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Combined inhibition of atypical PKC and histone deacetylase 1 is cooperative in basal cell carcinoma treatment
Amar N. Mirza, Micah A. Fry, Nicole M. Urman, Scott X. Atwood, Jon Roffey, Gregory R. Ott, Bin Chen, Alex Lee, Alexander S. Brown, Sumaira Z. Aasi, Tyler Hollmig, Mark A. Ator, Bruce D. Dorsey, Bruce R. Ruggeri, Craig A. Zificsak, Marina Sirota, Jean Y. Tang, Atul Butte, Ervin Epstein, Kavita Y. Sarin, Anthony E. Oro
Amar N. Mirza, Micah A. Fry, Nicole M. Urman, Scott X. Atwood, Jon Roffey, Gregory R. Ott, Bin Chen, Alex Lee, Alexander S. Brown, Sumaira Z. Aasi, Tyler Hollmig, Mark A. Ator, Bruce D. Dorsey, Bruce R. Ruggeri, Craig A. Zificsak, Marina Sirota, Jean Y. Tang, Atul Butte, Ervin Epstein, Kavita Y. Sarin, Anthony E. Oro
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Research Article Dermatology Oncology

Combined inhibition of atypical PKC and histone deacetylase 1 is cooperative in basal cell carcinoma treatment

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Abstract

Advanced basal cell carcinomas (BCCs) circumvent Smoothened (SMO) inhibition by activating GLI transcription factors to sustain the high levels of Hedgehog (HH) signaling required for their survival. Unfortunately, there is a lack of efficacious therapies. We performed a gene expression–based drug repositioning screen in silico and identified the FDA-approved histone deacetylase (HDAC) inhibitor, vorinostat, as a top therapeutic candidate. We show that vorinostat only inhibits proliferation of BCC cells in vitro and BCC allografts in vivo at high dose, limiting its usefulness as a monotherapy. We leveraged this in silico approach to identify drug combinations that increase the therapeutic window of vorinostat and identified atypical PKC Ɩ/ʎ (aPKC) as a HDAC costimulator of HH signaling. We found that aPKC promotes GLI1-HDAC1 association in vitro, linking two positive feedback loops. Combination targeting of HDAC1 and aPKC robustly inhibited GLI1, lowering drug doses needed in vitro, in vivo, and ex vivo in patient-derived BCC explants. We identified a bioavailable and selective small-molecule aPKC inhibitor, bringing the pharmacological blockade of aPKC and HDAC1 into the realm of clinical possibility. Our findings provide a compelling rationale and candidate drugs for combined targeting of HDAC1 and aPKC in HH-dependent cancers.

Authors

Amar N. Mirza, Micah A. Fry, Nicole M. Urman, Scott X. Atwood, Jon Roffey, Gregory R. Ott, Bin Chen, Alex Lee, Alexander S. Brown, Sumaira Z. Aasi, Tyler Hollmig, Mark A. Ator, Bruce D. Dorsey, Bruce R. Ruggeri, Craig A. Zificsak, Marina Sirota, Jean Y. Tang, Atul Butte, Ervin Epstein, Kavita Y. Sarin, Anthony E. Oro

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Figure 1

HDAC inhibition suppresses BCC growth in vitro and in vivo.

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HDAC inhibition suppresses BCC growth in vitro and in vivo.
(A) Schemati...
(A) Schematic of generation of BCC expression signature, followed by drug-repositioning analysis using LINCS. (B) Heatmap of expression changes in landmark genes in advanced BCC and expression changes following drug treatment. Select perturbagens are depicted. (C) Ranked anticorrelation score (cmap score) of all assay perturbagens following LINCS analysis ranked by score. HH target gene transcript dose response to vorinostat and parthenolide (D) in ASZ cells with vorinostat IC50, represented by dotted line (n = 9; ANOVA), or across a panel of HDAC1/2 targeting inhibitors (blue) or HDAC3 (gray) over an acute time course (n = 9; ANOVA) (E). Gli1 transcript measured by qRT-PCR and normalized against HPRT1. Relative ASZ cell growth measured by Real-Time Glo Reagent following vorinostat (F) and parthenolide (G) treatment (n = 3 per time point; 2-way ANOVA; significance is only illustrated for t > 20 hours for clarity). (H) Tumor size measurements following vorinostat treatment of mouse BCCs and (I) Gli1 mRNA measured by qPCR (n = 6; 2-way ANOVA and Student’s t test, respectively). All control measurements are black, while HDAC inhibitor treatment measurements are shades of blue, varying in concentration, as indicated (F and G) or to differentiate inhibitors (D and E). (J) Log2 fold change of normalized read counts from RNA sequencing of murine BCC allografts treated with vorinostat (n = 2) or PSI (n = 1) as compared with untreated controls (n = 2). Error bars represent SEM. *P < 0.05, ***P < 0.001, ****P < 0.0001; P value calculation as in ref. 15.

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