Cargando…
Construction of a DDR-related signature for predicting of prognosis in metastatic colorectal carcinoma
BACKGROUND: Colorectal cancer (CRC) is the third most prevalent malignancy and the one of most lethal cancer. Metastatic CRC (mCRC) is the third most common cause of cancer deaths worldwide. DNA damage response (DDR) genes are closely associated with the tumorigenesis and development of CRC. In this...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931195/ https://www.ncbi.nlm.nih.gov/pubmed/36816926 http://dx.doi.org/10.3389/fonc.2023.1043160 |
_version_ | 1784889195166171136 |
---|---|
author | Wei, Maohua Su, Junyan Zhang, Jiali Liu, Siyao Ma, Jia Meng, Xiang peng |
author_facet | Wei, Maohua Su, Junyan Zhang, Jiali Liu, Siyao Ma, Jia Meng, Xiang peng |
author_sort | Wei, Maohua |
collection | PubMed |
description | BACKGROUND: Colorectal cancer (CRC) is the third most prevalent malignancy and the one of most lethal cancer. Metastatic CRC (mCRC) is the third most common cause of cancer deaths worldwide. DNA damage response (DDR) genes are closely associated with the tumorigenesis and development of CRC. In this study, we aimed to construct a DDR-related gene signature for predicting the prognosis of mCRC patients. METHODS: The gene expression and corresponding clinical information data of CRC/mCRC patients were obtained from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. A prognostic model was obtained and termed DDRScore by the multivariate Cox proportional hazards regression in the patients with mCRC. The Kaplan-Meier (K-M) and Receiver Operating Characteristic (ROC) curves were employed to validate the predictive ability of the prognostic model. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were performed for patients between the high-DDRscore and low-DDRscore groups. RESULTS: We constructed a prognostic model consisting of four DDR-related genes (EME2, MSH4, MLH3, and SPO11). Survival analysis showed that patients in the high-DDRscore group had a significantly worse OS than those in the low-DDRscore group. The area under the curve (AUC) value of the ROC curve of the predictive model is 0.763 in the training cohort GSE72970, 0.659 in the stage III/IV colorectal cancer (CRC) patients from The Cancer Genome Atlas (TCGA) data portal, and 0.639 in another validation cohort GSE39582, respectively. GSEA functional analysis revealed that the most significantly enriched pathways focused on nucleotide excision repair, base excision repair, homologous recombination, cytokine receptor interaction, chemokine signal pathway, cell adhesion molecules cams, ECM-receptor interaction, and focal adhesion. CONCLUSION: The DDRscore was identified as an independent prognostic and therapy response predictor, and the DDR-related genes may be potential diagnosis or prognosis biomarkers for mCRC patients. |
format | Online Article Text |
id | pubmed-9931195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99311952023-02-16 Construction of a DDR-related signature for predicting of prognosis in metastatic colorectal carcinoma Wei, Maohua Su, Junyan Zhang, Jiali Liu, Siyao Ma, Jia Meng, Xiang peng Front Oncol Oncology BACKGROUND: Colorectal cancer (CRC) is the third most prevalent malignancy and the one of most lethal cancer. Metastatic CRC (mCRC) is the third most common cause of cancer deaths worldwide. DNA damage response (DDR) genes are closely associated with the tumorigenesis and development of CRC. In this study, we aimed to construct a DDR-related gene signature for predicting the prognosis of mCRC patients. METHODS: The gene expression and corresponding clinical information data of CRC/mCRC patients were obtained from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. A prognostic model was obtained and termed DDRScore by the multivariate Cox proportional hazards regression in the patients with mCRC. The Kaplan-Meier (K-M) and Receiver Operating Characteristic (ROC) curves were employed to validate the predictive ability of the prognostic model. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were performed for patients between the high-DDRscore and low-DDRscore groups. RESULTS: We constructed a prognostic model consisting of four DDR-related genes (EME2, MSH4, MLH3, and SPO11). Survival analysis showed that patients in the high-DDRscore group had a significantly worse OS than those in the low-DDRscore group. The area under the curve (AUC) value of the ROC curve of the predictive model is 0.763 in the training cohort GSE72970, 0.659 in the stage III/IV colorectal cancer (CRC) patients from The Cancer Genome Atlas (TCGA) data portal, and 0.639 in another validation cohort GSE39582, respectively. GSEA functional analysis revealed that the most significantly enriched pathways focused on nucleotide excision repair, base excision repair, homologous recombination, cytokine receptor interaction, chemokine signal pathway, cell adhesion molecules cams, ECM-receptor interaction, and focal adhesion. CONCLUSION: The DDRscore was identified as an independent prognostic and therapy response predictor, and the DDR-related genes may be potential diagnosis or prognosis biomarkers for mCRC patients. Frontiers Media S.A. 2023-02-01 /pmc/articles/PMC9931195/ /pubmed/36816926 http://dx.doi.org/10.3389/fonc.2023.1043160 Text en Copyright © 2023 Wei, Su, Zhang, Liu, Ma and Meng 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 Wei, Maohua Su, Junyan Zhang, Jiali Liu, Siyao Ma, Jia Meng, Xiang peng Construction of a DDR-related signature for predicting of prognosis in metastatic colorectal carcinoma |
title | Construction of a DDR-related signature for predicting of prognosis in metastatic colorectal carcinoma |
title_full | Construction of a DDR-related signature for predicting of prognosis in metastatic colorectal carcinoma |
title_fullStr | Construction of a DDR-related signature for predicting of prognosis in metastatic colorectal carcinoma |
title_full_unstemmed | Construction of a DDR-related signature for predicting of prognosis in metastatic colorectal carcinoma |
title_short | Construction of a DDR-related signature for predicting of prognosis in metastatic colorectal carcinoma |
title_sort | construction of a ddr-related signature for predicting of prognosis in metastatic colorectal carcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931195/ https://www.ncbi.nlm.nih.gov/pubmed/36816926 http://dx.doi.org/10.3389/fonc.2023.1043160 |
work_keys_str_mv | AT weimaohua constructionofaddrrelatedsignatureforpredictingofprognosisinmetastaticcolorectalcarcinoma AT sujunyan constructionofaddrrelatedsignatureforpredictingofprognosisinmetastaticcolorectalcarcinoma AT zhangjiali constructionofaddrrelatedsignatureforpredictingofprognosisinmetastaticcolorectalcarcinoma AT liusiyao constructionofaddrrelatedsignatureforpredictingofprognosisinmetastaticcolorectalcarcinoma AT majia constructionofaddrrelatedsignatureforpredictingofprognosisinmetastaticcolorectalcarcinoma AT mengxiangpeng constructionofaddrrelatedsignatureforpredictingofprognosisinmetastaticcolorectalcarcinoma |