Cargando…

A prognostic 10‐lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients

Breast cancer is one of the most frequently diagnosed malignancies and a leading cause of cancer death among females. Multiple molecular alterations are observed in breast cancer. LncRNA transcripts were proved to play important roles in the biology of tumorigenesis. In this study, we aimed to ident...

Descripción completa

Detalles Bibliográficos
Autores principales: Tang, Jianing, Ren, Jiangbo, Cui, Qiuxia, Zhang, Dan, Kong, Deguang, Liao, Xing, Lu, Mengxin, Gong, Yan, Wu, Gaosong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787455/
https://www.ncbi.nlm.nih.gov/pubmed/31429520
http://dx.doi.org/10.1111/jcmm.14556
_version_ 1783458265303089152
author Tang, Jianing
Ren, Jiangbo
Cui, Qiuxia
Zhang, Dan
Kong, Deguang
Liao, Xing
Lu, Mengxin
Gong, Yan
Wu, Gaosong
author_facet Tang, Jianing
Ren, Jiangbo
Cui, Qiuxia
Zhang, Dan
Kong, Deguang
Liao, Xing
Lu, Mengxin
Gong, Yan
Wu, Gaosong
author_sort Tang, Jianing
collection PubMed
description Breast cancer is one of the most frequently diagnosed malignancies and a leading cause of cancer death among females. Multiple molecular alterations are observed in breast cancer. LncRNA transcripts were proved to play important roles in the biology of tumorigenesis. In this study, we aimed to identify lncRNA expression signature that can predict breast cancer patient survival. We developed a 10‐lncRNA signature‐based risk score which was used to separate patients into high‐risk and low‐risk groups. Patients in the low‐risk group had significantly better survival than those in the high‐risk group. Receiver operating characteristic analysis indicated that this signature exhibited excellent diagnostic efficiency for 1‐, 3‐ and 5‐year disease‐relapse events. Moreover, multivariate Cox regression analysis demonstrated that this 10‐lncRNA signature was an independent risk factor when adjusting for several clinical signatures such as age, tumour size and lymph node status. The prognostic value of risk scores was validated in the validation set. In addition, a nomogram was established and the calibration plots analysis indicated the good performance and clinical utility of the nomogram. In conclusion, our results demonstrated that this 10‐lncRNA signature effectively grouped patients at low and high risk of disease recurrence.
format Online
Article
Text
id pubmed-6787455
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-67874552019-10-17 A prognostic 10‐lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients Tang, Jianing Ren, Jiangbo Cui, Qiuxia Zhang, Dan Kong, Deguang Liao, Xing Lu, Mengxin Gong, Yan Wu, Gaosong J Cell Mol Med Original Articles Breast cancer is one of the most frequently diagnosed malignancies and a leading cause of cancer death among females. Multiple molecular alterations are observed in breast cancer. LncRNA transcripts were proved to play important roles in the biology of tumorigenesis. In this study, we aimed to identify lncRNA expression signature that can predict breast cancer patient survival. We developed a 10‐lncRNA signature‐based risk score which was used to separate patients into high‐risk and low‐risk groups. Patients in the low‐risk group had significantly better survival than those in the high‐risk group. Receiver operating characteristic analysis indicated that this signature exhibited excellent diagnostic efficiency for 1‐, 3‐ and 5‐year disease‐relapse events. Moreover, multivariate Cox regression analysis demonstrated that this 10‐lncRNA signature was an independent risk factor when adjusting for several clinical signatures such as age, tumour size and lymph node status. The prognostic value of risk scores was validated in the validation set. In addition, a nomogram was established and the calibration plots analysis indicated the good performance and clinical utility of the nomogram. In conclusion, our results demonstrated that this 10‐lncRNA signature effectively grouped patients at low and high risk of disease recurrence. John Wiley and Sons Inc. 2019-08-20 2019-10 /pmc/articles/PMC6787455/ /pubmed/31429520 http://dx.doi.org/10.1111/jcmm.14556 Text en © 2019 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Tang, Jianing
Ren, Jiangbo
Cui, Qiuxia
Zhang, Dan
Kong, Deguang
Liao, Xing
Lu, Mengxin
Gong, Yan
Wu, Gaosong
A prognostic 10‐lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients
title A prognostic 10‐lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients
title_full A prognostic 10‐lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients
title_fullStr A prognostic 10‐lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients
title_full_unstemmed A prognostic 10‐lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients
title_short A prognostic 10‐lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients
title_sort prognostic 10‐lncrna expression signature for predicting the risk of tumour recurrence in breast cancer patients
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787455/
https://www.ncbi.nlm.nih.gov/pubmed/31429520
http://dx.doi.org/10.1111/jcmm.14556
work_keys_str_mv AT tangjianing aprognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT renjiangbo aprognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT cuiqiuxia aprognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT zhangdan aprognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT kongdeguang aprognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT liaoxing aprognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT lumengxin aprognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT gongyan aprognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT wugaosong aprognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT tangjianing prognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT renjiangbo prognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT cuiqiuxia prognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT zhangdan prognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT kongdeguang prognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT liaoxing prognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT lumengxin prognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT gongyan prognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients
AT wugaosong prognostic10lncrnaexpressionsignatureforpredictingtheriskoftumourrecurrenceinbreastcancerpatients