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. Author manuscript; available in PMC: 2014 Jan 18.
Published in final edited form as: ACS Chem Biol. 2013 Jan 4;8(1):82–95. doi: 10.1021/cb300648v

Table 2.

Challenges for the discovery and use of topoisomerase inhibitors

Challenges Possible answers (new approaches)
1. New topoisomerase targets
  • Type IA (TopA and Top3) inhibitors

  • Top2β-specific inhibitors

2. New topoisomerase inhibitors (in addition to #1 above)
  • Chemically stable camptothecins

  • Non-camptothecin Top1 inhibitors

  • Top1 catalytic inhibitors

  • New Top2 inhibitors with novel structures

  • Orally bioavailable inhibitors

  • Targeted delivery (nanoparticles for time-staggered and tumor-specific delivery)

3. Pharmacodynamic (PD) biomarkers to rapidly evaluate tumor drug response
  • Top1 and Top2 cleavage complexes induction

  • Top1 and Top2 down-regulation

  • DNA damage (γ-H2AX)

  • Apoptotic response (caspase activation)

  • Additional PD biomarkers based on further elucidation of the molecular DNA repair pathways and DNA damage responses (DDR) downstream from topoisomerase poisoning in model systems

4. Cancer patient selection
  • Identification and implementation of predictive biomarkers and “drug response signatures” (based on OMIC tools: tumor gene expression and somatic mutations, proteomic and metabolomic) for patient stratification

  • New predictive biomarkers based on molecular biology and pharmacology studies in model systems

  • High tumor Top1 and Top2 levels

  • Pharmacogenomics tests (germline mutations affecting drug pharmacokinetics and metabolism)

5. Optimize drug combinations
  • Based on the further elucidation of the molecular DNA repair pathways and DNA damage responses (DDR) downstream from topoisomerase poisoning in model systems

  • Based on synthetic lethality related to tumor-specific defects (ERCC1-deficiency for combining Top1 and PARP inhibitors)

  • Based on system pharmacology in model systems to reveal the pathways (molecular networks) and novel genetic and molecular determinants that drive tumor response

  • Based on experimental data obtained in model systems

  • Based on non-overlapping drug toxicities and side effects (current approach)

  • Based on clinical trials (current empirical approach)