Exploiting Temporal Collateral Sensitivity in Tumor Clonal Evolution

Boyang Zhao1, Joseph C Sedlak2, Raja Srinivas3

  • 1Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; The David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Cell
|March 1, 2016
PubMed

Insights

Cancer treatment can exploit tumor vulnerabilities that emerge during drug resistance evolution. This study identifies "temporal collateral sensitivity" to new drugs in leukemia, extending survival in mice.

Area of Science:

  • Oncology
  • Cancer Evolution
  • Pharmacology

Background:

  • Current cancer therapy often treats drug resistance after relapse.
  • Tumor clonal evolution and associated fitness costs may create exploitable vulnerabilities.
  • This study introduces the concept of "temporal collateral sensitivity."

Purpose of the Study:

  • To investigate temporal collateral sensitivity in cancer drug resistance.
  • To explore vulnerabilities arising during the evolution of resistance to BCR-ABL1 inhibitors.
  • To identify novel therapeutic strategies targeting dynamic tumor vulnerabilities.

Main Methods:

  • Utilized a murine model of Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph(+) ALL).
  • Employed a combined pharmacological screen and drug resistance selection approach.
  • Integrated genotypic, phenotypic, signaling, and binding measurements with computational modeling.

Main Results:

  • Discovered temporal and persistent collateral sensitivity to non-classical BCR-ABL1 drugs in resistant Ph(+) ALL subpopulations.
  • Demonstrated significant overall survival extension in treated mice.
  • Identified the sensitization mechanisms through comprehensive analyses.

Conclusions:

  • Temporal collateral sensitivity represents a promising therapeutic vulnerability in evolving cancers.
  • Focusing on evolutionary trajectories and drug pharmacological profiles can reveal new treatment strategies.
  • This approach holds potential for treating dynamic tumor vulnerabilities in hematological malignancies.