Genomics

Dataset Information

0

MiRNA profiling in relapsed or metastatic HNSCC patients treated with cetuximab and platinum therapy


ABSTRACT: By gene expression profiling (GEP) of head and neck squamous cell carcinomas (HNSCC) we were able to identify candidate biomarkers of progression free survival (PFS) in patients treated with cetuximab-based approaches (Bossi et al, Clinical Cancer Research 2016) . Here, the same samples were used for miRNA expression profiling. Integration of miRNA and gene expression data highlighted 16 miRNAs and 84 genes interconnected in a total of 245 interactions. After feature selection by smoothed t-statistic support vector machine, we identified a network 3 miRNAs and 5 genes that resulted the most relevant in predicting PFS (AUC=0.992). Overall, using a well defined clinical setting we gave the proof of principle that an integrative miRNA-mRNA expression could greatly contribute to refinement of the biology behind and to the potential identification of a predictive model.

ORGANISM(S): Homo sapiens

PROVIDER: GSE92595 | GEO | 2017/03/08

SECONDARY ACCESSION(S): PRJNA358220

REPOSITORIES: GEO

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