Analysis of cellular models of clonal evolution reveals co-evolution of imatinib and HSP90 inhibitor resistances

Rajender Goud Arolla1, Shweta Malladi2, Utsa Bhaduri3

  • 1Molecular Biology Laboratory, CPMB, Osmania University, Hyderabad, 500007, India.

Insights

Secondary drug resistance in chronic myeloid leukemia evolves through clonal evolution. New cellular models show dual resistance to imatinib and HSP90 inhibitors, but sensitivity to sorafenib and vorinostat offers treatment hope.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Clonal evolution drives treatment relapse and poor prognosis in advanced chronic myeloid leukemia (CML).
  • Secondary drug resistance mechanisms remain poorly understood due to a lack of adequate preclinical models.
  • Overcoming acquired resistance is a critical unmet need in CML therapy.

Purpose of the Study:

  • To develop cellular models for investigating clonal evolution mechanisms in CML.
  • To identify strategies for overcoming secondary drug resistance.
  • To evaluate potential therapeutic agents for relapsed CML.

Main Methods:

  • Generation and analysis of drug-resistant cell lines from cell-based screens.
  • Molecular and biochemical characterization including cytogenetics, signaling pathway analysis, and gene expression.
  • Assessment of sensitivity to various therapeutic agents.

Main Results:

  • Co-evolution of resistance to imatinib and HSP90 inhibitors (HSP90i) was observed, even with single-agent exposure.
  • Resistant cell lines exhibited additional cytogenetic abnormalities and altered gene expression (ABL kinase, HSP90).
  • Dual-resistant cell lines remained sensitive to sorafenib and vorinostat.

Conclusions:

  • HSP90 inhibitors can overcome resistance from point mutations but not from clonal evolution.
  • Sorafenib and vorinostat show promise for treating CML patients relapsing due to clonal evolution.
  • Drug resistance co-evolution appears to be a pan-cancer phenomenon, observed in solid tumors as well.

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