Literature DB >> 31075299

PTEN and ERG detection in multiparametric magnetic resonance imaging/ultrasound fusion targeted prostate biopsy compared to systematic biopsy.

Erin Baumgartner1, Maria Del Carmen Rodriguez Pena1, Marie-Lisa Eich1, Kristin K Porter2, Jeffrey W Nix3, Soroush Rais-Bahrami4, Jennifer Gordetsky5.   

Abstract

Multiparametric magnetic resonance imaging (MRI)/ultrasound fusion targeted prostate biopsy has been shown to outperform systematic biopsy in the detection of clinically significant prostate cancer. Aside from tumor grade, tumor biomarkers such as phosphatase and tensin homolog (PTEN) and ETS-related gene (ERG) have prognostic significance in prostate cancer and may help direct management of patients with low-grade tumors. Our objective was to compare the detection of PTEN and ERG expression in MRI-targeted versus systematic prostate biopsies. We compared immunohistochemical expression for PTEN and ERG on prostate biopsy cores from patients with Grade Group (GG) 1 or GG2 prostate cancer who had undergone systematic biopsy with concurrent targeted biopsy. Fifty-three cases had both systematic and MRI-targeted prostate tissue available for staining for PTEN; and 52 cases, for ERG. ERG positivity was seen in 37/52 (71.2%) cases, and PTEN loss was seen in 15/53 (28.3%) cases. The detection of ERG expression was not significantly different between MRI-targeted and systematic biopsy (P = .4). Targeted biopsy was superior to systematic biopsy in the detection of PTEN loss (P = .02). MRI-targeted cores detected 14/15 (93.3%) cases of PTEN loss compared to 7/15 (46.7%) cases detected by systematic cores. Most cases with PTEN loss showed heterogeneous expression in both systematic and targeted cores. In 14/15 (93.3%) cases with PTEN loss, GG was the same between targeted and systematic biopsy. Targeted biopsy is superior to systematic biopsy in the detection of PTEN loss in GG1 and GG2 tumors. Inclusion of targeted cores may be helpful for evaluation of certain prognostic biomarkers.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ERG; ETS-related gene; Magnetic resonance imaging; Pathology; Phosphatase and tensin homolog; Prostate adenocarcinoma

Mesh:

Substances:

Year:  2019        PMID: 31075299      PMCID: PMC8983100          DOI: 10.1016/j.humpath.2019.04.016

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


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Authors:  Nienke L Hansen; Claudia Kesch; Tristan Barrett; Brendan Koo; Jan P Radtke; David Bonekamp; Heinz-Peter Schlemmer; Anne Y Warren; Kathrin Wieczorek; Markus Hohenfellner; Christof Kastner; Boris Hadaschik
Journal:  BJU Int       Date:  2016-12-21       Impact factor: 5.588

4.  Defining the optimal method for reporting prostate cancer grade and tumor extent on magnetic resonance/ultrasound fusion-targeted biopsies.

Authors:  Jennifer B Gordetsky; Luciana Schultz; Kristin K Porter; Jeffrey W Nix; John V Thomas; Maria Del Carmen Rodriguez Pena; Soroush Rais-Bahrami
Journal:  Hum Pathol       Date:  2018-03-16       Impact factor: 3.466

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7.  Aberrant ERG expression cooperates with loss of PTEN to promote cancer progression in the prostate.

Authors:  Brett S Carver; Jennifer Tran; Anuradha Gopalan; Zhenbang Chen; Safa Shaikh; Arkaitz Carracedo; Andrea Alimonti; Caterina Nardella; Shohreh Varmeh; Peter T Scardino; Carlos Cordon-Cardo; William Gerald; Pier Paolo Pandolfi
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8.  Direct comparison of multiparametric magnetic resonance imaging (MRI) results with final histopathology in patients with proven prostate cancer in MRI/ultrasonography-fusion biopsy.

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9.  Perineural Invasion in Prostate Cancer Is More Frequently Detected by Multiparametric MRI Targeted Biopsy Compared With Standard Biopsy.

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10.  Detection of extraprostatic disease and seminal vesicle invasion in patients undergoing magnetic resonance imaging-targeted prostate biopsies.

Authors:  Erin M Baumgartner; Kristin K Porter; Jeffrey W Nix; Soroush Rais-Bahrami; Jennifer B Gordetsky
Journal:  Transl Androl Urol       Date:  2018-09
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Review 2.  Genetic Landscape of Prostate Cancer Conspicuity on Multiparametric Magnetic Resonance Imaging: A Systematic Review and Bioinformatic Analysis.

Authors:  Joseph M Norris; Benjamin S Simpson; Marina A Parry; Clare Allen; Rhys Ball; Alex Freeman; Daniel Kelly; Hyung L Kim; Alex Kirkham; Sungyong You; Veeru Kasivisvanathan; Hayley C Whitaker; Mark Emberton
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Review 3.  Poly(ADP-Ribose) Polymerase Inhibitors in Prostate Cancer: Molecular Mechanisms, and Preclinical and Clinical Data.

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