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Series GSE94611 Query DataSets for GSE94611
Status Public on Jan 01, 2019
Title Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis I
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Rationale: Lung carcinoma-in-situ (CIS) lesions are the pre-malignant precursor to lung squamous cell carcinoma. However, only half progress to invasive cancer in three years, while a third spontaneously regress. Whether modern molecular profiling techniques can identify those preinvasive lesions that will subsequently progress and distinguish them from those that will regress is unknown. We performed gene expression microarrays on CIS lesions, with a view to deriving a molecular signature predictive of future progression to invasive cancer.
 
Overall design Progressive and regressive lung CIS lesions were laser-captured and their transcriptome interrogated. We analysed 17 progressive and 16 regressive CIS lesions. CIS gene expression profiles were further validated using publicly available lung cancer data.

Please note that the probe-level raw data is unavailable. Thus, only the gene-level raw data was included in the records.
 
Contributor(s) Teixeira VH, Pennycuick A
Citation(s) 30664780, 32690541
Submission date Feb 07, 2017
Last update date Aug 24, 2021
Contact name Vitor H Teixeira
E-mail(s) v.teixeira@ucl.ac.uk
Organization name University College London
Department Medicine
Lab Lungs for Lungs for Living Research Centre
Street address 5 University Street
City London
ZIP/Postal code WC1E 6JF
Country United Kingdom
 
Platforms (1)
GPL18281 Illumina HumanHT-12 WG-DASL V4.0 R2 expression beadchip [gene symbol version]
Samples (33)
GSM2479427 Regressive 1
GSM2479428 Regressive 2
GSM2479429 Regressive 3
This SubSeries is part of SuperSeries:
GSE108124 Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis
Relations
BioProject PRJNA371618

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
GSE94611_non_normalized.txt.gz 10.4 Mb (ftp)(http) TXT
Processed data included within Sample table

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