Journal
LUNG CANCER
Volume 169, Issue -, Pages 31-39Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.lungcan.2022.05.004
Keywords
Lung cancer; Brain metastases; Molecular biology; Targeted therapy; Immunotherapy
Categories
Funding
- Fondation ARC
- AstraZeneca
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Lung cancer is the most common cause of brain metastases (BMs) and the response to systemic treatments is inconsistent. This study identified a specific gene signature and explored the effects of different maintenance treatment regimens on central nervous system (CNS) outcomes.
Introduction: Lung cancer remains the most frequent cause of brain metastases (BMs) and is responsible for high morbidity and mortality. Intracranial response to systemic treatments is inconsistent due to several mechanisms: genomic heterogeneity, blood-tumor barrier, and the brain-specific microenvironment. We conducted a study using data from the SAFIR02-LUNG trial. The primary objective was to compare the molecular profiles of non small-cell lung cancer (NSCLC) with or without BMs. The secondary objective was to explore central nervous system (CNS) outcomes with various maintenance treatment regimens.Methods: In total, 365 patients harboring interpretable molecular data were included in this analysis. Clinical and biological data were collected. Genomic analyses were based on array-comparative genomic hybridization and next-generation sequencing (NGS) following the trial recommendations.Results: Baseline genomic analyses of copy number variations identified a 24-gene signature specific to lung cancer BM occurrence, all previously known to take part in oncogenesis. NGS analysis identified a higher proportion of KRAS mutations in the BM-positive group (44.3% versus 32.3%), especially G12C mutations (63% versus 47%). Protein interaction analyses highlighted several functional interactions centered on EGFR. Furthermore, the risk of CNS progression was decreased with standard pemetrexed maintenance therapy. The highest rate of CNS progression was observed with durvalumab, probably because of the specific intracranial immune microenvironment.Conclusion: This work identified a 24-gene signature specific to lung cancer with BM. Further studies are needed to precisely determine the functional implications of these genes to identify new therapeutic targets for the treatment of lung cancer with BM.
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