Journal
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Volume 24, Issue 8, Pages -Publisher
MDPI
DOI: 10.3390/ijms24087115
Keywords
breast cancer; microRNAs; recurrence; survival outcomes; oncological outcomes
Ask authors/readers for more resources
Identifying patients at risk of breast cancer recurrence is difficult, making the discovery of biomarkers for diagnosis crucial. MiRNAs, small non-coding RNA molecules, have shown promise as biomarkers in cancer. A systematic review identified 44 miRNAs that can predict breast cancer recurrence. Increased expression of 25 miRNAs and decreased expression of 14 miRNAs were observed in patients with recurrence. In addition, there were five miRNAs with inconsistent expression levels. MiRNA expression patterns can accurately predict breast cancer recurrence.
Identifying patients likely to develop breast cancer recurrence remains a challenge. Thus, the discovery of biomarkers capable of diagnosing recurrence is of the utmost importance. MiRNAs are small, non-coding RNA molecules which are known to regulate genetic expression and have previously demonstrated relevance as biomarkers in malignancy. To perform a systematic review evaluating the role of miRNAs in predicting breast cancer recurrence. A formal systematic search of PubMed, Scopus, Web of Science, and Cochrane databases was performed. This search was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) checklist. A total of 19 studies involving 2287 patients were included. These studies identified 44 miRNAs which predicted breast cancer recurrence. Results from nine studies assessed miRNAs in tumour tissues (47.4%), eight studies included circulating miRNAs (42.1%), and two studies assessed both tumour and circulating miRNAs (10.5%). Increased expression of 25 miRNAs were identified in patients who developed recurrence, and decreased expression of 14 miRNAs. Interestingly, five miRNAs (miR-17-5p, miR-93-5p, miR-130a-3p, miR-155, and miR-375) had discordant expression levels, with previous studies indicating both increased and reduced expression levels of these biomarkers predicting recurrence. MiRNA expression patterns have the ability to predict breast cancer recurrence. These findings may be used in future translational research studies to identify patients with breast cancer recurrence to improve oncological and survival outcomes for our prospective patients.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available