A Novel HRD Signature Is Predictive of FOLFIRINOX Benefit in Metastatic Pancreatic Cancer.


Journal

The oncologist
ISSN: 1549-490X
Titre abrégé: Oncologist
Pays: England
ID NLM: 9607837

Informations de publication

Date de publication:
03 08 2023
Historique:
received: 21 01 2023
accepted: 12 05 2023
medline: 7 8 2023
pubmed: 24 6 2023
entrez: 24 6 2023
Statut: ppublish

Résumé

Pancreatic cancer (PC) represents an aggressive disease with median overall survival (OS) of less than 1 year in the front-line setting. FOLFIRINOX and gemcitabine and paclitaxel (GP) are standard of care options for these patients; however, optimal selection of therapy is challenging. Comprehensive genomic profiling was performed on 8358 PC patients. Outcomes were available for 1149 metastatic PC patients treated with 1L FOLFIRINOX or GP. A scar-based measure of HRD was called using a machine learning-based algorithm incorporating copy number and indel features. A scar-based HRD signature (HRDsig) was identified in 9% of patients. HRDsig significantly co-occurred with biallelic alterations in BRCA1/2, PALB2, BARD1, and RAD51C/D, but encompassed a larger population than that defined by BRCA1/BRCA2/PALB2 (9% vs. 6%). HRDsig was predictive of 1L FOLFIRNOX chemotherapy benefit with doubled OS relative to gemcitabine and paclitaxel (GP) (rwOS aHR 0.37 [0.22-0.62]), including 25% of the population with long-term (2 year+) survival in a real-world cohort of patients. Less benefit from FOLFIRINOX was observed in the HRDsig(-) population. Predictive value was seen in both the BRCA1/2/PALB2 mutant and wildtype populations, suggesting additional value to mutational profiling. A scar-based HRD biomarker was identified in a significant fraction of PC patients and is predictive of FOLFIRINOX benefit. Incorporating a biomarker like HRDsig could identify the right patients for platinum chemotherapy and potentially reduce FOLFIRINOX use by over 40%, minimizing toxicities with similar survival outcomes. Confirmatory studies should be performed.

Sections du résumé

BACKGROUND
Pancreatic cancer (PC) represents an aggressive disease with median overall survival (OS) of less than 1 year in the front-line setting. FOLFIRINOX and gemcitabine and paclitaxel (GP) are standard of care options for these patients; however, optimal selection of therapy is challenging.
METHODS
Comprehensive genomic profiling was performed on 8358 PC patients. Outcomes were available for 1149 metastatic PC patients treated with 1L FOLFIRINOX or GP. A scar-based measure of HRD was called using a machine learning-based algorithm incorporating copy number and indel features.
RESULTS
A scar-based HRD signature (HRDsig) was identified in 9% of patients. HRDsig significantly co-occurred with biallelic alterations in BRCA1/2, PALB2, BARD1, and RAD51C/D, but encompassed a larger population than that defined by BRCA1/BRCA2/PALB2 (9% vs. 6%). HRDsig was predictive of 1L FOLFIRNOX chemotherapy benefit with doubled OS relative to gemcitabine and paclitaxel (GP) (rwOS aHR 0.37 [0.22-0.62]), including 25% of the population with long-term (2 year+) survival in a real-world cohort of patients. Less benefit from FOLFIRINOX was observed in the HRDsig(-) population. Predictive value was seen in both the BRCA1/2/PALB2 mutant and wildtype populations, suggesting additional value to mutational profiling.
CONCLUSION
A scar-based HRD biomarker was identified in a significant fraction of PC patients and is predictive of FOLFIRINOX benefit. Incorporating a biomarker like HRDsig could identify the right patients for platinum chemotherapy and potentially reduce FOLFIRINOX use by over 40%, minimizing toxicities with similar survival outcomes. Confirmatory studies should be performed.

Identifiants

pubmed: 37354528
pii: 7206909
doi: 10.1093/oncolo/oyad178
pmc: PMC10400136
doi:

Substances chimiques

folfirinox 0
BRCA1 protein, human 0
BRCA1 Protein 0
Gemcitabine 0
BRCA2 protein, human 0
BRCA2 Protein 0
Fluorouracil U3P01618RT
Leucovorin Q573I9DVLP
Deoxycytidine 0W860991D6
Paclitaxel P88XT4IS4D
Albumins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

691-698

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK120531
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA200466
Pays : United States
Organisme : NCI NIH HHS
ID : R37 CA263622
Pays : United States

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press.

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Auteurs

Kuei-Ting Chen (KT)

Foundation Medicine, Cambridge, MA, USA.

Russell Madison (R)

Foundation Medicine, Cambridge, MA, USA.

Jay Moore (J)

Foundation Medicine, Cambridge, MA, USA.

Dexter Jin (D)

Foundation Medicine, Cambridge, MA, USA.

Zoe Fleischmann (Z)

Foundation Medicine, Cambridge, MA, USA.

Justin Newberg (J)

Foundation Medicine, Cambridge, MA, USA.

Alexa Schrock (A)

Foundation Medicine, Cambridge, MA, USA.

Neeru Bhardwaj (N)

Foundation Medicine, Cambridge, MA, USA.

Katherine T Lofgren (KT)

Foundation Medicine, Cambridge, MA, USA.

Jie He (J)

Foundation Medicine, Cambridge, MA, USA.

Garrett Frampton (G)

Foundation Medicine, Cambridge, MA, USA.

Priti Hegde (P)

Foundation Medicine, Cambridge, MA, USA.

David Fabrizio (D)

Foundation Medicine, Cambridge, MA, USA.

Michael J Pishvaian (MJ)

Department of Oncology, Johns Hopkins University School of Medicine, SKCC, Washington, DC, USA.

Ericka Ebot (E)

Foundation Medicine, Cambridge, MA, USA.

Aatur Singhi (A)

Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.

Ethan Sokol (E)

Foundation Medicine, Cambridge, MA, USA.

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Classifications MeSH