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Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
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Published on: February 6, 2015

Connecting chemosensitivity, gene expression and disease

David G Covell1

  • 1Laboratory of Computational Technologies, Screening Technologies Branch, Developmental Therapeutics Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Frederick, MD 21702, USA. covell@mail.ncifcrf.gov

Trends in Pharmacological Sciences
|December 7, 2007
PubMed

Insights

Omics-based studies analyze gene expression and chemosensitivity data to uncover disease biology and identify new therapeutic targets. This approach links compounds to biological mechanisms through genomic profiles, aiding drug discovery.

Area of Science:

  • Genomics
  • Pharmacology
  • Systems Biology

Background:

  • Omics-based investigations provide valuable insights into normal and diseased biological states.
  • Analyzing gene expression and chemosensitivity data is crucial for identifying therapeutic targets and biomarkers.
  • Understanding target function in disease phenotypes requires examining gene expression and small molecule interactions.

Purpose of the Study:

  • To explore the utility of omics-based investigations in understanding disease biology.
  • To identify novel therapeutic targets and biomarkers through systematic data analysis.
  • To establish a link between chemical compounds, genomic profiles, and underlying biological mechanisms.

Main Methods:

  • Systematic analysis of gene expression data.
  • Analysis of chemosensitivity data in the context of disease states.
  • Integration of chemical and pharmacogenetics data.

Main Results:

  • Omics data can reveal underlying disease biology.
  • Potential therapeutic targets and biomarkers can be identified.
  • A link between compounds, genomic profiles, and biological function can be established.

Conclusions:

  • Omics-based approaches are powerful tools for biological investigation.
  • Systematic analysis of omics data aids in therapeutic target and biomarker discovery.
  • Covariation of genetic and chemosensitivity data offers a pathway to link compounds to biology.

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