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ONCOMINE: a cancer microarray database and integrated data-mining platform

Daniel R Rhodes1, Jianjun Yu, K Shanker

  • 1Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.

Neoplasia (New York, N.Y.)
|April 8, 2004
PubMed

Insights

ONCOMINE is a cancer microarray database that integrates vast gene expression data. This platform facilitates cancer research by enabling data mining for novel biomarkers and therapeutic targets.

Area of Science:

  • Oncogenomics
  • Bioinformatics
  • Cancer Research

Background:

  • DNA microarray technology has generated extensive cancer gene expression data.
  • A lack of unified bioinformatic resources has led to underutilization of this valuable data.
  • This data fragmentation hinders discovery of cancer biomarkers and therapeutic targets.

Purpose of the Study:

  • To present ONCOMINE, a cancer microarray database and web-based data-mining platform.
  • To facilitate discovery from genome-wide expression analyses in cancer.
  • To enable exploration of gene expression patterns across various cancer types and normal tissues.

Main Methods:

  • Development of a comprehensive cancer microarray database (ONCOMINE).
  • Inclusion of 65 gene expression datasets with nearly 48 million measurements from over 4700 experiments.
  • Implementation of differential expression analyses for cancer vs. normal tissues, subtypes, and clinical/pathology-based comparisons.
  • Development of a web-based platform for querying and visualizing gene expression data.

Main Results:

  • ONCOMINE integrates a substantial volume of cancer gene expression data.
  • The platform supports exploration of differential gene expression across numerous cancer types and subtypes.
  • Data can be queried for individual genes or multiple genes, with options to filter by clinical annotations.

Conclusions:

  • ONCOMINE provides a unifying bioinformatic resource for cancer microarray data.
  • The platform empowers researchers to mine genome-wide expression data for discoveries.
  • Facilitates identification of novel cancer biomarkers and therapeutic targets through integrated data analysis.

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