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Article

Integrated multiomic predictors for ovarian cancer survival.

Carcinogenesis - 3 Jul 2018

Fu Alan, Chang Helena R, Zhang Zuo-Feng

Abstract excerpt

Increasingly affordable high-throughput molecular profiling technologies have made feasible the measurement of omics-wide interindividual variations for the purposes of predicting cancer prognosis. While multiple types of genetic, epigenetic and expression changes have been implicated in ovarian cancer, existing prognostic biomarker strategies are constrained to analyzing a single class of molecular variations....

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Share to DNA Methylation
Share to Epigenesis, Genetic
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Neoplastic

Share to Genome, Human

Share to Ovarian Neoplasms

Share to Progression-Free Survival

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Identifiers

PMID: 29897425
DOI: 10.1093/carcin/bgy055
PMCID: PMC6031025

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