New HSP27 inhibitors efficiently suppress drug resistance development in cancer cells

Jörg C Heinrich1, Sainitin Donakonda1, V Joachim Haupt1

  • 1Biotechnology Center, Technische Universität Dresden, 01307 Dresden, Germany.

Oncotarget
|September 15, 2016
PubMed

Insights

Researchers identified six novel compounds that inhibit heat shock protein 27 (HSP27), a key factor in cancer drug resistance. These compounds successfully blocked resistance development in cellular assays, offering new therapeutic strategies.

Area of Science:

  • Oncology
  • Pharmacology
  • Computational Biology

Background:

  • Drug resistance remains a significant challenge in cancer therapy.
  • Heat shock protein 27 (HSP27/HSPB1) is implicated in promoting cancer cell survival and resistance to chemotherapy.
  • HSP27 overexpression affects apoptosis, DNA repair, and metastasis, contributing to treatment failure.

Purpose of the Study:

  • To identify novel inhibitors of HSP27 using a computational drug repositioning strategy.
  • To validate the efficacy of identified compounds in inhibiting HSP27 activity and overcoming drug resistance.

Main Methods:

  • A computational approach leveraging structural similarity between HSP27 binding sites and viral thymidine kinase was employed.
  • Lead compounds were generated based on this predicted similarity.
  • Experimental validation included assessing compound binding to HSP27, inhibition of chaperone activity, and efficacy in cellular drug resistance assays.

Main Results:

  • Six lead compounds targeting HSP27 were identified and experimentally validated.
  • These compounds demonstrated binding to HSP27 and successfully down-regulated its chaperone activity.
  • All six compounds effectively inhibited the development of drug resistance in cellular models.
  • Chlorpromazine, an existing antipsychotic, was among the identified leads and showed a positive impact on breast cancer survival in human studies.

Conclusions:

  • Novel HSP27 inhibitors were discovered through a computational drug repositioning approach.
  • These inhibitors show promise in combating cancer drug resistance.
  • The study highlights the potential of computational drug repositioning for identifying new therapeutic agents.

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