Hcc78_crizo
Ontology highlight
ABSTRACT:
TISSUE(S): Lung
DISEASE(S): Infected With Hbv Xmutant
SUBMITTER: liangliang,cai
REPOSITORIES: NODE
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| 1590654234931.gz | Other | |||
| 1590654235281.gz | Other | |||
| 1590654235571.gz | Other | |||
| 1590654245251.gz | Other | |||
| 1590654254525.gz | Other |
Items per page: 5 1 - 5 of 12 |
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Project description:Starting with H3122 cells, which harbor the EML4-ALK E13;A20 fusion and are known to be sensitive to ALK tyrosine kinase inhibitors, we generated isogenic pairs of ALK TKI sensitive and ALK TKI resistant cell lines using established methods (see Chmeliecki, J et al Science Trans Med 2011). We modeled resistance against the currently FDA approved ALK TKI, crizotinib (also called PF-1066). We also modeled resistance against a novel more potent ALK inhibitor, X-376 (ref: Lovly, CM et al Cancer Research 2011). We compared gene expression profiles between the 'parental' (ALK TKI sensitive) H3122 cells and the drug resistant cells (H3122 CR for Crizotinib resistant cells and H3122 XR for X-376 resistant cells).
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Project description:The non-small cell lung carcinoma (NSCLC) PC9 cell line is an established preclinical model for tyrosine kinase inhibitors. To be able to better understand the differences in response between individual cells, we performed treatment of PC9 cells grown in cell culture with etoposide, erlotinib and its combination with crizotinib, followed by Drop-seq. The addition of crizotinib was guided by our previous data that an erlotinib-resistant drug population may be sensitive to crizotinib. To better understand the common events in drug resistance, we compared the resistant cell populations arising from the treatment with etoposide and from the treatment with erlotinib. The results of our study will address emerging drug resistance that limits clinical usefulness of conventional and targeted strategies, particularly in NSCLC.
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Project description:In this study we have analysed the transcription profile of ALK rearranged cell lines (COST, DEL, JB6, KARPAS, SR786, SUPM2, TS). The analysis was done on untreated cell lines and on the te same cell lines surviving to progressive increasing addition of crizotinib to the culture medium. Crizotinib concentration was progressively increased to reach a final concentration of 1 μM. The resulting pool of resistant cells (designated crizotinib-resistant (CR)) were maintained in RPMI with 10% FBS containing 0.5-1 μM crizotinib.
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Project description:The non-small cell lung cancer (NSCLC) cell line HCC827 harbors an activating EGFR mutation (exon 19 deletion) that confers sensitivity to the FDA-approved EGFR inhibitor erlotinib. By applying the ClonTracer barcoding system, we were able to show the presence of pre-existing sub-populations in HCC827 that contribute to erlotinib resistance. Prior studies implicated that MET amplification confers resistance to erlotinib in this cell line. Therefore we examined the effects of the c-Met inhibitor crizotinib on the barcoded HCC827 population when treated either sequentially or simultaneously with both inhibitors. Despite the significant reduction in barcode complexity, the erlotinib/crizotinib combination treatment failed to eradicate all of the resistant clones implying the presence of an erlotinib/crizotinib dual resistant subpopulation. We performed transcriptome profiling (RNA-seq) to elucidate the potential resistance mechanisms of the dual resistant subpopulation in comparison to vehicle-treated or single agent erlotinib-resistant HCC827 cell populations as controls. mRNA profiling of the subpopulations of human NSCLC cell line HCC827 that contribute to EGFR inhibitor erlotinib and MET inhibitor crizotinib resistance
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Project description:10 cell lines (five cetuximab sensitive and five cetuximab resistant) were selected for gene copy number array analysis on the Affymetrix SNP 6.0 platform. 39 protein coding genes were amplified in cetuximab resistant cells and normal in sensitive cells, all present on genomic regions 11q22.1 or 5p13-15. Five genes were selected for quantitative PCR verification, namely, YAP1 and TRPC6 (11q22.1) and PDCD6, TPPP, and PTGER4 (5p13-15). An extended panel of totally 10 cetuximab resistant and 10 sensitive cell lines verified that YAP1 amplified cells are cetuximab resistant. YAP1 gene amplification was highly correlated to the YAP1 mRNA expression, which was significantly higher in cetuximab resistant cells than in sensitive. YAP1 downregulation resulted in increased cetuximab sensitivity in one of two cetuximab resistant cell lines investigated and growth inhibition in another. We conclude that YAP1 is a marker for cetuximab resistance in head and neck cancer. head and neck cancer cell lines with established cetuximab response were selected. 5 cetuximab resistant cell lines and 5 cetuximab sensitive cell lines were selected for gene genome wide gene copy number analysis on the Affymetrix SNP6.0 array
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