Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some

Aviad Zick1, Tamar Peretz, Michal Lotem

  • 1Sharett Institute of Oncology Leslie and Michael Gaffin Center for Oncology, Departments of Oncology and Neurology, Hebrew University-Hadassah Medical Center Department of Pediatrics, Hadassah Medical Center, Division of Pediatric Hematology and Oncology Lautenberg Center for Immunology, IMRIC, The Hebrew University-Hadassah Medical School Department of Pathology, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.

Medicine
|May 18, 2017
PubMed

Insights

Molecular tumor profiling using the ion Ampliseq cancer panel is feasible for advanced cancer patients. Multidisciplinary team-based decisions can guide personalized treatment strategies, impacting clinical outcomes.

Area of Science:

  • Oncology
  • Genomics
  • Clinical Pathology

Background:

  • Vast amounts of tumor molecular data are available.
  • Targeted pathway inhibitors offer clinical benefits.
  • Personalized medicine holds promise for advanced cancer.

Purpose of the Study:

  • To report on a clinical service for tumor mutation detection.
  • To assess the impact of a multidisciplinary team approach on treatment decisions.

Main Methods:

  • Utilized the ion Ampliseq cancer panel for mutation detection in archived tumor samples.
  • A multidisciplinary team discussed 67 advanced cancer cases.
  • Treatment plans were generated based on mutations, medical history, and literature.

Main Results:

  • Treatment plans targeting specific mutations were generated for 41 out of 64 assessable cases.
  • Nine patients received panel-recommended treatment; 5 showed clinical benefit, 4 had disease progression.
  • Oncologists did not follow panel recommendations for 32 patients.

Conclusions:

  • Routine massive parallel tumor sequencing is feasible in a clinical setting.
  • Multidisciplinary team-based decision-making can influence treatment choices.
  • Personalized therapies may improve outcomes for metastatic cancer patients.

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