Circulating microRNA profiles in plasma: identification of miR-224 as a novel diagnostic biomarker in hepatocellular carcinoma independent of hepatic function.

AIMS: This study was designed to identify novel microRNAs (miRNAs) in plasma for detecting and monitoring hepatocellular carcinoma (HCC), independent of hepatic function and background liver diseases with different etiologies. RESULTS: (1) Four oncogenic miRNAs (miR-151, 155, 191 and 224) with high expression in HCC tissues were selected as candidates. (2) Quantitative RT-PCR using plasma samples from 107 HCC patients and 75 healthy volunteers revealed a significantly higher level of plasma miR-224 in HCC patients than in healthy volunteers according to a small-scale analysis (P < 0.0001), two independent large-scale cohort analysis (P < 0.0001, AUC 0.908). (3) miR-224 expression was significantly higher in HCC tissues and HCC cell lines than in normal hepatic tissues and fibroblasts, respectively. (P = 0.0011, 0.0150) (4) Plasma miR-224 reflected tumor dynamics; preoperative plasma levels of miR-224 were significantly reduced in postoperative samples (P = 0.0058), and plasma miR-224 levels were significantly correlated with paired miR-224 levels in HCC tissues (P = 0.0005). (5) Furthermore, plasma miR-224 levels significantly discriminated HCC patients from patients with chronic liver disease (P = 0.0008). A high plasma miR-224 level was significantly correlated with larger tumor size (P = 0.0005) and recurrences (P = 0.0027). The plasma miR-224 level could accurately detect small tumors less than 18 mm preoperatively. METHODS: We performed a systematic review of the NCBI database and selected candidate miRNAs reported as highly expressed in HCC tissue. CONCLUSIONS: Plasma miR-224 may be a sensitive biomarker for screening HCC and monitoring tumor dynamics.

Circulating miR-18a in plasma contributes to cancer detection and monitoring in patients with gastric cancer.

BACKGROUND: Recently, circulating microRNAs have been reported to be stably detectable in plasma/serum and to function as potent non-invasive biomarkers in various cancers. We hypothesized that miR-18a could contribute to a novel plasma biomarker in patients with gastric cancer (GC). METHODS: We focused on miR-18a, which is a component of miR-17-92 cluster and has been reported as highly expressed in GC tissues. The study involved three steps: (1) confirmation of the higher miR-18a expression in primary GC tissues and GC cell lines than in normal gastric tissues and a fibroblast cell line; (2) evaluation of the plasma miR-18a assay using quantitative RT-PCR by comparing 104 GC patients and 65 healthy volunteers; (3) evaluation of monitoring tumor dynamics by the plasma miR-18a assay. RESULTS: (1) The miR-18a expressions were significantly higher in GC tissues than in normal gastric tissues (P = 0.0286) and higher in all examined GC cell lines than in the fibroblast cell line. (2) The plasma miR-18a concentrations were significantly higher in GC patients than in healthy controls (P < 0.0001). The value of the area under the receiver-operating characteristic curve was 0.8059. (3) The plasma miR-18a levels were significantly reduced in postoperative samples compared to in preoperative samples (P = 0.0002). In an miR-18a overexpressing cell line, the miR-18a concentration of cultured medium increased in both cell number and time-course dependent manners, suggesting microRNA might be released from cancer cells into the surrounding environment. CONCLUSIONS: Circulating miR-18a could be a useful biomarker for screening GC and monitoring tumor dynamics.