Project description:Whole exome sequencing was performed on set of 48 DNA samples obtained from 16 EGFR mutated NSCLC patients whose tumors progressed following EGFR-TKI treatment. The DNA samples included baseline biopsy, rebiopsy and blood from the same patient. By comparing the variants in rebiopsy tumors and baseline tumors we aim to understand the genomic alterations responsible for the development of EGFR-TKI resistance in NSCLC patients.
Project description:Lung adenocarcinoma cells harboring epidermal growth factor receptor (EGFR) mutations are sensitive to EGFR tyrosine kinase inhibitors (TKIs). Prolonged cancer treatment will induce the development of acquired resistance to EGFR TKI. To gain insight into the molecular mechanisms of EGFR-TKIs resistance, we generate EGFR-TKI-resistant HCC827-8-1 cells to be analyzed by microarray with their parental HCC827cells. gefitinib resistant HCC827-8-1 cells with three replications; gefitinib-sensitive HCC827 cells with three replications
Project description:Epidermal growth factor receptor (EGFR) harboring active mutations, Del19 and L858R, are most common oncogenic mutations in in non-small cell lung cancer (NSCLC) patients. The preferred treatment at first line is tyrosine kinase inhibitor (TKI) administration while the TKI-resistance usually develops because of acquiring the secondary EGFR T790M mutant. Protein-protein interactions (PPIs) constitute the signaling scaffold and thus aberrant PPIs ascribed to mutations often results in dysregulations of downstream signaling cascades. Affinity purification coupled mass spectrometry (AP-MS) was utilized to characterize the EGFR PPIs in four NSCLC cells which carry different EGFR subtypes representing as TKI-sensitive and -resistant models in this study. The EGFR interactomes of TKI-resistant NSCLC cells presented higher diversity of subcellular distribution as well as the hyperactive EGFR trafficking. Furthermore, gefitinib perturbation activated autophagy-mediated EGFR degradation in TKI-resistant NSCLC models and inhibiting autophagy process indeed reduced the TKI-resistance against gefitinib as cytotoxicity was significantly improved. Alternatively, gefitinib induced EGFR translocation toward cell periphery through Rab7 ubiquitination in TKI-sensitive models which may confer TKIs more chance to suppress EGFR activity. In brief, acquired T790M EGFR mutation rewired the EGFR inherent interactomes and thus guided EGFR moving toward distinct trafficking routes, EGFR recycling or autophagy-mediated degradation, in response to TKI insult in TKI-sensitive and -resistant NSCLC cells. These finding suggest that manipulation or combined autophagy inhibition may provide us a novel therapeutic strategy to manage TKI-resistance and tumor relapse in NSCLC.
Project description:Lung adenocarcinoma cells harboring epidermal growth factor receptor (EGFR) mutations are sensitive to EGFR tyrosine kinase inhibitors (TKIs). Prolonged cancer treatment will induce the development of acquired resistance to EGFR TKI. To gain insight into the molecular mechanisms of EGFR-TKIs resistance, we generate EGFR-TKI-resistant HCC827-8-1 cells to be analyzed by microarray with their parental HCC827cells.
Project description:Previous study has demonstrated that HCC827/gef cells are resistant to gefitinib-induced aspoptosis. To investigate the regulators contributed to gefitinib resistance in lung cancer, we analyzed the gene expression profiles between HCC827 andHCC827/gef cells. Reduced IGFBP7 in TKI-resistant cells reversed resistance to EGFR-TKIs, and increased EGFR-TKI-induced apoptosis through up-regulation of BIM and activation of caspases. Suppression of IGFBP7 attenuated phosphorylation of IGF-IR and downstream AKT in TKI-resistant cells.
Project description:Purpose: The aim of this study is to compare the differentially expressed transcriptome of TKI resistance NSCLC cells and their parental cells Methods: mRNA profiles of the TKI-resistant NSCLC cells and their parental cells were generated by deep sequencing using Illumina HiSeq4000. Clean RNA-seq data was quantified and analyzed using the CLC genomics workbench software version 11.0 (Qiagen, Hilden, Germany). Results: In the current study, we established three EGFR-TKI-resistant cell lines and analyzed their expression profiles by RNA sequencing. We mapped about 30 million sequence reads per sample to the human genome (hg38) sequence and identified 21,463 transcripts in the parental and TKI-resistant NSCLC cells. Over 10% of the transcripts showed differential expression between the parental andTKI-resistant NSCLC cells, with a fold change ≥1.5 and p value <0.05. Transcriptome data analysis revealed the existence of significant overlaps and significant upregulation of epithelial-mesenchymal transition (EMT) pathway in the three cell lines with EGFR-TKI resistance. Conclusions: Our results showed that RNA-seq based transcriptome characterization offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within TKI-resistant NSCLC cells.
