UBE2C cell-free RNA in urine can discriminate between bladder cancer and hematuria

Won Tae Kim, Pildu Jeong, Chunri Yan, Ye Hwan Kim, Il Seok Lee, Ho Won Kang, Yong June Kim, Sang Cheol Lee, Sang Jin Kim, Yong Tae Kim, Sung Kwon Moon, Yung Hyun Choi, Isaac Yi Kim, Seok Joong Yun, Wun Jae Kim

    Research output: Contribution to journalArticlepeer-review

    33 Scopus citations


    Background: There is growing interest in circulating nucleic acids as cancer detection biomarkers. Therefore, the aim of the present study was to identify a key urinary cell-free RNA marker that may assist in the diagnosis of BC. Results: Five cell-free RNAs were selected as candidate cell-free RNAs from tissue microarray data. An area under the curve (AUC) cut-off value of 0.7 in receiver operating characteristic (ROC) curve analysis identified four urinary cell-free RNAs for further analysis (CDC20, ESM1, UBE2C, and CA9; AUC = 0.716, 0.704, 0.721, and 0.702, respectively). Binary logistic regression analysis revealed that high expression of UBE2C was significantly associated with BC (OR, 1.754; CI, 1.147-2.682; p = 0.010). Analysis of UBE2C expression in urine samples from BC patients and hematuria controls yielded an AUC of 0.839, with a sensitivity of 82.5% and a specificity of 76.2%. UBE2C levels was significantly increased in G2 and G3 tumors compared to normal controls (p < 0.001, respectively). Materials and methods: Urine samples from 212 BC patients and 106 normal controls (64 healthy individuals and 42 with hematuria) were examined. The candidate cell-free RNAs identified from tissue microarrays derived from BC and normal control tissues was then measured in the urine samples. Conclusions: The levels of urinary UBE2C cell-free RNA were significantly higher in BC samples than in normal and hematuria control samples. The higher levels of urinary UBE2C cell-free RNA in BC might reflect high expression in BC tissues. Therefore, urinary UBE2C cell-free RNA may be a valuable diagnostic marker for BC.

    Original languageEnglish (US)
    Pages (from-to)58193-58202
    Number of pages10
    Issue number36
    StatePublished - 2016

    All Science Journal Classification (ASJC) codes

    • Oncology


    • Biomarkers
    • RNA
    • Urinary bladder neoplasms
    • Urine


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