Molecular tumor board-guided osimertinib therapy in EGFR L858R/Q701L-mutant lung adenocarcinoma supported by

Corinna Albers-Leischner1, Matthias Ritgen2, Finn-Ole Paulsen1

  • 1Department of Medicine II (Oncology, Hematology, Bone Marrow Transplantation with Section Pneumology) and University Cancer Center (UCC) Hamburg, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.

The Oncologist
|July 2, 2026
PubMed
Abstract

Insights

This non-small cell lung cancer (NSCLC) case demonstrates how functional validation and molecular tumor boards (MTBs) can guide personalized therapy for complex EGFR mutations. Osimertinib provided durable disease control for 18 months.

Area of Science:

  • Oncology
  • Genomics
  • Personalized Medicine

Background:

  • Rare or compound epidermal growth factor receptor (EGFR) variants in non-small cell lung cancer (NSCLC) present therapeutic challenges.
  • Co-alterations can imply resistance, necessitating integrated data analysis.

Purpose of the Study:

  • To investigate the therapeutic implications of a complex EGFR mutation profile in metastatic lung adenocarcinoma.
  • To evaluate the utility of functional validation and molecular tumor board (MTB) assessment in guiding treatment decisions.

Main Methods:

  • Next-generation sequencing identified compound EGFR mutations (L858R/Q701L) with additional genomic alterations.
  • EGFR mutations were recreated in vitro and tested in preclinical models.
  • An institutional MTB integrated genomic, functional, and clinical data to recommend therapy.

Main Results:

  • The EGFR L858R/Q701L co-mutation demonstrated sensitivity to multiple generations of EGFR tyrosine kinase inhibitors.
  • In-label Osimertinib therapy led to rapid clinical improvement and 18 months of durable disease control.
  • The patient ultimately progressed and died 23.4 months post-diagnosis.

Conclusions:

  • Functional validation and multidisciplinary MTB discussion are crucial for interpreting complex genomic profiles in NSCLC.
  • Personalized therapy guided by integrated data can achieve significant disease control in challenging cases.