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Series GSE30979 Query DataSets for GSE30979
Status Public on Jul 28, 2011
Title Gene expression in hypoxic non-small cell lung cancer
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Hypoxia triggers aggressive cancer growth and contributes to chemotherapy resistance. Novel therapeutic strategies aim at targeting hypoxia activated signaling pathways. Tumor hypoxia not only affects neoplastic tumor cells but also the surrounding stroma cells. Therefore, a novel ex vivo model was established, which allows the study of hypoxia effects in fragments of non-small cell lung cancer (NSCLC) with preserved tumor microenvironment and 3D-structure. Microarray analysis identified 107 significantly regulated genes with at least two-fold expression change in hypoxic compared to normoxic fragments. However, only four genes were significantly regulated in both subtypes, adenocarcinoma and squamous cell carcinoma. The hypoxic regulation of these four genes was verified in an independent set using quantitative PCR.
 
Overall design Non-small cell lung cancer (NSCLC) fragments were cultured ex vivo under hypoxia or normoxia for three days. cDNA microarray analysis was performed in hypoxic and normoxic lung cancer fragments from ten patients.
 
Contributor(s) Leithner K, Wagner K, Ebner B, Guelly C
Citation(s) 24460801
Submission date Jul 27, 2011
Last update date Jul 26, 2018
Contact name Katharina Leithner
E-mail(s) katharina.leithner@medunigraz.at
Phone +43 316 385 80631
Organization name Medical University of Graz
Department Department of Internal Medicine, Division of Pulmonology
Street address Auenbruggerplatz 20
City Graz
ZIP/Postal code A-8036
Country Austria
 
Platforms (1)
GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [transcript (gene) version]
Samples (20)
GSM767776 Hypoxic NSCLC fragments patient #1010
GSM767777 Hypoxic NSCLC fragments patient #1209
GSM767778 Hypoxic NSCLC fragments patient #1210
Relations
BioProject PRJNA146187

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

Supplementary file Size Download File type/resource
GSE30979_RAW.tar 76.9 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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