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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
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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.
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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.
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Contributor(s) |
Wood O, Woo J, Seumois G, Woelk CH, King E |
Citation(s) |
27462861, 30655616 |
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Submission date |
Aug 31, 2015 |
Last update date |
Jul 01, 2019 |
Contact name |
Christopher Woelk |
E-mail(s) |
[email protected]
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Organization name |
University of Southampton
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Department |
Faculty of Medicine
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Lab |
LE74A
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Street address |
Southampton General Hospital
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City |
Southampton |
State/province |
Hampshire |
ZIP/Postal code |
SO16 6YD |
Country |
United Kingdom |
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Platforms (1) |
GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
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Samples (23)
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Relations |
BioProject |
PRJNA294293 |
SRA |
SRP063006 |