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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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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 |
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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 |
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