cancer (CRC). METHODS: Gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were adopted to reveal the signal pathway which was most likely affected by m(6)A methylation. The linear models for microarray data (LIMMA) method and the least absolute shrink-age and selection operator (LASSO) Cox regression model were used to identify the signature. The signature can sensitively separate the patients into high and low risk indicating the relapse-free survival (RFS) time based on time-dependent receiver operating characteristic (ROC) analysis. Then, the multi-gene signature was validated in GSE14333 and the Cancer Genome Atlas (TCGA) cohort. The number of the samples in GSE14333 and TCGA cohort are 63 and 150. Finally, two nomograms were set up and validated to predict prognosis of patients with stage III CRC. RESULTS: The hematopoietic cell lineage (HCL) signaling pathway was disclosed through GSEA and GSVA. Seven HCL-related genes were determined in the LASSO model to construct signature, with AUC 0.663, 0.708, and 0.703 at 1-, 3-, and 5-year RFS, respectively. Independent datasets analysis and stratification analysis indicated that the HCL-related signature was reliable in distinguishing high- and low-risk stage III CRC patients. Two nomograms incorporating the signature and pathological N stage were set up, which yielded good discrimination and calibration in the predictions of prognosis for stage III CRC patients. CONCLUSIONS: A novel HCL-related signature was developed as a predictive model for survival rate of stage III CRC patients. Nomograms based on the signature were advantageous to facilitate personalized counseling and treatment in stage III CRC.
format Online
Article
Text
id pubmed-7556240
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-75562402020-10-22 Hematopoietic Gene Expression Regulation Through m(6)A Methylation Predicts Prognosis in Stage III Colorectal Cancer Zhou, Zheng Mo, Shaobo Gu, Ruiqi Dai, Weixing Zou, Xinhui Han, Lingyu Zhang, Long Wang, Renjie Cai, Guoxiang Front Oncol Oncology BACKGROUND: Methylation of N6 adenosine (m(6)A) plays important regulatory roles in diverse biological processes. The purpose of this research was to explore the potential mechanism of m(6)A modification level on the clinical outcome of stage III colorectal cancer (CRC). METHODS: Gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were adopted to reveal the signal pathway which was most likely affected by m(6)A methylation. The linear models for microarray data (LIMMA) method and the least absolute shrink-age and selection operator (LASSO) Cox regression model were used to identify the signature. The signature can sensitively separate the patients into high and low risk indicating the relapse-free survival (RFS) time based on time-dependent receiver operating characteristic (ROC) analysis. Then, the multi-gene signature was validated in GSE14333 and the Cancer Genome Atlas (TCGA) cohort. The number of the samples in GSE14333 and TCGA cohort are 63 and 150. Finally, two nomograms were set up and validated to predict prognosis of patients with stage III CRC. RESULTS: The hematopoietic cell lineage (HCL) signaling pathway was disclosed through GSEA and GSVA. Seven HCL-related genes were determined in the LASSO model to construct signature, with AUC 0.663, 0.708, and 0.703 at 1-, 3-, and 5-year RFS, respectively. Independent datasets analysis and stratification analysis indicated that the HCL-related signature was reliable in distinguishing high- and low-risk stage III CRC patients. Two nomograms incorporating the signature and pathological N stage were set up, which yielded good discrimination and calibration in the predictions of prognosis for stage III CRC patients. CONCLUSIONS: A novel HCL-related signature was developed as a predictive model for survival rate of stage III CRC patients. Nomograms based on the signature were advantageous to facilitate personalized counseling and treatment in stage III CRC. Frontiers Media S.A. 2020-09-30 /pmc/articles/PMC7556240/ /pubmed/33102231 http://dx.doi.org/10.3389/fonc.2020.572708 Text en Copyright © 2020 Zhou, Mo, Gu, Dai, Zou, Han, Zhang, Wang and Cai. http://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
Zhou, Zheng
Mo, Shaobo
Gu, Ruiqi
Dai, Weixing
Zou, Xinhui
Han, Lingyu
Zhang, Long
Wang, Renjie
Cai, Guoxiang
Hematopoietic Gene Expression Regulation Through m(6)A Methylation Predicts Prognosis in Stage III Colorectal Cancer
title Hematopoietic Gene Expression Regulation Through m(6)A Methylation Predicts Prognosis in Stage III Colorectal Cancer
title_full Hematopoietic Gene Expression Regulation Through m(6)A Methylation Predicts Prognosis in Stage III Colorectal Cancer
title_fullStr Hematopoietic Gene Expression Regulation Through m(6)A Methylation Predicts Prognosis in Stage III Colorectal Cancer
title_full_unstemmed Hematopoietic Gene Expression Regulation Through m(6)A Methylation Predicts Prognosis in Stage III Colorectal Cancer
title_short Hematopoietic Gene Expression Regulation Through m(6)A Methylation Predicts Prognosis in Stage III Colorectal Cancer
title_sort hematopoietic gene expression regulation through m(6)a methylation predicts prognosis in stage iii colorectal cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556240/
https://www.ncbi.nlm.nih.gov/pubmed/33102231
http://dx.doi.org/10.3389/fonc.2020.572708
work_keys_str_mv AT zhouzheng hematopoieticgeneexpressionregulationthroughm6amethylationpredictsprognosisinstageiiicolorectalcancer
AT moshaobo hematopoieticgeneexpressionregulationthroughm6amethylationpredictsprognosisinstageiiicolorectalcancer
AT guruiqi hematopoieticgeneexpressionregulationthroughm6amethylationpredictsprognosisinstageiiicolorectalcancer
AT daiweixing hematopoieticgeneexpressionregulationthroughm6amethylationpredictsprognosisinstageiiicolorectalcancer
AT zouxinhui hematopoieticgeneexpressionregulationthroughm6amethylationpredictsprognosisinstageiiicolorectalcancer
AT hanlingyu hematopoieticgeneexpressionregulationthroughm6amethylationpredictsprognosisinstageiiicolorectalcancer
AT zhanglong hematopoieticgeneexpressionregulationthroughm6amethylationpredictsprognosisinstageiiicolorectalcancer
AT wangrenjie hematopoieticgeneexpressionregulationthroughm6amethylationpredictsprognosisinstageiiicolorectalcancer
AT caiguoxiang hematopoieticgeneexpressionregulationthroughm6amethylationpredictsprognosisinstageiiicolorectalcancer