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...
Autores principales: | , , , , , , , , |
---|---|
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 |