| ISSN |
2218-4333 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Oncology |
| Manuscript Type |
Prospective Study |
| Article Title |
Longitudinal miRNA profiles in breast cancer tissue and plasma: Associations with hormone receptors, response, and survival
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Dinara Ryspayeva, Attila A Seyhan, Kaizhong Mu, Mengyue Liu, Connor Purcell, William J MacDonald, Volodymyr Halytskiy, Tetiana Drevytska, Mariia Inomistova, Natalia Khranovska, Oleksandr Potorocha, Lesia Taran, Olena Sumkina, Ivan Smolanka Sr and Wafik S El-Deiry |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
Dinara Ryspayeva, Assistant Professor, Legorreta Cancer Center, Brown University, 70 Ship Street, Providence, RI 02903, United States. dinara_ryspayeva@brown.edu |
| Key Words |
Breast cancer; MicroRNAs (miR-34a, miR-373, miR-137); Neoadjuvant chemotherapy; Prognostic biomarkers; Chemosensitivity; Overall survival; Longitudinal profiling; Treatment-induced remodeling |
| Core Tip |
This longitudinal study profiles matched tumor and plasma microRNAs dynamics in breast cancer patients before and after neoadjuvant chemotherapy. By integrating tissue-plasma signatures with survival data, stratified by hormone receptor status, we identified miR-34a and miR-373as independent prognostic markers at diagnosis. Furthermore, miR-137 was identified as candidate predictor of chemosensitivity. Our findings reveal that chemotherapy induces significant “molecular remodeling” and expression convergence across the cohort, which diminishes the prognostic clarity of markers post-treatment. Consequently, our data suggest that baseline profiling offers superior prognostic utility. These findings underscore the critical role of temporal context in microRNA-guided precision oncology and highlight the intricate interplay between systemic and intratumoral molecular landscapes. |
| Publish Date |
2026-04-21 09:00 |
| Citation |
Ryspayeva D, Seyhan AA, Mu K, Liu M, Purcell C, MacDonald WJ, Halytskiy V, Drevytska T, Inomistova M, Khranovska N, Potorocha O, Taran L, Sumkina O, Smolanka Sr I, El-Deiry WS. Longitudinal miRNA profiles in breast cancer tissue and plasma: Associations with hormone receptors, response, and survival. World J Clin Oncol 2026; 17(4): 115287 |
| URL |
https://www.wjgnet.com/2218-4333/full/v17/i4/115287.htm |
| DOI |
https://dx.doi.org/10.5306/wjco.v17.i4.115287 |
