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p16 expression confers sensitivity to CDK2 inhibitors in cyclin E1-driven ovarian cancers
Chance C Sine1,2, Lotte P Watts1, Brianna Fernandez1
1Department of Biochemistry and BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80303, USA.
Abstract:
Blocking the cell cycle is a promising avenue for cancer therapy, with cyclin-dependent kinase 2 (CDK2) emerging as a key target. However, in multiple cell types, the activities of CDK4 and CDK6 (CDK4/6) compensate for CDK2 inhibition and sustain tumor cell proliferation, enabling CDK2 reactivation. Thus, we hypothesized that sensitivity to CDK2 inhibition is linked to the absence of this CDK4/6-mediated compensatory mechanism. We found that cyclin E1-driven ovarian cancers often coexpressed the tumor suppressor p16, which inhibited CDK4/6 signaling. Single-cell time-lapse imaging showed that high abundance of p16 conferred increased sensitivity to CDK2 inhibitors, whereas depletion of p16 rendered cells more resistant to CDK2 inhibition through CDK4/6-dependent compensation. Concordantly, acquired resistance to CDK2 inhibitors correlated with reduced p16 and increased cyclin D1 protein abundance. Multiplexed immunofluorescence of 225 ovarian tumors from patients revealed that 18% of the tumors had high cyclin E1 and p16 expression. Thus, p16 may be a useful biomarker for identifying patients most likely to benefit from CDK2 inhibitors.
Insights
The tumor suppressor p16 inhibits compensatory CDK4/6 signaling, enhancing sensitivity to CDK2 inhibitors in ovarian cancers. High p16 expression may identify patients who benefit from CDK2-targeted therapies.
Area of Science:
- Oncology
- Molecular Biology
- Cell Cycle Regulation
Background:
- Targeting cyclin-dependent kinase 2 (CDK2) is a key strategy in cancer therapy.
- CDK4 and CDK6 (CDK4/6) can compensate for CDK2 inhibition, leading to tumor cell proliferation and resistance.
Purpose of the Study:
- To investigate the hypothesis that sensitivity to CDK2 inhibition is linked to the absence of CDK4/6-mediated compensatory mechanisms.
- To identify potential biomarkers for predicting response to CDK2 inhibitors.
Main Methods:
- Single-cell time-lapse imaging to assess cell sensitivity to CDK2 inhibitors.
- Analysis of p16 and cyclin D1 protein abundance in relation to CDK2 inhibitor resistance.
- Multiplexed immunofluorescence on patient-derived ovarian tumors.
Main Results:
- High p16 expression correlated with increased sensitivity to CDK2 inhibitors by inhibiting CDK4/6 signaling.
- Depletion of p16 led to resistance via CDK4/6-dependent compensation.
- Acquired resistance to CDK2 inhibitors was associated with reduced p16 and increased cyclin D1.
- 18% of ovarian tumors showed high cyclin E1 and p16 expression.
Conclusions:
- p16 acts as a crucial factor in determining sensitivity to CDK2 inhibitors by modulating CDK4/6 activity.
- p16 may serve as a predictive biomarker for identifying ovarian cancer patients who will benefit from CDK2 inhibitor therapy.
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