title: Biobanking of derivatives from radical retropubic and robot-assisted laparoscopic prostatectomy tissues as part of the prostate cancer biorepository network.
abstract: BACKGROUND
  The goal of the Prostate Cancer Biorepository Network (PCBN) is to develop a biorepository with high-quality, well-annotated specimens obtained in a systematic, reproducible fashion using optimized and standardized protocols, and an infrastructure to facilitate the growth of the resource and its wide usage by the prostate cancer research community. An emerging area of concern in the field of prostate cancer biobanking is an apparent shift in the proportion of surgical procedures performed for prostate cancer treatment from radical retropubic prostatectomy (RRP) to robot-assisted laparoscopic prostatectomy (RALP). Our study aimed to determine the potential impact of the RALP procedure on the detection of known prostate cancer biomarkers, and the subsequent suitability of RALP-derived specimens for prostate cancer biomarker studies.
  
  
  METHODS
  DNA and RNA were extracted from RRP and RALP specimens. Quality assessment was conducted using spectrophotometric analysis and RNA was analyzed for RNA integrity number (RIN) and by real-time reverse-transcription PCR (qRT-PCR) for racemase, hepsin, ERG, TMPRSS2-ERG gene fusions, and the microRNAs miR-26a, miR-26b, miR-141, and miR-221.
  
  
  RESULTS
  We demonstrate that extraction of derivatives from frozen tissues from RRP and RALP specimens yields samples of equally high quality as assessed by spectrophotometric and RIN analysis. Likewise, expression levels of genes analyzed by qRT-PCR did not differ between RRP and RALP-derived tissues.
  
  
  CONCLUSIONS
  Our studies indicate that samples obtained from RALP specimens may be suitable for prostate cancer biomarker studies-an important finding given the current shift in surgical procedures for prostate cancer treatment.
authors.affiliation: Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
authors.forename: Medha
authors.initials: M
authors.lastname: Darshan
authors.forename: Qizhi
authors.initials: Q
authors.lastname: Zheng
authors.forename: Helen L
authors.initials: HL
authors.lastname: Fedor
authors.forename: Nicolas
authors.initials: N
authors.lastname: Wyhs
authors.forename: Srinivasan
authors.initials: S
authors.lastname: Yegnasubramanian
authors.forename: Peng
authors.initials: P
authors.lastname: Lee
authors.forename: Jonathan
authors.initials: J
authors.lastname: Melamed
authors.forename: George J
authors.initials: GJ
authors.lastname: Netto
authors.forename: Bruce J
authors.initials: BJ
authors.lastname: Trock
authors.forename: Angelo M
authors.initials: AM
authors.lastname: De Marzo
authors.forename: Karen S
authors.initials: KS
authors.lastname: Sfanos
mesh_terms: D000368:Aged; D006801:Humans; D010535:Laparoscopy / Q000379:methods* / Q000592:standards; D008297:Male; D008875:Middle Aged; D011468:Prostatectomy / Q000379:methods* / Q000592:standards; D011471:Prostatic Neoplasms / Q000473:pathology* / Q000601:surgery*; D012371:Robotics / Q000379:methods* / Q000592:standards; D014015:Tissue Banks / Q000592:standards
keywords: DNA; RNA; biobanking; biomarker; biorepository; prostate cancer