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Clinical potential of miR-940 as a diagnostic and prognostic biomarker in breast cancer patients

Authors: Wenjun, Liu; Yongmei, Xu; Hongliang, Guan; Hongwei, Meng;

Clinical potential of miR-940 as a diagnostic and prognostic biomarker in breast cancer patients

Abstract

BACKGROUND: Breast cancer remains the most invasive female malignancy worldwide. Functional role of microRNA-940 (miR-940) have been investigated in various cancer. The purpose of this study was to assess the serum miR-940 expression and its clinical significance in breast cancer. METHODS: Expression of miR-940 was measured by quantitative real-time polymerase chain reaction (qRT-PCR). The diagnostic value of miR-940 was analyzed with receiver operating characteristics (ROC) analysis. To explore the prognostic performance of miR-940, Kaplan-Meier survival assay and Cox regression analysis were performed. RESULTS: Downregulated miR-940 was detected in the breast cancer patients compared with the healthy controls (P< 0.001). The miR-940 expression was correlated with lymph node metastasis (P= 0.014) and TNM stage (P= 0.003). The area under the ROC curve (AUC) was 0.905, with sensitivity and specificity of 94.5% and 78.6%. From the survival curves, patients with low miR-940 expression had poor overall survival compare with those with high expression (log-rank P= 0.009). The Cox analysis indicated that miR-940 was an independent prognostic factor (HR = 2.645, 95% CI = 1.426–4.906 and P= 0.002). Decreased miR-940 expression was also been found in triple-negative breast cancer (TNBC) samples, and might predict poor prognosis in TNBC patients. CONCLUSIONS: Serum downregulated miR-940 may serve as a reliable diagnostic and prognostic biomarker in breast cancer patients.

Related Organizations
Keywords

Adult, Breast Neoplasms, Kaplan-Meier Estimate, Middle Aged, Prognosis, MicroRNAs, ROC Curve, Area Under Curve, Biomarkers, Tumor, Humans, Female, Neoplasm Grading, Aged, Neoplasm Staging, Proportional Hazards Models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
39
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research
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