Literature DB >> 32747364

A Proof of Concept for Biomarker-Guided Targeted Therapy against Ovarian Cancer Based on Patient-Derived Tumor Xenografts.

Adam C Palmer1,2, Deborah Plana1,3,4, Hui Gao5, Juliet A Williams6, Peter K Sorger7,3, Joshua M Korn5, Guizhi Yang5, John Green5, Xiamei Zhang5, Roberto Velazquez5, Margaret E McLaughlin5, David A Ruddy5, Colleen Kowal5, Julie Muszynski5, Caroline Bullock5, Stacy Rivera5, Daniel P Rakiec5, GiNell Elliott5, Paul Fordjour5, Ronald Meyer5, Alice Loo5, Esther Kurth5, Jeffrey A Engelman5, Hans Bitter5, William R Sellers5.   

Abstract

Advanced ovarian cancers are a leading cause of cancer-related death in women and are currently treated with surgery and chemotherapy. This standard of care is often temporarily successful but exhibits a high rate of relapse, after which, treatment options are few. Here we investigate whether biomarker-guided use of multiple targeted therapies, including small molecules and antibody-drug conjugates, is a viable alternative. A panel of patient-derived ovarian cancer xenografts (PDX), similar in genetics and chemotherapy responsiveness to human tumors, was exposed to 21 monotherapies and combination therapies. Three monotherapies and one combination were found to be active in different subsets of PDX. Analysis of gene expression data identified biomarkers associated with responsiveness to each of the three targeted therapies, none of which directly inhibits an oncogenic driver. While no single treatment had as high a response rate as chemotherapy, nearly 90% of PDXs were eligible for and responded to at least one biomarker-guided treatment, including tumors resistant to standard chemotherapy. The distribution of biomarker positivity in The Cancer Genome Atlas data suggests the potential for a similar precision approach in human patients. SIGNIFICANCE: This study exploits a panel of patient-derived xenografts to demonstrate that most ovarian tumors can be matched to effective biomarker-guided treatments. ©2020 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32747364      PMCID: PMC7541581          DOI: 10.1158/0008-5472.CAN-19-3850

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


  43 in total

1.  A randomized clinical trial of cisplatin/paclitaxel versus carboplatin/paclitaxel as first-line treatment of ovarian cancer.

Authors:  Andreas du Bois; Hans-Joachim Lück; Werner Meier; Hans-Peter Adams; Volker Möbus; Serban Costa; Thomas Bauknecht; Barbara Richter; Matthias Warm; Willibald Schröder; Sigrid Olbricht; Ulrike Nitz; Christian Jackisch; Günther Emons; Uwe Wagner; Walther Kuhn; Jacobus Pfisterer
Journal:  J Natl Cancer Inst       Date:  2003-09-03       Impact factor: 13.506

2.  The problem of synergism and antagonism of combined drugs.

Authors:  S LOEWE
Journal:  Arzneimittelforschung       Date:  1953-06

3.  High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response.

Authors:  Hui Gao; Joshua M Korn; Stéphane Ferretti; John E Monahan; Youzhen Wang; Mallika Singh; Chao Zhang; Christian Schnell; Guizhi Yang; Yun Zhang; O Alejandro Balbin; Stéphanie Barbe; Hongbo Cai; Fergal Casey; Susmita Chatterjee; Derek Y Chiang; Shannon Chuai; Shawn M Cogan; Scott D Collins; Ernesta Dammassa; Nicolas Ebel; Millicent Embry; John Green; Audrey Kauffmann; Colleen Kowal; Rebecca J Leary; Joseph Lehar; Ying Liang; Alice Loo; Edward Lorenzana; E Robert McDonald; Margaret E McLaughlin; Jason Merkin; Ronald Meyer; Tara L Naylor; Montesa Patawaran; Anupama Reddy; Claudia Röelli; David A Ruddy; Fernando Salangsang; Francesca Santacroce; Angad P Singh; Yan Tang; Walter Tinetto; Sonja Tobler; Roberto Velazquez; Kavitha Venkatesan; Fabian Von Arx; Hui Qin Wang; Zongyao Wang; Marion Wiesmann; Daniel Wyss; Fiona Xu; Hans Bitter; Peter Atadja; Emma Lees; Francesco Hofmann; En Li; Nicholas Keen; Robert Cozens; Michael Rugaard Jensen; Nancy K Pryer; Juliet A Williams; William R Sellers
Journal:  Nat Med       Date:  2015-10-19       Impact factor: 53.440

4.  Olaparib plus Bevacizumab as First-Line Maintenance in Ovarian Cancer.

Authors:  Isabelle Ray-Coquard; Patricia Pautier; Sandro Pignata; David Pérol; Antonio González-Martín; Regina Berger; Keiichi Fujiwara; Ignace Vergote; Nicoletta Colombo; Johanna Mäenpää; Frédéric Selle; Jalid Sehouli; Domenica Lorusso; Eva M Guerra Alía; Alexander Reinthaller; Shoji Nagao; Claudia Lefeuvre-Plesse; Ulrich Canzler; Giovanni Scambia; Alain Lortholary; Frederik Marmé; Pierre Combe; Nikolaus de Gregorio; Manuel Rodrigues; Paul Buderath; Coraline Dubot; Alexander Burges; Benoît You; Eric Pujade-Lauraine; Philipp Harter
Journal:  N Engl J Med       Date:  2019-12-19       Impact factor: 91.245

5.  Clinical Utility of Patient-Derived Xenografts to Determine Biomarkers of Prognosis and Map Resistance Pathways in EGFR-Mutant Lung Adenocarcinoma.

Authors:  Erin L Stewart; Celine Mascaux; Nhu-An Pham; Shingo Sakashita; Jenna Sykes; Lucia Kim; Naoki Yanagawa; Ghassan Allo; Kota Ishizawa; Dennis Wang; Chang-Qi Zhu; Ming Li; Christine Ng; Ni Liu; Melania Pintilie; Petra Martin; Tom John; Igor Jurisica; Natasha B Leighl; Benjamin G Neel; Thomas K Waddell; Frances A Shepherd; Geoffrey Liu; Ming-Sound Tsao
Journal:  J Clin Oncol       Date:  2015-06-29       Impact factor: 44.544

Review 6.  Patient-derived tumor xenografts: transforming clinical samples into mouse models.

Authors:  Despina Siolas; Gregory J Hannon
Journal:  Cancer Res       Date:  2013-06-03       Impact factor: 12.701

7.  Combination Cancer Therapy Can Confer Benefit via Patient-to-Patient Variability without Drug Additivity or Synergy.

Authors:  Adam C Palmer; Peter K Sorger
Journal:  Cell       Date:  2017-12-14       Impact factor: 41.582

8.  The Public Repository of Xenografts Enables Discovery and Randomized Phase II-like Trials in Mice.

Authors:  Elizabeth C Townsend; Mark A Murakami; Alexandra Christodoulou; Amanda L Christie; Johannes Köster; Tiffany A DeSouza; Elizabeth A Morgan; Scott P Kallgren; Huiyun Liu; Shuo-Chieh Wu; Olivia Plana; Joan Montero; Kristen E Stevenson; Prakash Rao; Raga Vadhi; Michael Andreeff; Philippe Armand; Karen K Ballen; Patrizia Barzaghi-Rinaudo; Sarah Cahill; Rachael A Clark; Vesselina G Cooke; Matthew S Davids; Daniel J DeAngelo; David M Dorfman; Hilary Eaton; Benjamin L Ebert; Julia Etchin; Brant Firestone; David C Fisher; Arnold S Freedman; Ilene A Galinsky; Hui Gao; Jacqueline S Garcia; Francine Garnache-Ottou; Timothy A Graubert; Alejandro Gutierrez; Ensar Halilovic; Marian H Harris; Zachary T Herbert; Steven M Horwitz; Giorgio Inghirami; Andrew M Intlekofer; Moriko Ito; Shai Izraeli; Eric D Jacobsen; Caron A Jacobson; Sébastien Jeay; Irmela Jeremias; Michelle A Kelliher; Raphael Koch; Marina Konopleva; Nadja Kopp; Steven M Kornblau; Andrew L Kung; Thomas S Kupper; Nicole R LeBoeuf; Ann S LaCasce; Emma Lees; Loretta S Li; A Thomas Look; Masato Murakami; Markus Muschen; Donna Neuberg; Samuel Y Ng; Oreofe O Odejide; Stuart H Orkin; Rachel R Paquette; Andrew E Place; Justine E Roderick; Jeremy A Ryan; Stephen E Sallan; Brent Shoji; Lewis B Silverman; Robert J Soiffer; David P Steensma; Kimberly Stegmaier; Richard M Stone; Jerome Tamburini; Aaron R Thorner; Paul van Hummelen; Martha Wadleigh; Marion Wiesmann; Andrew P Weng; Jens U Wuerthner; David A Williams; Bruce M Wollison; Andrew A Lane; Anthony Letai; Monica M Bertagnolli; Jerome Ritz; Myles Brown; Henry Long; Jon C Aster; Margaret A Shipp; James D Griffin; David M Weinstock
Journal:  Cancer Cell       Date:  2016-04-11       Impact factor: 31.743

9.  High-throughput identification of genotype-specific cancer vulnerabilities in mixtures of barcoded tumor cell lines.

Authors:  Channing Yu; Aristotle M Mannan; Griselda Metta Yvone; Kenneth N Ross; Yan-Ling Zhang; Melissa A Marton; Bradley R Taylor; Andrew Crenshaw; Joshua Z Gould; Pablo Tamayo; Barbara A Weir; Aviad Tsherniak; Bang Wong; Levi A Garraway; Alykhan F Shamji; Michelle A Palmer; Michael A Foley; Wendy Winckler; Stuart L Schreiber; Andrew L Kung; Todd R Golub
Journal:  Nat Biotechnol       Date:  2016-02-29       Impact factor: 54.908

10.  The genomic landscape of response to EGFR blockade in colorectal cancer.

Authors:  Andrea Bertotti; Eniko Papp; Siân Jones; Vilmos Adleff; Valsamo Anagnostou; Barbara Lupo; Mark Sausen; Jillian Phallen; Carolyn A Hruban; Collin Tokheim; Noushin Niknafs; Monica Nesselbush; Karli Lytle; Francesco Sassi; Francesca Cottino; Giorgia Migliardi; Eugenia R Zanella; Dario Ribero; Nadia Russolillo; Alfredo Mellano; Andrea Muratore; Gianluca Paraluppi; Mauro Salizzoni; Silvia Marsoni; Michael Kragh; Johan Lantto; Andrea Cassingena; Qing Kay Li; Rachel Karchin; Robert Scharpf; Andrea Sartore-Bianchi; Salvatore Siena; Luis A Diaz; Livio Trusolino; Victor E Velculescu
Journal:  Nature       Date:  2015-09-30       Impact factor: 49.962

View more
  4 in total

Review 1.  Independent Drug Action in Combination Therapy: Implications for Precision Oncology.

Authors:  Deborah Plana; Adam C Palmer; Peter K Sorger
Journal:  Cancer Discov       Date:  2022-03-01       Impact factor: 38.272

Review 2.  Patient-derived tumor models are attractive tools to repurpose drugs for ovarian cancer treatment: pre-clinical updates.

Authors:  Magdalena Cybula; Magdalena Bieniasz
Journal:  Oncotarget       Date:  2022-03-24

Review 3.  Harnessing preclinical models for the interrogation of ovarian cancer.

Authors:  Tianyu Qin; Junpeng Fan; Funian Lu; Li Zhang; Chen Liu; Qiyue Xiong; Yang Zhao; Gang Chen; Chaoyang Sun
Journal:  J Exp Clin Cancer Res       Date:  2022-09-16

4.  Using Patient-Derived Xenograft (PDX) Models as a 'Black Box' to Identify More Applicable Patients for ADP-Ribose Polymerase Inhibitor (PARPi) Treatment in Ovarian Cancer: Searching for Novel Molecular and Clinical Biomarkers and Performing a Prospective Preclinical Trial.

Authors:  Jiayu Chen; Yan Li; Haiyuan Wang; Ting Li; Yu Gu; Wei Wang; Ying Shan; Jie Yin; Yongxue Wang; Meng Qin; Siyi Li; Lingya Pan; Siying Peng; Ying Jin
Journal:  Cancers (Basel)       Date:  2022-09-24       Impact factor: 6.575

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.