Cargando…
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 (...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783486803384205312 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6954483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT tangjia identificationofmirnabasedsignatureasanovelpotentialprognosticbiomarkerinpatientswithbreastcancer AT mawei identificationofmirnabasedsignatureasanovelpotentialprognosticbiomarkerinpatientswithbreastcancer AT zengqinlong identificationofmirnabasedsignatureasanovelpotentialprognosticbiomarkerinpatientswithbreastcancer AT tanjieliang identificationofmirnabasedsignatureasanovelpotentialprognosticbiomarkerinpatientswithbreastcancer AT caokeshen identificationofmirnabasedsignatureasanovelpotentialprognosticbiomarkerinpatientswithbreastcancer AT luoliangping identificationofmirnabasedsignatureasanovelpotentialprognosticbiomarkerinpatientswithbreastcancer |