Cargando…

A two-microRNA-based signature predicts first-line chemotherapy outcomes in advanced colorectal cancer patients

Prognostic and predictive markers are needed to predict the clinical outcomes of patients with advanced colorectal cancer (CRC) who receive standard first-line treatments. We performed a prospective cohort study in advanced CRC patients to identify a miRNA signature that could predict the benefit of...

Descripción completa

Detalles Bibliográficos
Autores principales: Lu, Jia-huan, Zuo, Zhi-xiang, Wang, Wei, Zhao, Qi, Qiu, Miao-zhen, Luo, Hui-yan, Chen, Zhan-hong, Mo, Hai-yu, Wang, Feng, Yang, Dong-dong, Wang, Yun, Wei, Xiao-li, Wu, Qi-nian, Ju, Huai-qiang, Xu, Rui-hua, Zeng, Zhao-lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299080/
https://www.ncbi.nlm.nih.gov/pubmed/30588338
http://dx.doi.org/10.1038/s41420-018-0133-7
_version_ 1783381412985962496
author Lu, Jia-huan
Zuo, Zhi-xiang
Wang, Wei
Zhao, Qi
Qiu, Miao-zhen
Luo, Hui-yan
Chen, Zhan-hong
Mo, Hai-yu
Wang, Feng
Yang, Dong-dong
Wang, Yun
Wei, Xiao-li
Wu, Qi-nian
Ju, Huai-qiang
Xu, Rui-hua
Zeng, Zhao-lei
author_facet Lu, Jia-huan
Zuo, Zhi-xiang
Wang, Wei
Zhao, Qi
Qiu, Miao-zhen
Luo, Hui-yan
Chen, Zhan-hong
Mo, Hai-yu
Wang, Feng
Yang, Dong-dong
Wang, Yun
Wei, Xiao-li
Wu, Qi-nian
Ju, Huai-qiang
Xu, Rui-hua
Zeng, Zhao-lei
author_sort Lu, Jia-huan
collection PubMed
description Prognostic and predictive markers are needed to predict the clinical outcomes of patients with advanced colorectal cancer (CRC) who receive standard first-line treatments. We performed a prospective cohort study in advanced CRC patients to identify a miRNA signature that could predict the benefit of receiving first-line chemotherapy for these patients. Twenty-one paired tumours and adjacent normal tissues were collected from advanced CRC patients and analysed by miRNA microarrays. Between tumour and normal tissues, 33 miRNAs were differentially expressed and was confirmed by qRT-PCR from another group of 67 patients from a prospective cohort study. A two-miRNA-based signature was obtained using the LASSO Cox regression model based on the association between the expression of each miRNA and the PFS of individual patients. Internal and external validation cohorts, including 40 and 44 patients with advanced CRC, respectively, were performed to prove the prognostic and predictive value of this signature. A signature was built based on two miRNAs, miR-125b-2-3p and miR-933. CRC patients were classified into low- and high-risk groups for disease progression based on this tool. The patients with low risk scores generally had better PFS than those with high risk scores. In the training set, the median PFS in the low- and high-risk groups were 12.00 and 7.40 months, respectively. In the internal validation set, the median PFS in the low- and high-risk groups were 9.90 and 5.10 months, respectively. In the external validation set, the median PFS in the low- and high-risk groups were 9.90 and 6.40 months, respectively. Furthermore, we detected miR-125b-2-3p associated with CRC cell sensitivity to first-line chemotherapy. Our two-miRNA-based signature was a reliable prognostic and predictive tool for tumour progression in patients with advanced CRC, and might be able to predict the benefit of receiving standard first-line chemotherapy in CRC.
format Online
Article
Text
id pubmed-6299080
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-62990802018-12-26 A two-microRNA-based signature predicts first-line chemotherapy outcomes in advanced colorectal cancer patients Lu, Jia-huan Zuo, Zhi-xiang Wang, Wei Zhao, Qi Qiu, Miao-zhen Luo, Hui-yan Chen, Zhan-hong Mo, Hai-yu Wang, Feng Yang, Dong-dong Wang, Yun Wei, Xiao-li Wu, Qi-nian Ju, Huai-qiang Xu, Rui-hua Zeng, Zhao-lei Cell Death Discov Article Prognostic and predictive markers are needed to predict the clinical outcomes of patients with advanced colorectal cancer (CRC) who receive standard first-line treatments. We performed a prospective cohort study in advanced CRC patients to identify a miRNA signature that could predict the benefit of receiving first-line chemotherapy for these patients. Twenty-one paired tumours and adjacent normal tissues were collected from advanced CRC patients and analysed by miRNA microarrays. Between tumour and normal tissues, 33 miRNAs were differentially expressed and was confirmed by qRT-PCR from another group of 67 patients from a prospective cohort study. A two-miRNA-based signature was obtained using the LASSO Cox regression model based on the association between the expression of each miRNA and the PFS of individual patients. Internal and external validation cohorts, including 40 and 44 patients with advanced CRC, respectively, were performed to prove the prognostic and predictive value of this signature. A signature was built based on two miRNAs, miR-125b-2-3p and miR-933. CRC patients were classified into low- and high-risk groups for disease progression based on this tool. The patients with low risk scores generally had better PFS than those with high risk scores. In the training set, the median PFS in the low- and high-risk groups were 12.00 and 7.40 months, respectively. In the internal validation set, the median PFS in the low- and high-risk groups were 9.90 and 5.10 months, respectively. In the external validation set, the median PFS in the low- and high-risk groups were 9.90 and 6.40 months, respectively. Furthermore, we detected miR-125b-2-3p associated with CRC cell sensitivity to first-line chemotherapy. Our two-miRNA-based signature was a reliable prognostic and predictive tool for tumour progression in patients with advanced CRC, and might be able to predict the benefit of receiving standard first-line chemotherapy in CRC. Nature Publishing Group UK 2018-12-18 /pmc/articles/PMC6299080/ /pubmed/30588338 http://dx.doi.org/10.1038/s41420-018-0133-7 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lu, Jia-huan
Zuo, Zhi-xiang
Wang, Wei
Zhao, Qi
Qiu, Miao-zhen
Luo, Hui-yan
Chen, Zhan-hong
Mo, Hai-yu
Wang, Feng
Yang, Dong-dong
Wang, Yun
Wei, Xiao-li
Wu, Qi-nian
Ju, Huai-qiang
Xu, Rui-hua
Zeng, Zhao-lei
A two-microRNA-based signature predicts first-line chemotherapy outcomes in advanced colorectal cancer patients
title A two-microRNA-based signature predicts first-line chemotherapy outcomes in advanced colorectal cancer patients
title_full A two-microRNA-based signature predicts first-line chemotherapy outcomes in advanced colorectal cancer patients
title_fullStr A two-microRNA-based signature predicts first-line chemotherapy outcomes in advanced colorectal cancer patients
title_full_unstemmed A two-microRNA-based signature predicts first-line chemotherapy outcomes in advanced colorectal cancer patients
title_short A two-microRNA-based signature predicts first-line chemotherapy outcomes in advanced colorectal cancer patients
title_sort two-microrna-based signature predicts first-line chemotherapy outcomes in advanced colorectal cancer patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299080/
https://www.ncbi.nlm.nih.gov/pubmed/30588338
http://dx.doi.org/10.1038/s41420-018-0133-7
work_keys_str_mv AT lujiahuan atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT zuozhixiang atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT wangwei atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT zhaoqi atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT qiumiaozhen atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT luohuiyan atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT chenzhanhong atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT mohaiyu atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT wangfeng atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT yangdongdong atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT wangyun atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT weixiaoli atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT wuqinian atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT juhuaiqiang atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT xuruihua atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT zengzhaolei atwomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT lujiahuan twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT zuozhixiang twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT wangwei twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT zhaoqi twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT qiumiaozhen twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT luohuiyan twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT chenzhanhong twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT mohaiyu twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT wangfeng twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT yangdongdong twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT wangyun twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT weixiaoli twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT wuqinian twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT juhuaiqiang twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT xuruihua twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients
AT zengzhaolei twomicrornabasedsignaturepredictsfirstlinechemotherapyoutcomesinadvancedcolorectalcancerpatients