Anticancer drugs: How to select small molecule combinations?

Ruth Nussinov1, Bengi Ruken Yavuz2, Hyunbum Jang3

  • 1Computational Structural Biology Section, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA; Cancer Innovation Laboratory, National Cancer Institute at Frederick, Frederick, MD 21702, USA; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.

Insights

Choosing the right combination anticancer drug therapies is complex. This guide helps oncologists select optimal treatment plans by considering drug targets, pathways, and gene expression to overcome drug resistance.

Area of Science:

  • Oncology
  • Pharmacology
  • Genomics

Background:

  • Single-agent anticancer therapies often lead to acquired drug resistance.
  • Understanding cancer's disruption of cellular processes is key to effective treatment.
  • Combination therapies offer a promising strategy to overcome resistance and target multiple pathways.

Purpose of the Study:

  • To provide a comprehensive guide for oncologists on selecting combinatorial anticancer therapy.
  • To address the complexities of choosing drug combinations based on molecular targets and patient-specific factors.
  • To elucidate the mechanistic basis of combination therapy selection.

Main Methods:

  • Review of current anticancer small molecule drugs and their targets.
  • Analysis of cancer-related pathways and gene expression profiles.
  • Exploration of challenges in combination therapy, including pathway crosstalk.

Main Results:

  • Identification of key factors influencing combinatorial therapy selection (target proteins, pathways, gene expression).
  • Discussion of the advantages and challenges of targeting multiple pathways simultaneously.
  • Presentation of examples and mechanistic insights for various combination strategies.

Conclusions:

  • Comprehensive combinatorial therapy selection requires a multi-faceted approach.
  • Understanding molecular mechanisms is crucial for optimizing treatment outcomes.
  • This guide serves as a foundational resource for navigating complex anticancer drug combinations.

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