Volume 24, Issue 8 pp. 632-638
Original Article: Laboratory Investigation

Expression profile of urothelial transcription factors in bladder biopsies with interstitial cystitis

Kanya Kaga

Kanya Kaga

Department of Urology, Continence Center, Dokkyo Medical University, Mibu, Tochigi, Japan

Department of Urology, Graduate School of Medicine, Chiba University, Chiba, Japan

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Ken-ichi Inoue

Corresponding Author

Ken-ichi Inoue

Center for Research Support, Dokkyo Medical University, Mibu, Tochigi, Japan

Correspondence: Ken-ichi Inoue Ph.D., Center for Research Support, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Tochigi 321-0293, Japan. Email: [email protected]Search for more papers by this author
Mayuko Kaga

Mayuko Kaga

Department of Urology, Continence Center, Dokkyo Medical University, Mibu, Tochigi, Japan

Department of Urology, Graduate School of Medicine, Chiba University, Chiba, Japan

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Tomohiko Ichikawa

Tomohiko Ichikawa

Department of Urology, Graduate School of Medicine, Chiba University, Chiba, Japan

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Tomonori Yamanishi

Tomonori Yamanishi

Department of Urology, Continence Center, Dokkyo Medical University, Mibu, Tochigi, Japan

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First published: 18 June 2017
Citations: 6

Abstract

Objectives

To characterize interstitial cystitis pathology based on the expression profile of urothelial tissue-specific master transcription factors.

Methods

Bladder carcinoma cell lines derived from the urothelial stem cells (epithelial or mesenchymal) were used to identify candidate urothelial master transcription factors. Gene expression was measured with quantitative reverse transcription polymerase chain reaction. From the initial screening of 170 transcription factors (human homologs of Drosophila segmentation genes and known master transcription factors from a database), 28 transcription factors were selected. Subsequently, messenger ribonucleic acid from bladder biopsies of interstitial cystitis patients was purified, and gene expression levels of known urothelial marker genes and candidate master transcription factors were measured. Multivariate expression data were analyzed with spss software.

Results

Factor analysis decomposed the expression profile into four axes: principal axis 1 included retinoic acid receptors and 17 candidate master transcription factors. Principal axis 2 included KRT5 and five candidates. Principal axis 3 included transcription factor TP63 and two candidates. Principal axis 4 included SHH and two candidates. Principal component analysis segregated biopsies from Hunner's lesion in the principal component 1 (retinoic acid)/principal component 2 (SOX13)/principal component 3 (TP63) space.

Conclusions

Urothelial master transcription factors could serve as novel diagnostic markers and potentially explain the molecular pathology of interstitial cystitis.

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