Cargando…
An 11-gene signature for the prediction of systemic recurrences in colon adenocarcinoma
BACKGROUND: Prognosis varies among patients within the same colon adenocarcinoma (COAD) stage, indicating the need for reliable molecular markers to enable individualized treatment. This study aimed to investigate gene signatures that can be used for better prognostic prediction of COAD. METHODS: Ge...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560041/ https://www.ncbi.nlm.nih.gov/pubmed/34733531 http://dx.doi.org/10.1093/gastro/goab023 |
_version_ | 1784592866009415680 |
---|---|
author | Cai, Jia-Wei Huang, Xiao-Ming Li, Xiao-Lan Qin, Si Rong, Yu-Ming Chen, Xi Weng, Jing-Rong Zou, Yi-Feng Lin, Xu-Tao |
author_facet | Cai, Jia-Wei Huang, Xiao-Ming Li, Xiao-Lan Qin, Si Rong, Yu-Ming Chen, Xi Weng, Jing-Rong Zou, Yi-Feng Lin, Xu-Tao |
author_sort | Cai, Jia-Wei |
collection | PubMed |
description | BACKGROUND: Prognosis varies among patients within the same colon adenocarcinoma (COAD) stage, indicating the need for reliable molecular markers to enable individualized treatment. This study aimed to investigate gene signatures that can be used for better prognostic prediction of COAD. METHODS: Gene-expression profiles of COAD patients were obtained from the Gene Expression Omnibus database (n = 332) and The Cancer Genome Atlas database (n = 431). The relationship between gene signature and relapse-free survival was analysed in the training set (n = 93) and validated in the internal validation set (n = 94) and external validation sets (n = 145 and 431). RESULTS: Overall, 11 genes (N-myc downstream regulated gene 1 [NDRG1], fms-like tyrosine kinase 1 [FLT1], lipopolysaccharide binding protein [LBP], fatty acid binding protein 4 [FABP4], adiponectin gene [ADIPOQ], angiotensinogen gene [AGT], activin A receptor, type II-like kinase 1 [ACVRL1], CC chemokine ligand 11 [CCL11], cell division cycle 42 [CDC42], T-cell receptor alpha variable 9_2 [TRAV9_2], and proopiomelanocortin [POMC]) were identified by univariable and least absolute shrinkage and selection operator (LASSO) Cox regression analyses. Based on the risk-score model, the patients were grouped into the high-risk or low-risk groups using the median risk score as the cut-off. The area under the curve (AUC) values for 1-, 3-, and 5-year recurrence were 0.970, 0.849, and 0.859, respectively. Patients in the high-risk group had significantly poorer relapse-free survival than did those in the low-risk group. The predictive accuracy of the 11-gene signature was proven in the validation sets. Our gene signature showed better predictive performance for 1-, 3-, and 5-year recurrence than did the other four models. CONCLUSIONS: The 11-gene signature showed good performance in predicting recurrence in COAD. The accuracy of the signature for prognostic classification requires further confirmation. |
format | Online Article Text |
id | pubmed-8560041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85600412021-11-02 An 11-gene signature for the prediction of systemic recurrences in colon adenocarcinoma Cai, Jia-Wei Huang, Xiao-Ming Li, Xiao-Lan Qin, Si Rong, Yu-Ming Chen, Xi Weng, Jing-Rong Zou, Yi-Feng Lin, Xu-Tao Gastroenterol Rep (Oxf) Original Articles BACKGROUND: Prognosis varies among patients within the same colon adenocarcinoma (COAD) stage, indicating the need for reliable molecular markers to enable individualized treatment. This study aimed to investigate gene signatures that can be used for better prognostic prediction of COAD. METHODS: Gene-expression profiles of COAD patients were obtained from the Gene Expression Omnibus database (n = 332) and The Cancer Genome Atlas database (n = 431). The relationship between gene signature and relapse-free survival was analysed in the training set (n = 93) and validated in the internal validation set (n = 94) and external validation sets (n = 145 and 431). RESULTS: Overall, 11 genes (N-myc downstream regulated gene 1 [NDRG1], fms-like tyrosine kinase 1 [FLT1], lipopolysaccharide binding protein [LBP], fatty acid binding protein 4 [FABP4], adiponectin gene [ADIPOQ], angiotensinogen gene [AGT], activin A receptor, type II-like kinase 1 [ACVRL1], CC chemokine ligand 11 [CCL11], cell division cycle 42 [CDC42], T-cell receptor alpha variable 9_2 [TRAV9_2], and proopiomelanocortin [POMC]) were identified by univariable and least absolute shrinkage and selection operator (LASSO) Cox regression analyses. Based on the risk-score model, the patients were grouped into the high-risk or low-risk groups using the median risk score as the cut-off. The area under the curve (AUC) values for 1-, 3-, and 5-year recurrence were 0.970, 0.849, and 0.859, respectively. Patients in the high-risk group had significantly poorer relapse-free survival than did those in the low-risk group. The predictive accuracy of the 11-gene signature was proven in the validation sets. Our gene signature showed better predictive performance for 1-, 3-, and 5-year recurrence than did the other four models. CONCLUSIONS: The 11-gene signature showed good performance in predicting recurrence in COAD. The accuracy of the signature for prognostic classification requires further confirmation. Oxford University Press 2021-08-25 /pmc/articles/PMC8560041/ /pubmed/34733531 http://dx.doi.org/10.1093/gastro/goab023 Text en © The Author(s) 2021. Published by Oxford University Press and Sixth Affiliated Hospital of Sun Yat-sen University https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Cai, Jia-Wei Huang, Xiao-Ming Li, Xiao-Lan Qin, Si Rong, Yu-Ming Chen, Xi Weng, Jing-Rong Zou, Yi-Feng Lin, Xu-Tao An 11-gene signature for the prediction of systemic recurrences in colon adenocarcinoma |
title | An 11-gene signature for the prediction of systemic recurrences in colon adenocarcinoma |
title_full | An 11-gene signature for the prediction of systemic recurrences in colon adenocarcinoma |
title_fullStr | An 11-gene signature for the prediction of systemic recurrences in colon adenocarcinoma |
title_full_unstemmed | An 11-gene signature for the prediction of systemic recurrences in colon adenocarcinoma |
title_short | An 11-gene signature for the prediction of systemic recurrences in colon adenocarcinoma |
title_sort | 11-gene signature for the prediction of systemic recurrences in colon adenocarcinoma |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560041/ https://www.ncbi.nlm.nih.gov/pubmed/34733531 http://dx.doi.org/10.1093/gastro/goab023 |
work_keys_str_mv | AT caijiawei an11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT huangxiaoming an11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT lixiaolan an11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT qinsi an11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT rongyuming an11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT chenxi an11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT wengjingrong an11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT zouyifeng an11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT linxutao an11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT caijiawei 11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT huangxiaoming 11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT lixiaolan 11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT qinsi 11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT rongyuming 11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT chenxi 11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT wengjingrong 11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT zouyifeng 11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma AT linxutao 11genesignatureforthepredictionofsystemicrecurrencesincolonadenocarcinoma |