Dataset Information

MicroRNA expression in head and neck cancer associates with alcohol consumption and survival.

ABSTRACT: The contribution of microRNAs (miRNAs) to carcinogenesis in many tumors, including head and neck squamous cell carcinomas (HNSCCs), is clear, but the etiology and clinical significance of their alteration remain important questions. Our previous work has identified four miRNAs as differentially expressed HNSCCs compared with non-diseased epithelia and showed that there is potential diagnostic utility in examining their expression. Here, we used quantitative real-time polymerase chain reaction to determine the relative expression of these miRNAs in a larger independent case series of HNSCC tumors (n = 169), examining associations of miRNA expression with exposures and clinical features associated with HNSCC. In multivariate analyses, expression of miR-375 was shown to increase with alcohol consumption (P = 0.002) and showed higher expression in tumors of pharyngeal and laryngeal origin compared with oral tumors (P < 0.05 and P < 0.01, respectively). Additionally, high miR-21 expression was associated with significantly decreased 5 year survival in patients (hazard ratio, 1.68; 95% CI: 1.04-2.77) in a model controlled for patient age, gender and tumor stage. Together, these data suggest that alterations in miRNA expression are related to exposures causal in head and neck cancer and may be useful biomarkers of patient outcome.

SUBMITTER: Avissar M

PROVIDER: S-EPMC2792323 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature

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MicroRNA expression in head and neck cancer associates with alcohol consumption and survival.

Avissar Michele M McClean Michael D MD Kelsey Karl T KT Marsit Carmen J CJ

Carcinogenesis 20091201 12

The contribution of microRNAs (miRNAs) to carcinogenesis in many tumors, including head and neck squamous cell carcinomas (HNSCCs), is clear, but the etiology and clinical significance of their alteration remain important questions. Our previous work has identified four miRNAs as differentially expressed HNSCCs compared with non-diseased epithelia and showed that there is potential diagnostic utility in examining their expression. Here, we used quantitative real-time polymerase chain reaction to ...[more]

PMID: 19901002

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Project description:Gene expression signatures that are predictive of therapeutic response or prognosis are increasingly useful in clinical care; however, mechanistic (and intuitive) interpretation of expression arrays remains an unmet challenge. Additionally, there is surprisingly little gene overlap among distinct clinically validated expression signatures. These "causality challenges" hinder the adoption of signatures as compared to functionally well-characterized single gene biomarkers. To increase the utility of multi-gene signatures in survival studies, we developed a novel approach to generate "personal mechanism signatures" of molecular pathways and functions from gene expression arrays. FAIME, the Functional Analysis of Individual Microarray Expression, computes mechanism scores using rank-weighted gene expression of an individual sample. By comparing head and neck squamous cell carcinoma (HNSCC) samples with non-tumor control tissues, the precision and recall of deregulated FAIME-derived mechanisms of pathways and molecular functions are comparable to those produced by conventional cohort-wide methods (e.g. GSEA). The overlap of "Oncogenic FAIME Features of HNSCC" (statistically significant and differentially regulated FAIME-derived genesets representing GO functions or KEGG pathways derived from HNSCC tissue) among three distinct HNSCC datasets (pathways:46%, p<0.001) is more significant than the gene overlap (genes:4%). These Oncogenic FAIME Features of HNSCC can accurately discriminate tumors from control tissues in two additional HNSCC datasets (n?=?35 and 91, F-accuracy?=?100% and 97%, empirical p<0.001, area under the receiver operating characteristic curves?=?99% and 92%), and stratify recurrence-free survival in patients from two independent studies (p?=?0.0018 and p?=?0.032, log-rank). Previous approaches depending on group assignment of individual samples before selecting features or learning a classifier are limited by design to discrete-class prediction. In contrast, FAIME calculates mechanism profiles for individual patients without requiring group assignment in validation sets. FAIME is more amenable for clinical deployment since it translates the gene-level measurements of each given sample into pathways and molecular function profiles that can be applied to analyze continuous phenotypes in clinical outcome studies (e.g. survival time, tumor volume).

Dataset Information

MicroRNA expression in head and neck cancer associates with alcohol consumption and survival.

Publications

MicroRNA expression in head and neck cancer associates with alcohol consumption and survival.

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