Tyrosine Kinase inhibitors (TKIs) constitute the most promising frontier of cancer treatment. However, the development of resistance mechanisms often makes the tumour insensitive to TKI-targeted therapy. The present work aims to identify genes and pathways involved in TKI-resistance. To this end, we developed cellular models of NSCLC and designed cellular, molecular and bioinformatics analyses. Preliminary functional enrichment analysis of genes, found consistently altered in resistant cell lines, indicates their involvement in key biological processes.

Integrated analysis of DNA copy number and gene expression data in Lung cancer models of resistance to targeted therapy

Fustaino V;Felici G;Ruberti G
2014

Abstract

Tyrosine Kinase inhibitors (TKIs) constitute the most promising frontier of cancer treatment. However, the development of resistance mechanisms often makes the tumour insensitive to TKI-targeted therapy. The present work aims to identify genes and pathways involved in TKI-resistance. To this end, we developed cellular models of NSCLC and designed cellular, molecular and bioinformatics analyses. Preliminary functional enrichment analysis of genes, found consistently altered in resistant cell lines, indicates their involvement in key biological processes.
2014
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
Istituto di Biologia Cellulare e Neurobiologia - IBCN - Sede Monterotondo Scalo
Istituto di Biochimica e Biologia Cellulare - IBBC
Tyrosine Kinase inhibitor resistance
Non-small cell lung cancer
gene expression analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/227131
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