Cost-effectiveness Analysis of Genetic Testing and Tailored First-Line Therapy for Patients With Metastatic Gastrointestinal Stromal Tumors.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 09 2020
Historique:
entrez: 28 9 2020
pubmed: 29 9 2020
medline: 7 1 2021
Statut: epublish

Résumé

Gastrointestinal stromal tumor (GIST) is frequently driven by oncogenic KIT variations. Imatinib targeting of KIT marked a new era in GIST treatment and ushered in precision oncological treatment for all solid malignant neoplasms. However, studies on the molecular biological traits of GIST have found that tumors respond differentially to imatinib dosage based on the KIT exon with variation. Despite this knowledge, few patients undergo genetic testing at diagnosis, and empirical imatinib therapy remains routine. Barriers to genetic profiling include concerns about the cost and utility of testing. To determine whether targeted gene testing (TGT) is a cost-effective diagnostic for patients with metastatic GIST from the US payer perspective. This economic evaluation developed a Markov model to compare the cost-effectiveness of TGT and tailored first-line therapy compared with empirical imatinib therapy among patients with a new diagnosis of metastatic GIST. The main health outcome, quality-adjusted life years (QALYs), and costs were obtained from the literature, and transitional probabilities were modeled from disease progression and survival estimates from randomized clinical trials of patients with metastatic GIST. Data analyses were conducted October 2019 to January 2020. TGT and tailored first-line therapy. The primary outcome was QALYs and cost. Cost-effectiveness was defined using an incremental cost-effectiveness ratio, with an incremental cost-effectiveness ratio less than $100 000/QALY considered cost-effective. One-way and probabilistic sensitivity analyses were conducted to assess model stability. Therapy directed by TGT was associated with an increase of 0.10 QALYs at a cost of $9513 compared with the empirical imatinib approach, leading to an incremental cost-effectiveness ratio of $92 100. These findings were sensitive to the costs of TGT, drugs, and health utility model inputs. Therapy directed by TGT remained cost-effective for genetic testing costs up to $3730. Probabilistic sensitivity analysis found that TGT-directed therapy was considered cost-effective 70% of the time. These findings suggest that using genetic testing to match treatment of KIT variations to imatinib dosing is a cost-effective approach compared with empirical imatinib.

Identifiants

pubmed: 32986105
pii: 2770875
doi: 10.1001/jamanetworkopen.2020.13565
pmc: PMC7522695
doi:

Substances chimiques

Antineoplastic Agents 0
Imatinib Mesylate 8A1O1M485B
KIT protein, human EC 2.7.10.1
Proto-Oncogene Proteins c-kit EC 2.7.10.1

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2013565

Subventions

Organisme : NCI NIH HHS
ID : K08 CA168999
Pays : United States
Organisme : NCI NIH HHS
ID : T32 CA121938
Pays : United States
Organisme : NLM NIH HHS
ID : T15 LM011271
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1 TR001443
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA226803
Pays : United States
Organisme : FDA HHS
ID : R01 FD006334
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA023100
Pays : United States

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Auteurs

Sudeep Banerjee (S)

Department of Surgery, Division of Surgical Oncology, University of California, San Diego.
Department of Surgery, University of California, Los Angeles.

Abhishek Kumar (A)

Department of Radiation Medicine and Applied Sciences, University of California, San Diego.

Nicole Lopez (N)

Department of Surgery, Division of Colorectal Surgery, University of California, San Diego.

Beiqun Zhao (B)

Department of Surgery, Division of Surgical Oncology, University of California, San Diego.

Chih-Min Tang (CM)

Department of Surgery, Division of Surgical Oncology, University of California, San Diego.

Mayra Yebra (M)

Department of Surgery, Division of Surgical Oncology, University of California, San Diego.

Hyunho Yoon (H)

Department of Surgery, Division of Surgical Oncology, University of California, San Diego.

James D Murphy (JD)

Department of Radiation Medicine and Applied Sciences, University of California, San Diego.

Jason K Sicklick (JK)

Department of Surgery, Division of Surgical Oncology, University of California, San Diego.

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Classifications MeSH