GSM2479459[Accession] - GEO DataSets

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Items: 4

Select item 2001081241.

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Homo sapiens

Type:: Expression profiling by array; Methylation profiling by genome tiling array

Platforms:: GPL23126 GPL18281 GPL13534
138 Samples

Download data: CEL, IDAT

Series

Accession:: GSE108124

ID:: 200108124

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000946112.

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis I

(Submitter supplied) 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.