Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcription profiling of human HNSCC survival predictin using FFPE samples


ABSTRACT: Recently it was shown that gene expression signatures generated from DNA microarray analyses have promise as biomarkers of clinical outcome and that the molecular characteristics of tumors could be elucidated. Through this study, we have determined a high-risk signature for recurrence as a prognostic biomarker using formalin-fixed HNSCC tumors and tested the results to an independent data set obtained from fresh frozen tumors as a comparison. Also, we have shown the genes that are involved in epithelial to mesenchymal transition and nuclear factor-ĸB signaling deregulation are the most prominent molecular characteristics of the high-risk tumors. Forty samples including 34 formalin-fixed tissues and 6 matched frozen tissues from 29 HNSCC patients were analyzed for gene expression. The formalin-fixed tumors were classified based on their gene expression by intrinsic analysis and the intrinsic gene list was tested on the classification of previously published 60 frozen HNSCC tumors which highly correlated. Based on the molecular classification, a 75-gene list that is predictive of high-risk for recurrence was determined by training on the formalin-fixed tumor set and tested on the independent frozen tumor set. The difference in recurrence-free survival (RFS) between the high-risk vs. low-risk groups in the training and test sets were statistically significant (Log-rank test, p=0.002 and p=0.03, respectively). Also, the gene expression data was interrogated using Gene Set Enrichment Analysis to determine functional significance. The most significant sets of genes that are enriched in the high-risk tumors were genes involving epithelial to mesenchymal transition (EMT), NF-ĸB activation and cell adhesion. In conclusion, global gene expression analysis is feasible using formalin-fixed tissue, and the data from different sample preparations and array platforms can be reliably combined for analyses. The 75-gene list can be utilized as a prognostic biomarker of recurrence and the molecular characteristics of EMT and NF-ĸB activation can be targeted as the novel therapy in the identified high-risk patients. Experiment Overall Design: 34 HNSCC samples from FFPE tissue and 6 HNSCC samples from fresh frozen tissue. Each independtly hybridized using Affymetrix X3P chips.

ORGANISM(S): Homo sapiens

SUBMITTER: Christine Chung 

PROVIDER: E-GEOD-2837 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Gene expression profiles identify epithelial-to-mesenchymal transition and activation of nuclear factor-kappaB signaling as characteristics of a high-risk head and neck squamous cell carcinoma.

Chung Christine H CH   Parker Joel S JS   Ely Kim K   Carter Jesse J   Yi Yajun Y   Murphy Barbara A BA   Ang K Kian KK   El-Naggar Adel K AK   Zanation Adam M AM   Cmelak Anthony J AJ   Levy Shawn S   Slebos Robbert J RJ   Yarbrough Wendell G WG  

Cancer research 20060801 16


Gene expression signatures generated from DNA microarray analyses have shown promise as predictive biomarkers of clinical outcome. In this study, we determined a high-risk signature for disease recurrence using formalin-fixed head and neck squamous cell carcinoma (HNSCC) tumors and compared the results with an independent data set obtained from fresh frozen tumors. We also showed that genes involved in epithelial-to-mesenchymal transition (EMT) and nuclear factor-kappaB (NF-kappaB) signaling der  ...[more]

Similar Datasets

2006-11-02 | GSE2837 | GEO
2013-06-23 | E-GEOD-47109 | biostudies-arrayexpress
2022-05-04 | GSE195459 | GEO
2023-07-11 | GSE236725 | GEO
2009-01-01 | GSE13239 | GEO
2008-10-15 | GSE10142 | GEO
2008-10-15 | GSE10140 | GEO
2008-10-15 | GSE10141 | GEO
2008-10-15 | GSE10143 | GEO
2013-06-23 | GSE47109 | GEO