Clinical Utility of Molecular Tumor Board Review for Identification of Possible Germline Pathogenic Variants on Tumor Next-Generation Sequencing Reports.


Journal

JCO precision oncology
ISSN: 2473-4284
Titre abrégé: JCO Precis Oncol
Pays: United States
ID NLM: 101705370

Informations de publication

Date de publication:
Sep 2024
Historique:
medline: 11 9 2024
pubmed: 11 9 2024
entrez: 11 9 2024
Statut: ppublish

Résumé

Tumor next-generation sequencing (NGS) testing identifies possible germline pathogenic variants (PGPVs), creating a dilemma for appropriate recognition, triage, and management. The objective of this study was to determine the clinical utility of an institutional molecular tumor board (MTB) in assessing tumor NGS reports for PGPVs. Our institutional MTB reviews all NGS reports to provide treatment and further testing recommendations, including genetic counseling referral and consideration of genetic testing (GC/GT). We studied the patients reviewed by the MTB who were recommended for GC/GT to determine the frequency of referral to a GC, germline test completion, rate of pathogenic germline variants (PGVs), factors related to PGVs, and germline conversion rate (GCR). Of the 2,355 patients reviewed by the MTB during the study period, 609 (25.9%) had a recommendation for GC/GT. Of the 609 with a GC/GT recommendation, only 181 (29.7%) were referred for GC/GT by their treating physicians, and only 107 (17.6%) completed GT. Of the 107 patients completing GT, 29 (26%) had a confirmed PGV. The only factors significantly associated with PGVs were testing due to a PGPV and higher mean variant allele fraction on the tumor NGS. Only 40 patients with a GC/GT recommendation (14.3%) due to a PGPV completed GT; however, the GCR was 42.5% (n = 17/40). The MTB review of PGPV is clinically valuable, identifying PGPV in 12% of patients undergoing tumor NGS and a GCR of 42.5%. Rates of GC/GT completion were relatively low due to under-referral by treating physicians. Given the high GCR, the authors encourage institutional algorithms to help increase GC/GT rates for patients found to have PGPV following tumor NGS testing.

Identifiants

pubmed: 39259913
doi: 10.1200/PO.24.00301
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2400301

Auteurs

Taylor A Rives (TA)

Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kentucky, Lexington, KY.

James Collard (J)

Markey Cancer Center, University of Kentucky, Lexington, KY.

Ning Li (N)

Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY.

Donglin Yan (D)

Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY.

Charles S Dietrich (CS)

Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kentucky, Lexington, KY.
Markey Cancer Center, University of Kentucky, Lexington, KY.

Rachel W Miller (RW)

Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kentucky, Lexington, KY.
Markey Cancer Center, University of Kentucky, Lexington, KY.

Frederick R Ueland (FR)

Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kentucky, Lexington, KY.
Markey Cancer Center, University of Kentucky, Lexington, KY.

Justine Pickarski (J)

Markey Cancer Center, University of Kentucky, Lexington, KY.

Jill M Kolesar (JM)

Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kentucky, Lexington, KY.
Markey Cancer Center, University of Kentucky, Lexington, KY.
College of Pharmacy, University of Kentucky, Lexington, KY.

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Classifications MeSH