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Targeting CDK4 overcomes EMT-mediated tumor heterogeneity and therapeutic resistance in KRAS-mutant lung cancer
Aparna Padhye, Jessica M. Konen, B. Leticia Rodriguez, Jared J. Fradette, Joshua K. Ochieng, Lixia Diao, Jing Wang, Wei Lu, Luisa S. Solis, Harsh Batra, Maria G. Raso, Michael D. Peoples, Rosalba Minelli, Alessandro Carugo, Christopher A. Bristow, Don L. Gibbons
Aparna Padhye, Jessica M. Konen, B. Leticia Rodriguez, Jared J. Fradette, Joshua K. Ochieng, Lixia Diao, Jing Wang, Wei Lu, Luisa S. Solis, Harsh Batra, Maria G. Raso, Michael D. Peoples, Rosalba Minelli, Alessandro Carugo, Christopher A. Bristow, Don L. Gibbons
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Research Article Oncology

Targeting CDK4 overcomes EMT-mediated tumor heterogeneity and therapeutic resistance in KRAS-mutant lung cancer

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Abstract

Lack of sustained response to therapeutic agents in patients with KRAS-mutant lung cancer poses a major challenge and arises partly due to intratumor heterogeneity that defines phenotypically distinct tumor subpopulations. To attain better therapeutic outcomes, it is important to understand the differential therapeutic sensitivities of tumor cell subsets. Epithelial-mesenchymal transition is a biological phenomenon that can alter the state of cells along a phenotypic spectrum and cause transcriptional rewiring to produce distinct tumor cell subpopulations. We utilized functional shRNA screens, in in vitro and in vivo models, to identify and validate an increased dependence of mesenchymal tumor cells on cyclin-dependent kinase 4 (CDK4) for survival, as well as a mechanism of resistance to MEK inhibitors. High zinc finger E-box binding homeobox 1 levels in mesenchymal tumor cells repressed p21, leading to perturbed CDK4 pathway activity. Increased dependence on CDK4 rendered mesenchymal cancer cells particularly vulnerable to selective CDK4 inhibitors. Coadministration of CDK4 and MEK inhibitors in heterogeneous tumors effectively targeted different tumor subpopulations, subverting the resistance to either single-agent treatment.

Authors

Aparna Padhye, Jessica M. Konen, B. Leticia Rodriguez, Jared J. Fradette, Joshua K. Ochieng, Lixia Diao, Jing Wang, Wei Lu, Luisa S. Solis, Harsh Batra, Maria G. Raso, Michael D. Peoples, Rosalba Minelli, Alessandro Carugo, Christopher A. Bristow, Don L. Gibbons

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Figure 2

The CDK4 pathway is dynamically regulated by the EMT status of tumor cells.

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The CDK4 pathway is dynamically regulated by the EMT status of tumor cel...
(A) Representative images of immunofluorescence on 393P and 344SQ cells for indicated markers. Scale bar: 50 μm. (B) Quantification of the fluorescent signal in 4–6 biological replicates. Data are represented as mean ± SD. One-way ANOVA was used for statistical analysis. (C) Dot plots of Cyclin D1 and RB phosphorylation (S807/811) from RPPA data set in a panel of epithelial and mesenchymal murine lung cancer cell lines. The box plots depict the minimum and maximum values (whiskers), the upper and lower quartiles, and the median. The length of the box represents the interquartile range. (D and E) Western blot analysis of CDK4 pathway in human and murine cells with ZEB1 or miR-200 overexpression. Cells were induced with 2 μg/mL of doxycycline for times indicated. (F) IHC on tumors derived from 393P, 344SQ, and 393P_AZDR tumors for indicated markers. Scale bar: 50 μm. (G) In vitro cell viability assay on 393P, 344SQ, 393P_vehicle, and 393P_AZDR after 48 hours of AZD6244 and palbociclib treatment. n = 8 per drug concentration. The curve was generated using a nonlinear regression fit model. Vertical error bars shown. ****P < 0.0001; ***P < 0.005; **P < 0.001, 2-tailed Student’s t test.

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