Feasibility of Large-Scale Genomic Testing to Facilitate Enrollment Onto Genomically Matched Clinical Trials

J Clin Oncol. 2015 Sep 1;33(25):2753-62. doi: 10.1200/JCO.2014.60.4165. Epub 2015 May 26.

Abstract

Purpose: We report the experience with 2,000 consecutive patients with advanced cancer who underwent testing on a genomic testing protocol, including the frequency of actionable alterations across tumor types, subsequent enrollment onto clinical trials, and the challenges for trial enrollment.

Patients and methods: Standardized hotspot mutation analysis was performed in 2,000 patients, using either an 11-gene (251 patients) or a 46- or 50-gene (1,749 patients) multiplex platform. Thirty-five genes were considered potentially actionable based on their potential to be targeted with approved or investigational therapies.

Results: Seven hundred eighty-nine patients (39%) had at least one mutation in potentially actionable genes. Eighty-three patients (11%) with potentially actionable mutations went on genotype-matched trials targeting these alterations. Of 230 patients with PIK3CA/AKT1/PTEN/BRAF mutations that returned for therapy, 116 (50%) received a genotype-matched drug. Forty patients (17%) were treated on a genotype-selected trial requiring a mutation for eligibility, 16 (7%) were treated on a genotype-relevant trial targeting a genomic alteration without biomarker selection, and 40 (17%) received a genotype-relevant drug off trial. Challenges to trial accrual included patient preference of noninvestigational treatment or local treatment, poor performance status or other reasons for trial ineligibility, lack of trials/slots, and insurance denial.

Conclusion: Broad implementation of multiplex hotspot testing is feasible; however, only a small portion of patients with actionable alterations were actually enrolled onto genotype-matched trials. Increased awareness of therapeutic implications and access to novel therapeutics are needed to optimally leverage results from broad-based genomic testing.

Publication types

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

MeSH terms

  • Adult
  • Aged
  • Biomarkers, Tumor / genetics*
  • Class I Phosphatidylinositol 3-Kinases
  • Clinical Trials as Topic* / methods
  • Clinical Trials as Topic* / trends
  • Feasibility Studies
  • Female
  • Genetic Testing*
  • Genomics
  • Genotype*
  • Humans
  • Male
  • Middle Aged
  • Mutation*
  • Neoplasms / drug therapy
  • Neoplasms / genetics*
  • PTEN Phosphohydrolase / genetics
  • Patient Selection*
  • Phosphatidylinositol 3-Kinases / genetics
  • Proto-Oncogene Proteins B-raf / genetics
  • Proto-Oncogene Proteins c-akt / genetics

Substances

  • Biomarkers, Tumor
  • Phosphatidylinositol 3-Kinases
  • Class I Phosphatidylinositol 3-Kinases
  • PIK3CA protein, human
  • AKT1 protein, human
  • BRAF protein, human
  • Proto-Oncogene Proteins B-raf
  • Proto-Oncogene Proteins c-akt
  • PTEN Phosphohydrolase
  • PTEN protein, human