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Series GSE64472 Query DataSets for GSE64472
Status Public on Jul 06, 2017
Title Identification of HGF/c-MET as a biomarker of resistance to Vascular Endothelial Growth Factor Receptor (VEGFR) inhibitors
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by array
Summary Therapeutic resistance to VEGFR signaling inhibitors is a major obstacle in the treatment of non-small cell lung cancer (NSCLC). We investigated the contribution of stromal and tumor cells to resistance of NSCLC to VEGFR tyrosine kinase inhibitors (TKIs).
Gene expression analysis of stromal (mouse) and tumor (human) compartments enabled us to identify the HGF/c-MET pathway as a driver and a potential biomarker of VEGFR TKI resistance.
Overall design Murine models of human NSCLC were generated and targeted inhibition studies were performed using AZD2171 (cediranib) and ZD6474 (vandetanib). Species-specific transcriptomic profiling was applied to NSCLC xenografts that were sensitive or resistant to therapy.
Contributor(s) Cascone T, Kadara HN, Liu W
Citation(s) 28559461
Submission date Dec 23, 2014
Last update date Feb 18, 2019
Contact name Tina Cascone
Organization name UT MD Anderson Cancer Center
Department Cancer Medicine
Street address 1515 Holcombe Blvd.
City Houston
State/province TX
ZIP/Postal code 77030
Country USA
Platforms (2)
GPL6884 Illumina HumanWG-6 v3.0 expression beadchip
GPL6887 Illumina MouseWG-6 v2.0 expression beadchip
Samples (22)
GSM1571925 AZD2171 sensitive mouse xenograft 1
GSM1571926 AZD2171 sensitive mouse xenograft 2
GSM1571927 AZD2171 sensitive mouse xenograft 3
BioProject PRJNA271085

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE64472_RAW.tar 72.0 Mb (http)(custom) TAR (of IDAT)
GSE64472_non-normalized_human.txt.gz 2.2 Mb (ftp)(http) TXT
GSE64472_non-normalized_mouse.txt.gz 2.1 Mb (ftp)(http) TXT
Processed data included within Sample table

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