Abstract

This study aims to explore the implications of serum miR-34a in breast cancer (BC) and its predictive value for the efficacy of neoadjuvant chemotherapy (NACT). A retrospective analysis was performed on 102 female BC patients (research group) admitted to The Second Affiliated Hospital of Anhui Medical University between January 2016 to March 2018 and 102 concurrent female health controls who underwent physical examinations (control group). Serum samples from both groups were subjected to quantitative reverse transcription polymerase chain reaction to measure miR-34a expression. The correlation of miR-34a with BC patients' clinical parameters was analyzed, and the implications of miR-34a for diagnosing BC and predicting NACT efficacy were assessed by receiver operating characteristic curves. Logistic regression analysis was employed to determine whether miR-34a independently influenced treatment effectiveness and patient outcomes. The data showed significantly lower miR-34a levels in the research group than in the control group (P<0.05). The area under the curve (AUC) of miR-34a for differentiating BC was 0.888. In BC patients, miR-34a was strongly correlated with tumor staging and differentiation degree. Following NACT, BC patients showed an evident rise in miR-34a expression, with higher levels in patients with effective treatment compared to those with treatment failure (P<0.05). The AUC values of serum miR-34a in predicting the efficacy of neoadjuvant chemotherapy from FD to SD and from SD to TD were 0.880 and 0.861, respectively (P<0.001). Furthermore, patients with favorable prognosis exhibited markedly higher serum miR-34a expression than those with poor prognosis (P<0.05). The AUC of miR-34a expression for predicting adverse prognosis was 0.825. Decreased miR-34a was identified as an independent risk factor for treatment failure and poor prognosis. Taken together, serum miR-34a is downregulated in BC and can predict the clinical progression of BC patients and the therapeutic efficacy of NACT.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.