Genomic sequencing to inform therapy in advanced pancreatic cancer: A systematic review and meta-analysis of prospective studies.


Journal

Cancer treatment reviews
ISSN: 1532-1967
Titre abrégé: Cancer Treat Rev
Pays: Netherlands
ID NLM: 7502030

Informations de publication

Date de publication:
Dec 2021
Historique:
received: 30 08 2021
revised: 15 10 2021
accepted: 16 10 2021
pubmed: 11 11 2021
medline: 23 11 2021
entrez: 10 11 2021
Statut: ppublish

Résumé

Current guidelines recommend somatic genomic sequencing for patients with advanced pancreatic cancer to identify targetable alterations amenable to targeted therapy. The benefit of somatic genomic sequencing in pancreatic cancer remains unclear. This study aims to assess the evidence supporting genomic sequencing to inform treatment selection for patients with advanced pancreatic cancer. A systematic review identified prospective studies of exocrine pancreatic cancer patients published before August 2020 which conducted genomic sequencing to inform treatment selection. Outcomes of interest included the proportion of patients with targetable alterations, the proportion that received targeted treatments, and the impact of targeted treatments on overall survival. Meta-analysis for proportions and hazard ratios was performed using Dersimonian and Laird random effect models. 19 studies (representing 2048 pancreatic cancer patients) were included. Sequencing methodologies, definitions of targetable alterations, and approaches treatment selection varied across studies and were incompletely reported. 590 of 1382 sequenced patients harboured a targetable alteration (random effects meta-analysis estimate of the proportion 0.46, 95% confidence interval 0.32-0.61). The proportion of patients with targetable alterations was highly heterogenous between studies (I Genomic sequencing frequently identifies targetable alterations in pancreatic cancers. Further research is required to standardize the definitions of targetable alterations, the approach to treatment matching, and quantify the benefit of targeted therapy.

Identifiants

pubmed: 34757307
pii: S0305-7372(21)00158-4
doi: 10.1016/j.ctrv.2021.102310
pii:
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102310

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Nicholas Meti (N)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.

Deirdre Kelly (D)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.

Michael J Allen (MJ)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.

Ashley Lanys (A)

School of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland.

Rouhi Fazelzad (R)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; UHN Library and Information Services, Toronto, Canada.

Ravi Ramjeesingh (R)

Division of Medical Oncology, Dalhousie University, Halifax, Canada.

George Zogopoulos (G)

McGill University Health Centre, Montreal, Canada.

Faiyaz Notta (F)

Ontario Institute for Cancer Research, Toronto, Canada.

Jennifer J Knox (JJ)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.

Eitan Amir (E)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.

Steven Gallinger (S)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Ontario Institute for Cancer Research, Toronto, Canada.

Grainne O'Kane (G)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.

Robert C Grant (RC)

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Ontario Institute for Cancer Research, Toronto, Canada. Electronic address: robert.grant@uhn.ca.

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Classifications MeSH