» Articles » PMID: 35340888

Overview of MicroRNA Expression in Predicting Response to Neoadjuvant Therapies in Human Epidermal Growth Receptor-2 Enriched Breast Cancer - A Systematic Review

Overview
Publisher Sage Publications
Date 2022 Mar 28
PMID 35340888
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: Increased appreciation of the human epidermal growth factor receptor-2 (HER2/neu) signalling pathway has led to the development of targeted therapeutic agents used in conjunction with chemotherapy to improve outcomes for HER2 overexpressing (HER2+) breast cancer. For neoadjuvant therapy, response rates can be unpredictable - novel biomarkers predicting effectiveness are required to enhance oncological outcomes for these patients, and microRNA may prove effective. Our objective was to identify microRNA (miRNA) expression patterns predictive of response to neoadjuvant chemotherapy (NAC) and/or anti-HER2 targeted therapies in patients being treated for early-stage HER2+ breast cancer.

Methods: A search was performed of the PUBMED, SCOPUS, Web of Science, and EMBASE in accordance to Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines.

Results: Overall, 15 studies including 1335 patients were included. These studies highlighted an expression profile of 73 miRNA and their ability to predict tumour response to neoadjuvant therapies was correlated. Results from 11 studies were in relation to circulatory miRNA and 4 studies included data from tumour tissue. Overall, upregulation and downregulation of 41 miRNA and 29 miRNA, respectively, predicted differential response to neoadjuvant therapy. Expression levels of 3 miRNA (miR-21, miR-210, and miR-376c-3p) were inconclusive in predicting therapeutic response, while 'aberrant' expression of circulating miR-199a predicted pathological complete response (pCR) to NAC.

Conclusions: This systematic review outlines expression patterns of a number of miRNA which correlate with response to NAC and/or anti-HER2 therapies. Future translational research evaluating predictive biomarkers of primary response to neoadjuvant therapy in HER2+ breast cancer may consider these results.

Citing Articles

Factors influencing pathological complete response and tumor regression in neoadjuvant radiotherapy and chemotherapy for high-risk breast cancer.

Haussmann J, Budach W, Nestle-Kramling C, Wollandt S, Jazmati D, Tamaskovics B Radiat Oncol. 2024; 19(1):99.

PMID: 39085866 PMC: 11293047. DOI: 10.1186/s13014-024-02450-5.


Biological Implications of MicroRNAs as Regulators and Biomarkers of Therapeutic Toxicities in Breast Cancer.

Abbas Syed R, Davey M, Richard V, Miller N, Kerin M Int J Mol Sci. 2023; 24(16).

PMID: 37628874 PMC: 10454054. DOI: 10.3390/ijms241612694.


Unlocking the Potential of Circulating miRNAs in the Breast Cancer Neoadjuvant Setting: A Systematic Review and Meta-Analysis.

Tiberio P, Gaudio M, Belloni S, Pindilli S, Benvenuti C, Jacobs F Cancers (Basel). 2023; 15(13).

PMID: 37444533 PMC: 10340268. DOI: 10.3390/cancers15133424.


Assessing the Role of MicroRNAs in Predicting Breast Cancer Recurrence-A Systematic Review.

Mkabaah L, Davey M, Lennon J, Bouz G, Miller N, Kerin M Int J Mol Sci. 2023; 24(8).

PMID: 37108278 PMC: 10138898. DOI: 10.3390/ijms24087115.


The Role of miR-375-3p, miR-210-3p and Let-7e-5p in the Pathological Response of Breast Cancer Patients to Neoadjuvant Therapy.

Lisencu L, Roman A, Visan S, Bonci E, Pasca A, Grigorescu E Medicina (Kaunas). 2022; 58(10).

PMID: 36295655 PMC: 9608077. DOI: 10.3390/medicina58101494.


References
1.
Stevic I, Muller V, Weber K, Fasching P, Karn T, Marme F . Specific microRNA signatures in exosomes of triple-negative and HER2-positive breast cancer patients undergoing neoadjuvant therapy within the GeparSixto trial. BMC Med. 2018; 16(1):179. PMC: 6178264. DOI: 10.1186/s12916-018-1163-y. View

2.
Whiting P, Rutjes A, Westwood M, Mallett S, Deeks J, Reitsma J . QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011; 155(8):529-36. DOI: 10.7326/0003-4819-155-8-201110180-00009. View

3.
Zhao R, Wu J, Jia W, Gong C, Yu F, Ren Z . Plasma miR-221 as a predictive biomarker for chemoresistance in breast cancer patients who previously received neoadjuvant chemotherapy. Onkologie. 2011; 34(12):675-80. DOI: 10.1159/000334552. View

4.
Selcuklu S, Donoghue M, Rehmet K, de Souza Gomes M, Fort A, Kovvuru P . MicroRNA-9 inhibition of cell proliferation and identification of novel miR-9 targets by transcriptome profiling in breast cancer cells. J Biol Chem. 2012; 287(35):29516-28. PMC: 3436132. DOI: 10.1074/jbc.M111.335943. View

5.
Lu J, Getz G, Miska E, Alvarez-Saavedra E, Lamb J, Peck D . MicroRNA expression profiles classify human cancers. Nature. 2005; 435(7043):834-8. DOI: 10.1038/nature03702. View