Literature DB >> 22406482

Microscopic assessment of fresh prostate tumour specimens yields significantly increased rates of correctly annotated samples for downstream analysis.

Michael Kerger1, Matthew K H Hong, John Pedersen, Timothy Nottle, Andrew Ryan, John Mills, Justin S Peters, Daniel Moon, Helen Crowe, Anthony J Costello, Niall M Corcoran, Christopher M Hovens.   

Abstract

AIMS: To assess if performing frozen sections of tissue biopsies from fresh radical prostatectomy specimens, prior to tissue banking, could improve the identification of the banked samples compared to standard fresh tumour banking procedures.
METHODS: Tissue biopsies banked from 332 fresh prostatectomy specimens were assessed for accuracy of diagnosis, comparing two separate methods of tumour identification: one in which tumour was identified in the gross specimen by visual inspection (n = 155) and one in which rapid frozen sectioning was applied (n = 177). The associations with correct tumour annotation and clinicopathological variables, including age, pre-operative prostate specific antigen (PSA) levels, pathological Gleason score, pathological T stage, tumour volume and surgical margins, were examined using univariable and multivariable binary logistic regression models.
RESULTS: For the gross visual inspection cohort the rate of correctly identifying and banking specimens containing prostate cancer was 69%. For the cohort assessed with rapid frozen sections, 94% of banked specimens actually had cancer. On multivariable analysis, we found that only frozen sectioning and tumour volume variables were independent predictors of correctly banked tumour specimens whilst all other routinely reported pathological variables had no influence on the success rates of fresh prostate tumour banking.
CONCLUSION: The success rate for correctly banking fresh prostate tumour specimens is directly related to the tumour volume. Frozen section scrutiny of prostate samples is recommended to prevent misclassification of the banked material. (C) 2012 Royal College of Pathologists of Australasia.

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Year:  2012        PMID: 22406482     DOI: 10.1097/PAT.0b013e3283511c96

Source DB:  PubMed          Journal:  Pathology        ISSN: 0031-3025            Impact factor:   5.306


  7 in total

1.  Biobanking of derivatives from radical retropubic and robot-assisted laparoscopic prostatectomy tissues as part of the prostate cancer biorepository network.

Authors:  Medha Darshan; Qizhi Zheng; Helen L Fedor; Nicolas Wyhs; Srinivasan Yegnasubramanian; Peng Lee; Jonathan Melamed; George J Netto; Bruce J Trock; Angelo M De Marzo; Karen S Sfanos
Journal:  Prostate       Date:  2013-09-21       Impact factor: 4.104

2.  Reducing the risk of false discovery enabling identification of biologically significant genome-wide methylation status using the HumanMethylation450 array.

Authors:  Haroon Naeem; Nicholas C Wong; Zac Chatterton; Matthew K H Hong; John S Pedersen; Niall M Corcoran; Christopher M Hovens; Geoff Macintyre
Journal:  BMC Genomics       Date:  2014-01-22       Impact factor: 3.969

3.  Androgen deprivation therapy promotes an obesity-like microenvironment in periprostatic fat.

Authors:  Stefano Mangiola; Ryan Stuchbery; Patrick McCoy; Ken Chow; Natalie Kurganovs; Michael Kerger; Anthony Papenfuss; Christopher M Hovens; Niall M Corcoran
Journal:  Endocr Connect       Date:  2019-05-01       Impact factor: 3.335

4.  Transcriptome sequencing and multi-plex imaging of prostate cancer microenvironment reveals a dominant role for monocytic cells in progression.

Authors:  Niall M Corcoran; Anthony T Papenfuss; Christopher M Hovens; Stefano Mangiola; Patrick McCoy; Martin Modrak; Fernando Souza-Fonseca-Guimaraes; Daniel Blashki; Ryan Stuchbery; Simon P Keam; Michael Kerger; Ken Chow; Chayanica Nasa; Melanie Le Page; Natalie Lister; Simon Monard; Justin Peters; Phil Dundee; Scott G Williams; Anthony J Costello; Paul J Neeson; Bhupinder Pal; Nicholas D Huntington
Journal:  BMC Cancer       Date:  2021-07-22       Impact factor: 4.430

5.  Loss of SNAI2 in Prostate Cancer Correlates With Clinical Response to Androgen Deprivation Therapy.

Authors:  Marek Cmero; Natalie J Kurganovs; Ryan Stuchbery; Patrick McCoy; Corrina Grima; Anne Ngyuen; Ken Chow; Stefano Mangiola; Geoff Macintyre; Nicholas Howard; Michael Kerger; Philip Dundee; Paul Ruljancich; David Clarke; Jeremy Grummet; Justin S Peters; Anthony J Costello; Sam Norden; Andrew Ryan; Phillip Parente; Christopher M Hovens; Niall M Corcoran
Journal:  JCO Precis Oncol       Date:  2021-06-22

6.  Detection of ctDNA in plasma of patients with clinically localised prostate cancer is associated with rapid disease progression.

Authors:  Edmund Lau; Patrick McCoy; Fairleigh Reeves; Ken Chow; Michael Clarkson; Edmond M Kwan; Kate Packwood; Helen Northen; Miao He; Zoya Kingsbury; Stefano Mangiola; Michael Kerger; Marc A Furrer; Helen Crowe; Anthony J Costello; David J McBride; Mark T Ross; Bernard Pope; Christopher M Hovens; Niall M Corcoran
Journal:  Genome Med       Date:  2020-08-17       Impact factor: 11.117

7.  A preclinical xenograft model of prostate cancer using human tumors.

Authors:  Mitchell G Lawrence; Renea A Taylor; Roxanne Toivanen; John Pedersen; Sam Norden; David W Pook; Mark Frydenberg; Melissa M Papargiris; Birunthi Niranjan; Michelle G Richards; Hong Wang; Anne T Collins; Norman J Maitland; Gail P Risbridger
Journal:  Nat Protoc       Date:  2013-04-04       Impact factor: 13.491

  7 in total

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