Progress in determining response to treatment in gastrointestinal stromal tumor

Junaid Arshad1, Jibran Ahmed2, Ty Subhawong1

  • 1Miller School of Medicine/Sylvester Comprehensive Cancer Centre, University of Miami, Miami, FL, USA.

Insights

Gastrointestinal stromal tumors (GIST) management has advanced with targeted therapies and molecular diagnostics. Future directions focus on sensitive assays for genetic alterations to guide treatment and predict survival.

Area of Science:

  • Oncology
  • Gastroenterology
  • Molecular Diagnostics

Background:

  • Gastrointestinal stromal tumor (GIST) is the most common malignant mesenchymal tumor of the GI system.
  • Advances in understanding KIT/PDGRA and other genetic alterations have driven the development of tyrosine kinase inhibitors.
  • Current response assessment relies on criteria like iRECIST, PERCIST, or Choi criteria, with molecular genotyping as a diagnostic standard.

Purpose of the Study:

  • To provide an overview of GIST history, molecular sequencing, and treatment options.
  • To discuss radiologic response assessment methods in GIST.
  • To explore the role of circulating tumor DNA (ctDNA) in evaluating treatment response.

Main Methods:

  • Review of historical GIST management and molecular discoveries.
  • Analysis of current treatment strategies, including tyrosine kinase inhibitors and clinical trials.
  • Examination of established and emerging response evaluation criteria.

Main Results:

  • Molecular genotyping is the current standard for GIST diagnosis, treatment selection, and response evaluation.
  • Various imaging and molecular criteria are used to assess treatment efficacy.
  • Circulating tumor DNA (ctDNA) shows promise in monitoring treatment response and detecting resistance.

Conclusions:

  • Future GIST management hinges on developing sensitive assays for genetic alterations.
  • These assays will aid in initial diagnosis, treatment selection, and monitoring response.
  • Predicting survival and identifying resistant mutations are key future applications.

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