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...
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MDPI AG
2022-01-01
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Online Access: | https://www.mdpi.com/1718-7729/29/2/55 |
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author | Valentina K. Todorova Stephanie D. Byrum Allen J. Gies Cade Haynie Hunter Smith Nathan S. Reyna Issam Makhoul |
author_facet | Valentina K. Todorova Stephanie D. Byrum Allen J. Gies Cade Haynie Hunter Smith Nathan S. Reyna Issam Makhoul |
author_sort | Valentina K. Todorova |
collection | DOAJ |
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. |
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issn | 1198-0052 1718-7729 |
language | English |
last_indexed | 2024-03-09T22:14:33Z |
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series | Current Oncology |
spelling | doaj.art-a9de7a58d45b4367965c9fe7e29d38932023-11-23T19:26:41ZengMDPI AGCurrent Oncology1198-00521718-77292022-01-0129261363010.3390/curroncol29020055Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast CancerValentina K. Todorova0Stephanie D. Byrum1Allen J. Gies2Cade Haynie3Hunter Smith4Nathan S. Reyna5Issam Makhoul6Division of Medical Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USABiology Department, Ouachita Baptist University, Arkadelphia, AR 71998, USABiology Department, Ouachita Baptist University, Arkadelphia, AR 71998, USABiology Department, Ouachita Baptist University, Arkadelphia, AR 71998, USADivision of Medical Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USABackground: 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.https://www.mdpi.com/1718-7729/29/2/55breast cancerneoadjuvant chemotherapyliquid biopsyexosomal microRNApredictive biomarkerspathological complete response |
spellingShingle | Valentina K. Todorova Stephanie D. Byrum Allen J. Gies Cade Haynie Hunter Smith Nathan S. Reyna Issam Makhoul Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer Current Oncology breast cancer neoadjuvant chemotherapy liquid biopsy exosomal microRNA predictive biomarkers pathological complete response |
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 | breast cancer neoadjuvant chemotherapy liquid biopsy exosomal microRNA predictive biomarkers pathological complete response |
url | https://www.mdpi.com/1718-7729/29/2/55 |
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