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James E. Korkola

Researcher at Oregon Health & Science University

Publications -  100
Citations -  16516

James E. Korkola is an academic researcher from Oregon Health & Science University. The author has contributed to research in topics: Cancer & Breast cancer. The author has an hindex of 34, co-authored 89 publications receiving 14360 citations. Previous affiliations of James E. Korkola include University of Toronto & Kettering University.

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Development and Validation of a Gene-Based Model for Outcome Prediction in Germ Cell Tumors Using a Combined Genomic and Expression Profiling Approach

TL;DR: A combined genomic and expression profiling approach to identify genomic regions and underlying genes that are predictive of outcome in GCT patients and indicates that these genes may aid in the identification of the small subset of patients who are at high risk of poor outcome.
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Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer.

TL;DR: Analysis of the breast cancer cell line MCF7 was plated on the MEMA platform and factors that both enhance and inhibit the growth and proliferation of these cells were identified.
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Resistance to chemically-induced mammary tumors in Copenhagen x nude-derived F2 athymic rats: Evidence that T-cell immunity is not involved in Copenhagen resistance

TL;DR: Results indicate that T-cells are not involved in Cop resistance, and that nude rats are resistant to N-methyl-N-nitrosourea-induced mammary tumorigenesis.
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A multiplex implantable microdevice assay identifies synergistic combinations of cancer immunotherapies and conventional drugs

TL;DR: In this article , the authors integrated high-throughput and high-content techniques to investigate the tumor cell and immunological response signatures to different treatment regimens, and identified effective combinations from among numerous agents within days.
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Optimizing stringency for expression microarrays

TL;DR: Analysis of a series of cell lines washed at the optimized stringency indicated that the rank order of relative expression levels for ERBB2 microarray clones agreed well with theRank order of ERBB1 levels, as measured by quantitative PCR.