ArticleAmerican journal of translational research2024
Clinical implications of serum miR-34a in breast cancer and its predictive value for the efficacy of neoadjuvant chemotherapy.
Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The role of circulating MiR-34a-5p and MiR-let7a-5p as a diagnostic tumor markers in breast cancer a cross-sectional analysis.Molecular biology reports · 2026Article
- Abnormal expression of miR-22-5p in breast cancer patients and its correlation with 18 F-FDG PET/CT features and serum-related tumor markers.World journal of surgical oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis 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).
methodsA 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.
resultsThe 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.
conclusionsTaken together, serum miR-34a is downregulated in BC and can predict the clinical progression of BC patients and the therapeutic efficacy of NACT.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.