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Reference Gene Validation for Relative Quantification Analysis of Transcripts in Urinary Exfoliated Cells Among Urothelial Bladder Carcinoma Patients Publisher



Afsharpad M1 ; Nowroozi MR2 ; Safari M1 ; Nekoohesh L3 ; Sohrabi A4 ; Zendehdel K1, 5 ; Modarressi MH1
Authors
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Authors Affiliations
  1. 1. Cancer Research Center, Cancer Institute of IR., Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Medical Biotechnology, School of Advanced Medical Technologies, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
  5. 5. Cancer Model Research Center, Cancer Institute of Iran, Tehran, Iran
  6. 6. Tehran University of Medical Sciences, Tehran, Iran

Source: Meta Gene Published:2017


Abstract

The specific mRNA signature of urinary exfoliated cells (UECs) can be helpful for biomarker discovery and validation studies related to urological malignancies including cancers of bladder, kidney, prostate and testicles, as well as kidney allograft rejection, systemic autoimmune diseases such as lupus, and acquired proteinuric diseases. To the best of our knowledge, no systematic validation of reference genes has been reported for UECs Reverse Transcription-quantitative Polymerase Chain Reaction (RT-qPCR) analysis up to now. To determine the stability of candidate housekeeping genes (HKGs) across UECs, they were isolated from first morning urine of patients diagnosed as high grade and low grade urothelial bladder cancer as cases and clinical controls including the patients suffering from bladder stone, benign prostatic hyperplasia, obstructive uropathy and healthy individuals. RT-qPCR was performed to determine 9 candidate HKGs stability. geNorm, Normfinder, and BestKeeper statistical algorithm were applied to determine the most stable reference genes. The non-parametric Mann-Whitney U test applied to compare HKGs expression levels between cases and controls samples. GAPDH and HSP90AB1 were selected as two most stable expressed HKGs by all three algorithms, while ACTB demonstrated to have the least stability. Although, GAPDH is a suitable reference gene for quantitative analysis of UECs in urological malignancies, based on normalization factor calculated by geNorm, we recommend using GAPDH, and HSP90AB1 together as normalizer to obtain more realistic expression analysis via relative qPCR. © 2016 Elsevier B.V.