Literature DB >> 26945428

Application of a Clinical Whole-Transcriptome Assay for Staging and Prognosis of Prostate Cancer Diagnosed in Needle Core Biopsy Specimens.

Beatrice S Knudsen1, Hyung L Kim2, Nicholas Erho3, Heesun Shin3, Mohammed Alshalalfa3, Lucia L C Lam3, Imelda Tenggara4, Karen Chadwich5, Theo Van Der Kwast6, Neil Fleshner5, Elai Davicioni7, Peter R Carroll4, Matthew R Cooperberg8, June M Chan8, Jeffry P Simko9.   

Abstract

Molecular and genomic analysis of microscopic quantities of tumor from formalin-fixed, paraffin-embedded biopsy specimens has many unique challenges. Herein, we evaluated the feasibility of obtaining transcriptome-wide RNA expression to measure prognostic classifiers in diagnostic prostate needle core biopsy specimens. One-hundred fifty-eight samples from diagnostic needle core biopsy specimens (BX) and radical prostatectomies (RPs) were collected from 33 patients at three hospitals; each patient provided up to six tumor and benign samples. Genome-wide transcriptomic profiles were generated using Affymetrix Human Exon arrays for comparison of gene expression alterations and prognostic signatures between the BX and RP samples. A sufficient amount of RNA (>100 ng) was obtained from all RP specimens (n = 77) and from 72 of 81 of BX specimens. Of transcriptomic features detected in RP, 95% were detectable in BX tissues and demonstrated a high correlation (r = 0.96). Likewise, an expression signature pattern validated on RPs (Decipher prognostic test) showed correlation between BX and RP (r = 0.70). Of matched BX and RP pairs, 25% showed discordant molecular subtypes. Genome-wide exon arrays yielded data of comparable quality from biopsy and RP tissues. The high concordance of tumor-associated gene expression changes between BX and RP samples provides evidence for the adequate performance of the assay platform with samples from prostate needle biopsy specimens with limited tumor volume.
Copyright © 2016 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 26945428      PMCID: PMC4851733          DOI: 10.1016/j.jmoldx.2015.12.006

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  31 in total

1.  Genomic classifier identifies men with adverse pathology after radical prostatectomy who benefit from adjuvant radiation therapy.

Authors:  Robert B Den; Kasra Yousefi; Edouard J Trabulsi; Firas Abdollah; Voleak Choeurng; Felix Y Feng; Adam P Dicker; Costas D Lallas; Leonard G Gomella; Elai Davicioni; R Jeffrey Karnes
Journal:  J Clin Oncol       Date:  2015-02-09       Impact factor: 44.544

2.  Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: a retrospective study.

Authors:  Jack Cuzick; Gregory P Swanson; Gabrielle Fisher; Arthur R Brothman; Daniel M Berney; Julia E Reid; David Mesher; V O Speights; Elzbieta Stankiewicz; Christopher S Foster; Henrik Møller; Peter Scardino; Jorja D Warren; Jimmy Park; Adib Younus; Darl D Flake; Susanne Wagner; Alexander Gutin; Jerry S Lanchbury; Steven Stone
Journal:  Lancet Oncol       Date:  2011-03       Impact factor: 41.316

3.  Factors influencing the degradation of archival formalin-fixed paraffin-embedded tissue sections.

Authors:  Ran Xie; Joon-Yong Chung; Kris Ylaya; Reginald L Williams; Natalie Guerrero; Nathan Nakatsuka; Cortessia Badie; Stephen M Hewitt
Journal:  J Histochem Cytochem       Date:  2011-02-10       Impact factor: 2.479

Review 4.  High-risk prostate cancer-classification and therapy.

Authors:  Albert J Chang; Karen A Autio; Mack Roach; Howard I Scher
Journal:  Nat Rev Clin Oncol       Date:  2014-05-20       Impact factor: 66.675

5.  mRNA expression signature of Gleason grade predicts lethal prostate cancer.

Authors:  Kathryn L Penney; Jennifer A Sinnott; Katja Fall; Yudi Pawitan; Yujin Hoshida; Peter Kraft; Jennifer R Stark; Michelangelo Fiorentino; Sven Perner; Stephen Finn; Stefano Calza; Richard Flavin; Matthew L Freedman; Sunita Setlur; Howard D Sesso; Swen-Olof Andersson; Neil Martin; Philip W Kantoff; Jan-Erik Johansson; Hans-Olov Adami; Mark A Rubin; Massimo Loda; Todd R Golub; Ove Andrén; Meir J Stampfer; Lorelei A Mucci
Journal:  J Clin Oncol       Date:  2011-05-02       Impact factor: 44.544

6.  Cancer statistics, 2012.

Authors:  Rebecca Siegel; Deepa Naishadham; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2012-01-04       Impact factor: 508.702

Review 7.  The clinical and economic implications of specimen provenance complications in diagnostic prostate biopsies.

Authors:  Kirk Wojno; John Hornberger; Paul Schellhammer; Minghan Dai; Travis Morgan
Journal:  J Urol       Date:  2014-11-14       Impact factor: 7.450

8.  Global gene expression profiling of formalin-fixed paraffin-embedded tumor samples: a comparison to snap-frozen material using oligonucleotide microarrays.

Authors:  Matthias Frank; Claudia Döring; Dirk Metzler; Susan Eckerle; Martin-Leo Hansmann
Journal:  Virchows Arch       Date:  2007-05-04       Impact factor: 4.064

9.  A single-sample microarray normalization method to facilitate personalized-medicine workflows.

Authors:  Stephen R Piccolo; Ying Sun; Joshua D Campbell; Marc E Lenburg; Andrea H Bild; W Evan Johnson
Journal:  Genomics       Date:  2012-08-19       Impact factor: 5.736

10.  Evolving transcriptomic fingerprint based on genome-wide data as prognostic tools in prostate cancer.

Authors:  Mohammed Alshalalfa; Mark Schliekelman; Heesun Shin; Nicholas Erho; Elai Davicioni
Journal:  Biol Cell       Date:  2015-06-16       Impact factor: 4.458

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  17 in total

1.  Contemporary Role of the Decipher® Test in Prostate Cancer Management: Current Practice and Future Perspectives.

Authors:  Deepansh Dalela; Björn Löppenberg; Akshay Sood; Jesse Sammon; Firas Abdollah
Journal:  Rev Urol       Date:  2016

2.  Comprehensive Determination of Prostate Tumor ETS Gene Status in Clinical Samples Using the CLIA Decipher Assay.

Authors:  Alba Torres; Mohammed Alshalalfa; Scott A Tomlins; Nicholas Erho; Ewan A Gibb; Jijumon Chelliserry; Lony Lim; Lucia L C Lam; Sheila F Faraj; Stephania M Bezerra; Elai Davicioni; Kasra Yousefi; Ashley E Ross; George J Netto; Edward M Schaeffer; Tamara L Lotan
Journal:  J Mol Diagn       Date:  2017-03-21       Impact factor: 5.568

Review 3.  Androgen receptor and miR-206 regulation in prostate cancer.

Authors:  Fu Y Chua; Brian D Adams
Journal:  Transcription       Date:  2017-06-09

Review 4.  Current Management Strategy for Active Surveillance in Prostate Cancer.

Authors:  Jamil S Syed; Juan Javier-Desloges; Stephanie Tatzel; Ansh Bhagat; Kevin A Nguyen; Kevin Hwang; Sarah Kim; Preston C Sprenkle
Journal:  Curr Oncol Rep       Date:  2017-02       Impact factor: 5.075

5.  Molecular Signature to Risk-Stratify Prostate Cancer of Intermediate Risk.

Authors:  Yu Yin; Qingfu Zhang; Hong Zhang; Yiping He; Jiaoti Huang
Journal:  Clin Cancer Res       Date:  2016-11-01       Impact factor: 12.531

6.  Intratumoral and Intertumoral Genomic Heterogeneity of Multifocal Localized Prostate Cancer Impacts Molecular Classifications and Genomic Prognosticators.

Authors:  Lei Wei; Jianmin Wang; Erika Lampert; Simon Schlanger; Adam D DePriest; Qiang Hu; Eduardo Cortes Gomez; Mitsuko Murakam; Sean T Glenn; Jeffrey Conroy; Carl Morrison; Gissou Azabdaftari; James L Mohler; Song Liu; Hannelore V Heemers
Journal:  Eur Urol       Date:  2016-07-21       Impact factor: 20.096

7.  Obtaining high quality transcriptome data from formalin-fixed, paraffin-embedded diagnostic prostate tumor specimens.

Authors:  Chol-Hee Jung; Ee Ming Wong; Liesel M FitzGerald; JiHoon E Joo; Jodee A Gould; Vivien Vasic; Julie K Bassett; Neil O'Callaghan; Tim Nottle; John Pedersen; Graham G Giles; Melissa C Southey
Journal:  Lab Invest       Date:  2018-01-16       Impact factor: 5.662

8.  Tissue-based biomarkers in prostate cancer.

Authors:  Timothy N Clinton; Aditya Bagrodia; Yair Lotan; Vitaly Margulis; Ganesh V Raj; Solomon L Woldu
Journal:  Expert Rev Precis Med Drug Dev       Date:  2017-09-05

Review 9.  Tissue-Based Biomarkers for the Risk Stratification of Men With Clinically Localized Prostate Cancer.

Authors:  Spyridon P Basourakos; Michael Tzeng; Patrick J Lewicki; Krishnan Patel; Bashir Al Hussein Al Awamlh; Siv Venkat; Jonathan E Shoag; Michael A Gorin; Christopher E Barbieri; Jim C Hu
Journal:  Front Oncol       Date:  2021-05-28       Impact factor: 6.244

10.  Biomarkers for Prostate Biopsy and Risk Stratification of Newly Diagnosed Prostate Cancer Patients.

Authors:  Stacy Loeb
Journal:  Urol Pract       Date:  2016-10-22
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