Identification of a genetic signature enriching for response to ibrutinib in relapsed/refractory follicular lymphoma in the DAWN phase 2 trial.


Journal

Cancer medicine
ISSN: 2045-7634
Titre abrégé: Cancer Med
Pays: United States
ID NLM: 101595310

Informations de publication

Date de publication:
01 2022
Historique:
revised: 13 09 2021
received: 22 12 2020
accepted: 26 10 2021
pubmed: 19 11 2021
medline: 22 3 2022
entrez: 18 11 2021
Statut: ppublish

Résumé

The single-arm DAWN trial (NCT01779791) of ibrutinib monotherapy in patients with relapsed/refractory follicular lymphoma (FL) showed an overall response rate (ORR) of 20.9% and a median response duration of 19.4 months. This biomarker analysis of the DAWN dataset sought to determine genetic classifiers for prediction of response to ibrutinib treatment. Whole exome sequencing was performed on baseline tumor samples. Potential germline variants were excluded; a custom set of 1216 cancer-related genes was examined. Responder- versus nonresponder-associated variants were identified using Fisher's exact test. Classifiers with increasing numbers of genes were created using a greedy algorithm that repeatedly selected genes, adding the most nonresponders to the existing "predicted nonresponders" set and were evaluated with 10-fold cross-validation. Exome data were generated from 88 patient samples and 13,554 somatic mutation variants were inferred. Response data were available for 83 patients (17 responders, 66 nonresponders). Each sample showed 100 to >500 mutated genes, with greater variance across nonresponders. The overall variant pattern was consistent with previous FL studies; 75 genes had mutations in >10% of patients, including genes previously reported as associated with FL. Univariate analysis yielded responder-associated genes FANCA, HISTH1B, ANXA6, BTG1, and PARP10, highlighting the importance of functions outside of B-cell receptor signaling, including epigenetic processes, DNA damage repair, cell cycle/proliferation, and cell motility/invasiveness. While nonresponder-associated genes included well-known TP53 and CARD11, genetic classifiers developed using nonresponder-associated genes included ATP6AP1, EP400, ARID1A, SOCS1, and TBL1XR1, suggesting resistance to ibrutinib may be related to broad biological functions connected to epigenetic modification, telomere maintenance, and cancer-associated signaling pathways (mTOR, JAK/STAT, NF-κB). The results from univariate and genetic classifier analyses provide insights into genes associated with response or resistance to ibrutinib in FL and identify a classifier developed using nonresponder-associated genes, which warrants further investigation. NCT01779791.

Sections du résumé

BACKGROUND
The single-arm DAWN trial (NCT01779791) of ibrutinib monotherapy in patients with relapsed/refractory follicular lymphoma (FL) showed an overall response rate (ORR) of 20.9% and a median response duration of 19.4 months. This biomarker analysis of the DAWN dataset sought to determine genetic classifiers for prediction of response to ibrutinib treatment.
METHODS
Whole exome sequencing was performed on baseline tumor samples. Potential germline variants were excluded; a custom set of 1216 cancer-related genes was examined. Responder- versus nonresponder-associated variants were identified using Fisher's exact test. Classifiers with increasing numbers of genes were created using a greedy algorithm that repeatedly selected genes, adding the most nonresponders to the existing "predicted nonresponders" set and were evaluated with 10-fold cross-validation.
RESULTS
Exome data were generated from 88 patient samples and 13,554 somatic mutation variants were inferred. Response data were available for 83 patients (17 responders, 66 nonresponders). Each sample showed 100 to >500 mutated genes, with greater variance across nonresponders. The overall variant pattern was consistent with previous FL studies; 75 genes had mutations in >10% of patients, including genes previously reported as associated with FL. Univariate analysis yielded responder-associated genes FANCA, HISTH1B, ANXA6, BTG1, and PARP10, highlighting the importance of functions outside of B-cell receptor signaling, including epigenetic processes, DNA damage repair, cell cycle/proliferation, and cell motility/invasiveness. While nonresponder-associated genes included well-known TP53 and CARD11, genetic classifiers developed using nonresponder-associated genes included ATP6AP1, EP400, ARID1A, SOCS1, and TBL1XR1, suggesting resistance to ibrutinib may be related to broad biological functions connected to epigenetic modification, telomere maintenance, and cancer-associated signaling pathways (mTOR, JAK/STAT, NF-κB).
CONCLUSION
The results from univariate and genetic classifier analyses provide insights into genes associated with response or resistance to ibrutinib in FL and identify a classifier developed using nonresponder-associated genes, which warrants further investigation.
TRIAL REGISTRATION
NCT01779791.

Identifiants

pubmed: 34791836
doi: 10.1002/cam4.4422
pmc: PMC8704158
doi:

Substances chimiques

Antineoplastic Agents 0
CARD Signaling Adaptor Proteins 0
DNA-Binding Proteins 0
Genetic Markers 0
Piperidines 0
TP53TG1 protein, human 0
ibrutinib 1X70OSD4VX
CARD11 protein, human EC 4.6.1.2
Guanylate Cyclase EC 4.6.1.2
Adenine JAC85A2161

Banques de données

ClinicalTrials.gov
['NCT01779791']

Types de publication

Clinical Trial, Phase II Controlled Clinical Trial Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

61-73

Informations de copyright

© 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

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Auteurs

Sriram Balasubramanian (S)

Janssen Research & Development, Spring House, Pennsylvania, USA.

Brendan Hodkinson (B)

Janssen Research & Development, Spring House, Pennsylvania, USA.

Stephen J Schuster (SJ)

Lymphoma Program, Abramson Cancer Center of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Nathan H Fowler (NH)

Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Judith Trotman (J)

Haematology Department, Concord Hospital, University of Sydney, Sydney, New South Wales, Australia.

Georg Hess (G)

Department of Hematology/Oncology, Johannes Gutenberg-University, Mainz, Germany.

Bruce D Cheson (BD)

Lombardi Comprehensive Cancer Center, Georgetown University Hospital, Washington, District of Columbia, USA.

Michael Schaffer (M)

Janssen Research & Development, Spring House, Pennsylvania, USA.

Steven Sun (S)

Janssen Research & Development, Raritan, New Jersey, USA.

Sanjay Deshpande (S)

Janssen Research & Development, Raritan, New Jersey, USA.

Jessica Vermeulen (J)

Janssen Research & Development, Leiden, The Netherlands.

Gilles Salles (G)

Hospices Civils de Lyon, Université de Lyon, Pierre-Bénite Cedex, Lyon, France.

Ajay K Gopal (AK)

Division of Medical Oncology, Department of Medicine, The University of Washington, Seattle, Washington, USA.
Clinical Research Division, Fred Hutchinson Cancer Research Center, Lymphoma Program, Seattle Cancer Care Alliance, Seattle, Washington, USA.

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