Cargando…

Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer

Background: Neoadjuvant chemotherapy (NACT) is an increasingly used approach for treatment of breast cancer. The pathological complete response (pCR) is considered a good predictor of disease-specific survival. This study investigated whether circulating exosomal microRNAs could predict pCR in breas...

Descripción completa

Detalles Bibliográficos
Autores principales: Todorova, Valentina K., Byrum, Stephanie D., Gies, Allen J., Haynie, Cade, Smith, Hunter, Reyna, Nathan S., Makhoul, Issam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870357/
https://www.ncbi.nlm.nih.gov/pubmed/35200555
http://dx.doi.org/10.3390/curroncol29020055
_version_ 1784656723378700288
author Todorova, Valentina K.
Byrum, Stephanie D.
Gies, Allen J.
Haynie, Cade
Smith, Hunter
Reyna, Nathan S.
Makhoul, Issam
author_facet Todorova, Valentina K.
Byrum, Stephanie D.
Gies, Allen J.
Haynie, Cade
Smith, Hunter
Reyna, Nathan S.
Makhoul, Issam
author_sort Todorova, Valentina K.
collection PubMed
description Background: Neoadjuvant chemotherapy (NACT) is an increasingly used approach for treatment of breast cancer. The pathological complete response (pCR) is considered a good predictor of disease-specific survival. This study investigated whether circulating exosomal microRNAs could predict pCR in breast cancer patients treated with NACT. Method: Plasma samples of 20 breast cancer patients treated with NACT were collected prior to and after the first cycle. RNA sequencing was used to determine microRNA profiling. The Cancer Genome Atlas (TCGA) was used to explore the expression patterns and survivability of the candidate miRNAs, and their potential targets based on the expression levels and copy number variation (CNV) data. Results: Three miRNAs before that NACT (miR-30b, miR-328 and miR-423) predicted pCR in all of the analyzed samples. Upregulation of miR-127 correlated with pCR in triple-negative breast cancer (TNBC). After the first NACT dose, pCR was predicted by exo-miR-141, while miR-34a, exo-miR182, and exo-miR-183 predicted non-pCR. A significant correlation between the candidate miRNAs and the overall survival, subtype, and metastasis in breast cancer, suggesting their potential role as predictive biomarkers of pCR. Conclusions: If the miRNAs identified in this study are validated in a large cohort of patients, they might serve as predictive non-invasive liquid biopsy biomarkers for monitoring pCR to NACT in breast cancer.
format Online
Article
Text
id pubmed-8870357
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-88703572022-02-25 Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer Todorova, Valentina K. Byrum, Stephanie D. Gies, Allen J. Haynie, Cade Smith, Hunter Reyna, Nathan S. Makhoul, Issam Curr Oncol Article Background: Neoadjuvant chemotherapy (NACT) is an increasingly used approach for treatment of breast cancer. The pathological complete response (pCR) is considered a good predictor of disease-specific survival. This study investigated whether circulating exosomal microRNAs could predict pCR in breast cancer patients treated with NACT. Method: Plasma samples of 20 breast cancer patients treated with NACT were collected prior to and after the first cycle. RNA sequencing was used to determine microRNA profiling. The Cancer Genome Atlas (TCGA) was used to explore the expression patterns and survivability of the candidate miRNAs, and their potential targets based on the expression levels and copy number variation (CNV) data. Results: Three miRNAs before that NACT (miR-30b, miR-328 and miR-423) predicted pCR in all of the analyzed samples. Upregulation of miR-127 correlated with pCR in triple-negative breast cancer (TNBC). After the first NACT dose, pCR was predicted by exo-miR-141, while miR-34a, exo-miR182, and exo-miR-183 predicted non-pCR. A significant correlation between the candidate miRNAs and the overall survival, subtype, and metastasis in breast cancer, suggesting their potential role as predictive biomarkers of pCR. Conclusions: If the miRNAs identified in this study are validated in a large cohort of patients, they might serve as predictive non-invasive liquid biopsy biomarkers for monitoring pCR to NACT in breast cancer. MDPI 2022-01-28 /pmc/articles/PMC8870357/ /pubmed/35200555 http://dx.doi.org/10.3390/curroncol29020055 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Todorova, Valentina K.
Byrum, Stephanie D.
Gies, Allen J.
Haynie, Cade
Smith, Hunter
Reyna, Nathan S.
Makhoul, Issam
Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer
title Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer
title_full Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer
title_fullStr Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer
title_full_unstemmed Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer
title_short Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer
title_sort circulating exosomal micrornas as predictive biomarkers of neoadjuvant chemotherapy response in breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870357/
https://www.ncbi.nlm.nih.gov/pubmed/35200555
http://dx.doi.org/10.3390/curroncol29020055
work_keys_str_mv AT todorovavalentinak circulatingexosomalmicrornasaspredictivebiomarkersofneoadjuvantchemotherapyresponseinbreastcancer
AT byrumstephanied circulatingexosomalmicrornasaspredictivebiomarkersofneoadjuvantchemotherapyresponseinbreastcancer
AT giesallenj circulatingexosomalmicrornasaspredictivebiomarkersofneoadjuvantchemotherapyresponseinbreastcancer
AT hayniecade circulatingexosomalmicrornasaspredictivebiomarkersofneoadjuvantchemotherapyresponseinbreastcancer
AT smithhunter circulatingexosomalmicrornasaspredictivebiomarkersofneoadjuvantchemotherapyresponseinbreastcancer
AT reynanathans circulatingexosomalmicrornasaspredictivebiomarkersofneoadjuvantchemotherapyresponseinbreastcancer
AT makhoulissam circulatingexosomalmicrornasaspredictivebiomarkersofneoadjuvantchemotherapyresponseinbreastcancer