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Identification of miRNA-Based Signature as a Novel Potential Prognostic Biomarker in Patients with Breast Cancer

To identify the novel, noninvasive biomarkers to assess the outcome and prognosis of breast cancer (BC), patients with high sensitivity and specificity are greatly desired. Herein, the miRNA expression profile and matched clinical features of BC patients were extracted from The Cancer Genome Atlas (...

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Autores principales: Tang, Jia, Ma, Wei, Zeng, Qinlong, Tan, Jieliang, Cao, Keshen, Luo, Liangping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954483/
https://www.ncbi.nlm.nih.gov/pubmed/31976020
http://dx.doi.org/10.1155/2019/3815952
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author Tang, Jia
Ma, Wei
Zeng, Qinlong
Tan, Jieliang
Cao, Keshen
Luo, Liangping
author_facet Tang, Jia
Ma, Wei
Zeng, Qinlong
Tan, Jieliang
Cao, Keshen
Luo, Liangping
author_sort Tang, Jia
collection PubMed
description To identify the novel, noninvasive biomarkers to assess the outcome and prognosis of breast cancer (BC), patients with high sensitivity and specificity are greatly desired. Herein, the miRNA expression profile and matched clinical features of BC patients were extracted from The Cancer Genome Atlas (TCGA) database. The preliminary candidates were screened out by the univariate Cox regression test. Then, with the help of LASSO Cox regression analysis, the hsa-let-7b, hsa-mir-101-2, hsa-mir-135a-2, hsa-mir-22, hsa-mir-30a, hsa-mir-31, hsa-mir-3130-1, hsa-mir-320b-1, hsa-mir-3678, hsa-mir-4662a, hsa-mir-4772, hsa-mir-493, hsa-mir-556, hsa-mir-652, hsa-mir-6733, hsa-mir-874, and hsa-mir-9-3 were selected to construct the overall survival (OS) predicting signature, while the hsa-mir-130a, hsa-mir-204, hsa-mir-217, hsa-mir-223, hsa-mir-24-2, hsa-mir-29b-1, hsa-mir-363, hsa-mir-5001, hsa-mir-514a-1, hsa-mir-624, hsa-mir-639, hsa-mir-659, and hsa-mir-6892 were adopted to establish the recurrence-free survival (RFS) predicting signature. Referring to the median risk scores generated by the OS and RFS formulas, respectively, subgroup patients with high risk were strongly related to a poor OS and RFS revealed by Kaplan-Meier (K-M) plots. Meanwhile, receiver operating curve (ROC) analysis validated the accuracy and stability of these two signatures. When stratified by clinical features, such as tumor stage, age, and molecular subtypes, we found that the miRNA-based OS and RFS classifiers were still significant in predicting OS/RFS and showed the best predictive values than any other features. Besides, functional prediction analyses showed that these targeted genes of the enrolled miRNAs were enriched in cancer-associated pathways, such as MAPK/RTK, Ras, and PI3K-Akt signaling pathways. In summary, our observations demonstrate that the novel miRNA-based OS and RFS signatures are independent prognostic indicators for BC patients and worthy to be validated by further prospective studies.
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spelling pubmed-69544832020-01-23 Identification of miRNA-Based Signature as a Novel Potential Prognostic Biomarker in Patients with Breast Cancer Tang, Jia Ma, Wei Zeng, Qinlong Tan, Jieliang Cao, Keshen Luo, Liangping Dis Markers Research Article To identify the novel, noninvasive biomarkers to assess the outcome and prognosis of breast cancer (BC), patients with high sensitivity and specificity are greatly desired. Herein, the miRNA expression profile and matched clinical features of BC patients were extracted from The Cancer Genome Atlas (TCGA) database. The preliminary candidates were screened out by the univariate Cox regression test. Then, with the help of LASSO Cox regression analysis, the hsa-let-7b, hsa-mir-101-2, hsa-mir-135a-2, hsa-mir-22, hsa-mir-30a, hsa-mir-31, hsa-mir-3130-1, hsa-mir-320b-1, hsa-mir-3678, hsa-mir-4662a, hsa-mir-4772, hsa-mir-493, hsa-mir-556, hsa-mir-652, hsa-mir-6733, hsa-mir-874, and hsa-mir-9-3 were selected to construct the overall survival (OS) predicting signature, while the hsa-mir-130a, hsa-mir-204, hsa-mir-217, hsa-mir-223, hsa-mir-24-2, hsa-mir-29b-1, hsa-mir-363, hsa-mir-5001, hsa-mir-514a-1, hsa-mir-624, hsa-mir-639, hsa-mir-659, and hsa-mir-6892 were adopted to establish the recurrence-free survival (RFS) predicting signature. Referring to the median risk scores generated by the OS and RFS formulas, respectively, subgroup patients with high risk were strongly related to a poor OS and RFS revealed by Kaplan-Meier (K-M) plots. Meanwhile, receiver operating curve (ROC) analysis validated the accuracy and stability of these two signatures. When stratified by clinical features, such as tumor stage, age, and molecular subtypes, we found that the miRNA-based OS and RFS classifiers were still significant in predicting OS/RFS and showed the best predictive values than any other features. Besides, functional prediction analyses showed that these targeted genes of the enrolled miRNAs were enriched in cancer-associated pathways, such as MAPK/RTK, Ras, and PI3K-Akt signaling pathways. In summary, our observations demonstrate that the novel miRNA-based OS and RFS signatures are independent prognostic indicators for BC patients and worthy to be validated by further prospective studies. Hindawi 2019-12-30 /pmc/articles/PMC6954483/ /pubmed/31976020 http://dx.doi.org/10.1155/2019/3815952 Text en Copyright © 2019 Jia Tang et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tang, Jia
Ma, Wei
Zeng, Qinlong
Tan, Jieliang
Cao, Keshen
Luo, Liangping
Identification of miRNA-Based Signature as a Novel Potential Prognostic Biomarker in Patients with Breast Cancer
title Identification of miRNA-Based Signature as a Novel Potential Prognostic Biomarker in Patients with Breast Cancer
title_full Identification of miRNA-Based Signature as a Novel Potential Prognostic Biomarker in Patients with Breast Cancer
title_fullStr Identification of miRNA-Based Signature as a Novel Potential Prognostic Biomarker in Patients with Breast Cancer
title_full_unstemmed Identification of miRNA-Based Signature as a Novel Potential Prognostic Biomarker in Patients with Breast Cancer
title_short Identification of miRNA-Based Signature as a Novel Potential Prognostic Biomarker in Patients with Breast Cancer
title_sort identification of mirna-based signature as a novel potential prognostic biomarker in patients with breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954483/
https://www.ncbi.nlm.nih.gov/pubmed/31976020
http://dx.doi.org/10.1155/2019/3815952
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