Literature DB >> 28661898

Genomic testing for localized prostate cancer: where do we go from here?

Stacy Loeb1, Ashley E Ross.   

Abstract

PURPOSE OF REVIEW: The goal of this article is to discuss current genomic testing options in localized prostate cancer. RECENT
FINDINGS: There are multiple genomic tests currently available for men with localized prostate cancer. Prolaris, OncotypeDx, and Decipher can all be tested using biopsy tissue. Prolaris and Decipher are also available for men undergoing radical prostatectomy to predict subsequent disease progression.
SUMMARY: The Prolaris cell cycle progression score measured on biopsy predicts the risk of prostate cancer death in 10 years with conservative management, whereas, the primary endpoint for the OncotypeDx genomic prostate score is the risk of adverse disease at radical prostatectomy. Decipher measures genome-wide RNA expression, and its Genomic Classifier signature was initially designed to predict the risk of metastasis for men with adverse disease at radical prostatectomy, and more recently, a biopsy version was released. Recently, Decipher signatures predicting prostate cancer cell lineage and postoperative radiation sensitivity have also been described. Any of these tests can be used by men with localized prostate cancer to provide additional prognostic risk stratification to aid in treatment decisions.

Entities:  

Mesh:

Year:  2017        PMID: 28661898      PMCID: PMC5674810          DOI: 10.1097/MOU.0000000000000419

Source DB:  PubMed          Journal:  Curr Opin Urol        ISSN: 0963-0643            Impact factor:   2.309


  27 in total

1.  Tissue-based Genomics Augments Post-prostatectomy Risk Stratification in a Natural History Cohort of Intermediate- and High-Risk Men.

Authors:  Ashley E Ross; Michael H Johnson; Kasra Yousefi; Elai Davicioni; George J Netto; Luigi Marchionni; Helen L Fedor; Stephanie Glavaris; Voleak Choeurng; Christine Buerki; Nicholas Erho; Lucia L Lam; Elizabeth B Humphreys; Sheila Faraj; Stephania M Bezerra; Misop Han; Alan W Partin; Bruce J Trock; Edward M Schaeffer
Journal:  Eur Urol       Date:  2015-06-06       Impact factor: 20.096

2.  Genomic Classifier Augments the Role of Pathological Features in Identifying Optimal Candidates for Adjuvant Radiation Therapy in Patients With Prostate Cancer: Development and Internal Validation of a Multivariable Prognostic Model.

Authors:  Deepansh Dalela; María Santiago-Jiménez; Kasra Yousefi; R Jeffrey Karnes; Ashley E Ross; Robert B Den; Stephen J Freedland; Edward M Schaeffer; Adam P Dicker; Mani Menon; Alberto Briganti; Elai Davicioni; Firas Abdollah
Journal:  J Clin Oncol       Date:  2017-03-28       Impact factor: 44.544

3.  A genomic classifier improves prediction of metastatic disease within 5 years after surgery in node-negative high-risk prostate cancer patients managed by radical prostatectomy without adjuvant therapy.

Authors:  Eric A Klein; Kasra Yousefi; Zaid Haddad; Voleak Choeurng; Christine Buerki; Andrew J Stephenson; Jianbo Li; Michael W Kattan; Cristina Magi-Galluzzi; Elai Davicioni
Journal:  Eur Urol       Date:  2014-11-12       Impact factor: 20.096

4.  Cell cycle progression score and treatment decisions in prostate cancer: results from an ongoing registry.

Authors:  E David Crawford; Mark C Scholz; Ashok J Kar; Jeffrey E Fegan; Abebe Haregewoin; Rajesh R Kaldate; Michael K Brawer
Journal:  Curr Med Res Opin       Date:  2014-03-13       Impact factor: 2.580

5.  Combined value of validated clinical and genomic risk stratification tools for predicting prostate cancer mortality in a high-risk prostatectomy cohort.

Authors:  Matthew R Cooperberg; Elai Davicioni; Anamaria Crisan; Robert B Jenkins; Mercedeh Ghadessi; R Jeffrey Karnes
Journal:  Eur Urol       Date:  2014-07-02       Impact factor: 20.096

6.  Validation of a genomic classifier that predicts metastasis following radical prostatectomy in an at risk patient population.

Authors:  R Jeffrey Karnes; Eric J Bergstralh; Elai Davicioni; Mercedeh Ghadessi; Christine Buerki; Anirban P Mitra; Anamaria Crisan; Nicholas Erho; Ismael A Vergara; Lucia L Lam; Rachel Carlson; Darby J S Thompson; Zaid Haddad; Benedikt Zimmermann; Thomas Sierocinski; Timothy J Triche; Thomas Kollmeyer; Karla V Ballman; Peter C Black; George G Klee; Robert B Jenkins
Journal:  J Urol       Date:  2013-06-11       Impact factor: 7.450

7.  Decipher Genomic Classifier Measured on Prostate Biopsy Predicts Metastasis Risk.

Authors:  Eric A Klein; Zaid Haddad; Kasra Yousefi; Lucia L C Lam; Qiqi Wang; Voleak Choeurng; Beatrix Palmer-Aronsten; Christine Buerki; Elai Davicioni; Jianbo Li; Michael W Kattan; Andrew J Stephenson; Cristina Magi-Galluzzi
Journal:  Urology       Date:  2016-01-22       Impact factor: 2.649

8.  Validation of a cell-cycle progression gene panel to improve risk stratification in a contemporary prostatectomy cohort.

Authors:  Matthew R Cooperberg; Jeffry P Simko; Janet E Cowan; Julia E Reid; Azita Djalilvand; Satish Bhatnagar; Alexander Gutin; Jerry S Lanchbury; Gregory P Swanson; Steven Stone; Peter R Carroll
Journal:  J Clin Oncol       Date:  2013-03-04       Impact factor: 44.544

9.  Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy.

Authors:  Nicholas Erho; Anamaria Crisan; Ismael A Vergara; Anirban P Mitra; Mercedeh Ghadessi; Christine Buerki; Eric J Bergstralh; Thomas Kollmeyer; Stephanie Fink; Zaid Haddad; Benedikt Zimmermann; Thomas Sierocinski; Karla V Ballman; Timothy J Triche; Peter C Black; R Jeffrey Karnes; George Klee; Elai Davicioni; Robert B Jenkins
Journal:  PLoS One       Date:  2013-06-24       Impact factor: 3.240

10.  Prognostic value of a cell cycle progression signature for prostate cancer death in a conservatively managed needle biopsy cohort.

Authors:  J Cuzick; D M Berney; G Fisher; D Mesher; H Møller; J E Reid; M Perry; J Park; A Younus; A Gutin; C S Foster; P Scardino; J S Lanchbury; S Stone
Journal:  Br J Cancer       Date:  2012-02-23       Impact factor: 7.640

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  8 in total

Review 1.  Future Perspectives and Challenges of Prostate MR Imaging.

Authors:  Baris Turkbey; Peter L Choyke
Journal:  Radiol Clin North Am       Date:  2017-12-09       Impact factor: 2.303

Review 2.  Genomic and phenotypic heterogeneity in prostate cancer.

Authors:  Michael C Haffner; Wilbert Zwart; Martine P Roudier; Lawrence D True; William G Nelson; Jonathan I Epstein; Angelo M De Marzo; Peter S Nelson; Srinivasan Yegnasubramanian
Journal:  Nat Rev Urol       Date:  2020-12-16       Impact factor: 14.432

3.  Gene expression profiles define molecular subtypes of prostate cancer bone metastases with different outcomes and morphology traceable back to the primary tumor.

Authors:  Elin Thysell; Linda Vidman; Erik Bovinder Ylitalo; Emma Jernberg; Sead Crnalic; Diego Iglesias-Gato; Amilcar Flores-Morales; Pär Stattin; Lars Egevad; Anders Widmark; Patrik Rydén; Anders Bergh; Pernilla Wikström
Journal:  Mol Oncol       Date:  2019-06-27       Impact factor: 6.603

4.  A Novel Predictor Tool of Biochemical Recurrence after Radical Prostatectomy Based on a Five-MicroRNA Tissue Signature.

Authors:  Zhongwei Zhao; Sabine Weickmann; Monika Jung; Michael Lein; Ergin Kilic; Carsten Stephan; Andreas Erbersdobler; Annika Fendler; Klaus Jung
Journal:  Cancers (Basel)       Date:  2019-10-21       Impact factor: 6.639

5.  Genetic Testing and Its Clinical Application in Prostate Cancer Management: Consensus Statements from the Hong Kong Urological Association and Hong Kong Society of Uro-Oncology.

Authors:  Peter K F Chiu; Eric K C Lee; Marco T Y Chan; Wilson H C Chan; M H Cheung; Martin H C Lam; Edmond S K Ma; Darren M C Poon
Journal:  Front Oncol       Date:  2022-07-18       Impact factor: 5.738

Review 6.  The Role of Radiation Therapy in the Older Patient.

Authors:  Ammoren Dohm; Roberto Diaz; Ronica H Nanda
Journal:  Curr Oncol Rep       Date:  2021-01-02       Impact factor: 5.075

Review 7.  The PTEN Conundrum: How to Target PTEN-Deficient Prostate Cancer.

Authors:  Daniel J Turnham; Nicholas Bullock; Manisha S Dass; John N Staffurth; Helen B Pearson
Journal:  Cells       Date:  2020-10-22       Impact factor: 6.600

8.  A 38-gene model comprised of key TET2-associated genes shows additive utility to high-risk prostate cancer cases in the prognostication of biochemical recurrence.

Authors:  Shivani Kamdar; Neil E Fleshner; Bharati Bapat
Journal:  BMC Cancer       Date:  2020-10-02       Impact factor: 4.430

  8 in total

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