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Series GSE31056 Query DataSets for GSE31056
Status Public on Aug 03, 2011
Title A gene signature in histologically normal surgical margins is predictive of oral carcinoma recurrence
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Samples were prospectively collected from patients with histologically normal surgical resection margins. 96 tissue samples (histologically normal margins, oral carcinoma and adjacent normal tissues) from 24 patients comprised the training set. Our study design was guided by the hypothesis that the expression of genes present in oral squamous cell carcinoma (OSCC) but not in healthy oral tissues would be indicative of recurrence in advance of histological alteration. We used meta-analysis of five published microarray data sets (GEO accession GDS2520, Kuriakose et al. 2004; GDS1584, Toruner et al. 2004; GSE6791, Pyeon et al. 2007; GSE9844, Ye et al. 2008; and GSE10121, Sticht et al. 2008), in conjunction with the current training set, to identify genes reliably over-expressed in OSCC. This reduced gene set was used to train a risk model to predict recurrence based on over-expression of a subset of these genes in histologically normal surgical resection margins. Validation of the risk signature was performed using quantitative real-time reverse-transcription PCR in an independent set of 136 samples from an independent cohort of 30 patients.
 
Overall design This was a case-only design involving a training set of 23 tumors and 73 margins from 24 patients with squamous cell carcinoma of the tongue.
 
Contributor(s) Reis PP, Waldron L, Perez-Ordonez B, Pintilie M, Galloni NN, Xuan Y, Cervigne NK, Warner GC, Makitie AA, Simpson C, Goldstein D, Brown D, Gilbert R, Gullane P, Irish J, Jurisica I, Kamel-Reid S
Citation(s) 21989116
Submission date Jul 29, 2011
Last update date Oct 16, 2012
Contact name Levi Waldron
E-mail(s) [email protected]
Organization name Harvard School of Publich Health
Department Biostatistics
Street address 655 Huntington Avenue
City Boston
State/province MA
ZIP/Postal code 02115
Country USA
 
Platforms (1)
GPL10526 [HG-U133_Plus_2] Affymetrix GeneChip Human Genome HG-U133 Plus 2 Array [Brainarray HGU133Plus2_Hs_ENTREZG_v12]
Samples (96)
GSM771152 HNO2-19916N
GSM771153 HNO2-19916T
GSM771154 HNO2-127I
Relations
BioProject PRJNA144853

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
GSE31056_RAW.tar 457.0 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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