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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

The value of genomic analysis of breast cancer in drug development

Borbala Szekely1, Lajos Pusztai

  • 1Department of Breast Medical Oncology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77230-1439, USA.

Journal of the National Cancer Institute. Monographs
|November 2, 2011
PubMed

Insights

High-throughput genomic analysis aids drug discovery by identifying cancer response markers and treatment strategies. This approach accelerates the development of targeted therapies, benefiting both academia and the pharmaceutical industry.

Area of Science:

  • Oncology
  • Genomics
  • Drug Discovery

Background:

  • Drug development is lengthy and expensive.
  • Identifying effective cancer treatments remains a challenge.

Purpose of the Study:

  • To explore how high-throughput genomic analysis can improve cancer drug development.
  • To identify clinically relevant response markers.
  • To suggest combination treatment strategies and new therapeutic targets.

Main Methods:

  • High-throughput genomic analysis of cancer.
  • Bioinformatic analysis of genomic data.
  • Identification of biomarkers and therapeutic targets.

Main Results:

  • Genomic analysis provides clinically relevant response markers.
  • Identifies potential combination therapies for targeted agents.
  • Defines novel therapeutic targets for next-generation cancer drugs.

Conclusions:

  • High-throughput genomic analysis is a valuable tool for accelerating cancer drug discovery.
  • This approach can streamline the development process, reduce costs, and improve success rates.
  • It facilitates the identification of personalized treatment strategies and novel drug targets.

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