Diagnostic value of combined IQGAP3/BMP4 and IQGAP3/FAM107A expression ratios in urinary cell-free DNA for discriminating bladder cancer from hematuria

Yanjie Xu, Ye Hwan Kim, Pildu Jeong, Xuan Mei Piao, Young Joon Byun, Ho Won Kang, Won Tae Kim, Jong Young Lee, Isaac Y. Kim, Sung Kwon Moon, Yung Hyun Choi, Seok Joong Yun, Wun Jae Kim

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Background: Urinary cell-free DNA (ucfDNA) has great potential as a “liquid biopsy” for use in diagnosis of urological cancers. In this study, we compared ucfDNA gene expression levels between patients with bladder cancer (BC) and those with hematuria, and determined whether they could be used as a noninvasive urine-based marker. Methods: The study cohort of 355 patients included a screening group (40 BC and 41 hematuria controls) and a validation cohort (149 BC and 125 hematuria controls). Expression levels ratios of 1 up-regulated gene (IQGAP3) to those of 7 down-regulated genes were examined in ucfDNA in the screening group to identify ratios that differed significantly between BC and hematuria patients. IQGAP3/BMP4 and IQGAP3/FAM107A ratios were selected and combined to develop a discriminant score (DS) index, which was tested in the validation cohort. Receiver operating characteristic curves and areas under the curve were calculated to evaluate the performance of the DS index. Results: IQGAP3/BMP4 and IQGAP3/FAM107A ratios in ucfDNA were both significantly higher in BC patients than in hematuria patients (both P < 0.001). The DS index had an area under the curve of 0.862, a sensitivity of 71.0%, a specificity of 88.6%, a positive predictive value of 90.3%, and a negative predictive value of 67.2%. Conclusions: Both IQGAP3/BMP4 and IQGAP3/FAM107A ratios in ucfDNA were significantly higher in patients with BC than in those with hematuria. The DS index exhibits good diagnostic performance as a noninvasive biomarker.

Original languageEnglish (US)
Pages (from-to)86-96
Number of pages11
JournalUrologic Oncology: Seminars and Original Investigations
Issue number1
StatePublished - Jan 2019


All Science Journal Classification (ASJC) codes

  • Oncology
  • Urology


  • Biomarker
  • Bladder cancer
  • Discriminant analysis
  • Hematuria
  • Urinary cell-free DNA

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