Literature DB >> 35084050

Implementation of a prostate cancer-specific targeted sequencing panel for credentialing of patient-derived cell lines and genomic characterization of patient samples.

Elizabeth H Stover1,2,3, Coyin Oh2,3, Paula Keskula2, Atish D Choudhury1,2,3, Yuen-Yi Tseng2, Viktor A Adalsteinsson2, Jens G Lohr1,2,3, Aaron R Thorner1, Matthew Ducar1, Gregory V Kryukov1,2,3, Gavin Ha4, Mara Rosenberg2,5, Samuel S Freeman2, Zhenwei Zhang1,6, Xiaoyun Wu2, Eliezer M Van Allen1,2,3, David Y Takeda7, Massimo Loda1,2,8, Chin-Lee Wu3,9, Mary-Ellen Taplin1,3, Levi A Garraway10, Jesse S Boehm2, Franklin W Huang11,12.   

Abstract

BACKGROUND: Primary and metastatic prostate cancers have low mutation rates and recurrent alterations in a small set of genes, enabling targeted sequencing of prostate cancer-associated genes as an efficient approach to characterizing patient samples (compared to whole-exome and whole-genome sequencing). For example, targeted sequencing provides a flexible, rapid, and cost-effective method for genomic assessment of patient-derived cell lines to evaluate fidelity to initial patient tumor samples.
METHODS: We developed a prostate cancer-specific targeted next-generation sequencing (NGS) panel to detect alterations in 62 prostate cancer-associated genes as well as recurring gene fusions with ETS family members, representing the majority of common alterations in prostate cancer. We tested this panel on primary prostate cancer tissues and blood biopsies from patients with metastatic prostate cancer. We generated patient-derived cell lines from primary prostate cancers using conditional reprogramming methods and applied targeted sequencing to evaluate the fidelity of these cell lines to the original patient tumors.
RESULTS: The prostate cancer-specific panel identified biologically and clinically relevant alterations, including point mutations in driver oncogenes and ETS family fusion genes, in tumor tissues from 29 radical prostatectomy samples. The targeted panel also identified genomic alterations in cell-free DNA and circulating tumor cells (CTCs) from patients with metastatic prostate cancer, and in standard prostate cancer cell lines. We used the targeted panel to sequence our set of patient-derived cell lines; however, no prostate cancer-specific mutations were identified in the tumor-derived cell lines, suggesting preferential outgrowth of normal prostate epithelial cells.
CONCLUSIONS: We evaluated a prostate cancer-specific targeted NGS panel to detect common and clinically relevant alterations (including ETS family gene fusions) in prostate cancer. The panel detected driver mutations in a diverse set of clinical samples of prostate cancer, including fresh-frozen tumors, cell-free DNA, CTCs, and cell lines. Targeted sequencing of patient-derived cell lines highlights the challenge of deriving cell lines from primary prostate cancers and the importance of genomic characterization to credential candidate cell lines. Our study supports that a prostate cancer-specific targeted sequencing panel provides an efficient, clinically feasible approach to identify genetic alterations across a spectrum of prostate cancer samples and cell lines.
© 2022 Wiley Periodicals LLC.

Entities:  

Keywords:  cell-free DNA; gene rearrangements; next-generation sequencing; patient-derived cell lines; prostate cancer

Mesh:

Substances:

Year:  2022        PMID: 35084050      PMCID: PMC8887817          DOI: 10.1002/pros.24305

Source DB:  PubMed          Journal:  Prostate        ISSN: 0270-4137            Impact factor:   4.012


  58 in total

1.  A Pilot Study of Clinical Targeted Next Generation Sequencing for Prostate Cancer: Consequences for Treatment and Genetic Counseling.

Authors:  Heather H Cheng; Nola Klemfuss; Bruce Montgomery; Celestia S Higano; Michael T Schweizer; Elahe A Mostaghel; Lisa G McFerrin; Evan Y Yu; Peter S Nelson; Colin C Pritchard
Journal:  Prostate       Date:  2016-06-21       Impact factor: 4.104

2.  Integrative clinical genomics of advanced prostate cancer.

Authors:  Dan Robinson; Eliezer M Van Allen; Yi-Mi Wu; Nikolaus Schultz; Robert J Lonigro; Juan-Miguel Mosquera; Bruce Montgomery; Mary-Ellen Taplin; Colin C Pritchard; Gerhardt Attard; Himisha Beltran; Wassim Abida; Robert K Bradley; Jake Vinson; Xuhong Cao; Pankaj Vats; Lakshmi P Kunju; Maha Hussain; Felix Y Feng; Scott A Tomlins; Kathleen A Cooney; David C Smith; Christine Brennan; Javed Siddiqui; Rohit Mehra; Yu Chen; Dana E Rathkopf; Michael J Morris; Stephen B Solomon; Jeremy C Durack; Victor E Reuter; Anuradha Gopalan; Jianjiong Gao; Massimo Loda; Rosina T Lis; Michaela Bowden; Stephen P Balk; Glenn Gaviola; Carrie Sougnez; Manaswi Gupta; Evan Y Yu; Elahe A Mostaghel; Heather H Cheng; Hyojeong Mulcahy; Lawrence D True; Stephen R Plymate; Heidi Dvinge; Roberta Ferraldeschi; Penny Flohr; Susana Miranda; Zafeiris Zafeiriou; Nina Tunariu; Joaquin Mateo; Raquel Perez-Lopez; Francesca Demichelis; Brian D Robinson; Marc Schiffman; David M Nanus; Scott T Tagawa; Alexandros Sigaras; Kenneth W Eng; Olivier Elemento; Andrea Sboner; Elisabeth I Heath; Howard I Scher; Kenneth J Pienta; Philip Kantoff; Johann S de Bono; Mark A Rubin; Peter S Nelson; Levi A Garraway; Charles L Sawyers; Arul M Chinnaiyan
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

3.  A framework for variation discovery and genotyping using next-generation DNA sequencing data.

Authors:  Mark A DePristo; Eric Banks; Ryan Poplin; Kiran V Garimella; Jared R Maguire; Christopher Hartl; Anthony A Philippakis; Guillermo del Angel; Manuel A Rivas; Matt Hanna; Aaron McKenna; Tim J Fennell; Andrew M Kernytsky; Andrey Y Sivachenko; Kristian Cibulskis; Stacey B Gabriel; David Altshuler; Mark J Daly
Journal:  Nat Genet       Date:  2011-04-10       Impact factor: 38.330

4.  Discovery and saturation analysis of cancer genes across 21 tumour types.

Authors:  Michael S Lawrence; Petar Stojanov; Craig H Mermel; James T Robinson; Levi A Garraway; Todd R Golub; Matthew Meyerson; Stacey B Gabriel; Eric S Lander; Gad Getz
Journal:  Nature       Date:  2014-01-05       Impact factor: 49.962

5.  BreaKmer: detection of structural variation in targeted massively parallel sequencing data using kmers.

Authors:  Ryan P Abo; Matthew Ducar; Elizabeth P Garcia; Aaron R Thorner; Vanesa Rojas-Rudilla; Ling Lin; Lynette M Sholl; William C Hahn; Matthew Meyerson; Neal I Lindeman; Paul Van Hummelen; Laura E MacConaill
Journal:  Nucleic Acids Res       Date:  2014-11-26       Impact factor: 16.971

6.  Patient derived organoids to model rare prostate cancer phenotypes.

Authors:  Loredana Puca; Rohan Bareja; Davide Prandi; Reid Shaw; Matteo Benelli; Wouter R Karthaus; Judy Hess; Michael Sigouros; Adam Donoghue; Myriam Kossai; Dong Gao; Joanna Cyrta; Verena Sailer; Aram Vosoughi; Chantal Pauli; Yelena Churakova; Cynthia Cheung; Lesa Dayal Deonarine; Terra J McNary; Rachele Rosati; Scott T Tagawa; David M Nanus; Juan Miguel Mosquera; Charles L Sawyers; Yu Chen; Giorgio Inghirami; Rema A Rao; Carla Grandori; Olivier Elemento; Andrea Sboner; Francesca Demichelis; Mark A Rubin; Himisha Beltran
Journal:  Nat Commun       Date:  2018-06-19       Impact factor: 14.919

7.  Genomic Hallmarks and Structural Variation in Metastatic Prostate Cancer.

Authors:  David A Quigley; Ha X Dang; Shuang G Zhao; Paul Lloyd; Rahul Aggarwal; Joshi J Alumkal; Adam Foye; Vishal Kothari; Marc D Perry; Adina M Bailey; Denise Playdle; Travis J Barnard; Li Zhang; Jin Zhang; Jack F Youngren; Marcin P Cieslik; Abhijit Parolia; Tomasz M Beer; George Thomas; Kim N Chi; Martin Gleave; Nathan A Lack; Amina Zoubeidi; Robert E Reiter; Matthew B Rettig; Owen Witte; Charles J Ryan; Lawrence Fong; Won Kim; Terence Friedlander; Jonathan Chou; Haolong Li; Rajdeep Das; Hui Li; Ruhollah Moussavi-Baygi; Hani Goodarzi; Luke A Gilbert; Primo N Lara; Christopher P Evans; Theodore C Goldstein; Joshua M Stuart; Scott A Tomlins; Daniel E Spratt; R Keira Cheetham; Donavan T Cheng; Kyle Farh; Julian S Gehring; Jörg Hakenberg; Arnold Liao; Philip G Febbo; John Shon; Brad Sickler; Serafim Batzoglou; Karen E Knudsen; Housheng H He; Jiaoti Huang; Alexander W Wyatt; Scott M Dehm; Alan Ashworth; Arul M Chinnaiyan; Christopher A Maher; Eric J Small; Felix Y Feng
Journal:  Cell       Date:  2018-07-19       Impact factor: 41.582

8.  Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples.

Authors:  Kristian Cibulskis; Michael S Lawrence; Scott L Carter; Andrey Sivachenko; David Jaffe; Carrie Sougnez; Stacey Gabriel; Matthew Meyerson; Eric S Lander; Gad Getz
Journal:  Nat Biotechnol       Date:  2013-02-10       Impact factor: 54.908

9.  The long tail of oncogenic drivers in prostate cancer.

Authors:  Joshua Armenia; Stephanie A M Wankowicz; David Liu; Jianjiong Gao; Ritika Kundra; Ed Reznik; Walid K Chatila; Debyani Chakravarty; G Celine Han; Ilsa Coleman; Bruce Montgomery; Colin Pritchard; Colm Morrissey; Christopher E Barbieri; Himisha Beltran; Andrea Sboner; Zafeiris Zafeiriou; Susana Miranda; Craig M Bielski; Alexander V Penson; Charlotte Tolonen; Franklin W Huang; Dan Robinson; Yi Mi Wu; Robert Lonigro; Levi A Garraway; Francesca Demichelis; Philip W Kantoff; Mary-Ellen Taplin; Wassim Abida; Barry S Taylor; Howard I Scher; Peter S Nelson; Johann S de Bono; Mark A Rubin; Charles L Sawyers; Arul M Chinnaiyan; Nikolaus Schultz; Eliezer M Van Allen
Journal:  Nat Genet       Date:  2018-04-02       Impact factor: 38.330

10.  Cell-free DNA profiling of metastatic prostate cancer reveals microsatellite instability, structural rearrangements and clonal hematopoiesis.

Authors:  Markus Mayrhofer; Bram De Laere; Tom Whitington; Peter Van Oyen; Christophe Ghysel; Jozef Ampe; Piet Ost; Wim Demey; Lucien Hoekx; Dirk Schrijvers; Barbara Brouwers; Willem Lybaert; Els Everaert; Daan De Maeseneer; Michiel Strijbos; Alain Bols; Karen Fransis; Steffi Oeyen; Pieter-Jan van Dam; Gert Van den Eynden; Annemie Rutten; Markus Aly; Tobias Nordström; Steven Van Laere; Mattias Rantalainen; Prabhakar Rajan; Lars Egevad; Anders Ullén; Jeffrey Yachnin; Luc Dirix; Henrik Grönberg; Johan Lindberg
Journal:  Genome Med       Date:  2018-11-21       Impact factor: 11.117

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