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Expression profile of urothelial transcription factors in bladder biopsies with interstitial cystitis
Author(s) -
Kaga Kanya,
Inoue Kenichi,
Kaga Mayuko,
Ichikawa Tomohiko,
Yamanishi Tomonori
Publication year - 2017
Publication title -
international journal of urology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.172
H-Index - 67
eISSN - 1442-2042
pISSN - 0919-8172
DOI - 10.1111/iju.13391
Subject(s) - transcription factor , urothelium , interstitial cystitis , transcription (linguistics) , retinoic acid , urothelial cell , principal component analysis , medicine , reverse transcription polymerase chain reaction , gene expression , cancer research , gene , pathology , biology , urinary bladder , genetics , linguistics , philosophy , alternative medicine , artificial intelligence , computer science
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.