Differential Kinase Activity Across Prostate Tumor Compartments Defines Sensitivity to Target Inhibition

Nezihi Murat Karabacak1,2, Yu Zheng3, Taronish D Dubash3

  • 1Center for Engineering in Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.

Cancer Research
|January 20, 2022
PubMed

Insights

Single-cell proteomics reveals how kinase signaling heterogeneity drives varied cancer drug responses. Understanding these differences in tumor cells and sites is key to improving targeted therapy effectiveness.

Area of Science:

  • Oncology
  • Molecular Biology
  • Proteomics

Background:

  • Cancer therapy responses vary significantly due to tumor heterogeneity.
  • Limited sensitivity of current methods hinders understanding of cell signaling within tumors.
  • Inter- and intratumor heterogeneity impacts therapeutic outcomes.

Purpose of the Study:

  • To investigate kinase activity evolution in different tumor compartments using single-cell mass cytometry.
  • To characterize the impact of microenvironment and cell state on drug sensitivity.
  • To define a new paradigm for understanding drug responses to kinase inhibitors.

Main Methods:

  • Applied single-cell mass cytometry with a 26-antibody panel.
  • Utilized PTEN-deleted orthotopic prostate cancer xenograft models.
  • Analyzed kinase activities in primary tumors, metastases, and circulating tumor cells (CTCs).

Main Results:

  • Bone metastases showed elevated PI3K/mTOR signaling and c-MET overexpression compared to other sites.
  • Suppression of c-MET inhibited bone tumor growth.
  • Epithelial (EpCAM-high) and mesenchymal (EpCAM-low) cell populations exhibited distinct kinase activities and drug sensitivities.
  • Mesenchymal CTCs in patients mirrored findings in xenograft models.

Conclusions:

  • Microenvironment and cell state-dependent kinase activation create significant heterogeneity in drug sensitivity.
  • Single-cell proteomics offers crucial insights into differential responses to targeted therapies.
  • This study defines a new framework for understanding cancer drug responses across diverse tumor populations and sites.

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