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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
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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.
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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.
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Contributor(s) |
Teixeira VH, Pennycuick A |
Citation(s) |
30664780, 32690541 |
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Submission date |
Feb 07, 2017 |
Last update date |
Aug 24, 2021 |
Contact name |
Vitor H Teixeira |
E-mail(s) |
[email protected]
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Organization name |
University College London
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Department |
Medicine
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Lab |
Lungs for Lungs for Living Research Centre
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Street address |
5 University Street
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City |
London |
ZIP/Postal code |
WC1E 6JF |
Country |
United Kingdom |
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Platforms (1) |
GPL18281 |
Illumina HumanHT-12 WG-DASL V4.0 R2 expression beadchip [gene symbol version] |
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Samples (33)
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This SubSeries is part of SuperSeries: |
GSE108124 |
Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis |
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Relations |
BioProject |
PRJNA371618 |