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Dataset Information

Protein profiling of ovarian cancers by immunohistochemistry to identify potential target pathways.


ABSTRACT:

Background

To determine the protein expression profile (PEP) of primary and recurrent ovarian cancer patients in order to predict therapeutic targets for chemotherapy.

Methods

Tissue samples were submitted for PEP in two formats, including formalin-fixed paraffin-embedded tissue for immunohistochemistry (IHC) and fresh frozen tissue for oligonucleotide microarray (MA) gene expression assays. Specimens were analyzed for 18 protein markers and 88 MA genes. A series of Generalized Linear Models (GLM) was used to predict the proportion of positive results by histology for each biomarker.

Results

Four hundred and twenty-eight specimens were analyzed for IHC and 67 specimens for MA analysis. The majority of specimens, 82%, were serous histology and 35.3% of specimens were p

SUBMITTER: Foss CD 

PROVIDER: S-EPMC4877732 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature