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Status |
Public on May 06, 2015 |
Title |
caArray_beer-00153: Gene-expression profiles predict survival of patients with lung adenocarcinoma |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
Histopathology is insufficient to predict disease progression and clinical outcome in lung adenocarcinoma. Here we show that gene-expression profiles based on microarray analysis can be used to predict patient survival in early-stage lung adenocarcinomas. Genes most related to survival were identified with univariate Cox analysis. Using either two equivalent but independent training and testing sets, or 'leave-one-out' cross-validation analysis with all tumors, a risk index based on the top 50 genes identified low-risk and high-risk stage I lung adenocarcinomas, which differed significantly with respect to survival. This risk index was then validated using an independent sample of lung adenocarcinomas that predicted high- and low-risk groups. This index included genes not previously associated with survival. The identification of a set of genes that predict survival in early-stage lung adenocarcinoma allows delineation of a high-risk group that may benefit from adjuvant therapy.
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Overall design |
beer-00153 Assay Type: Gene Expression Provider: Affymetrix Array Designs: Hu6800 Organism: Homo sapiens (ncbitax) Disease States: lung cancer, normal
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Citation(s) |
12118244 |
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Submission date |
May 05, 2015 |
Last update date |
Jul 08, 2016 |
Contact name |
Mervi Heiskanen |
E-mail(s) |
mervi.heiskanen@nih.gov
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Phone |
2402765175
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Organization name |
NCI
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Department |
CBIIT
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Street address |
9609 Medical Center Drive, 1W378
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City |
Rockville |
State/province |
MD |
ZIP/Postal code |
20850 |
Country |
USA |
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Platforms (1) |
GPL80 |
[Hu6800] Affymetrix Human Full Length HuGeneFL Array |
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Samples (96)
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Relations |
BioProject |
PRJNA283120 |