Cargando…
A Novel TCGA-Validated, MiRNA-Based Signature for Prediction of Breast Cancer Prognosis and Survival
Breast cancer (BC) is the most common cancer affecting women and the leading cause of cancer-related deaths worldwide. Compelling evidence indicates that microRNAs (miRNAs) are inextricably involved in the development of cancer. Here, we constructed a novel model, based on miRNA-seq and clinical dat...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473752/ https://www.ncbi.nlm.nih.gov/pubmed/34589485 http://dx.doi.org/10.3389/fcell.2021.717462 |
_version_ | 1784575061552791552 |
---|---|
author | Tian, Baoxing Hou, Mengjie Zhou, Kun Qiu, Xia Du, Yibao Gu, Yifan Yin, Xiaoxing Wang, Jie |
author_facet | Tian, Baoxing Hou, Mengjie Zhou, Kun Qiu, Xia Du, Yibao Gu, Yifan Yin, Xiaoxing Wang, Jie |
author_sort | Tian, Baoxing |
collection | PubMed |
description | Breast cancer (BC) is the most common cancer affecting women and the leading cause of cancer-related deaths worldwide. Compelling evidence indicates that microRNAs (miRNAs) are inextricably involved in the development of cancer. Here, we constructed a novel model, based on miRNA-seq and clinical data downloaded from The Cancer Genome Atlas (TCGA). Data from a total of 962 patients were included in this study, and the relationships among their clinicopathological features, survival, and miRNA-seq expression levels were analyzed. Hsa-miR-186 and hsa-miR-361 were identified as internal reference miRNAs and used to normalize miRNA expression data. A five-miRNA signature, constructed using univariate and multivariate Cox regression, was significantly associated with disease-specific survival (DSS) of patients with BC. Kaplan–Meier (KM) and receiver operating characteristic (ROC) analyses were conducted to confirm the clinical significance of the five-miRNA signature. Finally, a nomogram was constructed based on the five-miRNA signature to evaluate its clinical value. Cox regression analysis revealed that a five-miRNA signature was significantly associated with DSS of patients with BC. KM analysis demonstrated that the signature could efficiently distinguish high- and low-risk patients. Moreover, ROC analysis showed that the five-miRNA signature exhibited high sensitivity and specificity in predicting the prognosis of patients with BC. Patients in the high-risk subgroup who received adjuvant chemotherapy had a significantly lower incidence of mortality than those who did not. A nomogram constructed based on the five-miRNA signature was effective in predicting 5-year DSS. This study presents a novel five-miRNA signature as a reliable prognostic tool to predict DSS and provide theoretical reference significance for individualized clinical decisions for patients with BC. |
format | Online Article Text |
id | pubmed-8473752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84737522021-09-28 A Novel TCGA-Validated, MiRNA-Based Signature for Prediction of Breast Cancer Prognosis and Survival Tian, Baoxing Hou, Mengjie Zhou, Kun Qiu, Xia Du, Yibao Gu, Yifan Yin, Xiaoxing Wang, Jie Front Cell Dev Biol Cell and Developmental Biology Breast cancer (BC) is the most common cancer affecting women and the leading cause of cancer-related deaths worldwide. Compelling evidence indicates that microRNAs (miRNAs) are inextricably involved in the development of cancer. Here, we constructed a novel model, based on miRNA-seq and clinical data downloaded from The Cancer Genome Atlas (TCGA). Data from a total of 962 patients were included in this study, and the relationships among their clinicopathological features, survival, and miRNA-seq expression levels were analyzed. Hsa-miR-186 and hsa-miR-361 were identified as internal reference miRNAs and used to normalize miRNA expression data. A five-miRNA signature, constructed using univariate and multivariate Cox regression, was significantly associated with disease-specific survival (DSS) of patients with BC. Kaplan–Meier (KM) and receiver operating characteristic (ROC) analyses were conducted to confirm the clinical significance of the five-miRNA signature. Finally, a nomogram was constructed based on the five-miRNA signature to evaluate its clinical value. Cox regression analysis revealed that a five-miRNA signature was significantly associated with DSS of patients with BC. KM analysis demonstrated that the signature could efficiently distinguish high- and low-risk patients. Moreover, ROC analysis showed that the five-miRNA signature exhibited high sensitivity and specificity in predicting the prognosis of patients with BC. Patients in the high-risk subgroup who received adjuvant chemotherapy had a significantly lower incidence of mortality than those who did not. A nomogram constructed based on the five-miRNA signature was effective in predicting 5-year DSS. This study presents a novel five-miRNA signature as a reliable prognostic tool to predict DSS and provide theoretical reference significance for individualized clinical decisions for patients with BC. Frontiers Media S.A. 2021-09-13 /pmc/articles/PMC8473752/ /pubmed/34589485 http://dx.doi.org/10.3389/fcell.2021.717462 Text en Copyright © 2021 Tian, Hou, Zhou, Qiu, Du, Gu, Yin and Wang. 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 | Cell and Developmental Biology Tian, Baoxing Hou, Mengjie Zhou, Kun Qiu, Xia Du, Yibao Gu, Yifan Yin, Xiaoxing Wang, Jie A Novel TCGA-Validated, MiRNA-Based Signature for Prediction of Breast Cancer Prognosis and Survival |
title | A Novel TCGA-Validated, MiRNA-Based Signature for Prediction of Breast Cancer Prognosis and Survival |
title_full | A Novel TCGA-Validated, MiRNA-Based Signature for Prediction of Breast Cancer Prognosis and Survival |
title_fullStr | A Novel TCGA-Validated, MiRNA-Based Signature for Prediction of Breast Cancer Prognosis and Survival |
title_full_unstemmed | A Novel TCGA-Validated, MiRNA-Based Signature for Prediction of Breast Cancer Prognosis and Survival |
title_short | A Novel TCGA-Validated, MiRNA-Based Signature for Prediction of Breast Cancer Prognosis and Survival |
title_sort | novel tcga-validated, mirna-based signature for prediction of breast cancer prognosis and survival |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473752/ https://www.ncbi.nlm.nih.gov/pubmed/34589485 http://dx.doi.org/10.3389/fcell.2021.717462 |
work_keys_str_mv | AT tianbaoxing anoveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT houmengjie anoveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT zhoukun anoveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT qiuxia anoveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT duyibao anoveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT guyifan anoveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT yinxiaoxing anoveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT wangjie anoveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT tianbaoxing noveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT houmengjie noveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT zhoukun noveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT qiuxia noveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT duyibao noveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT guyifan noveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT yinxiaoxing noveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival AT wangjie noveltcgavalidatedmirnabasedsignatureforpredictionofbreastcancerprognosisandsurvival |