Implementation and Outcomes of a Molecular Tumor Board at Herbert-Herman Cancer Center, Sparrow Hospital

Harsha Trivedi1, Devansh Acharya1, Ushasree Chamarthy1

  • 1Herbert-Herman Cancer Center, Sparrow Hospital.

Abstract

Insights

Molecular tumor boards (MTB) identified actionable alterations in 81% of cancer cases. Genomically matched therapy or clinical trials were offered to 46% of patients, improving treatment options for advanced cancers.

Area of Science:

  • Oncology
  • Genomics
  • Precision Medicine

Background:

  • Molecular tumor boards (MTBs) are increasingly utilized to interpret complex genomic data for cancer patients.
  • Evaluating the outcomes of MTB consultations is crucial for optimizing precision oncology strategies.

Purpose of the Study:

  • To describe the experience and outcomes of 54 cancer cases presented to a Molecular Tumor Board.
  • To assess the rate of actionable molecular alterations and the impact of MTB recommendations on patient treatment.

Main Methods:

  • Analysis of 54 cancer cases presented to an MTB between July 2017 and April 2018.
  • Cases included patients with advanced cancer who had failed or were expected to fail standard therapies.
  • Exclusion of patients with obvious mutations eligible for specific clinical trials; virtual case presentations and molecular pathway discussions were conducted.

Main Results:

  • 81% of the 54 cases presented had at least one potentially actionable molecular alteration.
  • 22% of patients received genomically matched therapy based on MTB recommendations, with 50% of those treated remaining alive.
  • Genomically matched therapy or clinical trial options were offered to 46% of patients.

Conclusions:

  • Molecular tumor boards can identify actionable alterations in a high percentage of advanced cancer cases.
  • Multidisciplinary collaboration and improved physician education are essential for effective implementation of molecular diagnostics in oncology.
  • Further integration of molecular diagnostics and multidisciplinary input is needed for consensus-based treatment decisions in oncology.

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