tailieunhanh - báo cáo hóa học:" Biobanking after robotic-assisted radical prostatectomy: a quality assessment of providing prostate tissue for RNA studies"

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : Biobanking after robotic-assisted radical prostatectomy: a quality assessment of providing prostate tissue for RNA studies | Dev et al. Journal of Translational Medicine 2011 9 121 http content 9 1 121 JOURNAL OF TRANSLATIONAL MEDICINE RESEARCH Open Access Biobanking after robotic-assisted radical prostatectomy a quality assessment of providing prostate tissue for RNA studies 1Ỷ 2Ỷ 1 111 Harveer Dev David Rickman Prasanna Sooriakumaran Abhishek Srivastava Sonal Grover Robert Leung 2 2 2 2 2 2 Robert Kim Naoki Kitabayashi Raquel Esqueva Kyung Park Jessica Padilla Mark Rubin and Ashutosh Tewari1 Abstract Background RNA quality is believed to decrease with ischaemia time and therefore open radical prostatectomy has been advantageous in allowing the retrieval of the prostate immediately after its devascularization. In contrast robotic-assisted laparoscopic radical prostatectomies RALP require the completion of several operative steps before the devascularized prostate can be extirpated casting doubt on the validity of this technique as a source for obtaining prostatic tissue. We seek to establish the integrity of our biobanking process by measuring the RNA quality of specimens derived from robotic-assisted laparoscopic radical prostatectomy. Methods We describe our biobanking process and report the RNA quality of prostate specimens using advanced electrophoretic techniques RNA Integrity Numbers RIN . Using multivariate regression analysis we consider the impact of various clinicopathological correlates on RNA integrity. Results Our biobanking process has been used to acquire 1709 prostates and allows us to retain approximately 40 of the prostate specimen without compromising the histopathological evaluation of patients. We collected 186 samples from 142 biobanked prostates and demonstrated a mean RIN of standard deviation in 139 non-stromal samples 73 of which had a RIN 7. Multivariate regression analysis revealed cell type - stromal epithelial and benign malignant - and prostate volume to be significant predictors of RIN with unstandardized .