Delivering Precision Oncology in a Community Cancer Program: Results From a Prospective Observational Study

Steven F Powell1, Elie G Dib1, Jonathan S Bleeker1

  • 1Steven F. Powell, Elie G. Dib, Jonathan S. Bleeker, Michael D. Keppen, Miroslaw Mazurczak, Keely M. Hack, Megan L. Landsverk, and Chun-Hung Chan, Sanford Cancer Center; Morgan E. Nelson, Paul A. Thompson, Christie Ellison, and Lora J. Black, Sanford Research, Sioux Falls, SD; Mark M. Gitau, Preston D. Steen, Shelby A. Terstriep, and Anu G. Gaba, Roger Maris Cancer Center, Fargo; John Reynolds, Sanford Cancer Center, Bismarck, ND; James M. Ford, Stanford University School of Medicine, Stanford, CA; Jon H. Chung and Rachel Anhorn, Foundation Medicine, Cambridge, MA.

JCO Precision Oncology
|February 9, 2022
PubMed
Abstract

Insights

A virtual molecular tumor board (MTB) facilitated next-generation sequencing (NGS) testing and treatment delivery for precision oncology (PO) in a community setting. This model shows feasibility for expanding PO care in integrated health systems.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Diagnostics

Background:

  • Precision oncology (PO) leverages next-generation sequencing (NGS) and targeted therapies for cancer treatment.
  • Effective delivery of PO in community settings remains understudied.
  • A virtual molecular tumor board (MTB) strategy was developed to guide PO care.

Purpose of the Study:

  • To assess the feasibility of delivering precision oncology care in a community setting.
  • To evaluate the impact of a virtual molecular tumor board (MTB) on treatment recommendations.
  • To analyze the frequency of actionable alterations and genomic-matched treatments.

Main Methods:

  • Adult patients with advanced solid tumors were enrolled in a molecular profiling (MP) study using NGS.
  • Results were reviewed weekly via a videoconferenced MTB within an integrated health system.
  • Feasibility of PO care delivery was the primary outcome, with secondary outcomes including actionable alterations and treatment enrollment.

Main Results:

  • Of 120 participants, 109 (90.8%) had successful MP.
  • The MTB recommended treatment based on actionable alterations in 58% of patients with successful MP.
  • Genomic-matched treatments included clinical trial enrollment (14.6%) and FDA-approved agents (21.1%).

Conclusions:

  • A virtual MTB-facilitated NGS testing and treatment delivery system was successfully implemented in a community oncology program.
  • This model demonstrates feasibility for expanding precision oncology in integrated health systems.
  • Further research is needed to understand the full impact of PO in this setting.

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