Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Affymetrix SNP6 copy number data on ovarian cancer cell lines


ABSTRACT: Background: Ovarian carcinomas consist of at least five distinct diseases: high-grade serous, low-grade serous, clear cell, endometrioid, and mucinous. Biomarker and molecular characterization may represent a more biologically relevant basis for grouping and treating this family of tumors, rather than site of origin. Molecular characteristics have become the new standard for clinical pathology, however development of tailored type-specific therapies is hampered by a failure of basic research to recognize that model systems used to study these diseases must also be stratified. Unrelated model systems do offer value for study of biochemical processes but specific cellular context needs to be applied to assess relevant therapeutic strategies. Methods: We have focused on the identification of

ORGANISM(S): Homo sapiens

SUBMITTER: Michael Anglesio 

PROVIDER: E-GEOD-48351 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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