Identification and Confirmation of Potentially Actionable Germline Mutations in Tumor-Only Genomic Sequencing

Dana Farengo Clark1,2, Kara N Maxwell1,2, Jacquelyn Powers1,2

  • 1Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

JCO Precision Oncology
|September 13, 2019
PubMed
Abstract

Insights

An automated pipeline identified 3.5% of patients with potentially actionable germline findings from tumor-only genomic profiling (TGP). However, only 41% of referred patients completed germline testing, highlighting a need for improved systems to identify cancer susceptibility mutation carriers.

Area of Science:

  • Genomic Medicine
  • Oncology
  • Clinical Genetics

Background:

  • Tumor-only genomic profiling (TGP) is increasingly used in cancer care.
  • TGP can reveal actionable germline findings, impacting patient management and family risk assessment.
  • Identifying these germline variants requires robust clinical algorithms.

Purpose of the Study:

  • To develop and evaluate a clinical algorithm for identifying potentially actionable germline findings from TGP.
  • To assess the yield of germline pathogenic variants (GPVs) through an automated referral pipeline.

Main Methods:

  • Analysis of publicly available data for cancer susceptibility genes.
  • Establishment of an automated pipeline for clinical referral based on TGP findings.
  • Multidisciplinary team review of TGP results and genotype-phenotype correlations.

Main Results:

  • An automated referral pipeline identified 3.5% of 2,308 patients for germline evaluation.
  • Of those referred, 72% of patients tested via the pipeline had confirmed GPVs, with BRCA2 being most common.
  • Only 41% of referred patients completed germline testing due to factors like poor health or refusal.

Conclusions:

  • An automated referral pipeline can identify a significant proportion of patients with actionable germline findings from TGP.
  • Implementation challenges, including patient follow-through, limit the effectiveness of referral systems.
  • Systems-based approaches are crucial for effectively identifying germline cancer susceptibility mutation carriers identified by TGP.

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