Adaptive responses in a PARP inhibitor window of opportunity trial illustrate limited functional interlesional heterogeneity and potential combination therapy options.

adaptive response combination therapy ovarian cancer poly (ADP-ribose) polymerase inhibitor targeted therapy

Journal

Oncotarget
ISSN: 1949-2553
Titre abrégé: Oncotarget
Pays: United States
ID NLM: 101532965

Informations de publication

Date de publication:
28 May 2019
Historique:
received: 12 03 2019
accepted: 02 05 2019
entrez: 14 6 2019
pubmed: 14 6 2019
medline: 14 6 2019
Statut: epublish

Résumé

Poly (ADP-ribose) polymerase inhibitor (PARPi)-based combination therapies are demonstrating efficacy in patients, however, identifying the right combination for the right patient remains a critical challenge. Thus, it is urgent to develop approaches able to identify patients likely to benefit from specific combination therapies. Several groups, including ours, have demonstrated that targeting adaptive responses induced by PARPi increases depth and duration of response. In this study, we instituted a talazoparib (PARPi) monotherapy window of opportunity trial to identify informative adaptive responses in high grade serous ovarian cancer patients (HGSOC). Patients were treated for 7 to 14 days with PARPi monotherapy prior to surgery with tissue samples from multiple sites being collected pre- and post-treatment in each patient. Analysis of these samples demonstrated that individual patients displayed different adaptive responses with limited interlesional heterogeneity. Ability of combination therapies designed to interdict adaptive responses to decrease viability was validated using model systems. Thus, assessment of adaptive responses to PARPi provides an opportunity for patient-specific selection of combination therapies designed to interdict patient-specific adaptive responses to maximize patient benefit.

Identifiants

pubmed: 31191824
doi: 10.18632/oncotarget.26947
pii: 26947
pmc: PMC6544405
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3533-3546

Subventions

Organisme : NCI NIH HHS
ID : P30 CA016672
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA217685
Pays : United States
Organisme : NCI NIH HHS
ID : R50 CA221675
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA217842
Pays : United States

Déclaration de conflit d'intérêts

CONFLICTS OF INTEREST LM: Research funding (AstraZeneca). MF: Honoraria (Stryker, Johnson and Johnson); Consulting (Stryker, Ipsen, Genentech); Research funding (Stryker, Navidea). AKS: SAB (Kiyatec); Shareholder (Biopath); Research funding (M-Trap). RC: Research Funding (AstraZeneca, Abbvie, Clovis, Roche/Genentech, Janssen, Merck); Scientific Steering Committee (Abbvie, AstraZeneca, Clovis, Immunogen, Tesaro, Array, Janssen, Genmab, Gamamab). SNW: Research funding (AstraZeneca, Bayer, Tesaro, Cotinga pharmaceuticals, Roche/Genentech, Clovis); Consultant (AstraZeneca, Clovis, Tesaro, Merck, Medivation, Pfizer. Roche/Genentech). GBM: Consultant/Scientific Advisory Board (AstraZeneca, Catena Pharmaceuticals, Critical Outcome Technologies, ImmunoMET, Ionis, PDX Bio, Signalchem Lifesciences, Symphogen, Takeda/Millenium Pharmaceuticals, Tarveda); Stock/Options/Financial Companies (Catena Pharmaceuticals, ImmunoMet, SignalChem, Spindletop Ventures, Tarveda); Licensed Technology Companies (HRD assay to Myriad Genetics); Sponsored Research (Adelson Medical Research Foundation, AstraZeneca, Breast Cancer Research Foundation, Immunomet, Ionis, Karus Therapeutics, Komen Research Foundation, Nanostring, Ovarian Cancer Research Foundation, Pfizer, Prospect Creek Foundation, Takeda/Millenium Pharmaceuticals)

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Auteurs

Marilyne Labrie (M)

Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, USA.

Tae-Beom Kim (TB)

Department of Bioinformatics and Computational Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Zhenlin Ju (Z)

Department of Bioinformatics and Computational Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Sanghoon Lee (S)

Department of Systems Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Wei Zhao (W)

Department of Systems Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Yong Fang (Y)

Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, USA.

Yiling Lu (Y)

Department of Systems Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Ken Chen (K)

Department of Bioinformatics and Computational Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Pedro Ramirez (P)

Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Michael Frumovitz (M)

Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Larissa Meyer (L)

Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Nicole D Fleming (ND)

Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Anil K Sood (AK)

Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Robert L Coleman (RL)

Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Gordon B Mills (GB)

Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, USA.
Department of Systems Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Shannon N Westin (SN)

Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Classifications MeSH