Literature DB >> 28819021

Phenotypic Heterogeneity of Circulating Tumor Cells Informs Clinical Decisions between AR Signaling Inhibitors and Taxanes in Metastatic Prostate Cancer.

Howard I Scher1,2, Ryon P Graf3, Nicole A Schreiber4, Brigit McLaughlin4, Adam Jendrisak3, Yipeng Wang3, Jerry Lee3, Stephanie Greene3, Rachel Krupa3, David Lu3, Pascal Bamford3, Jessica E Louw3, Lyndsey Dugan3, Hebert A Vargas5, Martin Fleisher6, Mark Landers3, Glenn Heller7, Ryan Dittamore3.   

Abstract

The heterogeneity of an individual patient's tumor has been linked to treatment resistance, but quantitative biomarkers to rapidly and reproducibly evaluate heterogeneity in a clinical setting are currently lacking. Using established tools available in a College of American Pathologists-accredited and Clinical Laboratory Improvement Amendments-certified clinical laboratory, we quantified digital pathology features on 9,225 individual circulating tumor cells (CTC) from 179 unique metastatic castration-resistant prostate cancer (mCRPC) patients to define phenotypically distinct cell types. Heterogeneity was quantified on the basis of the diversity of cell types in individual patient samples using the Shannon index and associated with overall survival (OS) in the 145 specimens collected prior to initiation of the second or later lines of therapy. Low CTC phenotypic heterogeneity was associated with better OS in patients treated with androgen receptor signaling inhibitors (ARSI), whereas high heterogeneity was associated with better OS in patients treated with taxane chemotherapy. Overall, the results show that quantifying CTC phenotypic heterogeneity can help inform the choice between ARSI and taxanes in mCRPC patients. Cancer Res; 77(20); 5687-98. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28819021      PMCID: PMC5666339          DOI: 10.1158/0008-5472.CAN-17-1353

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  43 in total

1.  Analysis of microarray data using Z score transformation.

Authors:  Chris Cheadle; Marquis P Vawter; William J Freed; Kevin G Becker
Journal:  J Mol Diagn       Date:  2003-05       Impact factor: 5.568

2.  Genetic and phenotypic diversity in breast tumor metastases.

Authors:  Vanessa Almendro; Hee Jung Kim; Yu-Kang Cheng; Mithat Gönen; Shalev Itzkovitz; Pedram Argani; Alexander van Oudenaarden; Saraswati Sukumar; Franziska Michor; Kornelia Polyak
Journal:  Cancer Res       Date:  2014-01-21       Impact factor: 12.701

3.  BioPEPR: a system for the automatic prescreening of cervical smears.

Authors:  D J Zahniser; P S Oud; M C Raaijmakers; G P Vooys; R T Van de Walle
Journal:  J Histochem Cytochem       Date:  1979-01       Impact factor: 2.479

4.  Basic performance tests on the CERVIFIP linear array prescreener.

Authors:  J H Tucker; G Shippey
Journal:  Anal Quant Cytol       Date:  1983-06

5.  Heterogeneity of PIK3CA mutational status at the single cell level in circulating tumor cells from metastatic breast cancer patients.

Authors:  Marta Pestrin; Francesca Salvianti; Francesca Galardi; Francesca De Luca; Natalie Turner; Luca Malorni; Mario Pazzagli; Angelo Di Leo; Pamela Pinzani
Journal:  Mol Oncol       Date:  2014-12-09       Impact factor: 6.603

6.  Circulating tumour cells as prognostic markers in progressive, castration-resistant prostate cancer: a reanalysis of IMMC38 trial data.

Authors:  Howard I Scher; Xiaoyu Jia; Johann S de Bono; Martin Fleisher; Kenneth J Pienta; Derek Raghavan; Glenn Heller
Journal:  Lancet Oncol       Date:  2009-02-11       Impact factor: 41.316

Review 7.  Intratumor heterogeneity: evolution through space and time.

Authors:  Charles Swanton
Journal:  Cancer Res       Date:  2012-09-20       Impact factor: 12.701

Review 8.  Implications of intratumour heterogeneity for treatment stratification.

Authors:  Andrew Crockford; Mariam Jamal-Hanjani; James Hicks; Charles Swanton
Journal:  J Pathol       Date:  2014-01       Impact factor: 7.996

9.  Analytical Validation and Capabilities of the Epic CTC Platform: Enrichment-Free Circulating Tumour Cell Detection and Characterization.

Authors:  Shannon L Werner; Ryon P Graf; Mark Landers; David T Valenta; Matthew Schroeder; Stephanie B Greene; Natalee Bales; Ryan Dittamore; Dena Marrinucci
Journal:  J Circ Biomark       Date:  2015-05-05

Review 10.  Deciphering intratumor heterogeneity and temporal acquisition of driver events to refine precision medicine.

Authors:  Crispin Hiley; Elza C de Bruin; Nicholas McGranahan; Charles Swanton
Journal:  Genome Biol       Date:  2014-08-27       Impact factor: 13.583

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  48 in total

Review 1.  CTC-derived AR-V7 detection as a prognostic and predictive biomarker in advanced prostate cancer.

Authors:  Diogo A Bastos; Emmanuel S Antonarakis
Journal:  Expert Rev Mol Diagn       Date:  2018-01-16       Impact factor: 5.225

2.  Assessment of the Validity of Nuclear-Localized Androgen Receptor Splice Variant 7 in Circulating Tumor Cells as a Predictive Biomarker for Castration-Resistant Prostate Cancer.

Authors:  Howard I Scher; Ryon P Graf; Nicole A Schreiber; Anuradha Jayaram; Eric Winquist; Brigit McLaughlin; David Lu; Martin Fleisher; Sarah Orr; Lori Lowes; Amanda Anderson; Yipeng Wang; Ryan Dittamore; Alison L Allan; Gerhardt Attard; Glenn Heller
Journal:  JAMA Oncol       Date:  2018-09-01       Impact factor: 31.777

3.  Delta-like protein 3 expression and therapeutic targeting in neuroendocrine prostate cancer.

Authors:  Loredana Puca; Katie Gavyert; Verena Sailer; Vincenza Conteduca; Etienne Dardenne; Michael Sigouros; Kumiko Isse; Megan Kearney; Aram Vosoughi; Luisa Fernandez; Heng Pan; Samaneh Motanagh; Judy Hess; Adam J Donoghue; Andrea Sboner; Yuzhuo Wang; Ryan Dittamore; David Rickman; David M Nanus; Scott T Tagawa; Olivier Elemento; Juan Miguel Mosquera; Laura Saunders; Himisha Beltran
Journal:  Sci Transl Med       Date:  2019-03-20       Impact factor: 17.956

Review 4.  Applications of liquid biopsy in the Pharmacological Audit Trail for anticancer drug development.

Authors:  Abhijit Pal; Rajiv Shinde; Manuel Selvi Miralles; Paul Workman; Johann de Bono
Journal:  Nat Rev Clin Oncol       Date:  2021-03-24       Impact factor: 66.675

Review 5.  Prostate-specific markers to identify rare prostate cancer cells in liquid biopsies.

Authors:  Emma E van der Toom; Haley D Axelrod; Jean J de la Rosette; Theo M de Reijke; Kenneth J Pienta; Kenneth C Valkenburg
Journal:  Nat Rev Urol       Date:  2019-01       Impact factor: 14.432

Review 6.  [Innovations in personalized medicine : Molecular characterization of liquid biopsy-fake or fact?]

Authors:  G Theil; P Fornara
Journal:  Urologe A       Date:  2018-09       Impact factor: 0.639

Review 7.  Concise Review: Prostate Cancer Stem Cells: Current Understanding.

Authors:  Sergej Skvortsov; Ira-Ida Skvortsova; Dean G Tang; Anna Dubrovska
Journal:  Stem Cells       Date:  2018-08-27       Impact factor: 6.277

8.  Prostate cancer: CTC phenotype informs treatment type.

Authors:  Louise Stone
Journal:  Nat Rev Urol       Date:  2017-09-12       Impact factor: 14.432

Review 9.  Development and Application of Liquid Biopsies in Metastatic Prostate Cancer.

Authors:  Gareth J Morrison; Amir Goldkorn
Journal:  Curr Oncol Rep       Date:  2018-03-23       Impact factor: 5.075

10.  Androgen receptor variant-driven prostate cancer II: advances in clinical investigation.

Authors:  Emmanuel S Antonarakis; Jun Luo; Andrew J Armstrong; Landon C Brown; Changxue Lu
Journal:  Prostate Cancer Prostatic Dis       Date:  2020-02-24       Impact factor: 5.554

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