Serum MicroRNAs Related with Chemoradiotherapy Resistance in Advanced-Stage Cervical Squamous Cell Carcinoma

Transl Oncol. 2017 Jun;10(3):378-384. doi: 10.1016/j.tranon.2017.03.005. Epub 2017 Apr 19.

Abstract

Objective: To investigate the serum microRNAs as biomarkers in predicting chemoradiotherapy resistance in advanced-stage cervical squamous cell carcinoma (ACSCC) patients.

Methods: Serum samples were collected from International Federation of Gynecology and Obstetrics (FIGO) stage IIB to IIIB cervical squamous cell carcinoma patients treated with platinum based Concomitant Chemoradiotherapy (CCRT) in our hospital during September 2013 to November 2015. Twenty well-matched samples (10 resistant and 10 sensitive) were chosen to screen the miRNA expression profile using serum samples pooled with microarrays. miRNAs expressed significantly different between two groups were further verified in 131 patients (29 resistant and 102 sensitive) serum samples with TaqMan Real-time PCR. The AUC was used to evaluate the accuracy of the biomarkers for prediction.

Results: MiR-136-5, miR-152-3p and miR-206 were expressed significantly different between sensitive and resistant groups. Results of 131 patients verification showed that the levels of miR-206 in sensitive samples and resistant samples were 2.715±0.2115 and 14.64±1.184, respectively, which was significantly different (P<.0001), while miR-136-5p and miR-152-3p could not be tested without pre-amplification reactions. Univariate analysis revealed that miR-206 expression was significantly associated with patients' DFS. Multivariate analysis demonstrated that miR-206 expression, tumor differentiation and pelvic lymph nodes metastasis were the independent prognostic factors associated with DFS in this cohort (P=.008, 0.000, 0.000, respectively). The probability of the prognostic accuracy of miR-206 expression in predicting chemoradiotherapy sensitivity of ACSCC patients was 91.3% (79.3% sensitivity and 92.2% specificity).

Conclusion: Serum miR-206 is a powerful tool in predicting chemoradiotherapy sensitivity in ACSCC patients.