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Genomic Profiling Identifies Putative Pathogenic Alterations in NSCLC Brain Metastases

INTRODUCTION: Brain metastases (BM) severely affect the prognosis and quality of life of patients with NSCLC. Recently, molecularly targeted agents were found to have promising activity against BM in patients with NSCLC whose primary tumors carry “druggable” mutations. Nevertheless, it remains criti...

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Detalles Bibliográficos
Autores principales: Nicoś, Marcin, Harbers, Luuk, Patrucco, Enrico, Kramer-Drauberg, Maximilian, Zhang, Xiaolu, Voena, Claudia, Kowalczyk, Anna, Bożyk, Aleksandra, Pęksa, Rafał, Jarosz, Bożena, Szumiło, Justyna, Simonetti, Michele, Żuk, Monika, Wasąg, Bartosz, Reszka, Katarzyna, Duchnowska, Renata, Milanowski, Janusz, Chiarle, Roberto, Bienko, Magda, Krawczyk, Paweł, Jassem, Jacek, Ambrogio, Chiara, Crosetto, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763853/
https://www.ncbi.nlm.nih.gov/pubmed/36561283
http://dx.doi.org/10.1016/j.jtocrr.2022.100435
Descripción
Sumario:INTRODUCTION: Brain metastases (BM) severely affect the prognosis and quality of life of patients with NSCLC. Recently, molecularly targeted agents were found to have promising activity against BM in patients with NSCLC whose primary tumors carry “druggable” mutations. Nevertheless, it remains critical to identify specific pathogenic alterations that drive NSCLC-BM and that can provide novel and more effective therapeutic targets. METHODS: To identify potentially targetable pathogenic alterations in NSCLC-BM, we profiled somatic copy number alterations (SCNAs) in 51 matched pairs of primary NSCLC and BM samples from 33 patients with lung adenocarcinoma and 18 patients with lung squamous cell carcinoma. In addition, we performed multiregion copy number profiling on 15 BM samples and whole-exome sequencing on 40 of 51 NSCLC-BM pairs. RESULTS: BM consistently had a higher burden of SCNAs compared with the matched primary tumors, and SCNAs were typically homogeneously distributed within BM, suggesting BM do not undergo extensive evolution once formed. By comparing focal SCNAs in matched NSCLC-BM pairs, we identified putative BM-driving alterations affecting multiple cancer genes, including several potentially targetable alterations in genes such as CDK12, DDR2, ERBB2, and NTRK1, which we validated in an independent cohort of 84 BM samples. Finally, we identified putative pathogenic alterations in multiple cancer genes, including genes involved in epigenome editing and 3D genome organization, such as EP300, CTCF, and STAG2, which we validated by targeted sequencing of an independent cohort of 115 BM samples. CONCLUSIONS: Our study represents the most comprehensive genomic characterization of NSCLC-BM available to date, paving the way to functional studies aimed at assessing the potential of the identified pathogenic alterations as clinical biomarkers and targets.