In:
Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 5126-5126
Abstract:
Background: Distant metastasis after treatment is observed in about 20% of Head and Neck Squamous Cell Carcinoma (HNSCC). In the absence of any validated robust biomarker, patients at higher risk for metastasis cannot be provided with appropriate therapy. In order to identify prognostic HNSCC molecular subgroups and potential biomarkers, we have performed genome-wide integrated analysis of four omic sets of data. Material and methods: Using state-of-the art technologies, a core of 45 metastasizing and 52 non-metastasizing HNSCC patient samples were analyzed at four different levels: gene expression (transcriptome), DNA methylation (methylome), DNA copy number (genome) and miRNA expression (miRNome). Molecular subgroups were identified by a model-based clustering analysis, and their clinical relevance was evaluated by survival analysis. Results: Transcriptome, methylome and miRNome patient subgroups with shorter metastasis-free survival were identified. A contingency analysis uncovered a R1 group of common tumors, which predicts metastasis occurrence with a higher statistical power than individual omic data sets. R1 and non-R1 samples display similar DNA copy number landscapes, but more frequent chromosomal aberrations are observed in the R1 cluster (especially loss at 13q14.2-3). R1 tumors are characterized by alterations of signaling pathways involved in cell-cell adhesion, EMT, immune response and apoptosis. Conclusions: Integration of data across several omic profiles leads to better selection of patients at risk, identification of relevant molecular pathways of metastasis, and potential to discover biomarkers and drug targets. Citation Format: Alain C. Jung, Sylvie Job, Sonia Ledrappier, Christine Macabre, Joseph Abecassis, Aurélien de Reynies, Bohdan Wasylyk. A poor prognosis subtype of HNSCC is consistently observed acrossmethylome, transcriptome and miRNome analysis. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 5126. doi:10.1158/1538-7445.AM2013-5126
Type of Medium:
Online Resource
ISSN:
0008-5472
,
1538-7445
DOI:
10.1158/1538-7445.AM2013-5126
Language:
English
Publisher:
American Association for Cancer Research (AACR)
Publication Date:
2013
detail.hit.zdb_id:
2036785-5
detail.hit.zdb_id:
1432-1
detail.hit.zdb_id:
410466-3
