1.Quantitative Measurement of Serum MicroRNA-21 Expression in Relation to Breast Cancer Metastasis in Chinese Females.
Guinian WANG ; Longzi WANG ; Sijing SUN ; Juan WU ; Qinglu WANG
Annals of Laboratory Medicine 2015;35(2):226-232
BACKGROUND: Breast cancer is the most common type of cancer in females. Aberrant expression of microRNA-21 (miR-21) has previously been reported in breast cancer tissue. The aim of this study was to investigate expression levels of serum miR-21 in breast cancer patients and evaluate its prognostic value in Chinese females. METHODS: Real-time quantitative (RQ)-PCR was used to analyze miR-21 expression in archived serum, tumor tissue, and adjacent normal tissue from 549 participants (326 with breast cancer, 223 without breast cancer). We also analyzed associations between serum miR-21 expression and breast cancer subtypes and patient prognosis. Recurrence and survival were analyzed by using the multivariate Cox proportional hazards model. RESULTS: Expression of miR-21 was significantly higher in breast cancer tissues compared with normal adjacent breast tissues (P<0.001). The 2(-DeltaDeltaCt) values for serum miR-21 in breast cancer patients versus healthy controls were 9.12+/-3.43 and 2.96+/-0.73, respectively. Multivariate Cox proportional hazards model suggested that serum miR-21 expression was an independent poor prognostic factor for both recurrence (hazard ratio [HR]= 2.942; 95% confidence interval [CI]=1.420-8.325; P=0.008) and disease-free survival (HR=2.732; 95% CI=1.038-7.273, P=0.003) in breast cancer. CONCLUSIONS: Increased serum miR-21 expression level was correlated with poor prognosis of breast cancer patients, indicating that serum miR-21 may be a novel prognostic marker for recurrence and survival of breast cancer patients before resection.
Biomarkers, Tumor/genetics
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Breast/metabolism
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Breast Neoplasms/metabolism/mortality/*pathology
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Disease-Free Survival
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Female
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Humans
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Kaplan-Meier Estimate
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Lymphatic Metastasis
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MicroRNAs/*blood
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Neoplasm Recurrence, Local
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Prognosis
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Proportional Hazards Models
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Real-Time Polymerase Chain Reaction