Systemic treatment in EGFR-ALK NSCLC patients: second line therapy and beyond

Niki Karachaliou1, Rafael Rosell1

  • 11 Translational Research Unit, Dr Rosell Oncology Institute, Quirón Dexeus University Hospital, 08028 Barcelona, Spain ; 2 Cancer Biology and Precision Medicine Program, Catalan Institute of Oncology, Hospital Germans Trias i Pujol, Ctra Canyet s/n, 08916 Badalona, Barcelona, Spain ; 3 Fundación Molecular Oncology Research (MORe), Sabino Arana 5-19, 08028 Barcelona, Spain.

Cancer Biology & Medicine
|November 4, 2014
PubMed

Insights

Precision medicine for lung cancer aims to match patients with targeted therapies. Identifying rare genetic mutations ("hills") alongside common ones ("mountains") can help select patients for effective treatments.

Area of Science:

  • Oncology
  • Genetics
  • Pharmacology

Background:

  • Lung cancer is a leading cause of cancer mortality globally.
  • Adenocarcinoma is the most common histological subtype of lung cancer.
  • Advances in understanding non-small cell lung cancer (NSCLC) pathobiology enable targeted therapies.

Purpose of the Study:

  • To define patient populations most likely to respond to targeted therapies.
  • To explore the landscape of genetic mutations in lung cancer, including common and rare variants.
  • To identify actionable low-frequency mutations for precision medicine.

Main Methods:

  • Analysis of the lung cancer genome landscape.
  • Identification of common ("mountains") and low-frequency ("hills") genetic mutations.
  • Evaluation of druggable gene products affected by these mutations.

Main Results:

  • The cancer genome landscape includes common driver mutations and numerous low-frequency mutations.
  • Low-frequency mutations in druggable targets can be actionable.
  • Targeted therapies can be selected for small patient populations based on specific mutations.

Conclusions:

  • Precision medicine in lung cancer requires considering both common and rare genetic alterations.
  • Identifying patients with low-frequency, actionable mutations is crucial for expanding targeted therapy options.
  • Understanding the full spectrum of lung cancer mutations improves patient selection for effective treatments.