Molecular diagnostics enables detection of actionable targets: the Pediatric Targeted Therapy 2.0 registry

Jonas Ecker1, Florian Selt1, Dominik Sturm2

  • 1Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany; Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany; Department of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany.

European Journal of Cancer (Oxford, England : 1990)
|December 21, 2022
PubMed
Abstract

Insights

Molecular diagnostics improve pediatric cancer treatment by refining diagnoses and identifying actionable targets, even with limited tumor tissue. This approach aids in personalized therapy selection for relapsed pediatric oncology patients.

Area of Science:

  • Pediatric Oncology
  • Molecular Diagnostics
  • Genomic Medicine

Background:

  • Precision oncology relies on accurate diagnosis and detection of actionable genetic alterations.
  • The Pediatric Targeted Therapy (PTT) 2.0 program enhances diagnostic accuracy for relapsed pediatric oncology patients.
  • PTT 2.0 integrates molecular analyses with histology, especially when tumor material is scarce.

Purpose of the Study:

  • To improve diagnostic accuracy in relapsed pediatric oncology patients.
  • To identify actionable molecular alterations for targeted therapy selection.
  • To assess the clinical utility of integrated molecular diagnostics in pediatric cancer.

Main Methods:

  • Analysis of pediatric patients with relapsed central nervous system tumors, sarcomas, and other solid tumors.
  • Utilized DNA methylation arrays, targeted gene panel sequencing (130 genes), RNA sequencing, and immunohistochemistry on limited formalin-fixed paraffin-embedded tissue.
  • Clinical impact was evaluated through questionnaire-based follow-up.

Main Results:

  • Integrated molecular diagnostics refined or changed diagnoses in 44% of tumors.
  • Actionable targets were identified in 59% of cases.
  • Clinically relevant constitutional DNA variants were found in 7% of patients, and 10% received targeted therapy based on molecular findings.

Conclusions:

  • Next-generation diagnostics provide crucial information for diagnosis and identifying actionable alterations.
  • Molecular analysis is valuable even with limited tissue samples.
  • This approach aids in detecting cancer predisposition syndromes and guiding personalized treatment strategies.