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Managing Drug Resistance in Cancer: Role of Cancer Informatics

Ankur Gautam1, Kumardeep Chaudhary1, Rahul Kumar1

  • 1Bioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, 160036, India.

Methods in Molecular Biology (Clifton, N.J.)
|February 25, 2016
PubMed

Insights

Cancer drug resistance, often caused by mutations, can be better managed using bioinformatics. Tools like CancerDR help analyze vast cancer mutation data to guide oncology treatments.

Area of Science:

  • Oncology
  • Bioinformatics
  • Genomics

Background:

  • Cancer drug resistance is a major challenge in oncology.
  • Acquired mutations in drug targets are a key factor in resistance.
  • Advances in sequencing and screening generate extensive cancer pharmacologic data.

Purpose of the Study:

  • To describe the role of bioinformatics in understanding cancer drug resistance.
  • To highlight the utility of bioinformatics platforms like CancerDR.

Main Methods:

  • Meta-analysis of complex cancer pharmacologic and mutation data.
  • Utilizing bioinformatics platforms for data interpretation.

Main Results:

  • Bioinformatics provides essential tools for analyzing large-scale cancer datasets.
  • Platforms like CancerDR can interpret mutation spectrum data to understand drug resistance.

Conclusions:

  • Systematic bioinformatics analysis is crucial for managing cancer drug resistance.
  • Bioinformatics facilitates the translation of complex genomic data into actionable clinical insights.
Keywords:
BioinformaticsCancerDRDrug resistancePharmaco-profiling

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