Combinatorial drug therapy for cancer in the post-genomic era

Bissan Al-Lazikani, Udai Banerji, Paul Workman

Research output: Contribution to journalReview articlepeer-review

765 Scopus citations

Abstract

Over the past decade, whole genome sequencing and other 'omics' technologies have defined pathogenic driver mutations to which tumor cells are addicted. Such addictions, synthetic lethalities and other tumor vulnerabilities have yielded novel targets for a new generation of cancer drugs to treat discrete, genetically defined patient subgroups. This personalized cancer medicine strategy could eventually replace the conventional one-size-fits-all cytotoxic chemotherapy approach. However, the extraordinary intratumor genetic heterogeneity in cancers revealed by deep sequencing explains why de novo and acquired resistance arise with molecularly targeted drugs and cytotoxic chemotherapy, limiting their utility. One solution to the enduring challenge of polygenic cancer drug resistance is rational combinatorial targeted therapy.

Original languageEnglish (US)
Pages (from-to)679-692
Number of pages14
JournalNature biotechnology
Volume30
Issue number7
DOIs
StatePublished - Jul 2012
Externally publishedYes

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology
  • Molecular Medicine
  • Biomedical Engineering

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