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Series GSE72536 Query DataSets for GSE72536
Status Public on Sep 01, 2016
Title Gene expression analysis of TIL rich HPV driven head and neck tumours reveals a distinct B-cell signature when compared to HPV independent tumours.
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: Human papilloma virus (HPV) associated head and neck squamous cell carcinoma (HNSCC) has a better prognosis than HPV(-) negative cancer. This may be due, in part, to the higher number of tumour infiltrating lymphocytes (TIL) in HPV(+) tumours. We used RNAseq to evaluate whether these differences in clinical behaviour could be explained simply by a numerical difference in TILs or whether there was a fundamental difference between TILs in these two settings.
Patients and methods: Twenty-three consecutive HNSCC cases with high and moderate TIL density were subjected to RNAseq analysis. Differentially expressed genes (DEG) between 10 HPV(+) and 13 HPV(-) tumours were identified with EdgeR. Immune subset analysis was performed using, FAIME (Functional Analysis of Individual Microarray Expression) and Immune gene transcript count analysis.
Results: 1634 genes were differentially expressed. There was a dominant immune signature in HPV(+) tumours. After normalizing expression profiles for numerical differences in T cells and B cells, 437 significantly DEGs still remained. A B-cell associated signature emerged, which segregated HPV(+) from HPV(-) cancers and included CD200, STAG3, GGA2, SPIB and ADAM28. Differential expression of these genes was confirmed by real-time quantitative PCR and immunohistochemistry.
Conclusion: In our dataset, the difference associated with T-cells between patients with HPV(+) and (-) HNSCC was predominantly numerical. However, when TIL numbers are corrected, a distinct differential B-cell signature was revealed.
 
Overall design mRNA profiles of 10 HPV driven (HPV+) and 13 HPV independant (HPV-) head and neck squamous cell carcinoma (HNSCC) tumours were generated by RNA-Seq, using Illumina HiSeq 2000.
 
Contributor(s) Wood O, Woo J, Seumois G, Woelk CH, King E
Citation(s) 27462861, 30655616
Submission date Aug 31, 2015
Last update date Jul 01, 2019
Contact name Christopher Woelk
E-mail(s) [email protected]
Organization name University of Southampton
Department Faculty of Medicine
Lab LE74A
Street address Southampton General Hospital
City Southampton
State/province Hampshire
ZIP/Postal code SO16 6YD
Country United Kingdom
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (23)
GSM1864245 Patient1
GSM1864246 Patient2
GSM1864247 Patient3
Relations
BioProject PRJNA294293
SRA SRP063006

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE72536_RAW.tar 2.1 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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