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Published in final edited form as: Endocr Relat Cancer. 2019 Jan 1;26(4):425–436. doi: 10.1530/ERC-19-0011

PI3K/mTOR inhibition potentiates and extends palbociclib activity in anaplastic thyroid cancer

Kristen Wong 1, Francesca Di Cristofano 1, Michela Ranieri 1, Daniela De Martino 1, Antonio Di Cristofano 1,1
PMCID: PMC6602869  NIHMSID: NIHMS1520851  PMID: 30699064

Abstract

Anaplastic thyroid carcinoma (ATC) is the most aggressive form of thyroid cancer. Despite its low incidence, it accounts for a disproportionate number of thyroid cancer-related deaths, because of its resistance to current therapeutic approaches. Novel actionable targets are urgently needed to prolong patient survival and increase their quality of life. Loss and mutation of the RB1 tumor suppressor are rare events in ATC, which suggests that therapies directed at inhibiting the cyclin D/CDK4 complexes, responsible for RB phosphorylation and inactivation, might be effective in this tumor type. In fact, we found that the CDK4/6 inhibitor, palbociclib, strongly inhibits proliferation in all the RB1 wild type ATC cell lines tested. Efficacy was also observed in vivo, in a xenograft model. However, ATC cells rapidly developed resistance to palbociclib. Resistance was associated with increased levels of cyclin D1 and D3. To counter cyclin D overexpression, we tested the effect of combining palbociclib with the PI3K/mTOR dual inhibitor, omipalisib. Combined treatment synergistically reduced cell proliferation, even in cell lines that do not carry PI3K-activating mutations. More importantly, low-dose combination was dramatically effective in inhibiting tumor growth in a xenograft model. Thus, combined PI3K/mTOR and CDK4/6 inhibition is a highly promising novel approach for the treatment of aggressive, therapy-resistant thyroid cancer.

Keywords: Thyroid cancer, CDK4, PI3K, mTOR, RB

INTRODUCTION

Anaplastic thyroid carcinoma (ATCs) is the most aggressive thyroid cancer subtype, with a median overall survival of less than 9 months when patients are treated with multimodal therapy, and less than 3 months with palliative care (Prasongsook et al., 2017). ATC usually presents at diagnosis with local invasion and distant metastasis (Smallridge, 2012, Patel and Shaha, 2006). Cytotoxic chemotherapy and radiation therapy are generally not very effective in prolonging survival of ATC patients (Sherman et al., 2011, Higashiyama et al., 2010, Ain et al., 2000). As such, ATC remains one of the most lethal tumors.

The recent approval of a combination therapy with the BRAF inhibitor dabrafenib and the MEK inhibitor trametinib for patients with unresectable or metastatic BRAFV600E–positive ATC (Saini et al., 2018) has generated enthusiasm in the field, but it is projected to benefit less than 50% of ATC patients, underlining the need for additional rationally designed approaches. The growing availability of targeted kinase inhibitors and immunomodulatory molecules, together with easier access to detailed tumor molecular characterization, have fostered the development and testing of combinatorial approaches that in several cases have shown promising results (Subbiah et al., 2018, Iyer et al., 2018b, Iyer et al., 2018a).

Dysregulation of cell cycle control is one of the main hallmarks of cancer. Upon mitogenic stimulation, in normal cells, transition from the G0/G1 phases of the cell cycle into the S phase is controlled by complexes formed by D-type cyclins and the CDK4 and CDK6 kinases, which phosphorylate and inactivate the RB tumor suppressor. In turn, RB inactivation releases the E2F transcription factors to promote entry into S phase (Sherr, 2000). Tumor cells bypass the G1 checkpoint through different mechanisms, including increased cyclin D expression, loss of CDK inhibitors, increased CDK4 and −6 expression, or RB1 inactivation (Sherr, 2000).

Inhibition of the CDK4/6 kinases has recently become an FDA-approved treatment for advanced ER+ breast cancer, underlining the power of therapeutic approaches directed at restoring proper cell cycle control (Walker et al., 2016). At the same time, it has become clear that CDK4/6 inhibitor therapy is rapidly countered by the development of resistance (O’leary et al., 2018).

The prime determinant of CDK4/6 inhibitors efficacy is the presence of functional RB in the tumor cells. Based on the notion that RB1 is not frequently mutated in ATC, we have explored the feasibility and efficacy of CDK4/6 inhibition in anaplastic thyroid cancer.

MATERIALS AND METHODS

Cell lines

All cell lines used in this study were maintained at 37°C with 5% CO2 in the culture media indicated in Table 1. Mouse cell lines were established from ATCs developed by genetically engineered mice (Dima et al., Antico Arciuch et al.). Cell line identity was validated by STS profiling as well as by amplifying and sequencing genomic fragments encompassing their known mutations.

Table 1.

Cell line Species of origin Mutations Culture Medium
T4888M Mouse Pten−/−/Tp53−/− DMEM
T3533 Mouse Pten−/−/Tp53−/− DMEM
T1860 Mouse Pten−/−/Tp53−/− DMEM
T1903 Mouse Pten−/−/Tp53−/− DMEM
A274 Mouse Pik3caH1047R/Tp53−/− DMEM
A275 Mouse Pik3caH1047R/Tp53−/− DMEM
T7152 Mouse Pten−/− DMEM
T7189 Mouse Pten−/− DMEM
THJ16T Human PIK3CAE545R/TP53−/−;1 RPMI
CAL62 Human KRASG12R/TP53A161D DMEM
C643 Human HRASG13R/TP53R248Q RPMI
OCUT2 Human PIK3CAH1047R/BRAFV600E RPMI
T238 Human PIK3CAE542K/BRAFV600E/TP53−/−;1 RPMI
8505c Human BRAFV600E/TP53R248G RPMI
SW1736 Human BRAFV600E/TP53Q192*;2 RPMI
THJ21T Human BRAFV600E/TP53−/−;1 RPMI
T243 Human PIK3CAE545A/BRAFV600E RPMI
T235 Human BRAFV600E/TP53−/−;1 RPMI
HTH104 Human BRAFV600E/TP53−/−;1 RPMI
ACT1 Human NRASQ61R/TP53−/−;1 DMEM
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1

TP53 mutant or deleted, however no further details are available in published literature.

2

TP53 transcriptionally silenced

Drug treatments and cell proliferation assay

The CDK4/6 inhibitor palbociclib was provided by Pfizer and prepared in 50mM lactate. The PI3K/mTOR inhibitor, omipalisib, and the MEK inhibitor, trametinib, were purchased from Selleck Chemicals and dissolved in DMSO. For drug sensitivity experiments all the inhibitors were added 12 hours after plating cells in 12-well plates. Three days after treatment, cells were trypsinized and counted using a Z2 Coulter particle counter (Beckman). Statistical analysis and EC50 value calculation were obtained using GraphPad Prism (GraphPad Software).

For long-term proliferation, 5 × 104 cells were plated in presence of DMSO or palbociclib (EC90). Every 3 days, cells were harvested, counted, and 5 × 104 cells were reseeded.

Statistical analysis of drug synergy was done using the Chou-Talalay method (Chou and Talalay, 1984) and the Calcusyn Software (Biosoft). To determine synergy between two drugs, the software uses a median-effect method that determines if the drug combination produces greater effects together than expected from the summation of their individual effects. The combination index (CI) values are calculated for the different dose-effect plots (for each of the serial dilutions) based on the parameters derived from the median-effect plots of the individual drugs or drug combinations at the fixed ratios. The CI was calculated based on the assumption of mutually nonexclusive drug interactions. CI values significantly > 1 are antagonistic, not significantly different than 1 are additive, and values < 1 are synergistic.

Western blot analysis

Cells were homogenized on ice in radioimmunoprecipitation assay (RIPA) buffer supplemented with Halt Protease and Phosphatase Inhibitor cocktail (ThermoFisher Scientific) and centrifuged to remove debris. Protein concentration was determined using the Pierce BCA protein Kit (ThermoFisher Scientific). Western blot analysis was conducted using 50 μg of proteins on ExpressPlus precast gels (Genescript). Proteins were blotted onto polyvinylidene difluoride membranes (Millipore). The membranes were probed with the indicated antibodies (RB #9313, pRB #3590, cyclin D1 #2978, ciclin D3 #2936, cyclin E1 #20808, pAKT #4060, AKT #4685, Actin #3700, Tubulin #2146, all from Cell Signaling). All the primary antibodies were used at a dilution of 1:1000 in 5% BSA in TBS-T. Signals were detected with HRP-conjugated secondary antibodies (ThermoFisher Scientific) and the chemiluminescence substrate Luminata Crescendo (EMD Millipore).

RNA extraction and Real-time PCR

Total RNA was extracted with TRIzol reagent (Invitrogen) according to the manufacturer’s protocol. RNA yields were assessed using a NanoDrop 1000 (ThermoFisher Scientific). 1 μg of RNA was reverse transcribed using the Maxima first strand cDNA synthesis kit (ThermoFisher Scientific) according to the manufacturer’s instructions. Quantitative real-time PCR (qRT-PCR) was conducted on a StepOne Plus apparatus using the Absolute Blue qPCR Rox Mix (ThermoFisher Scientific) following the manufacturer’s instructions. Each sample was run in triplicate and Akt2 and Actin were used to normalize the input RNA for mouse and human lines, respectively. Relative quantities were calculated using the 2(-ΔΔCt) method. Primer sequences are available upon request.

Cell cycle analysis

For cell cycle analysis, cell lines were treated with DMSO (control), palbociclib (EC75) and omipalisib (EC75) for 72h. Cells were harvested by trypsin treatment and fixed in 75% ethanol in ice for 30 min. After treatment with RNase (Genentech/Roche) for 5 min at room temperature, cells were stained with propidium iodide (BioSure) overnight, and DNA content was measured using a BD FACSCantoTM II system (BD Biosciences).

Apoptosis analysis

Cells were treated with DMSO (control), palbociclib (EC75) and omipalisib (EC75) for 72 hours. At the end of treatment, cells were harvested by trypsinization. The supernatant was also collected. Cells were stained with Annexin V FITC and propidium iodide (BD Biosciences) for 15 minutes at room temperature in the dark. Samples were analyzed by flow cytometry within 1 hour using a BD FACSCanto™ II system (BD Biosciences). Flow cytometry analysis was performed on the FloJo platform.

Colony formation assay

For washout experiments, THJ16T cells were treated for 72 with palbociclib (EC50) and omipalisib (EC50), alone or in combination. After pre-treatment, live cells were counted, seeded at 400 cells/well, and cultured under routine conditions for 10 days. Medium was replaced as needed.

For continuous exposure experiments, 400 cells per well were seeded. 12 hours after seeding, cells were treated as above. Medium and drugs were replaced every 3 days. Colonies were fixed with 0.1%methanol and stained with 0.05%crystal violet (Sigma-Aldrich).

In vivo experiments

6–8 week-old NOD-scid IL2rγnull (NSG) mice, from the Einstein Shared Facility in Stem Cell Research, were injected subcutaneously with 5×106 THJ16T cells. Equal number of males and females were used. When tumors reached a size of 100 mm3, mice were randomized to control, palbociclib, omipalisib, and combination treatment groups. Palbociclib was dissolved in 50mM Na lactate, pH4.0. Omipalisib was dissolved in 40% PEG300/16% 2-hydroxypropyl-β-cyclodextrin. Both compounds were administered via oral gavage at 0.3mg/Kg/day and 30mg/Kg/day, respectively. Palbociclib as single agent (first experiment) was used at 50 mg/Kg/day. Tumor volume was calculated from two-dimensional measurements using the equation: tumor volume = (length × width2) × 0.5, every two days. Tumor weight was measured at the end of the experiment. Data were plotted and analyzed using GraphPad Prism. Growth rate was statistically analyzed comparing the growth rate of treated and control tumors as described by Hather et al. (Hather et al., 2014).

All the animal studies were approved by the Einstein Institutional Animal Care and Use Committee.

Immunohistochemistry

Tissues were paraffin embedded and sectioned at 5μm. To assess the proliferation status of the tumor cells, Ki67 staining was performed (Yeager et al., 2008). Immunostaining of apoptotic cells was carried out using the TUNEL assay (Yeager et al., 2008).

RESULTS

CDK4/6 inhibition reduces ATC cell proliferation

Combined analysis of published datasets from large-scale exome sequencing of ATC samples (Pozdeyev et al., 2018, Kunstman et al., 2015, Landa et al., 2016) reveals that the tumor suppressor gene RB1 is mutated with an overall frequency lower than 6% (Fig. 1A). Accordingly, western blot analysis of several ATC cell lines showed detectable RB expression in all samples, except in T243 cells (Fig. 1B).

Figure 1. Palbociclib activity in ATC cell lines.

Figure 1.

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A, prevalence of RB1 mutations in human ATC. B, Western blot analysis of RB expression in human ATC cell lines. Nthy-ori (non-tumor, immortalized) and FTC133 (follicular thyroid carcinoma) are shown as controls. C, effect of 1 hour treatment with 100nM Palbociclib on RB phosphorylation in two representative ATC cell lines. D,E dose/response analysis of palbociclib effect on the proliferation of human (D) and mouse (E) ATC cell lines.

Thus, we hypothesized that this low mutation frequency might open a previously underappreciated therapeutic opportunity for ATC patients. In fact, we found that, although expressed, RB is phosphorylated and inactivated in all ATC cell lines, and that exposure to the CDK4/6 inhibitor, palbociclib (Fry et al., 2004), results in rapid dephosphorylation of RB (Fig. 1C).

We then proceeded to test the effect of CDK4/6 inhibition on the proliferation of a large panel of human and mouse ATC cell lines encompassing the whole spectrum of mutations observed in ATC patients (Table 1). Notably, preliminary experiments revealed that palbociclib treatment is not compatible with metabolic activity assays such as alamar blue, as it leads to a significant underestimation of palbociclib cell growth inhibitory activity. For this reason, we utilized direct cell counting after 72 hours of treatment. Our data clearly show that palbociclib potently inhibits the proliferation of both human and mouse ATC cells (Fig. 1E, Suppl. Fig. 1).

The EC50 for palbociclib is between 20 and 90nM for human cell lines carrying activating mutations in BRAF and/or PIK3CA, and between 140 and 340nM for cell lines with RAS activating mutations. T243, which does not express RB, is completely insensitive even to micromolar doses of palbociclib, suggesting that RB expression is essential for activity of this compound (Fig.2A). Mouse cell lines were slightly less sensitive, with EC50s between 130 and 620nM.

Figure 2. Palbociclib activity in ATC cell lines.

Figure 2.

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A, calculated EC50 for the human and mouse ATC cell lines analyzed. B, correlation between mRNA expression of CDK4 and sensitivity to palbociclib in human ATC cell lines. C, cell cycle distribution of two human ATC cell lines after 72 hours treatment with 120nM (EC75) palbociclib. D, apoptotic profile of THJ16T cell treated for 72 and 96 hours with 120nM (EC75) palbociclib. PI: propidium iodide; AV: annexin V.

We profiled the mRNA expression of RB1, CDK4, CDK6, and CDKN2A, which have been shown to determine the sensitivity to CDK4/6 inhibitors (Suppl. Fig. 2A), and correlated the expression levels of these genes with the EC50 of each human cell line. p16/CDKN2A was undetectable in the majority of ATC cell lines, with the exception of T238 and T243. While no significant correlation was found between expression of CDK6 (or RB1) and cell lines’ sensitivity to palbociclib (Suppl. Fig. 2B,C), we found a significant inverse correlation (P=0.02) between CDK4 expression and ATC sensitivity to palbociclib (Fig. 2B).

Flow cytometry analysis in two cell lines carrying PIK3CA-activating mutations showed that CDK4/6 inhibition leads to cell cycle arrest in G1 (Fig. 2C), while no significant induction of apoptosis was observed up to 96 hours after treatment (Fig. 2D).

Thus, palbociclib effectively induces growth arrest in ATC cells, and the identity of the driver genetic alteration has a limited effect on sensitivity to the drug.

Rapid induction of resistance to CDK4/6 inhibition

Based on these cell culture data, we used a xenograft model of ATC to test the effect of palbociclib treatment in vivo. THJ16T human ATC cells were implanted in NSG mice, and tumor-carrying mice were treated with vehicle or 50mg/kg palbociclib for up to four weeks. Treatment with the inhibitor drastically reduced tumor growth for the first two weeks, after which a trend towards increased proliferation became evident (Fig. 3A). The same effect was also observed in cell culture. When THJ16T cells were treated with palbociclib at EC90, proliferation was abolished upon acute treatment, as expected. However, sequential counting and replating of these cells, maintaining the same drug concentration, revealed that cell proliferation resumed after a few days, and steadily increased over the next two weeks (Fig. 3B).

Figure 3. In vivo efficacy of palbociclib.

Figure 3.

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A, NSG mice carrying THJ16T xenografts were treated with vehicle or 50mg/Kg/day palbociclib. B, Long term analysis of THJ16T proliferation treated continuously with 250nM (EC90) palbociclib. C, Western blot analysis of the expression of the indicated proteins in THJ16T and OCUT2 cells treated for 72 hours with 120nM (EC75) palbociclib.

To understand the molecular basis for the reduced sensitivity to palbociclib treatment, we focused on cyclin D and cyclin E, whose up-regulation has been previously associated with resistance to palbociclib.

Western blot analysis on cells treated for 72 hours with palbociclib at EC75 revealed a significant increase in cyclin D1 and cyclin D3protein levels upon treatment with palbociclib for 72 hours (Fig. 3C), which suggests that D-type cyclins up-regulation might be associated with the development of resistance to CDK4/6 inhibitors.

PI3K/mTOR inhibition synergizes with palbociclib

The notion that the PI3K pathway, and mTOR activity in particular, are involved in the control of cyclin D expression (Averous et al., 2007, Garcia-Morales et al., 2006) prompted us to test the effect of combining a dual PI3K/mTOR inhibitor, omipalisib (Knight et al., 2010), with palbociclib.

Dose-response experiments were conducted on a subset of mouse and human ATC cell lines, carrying mutations in the four most common oncogenic drivers found in ATC: PIK3CA, PIK3CA+BRAF, BRAF, RAS.

Combination of the two drugs exerted a potent growth suppressive effect in every cell line tested, even those not carrying mutations that directly activate the PI3K/mTOR signaling cascade (Fig. 4A). The combination index calculated at EC75 and EC90 indicated that the combination was synergistic (three cell lines) or even strongly synergistic (three cell lines) (Fig. 4B).

Figure 4. Synergy between palbociclib and omipalisib.

Figure 4.

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A, dose/response plots showing the effect of single and combined treatment of ATC cells with palbociclib and omipalisib. B, plot of the combination index at EC75 and EC90 for ATC cell lines treated with palbociclib + omipalisib or trametinib. C, cell cycle distribution of THJ16T after 72 hours treatment with 120nM (EC75) palbociclib and/or 55nM (EC75) omipalisib. D, apoptotic profile of THJ16T cell treated for 72 hours with 120nM (EC75) palbociclib and/or 55nM (EC75) omipalisib. E, colony forming assay of THJ16T cells treated with 80nM (EC50) palbociclib and/or 8nM (EC50) omipalisib. F, Western blot analysis of the expression of the indicated proteins in THJ16T cells treated for 72 hours with 120nM (EC75) palbociclib and/or 55nM (EC75) omipalisib.

We next tested the effect of combining palbociclib with a MEK inhibitor in those cell lines, among the ones tested above, that carry driver mutations (RAS, BRAF) activating MAPK signaling. The rationale was that also MAPK signaling can increase the expression level of cyclin D1 (Klein and Assoian, 2008). While MEK inhibition could still cooperate with CDK4/6 inhibition (Suppl. Fig. 3), the extent of synergy, as measured by the combination index, was drastically lower than that obtained with PI3K/mTOR inhibition (Fig. 4B). Thus, even in cells that are driven by MAPK activation, PI3K/mTOR inhibition is superior in cooperating with CDK4/6 inhibition.

Flow cytometry experiments showed that cell cycle arrest was induced more potently in cells treated with combined palbociclib and omipalisib than in cells treated with each of the compounds alone (Fig. 4C). Once again, we did not detect apoptosis in cells treated with these compounds, alone or in combination (Fig. 4D), indicating that the growth suppressive effect is essentially mediated by cell cycle arrest in G0/G1.

To evaluate the long-term effect of combining the two inhibitors, we performed colony forming assays using two different protocols. We first treated THJ16T cells with vehicle, palbociclib, omipalisib, or a combination of the two drugs at their EC50 for three days, then cells were counted and replated at low density for 10 days in medium devoid of drugs. The results clearly show that the growth suppressive effect exerted by these compounds is fully reversible, since drug washout restores normal proliferation rates, as indicated by the development of the same number of colonies, having the same size in all groups (Fig. 4E, top).

In a second approach, cells were directly plated at low density and maintained in the presence of compound(s) for the entire duration of the experiment. While palbociclib- and omipalisib-treated cells formed colonies with efficiency similar or slightly reduced compared to DMSO-treated cells, respectively, the combined treatment virtually abolished colony formation (Fig. 4E, bottom), indicating that inhibition of PI3K/mTOR drastically impairs the development of resistance to palbociclib.

Surprisingly, we found that the combined treatment did not reduce cyclin D1 protein levels. However, the increase in cyclin D3 observed upon palbociclib treatment was completely abolished by the addition of omipalisib (Fig.4F). These data strongly suggest that the synergy observed combining CDK4/6 and PI3K/mTOR inhibitors is, at least in part, associated with the control of cyclin D3 levels.

Combined therapy at low doses prevents tumor growth in vivo

The strong synergy observed in cell culture models prompted us to test in vivo the effectiveness of combined CDK4/6 and PI3K/mTOR inhibition. We used again the THJ16T xenograft model in NSG mice. Preliminary experiments using 50mg/Kg palbociclib (same dose used in the previous experiment), combined with 1mg/Kg omipalisib (Knight et al., 2010) led however to toxic lethality. Based on the compelling synergy data, we reasoned that we could reduce the dosage to tolerable levels without losing tumor control effectiveness.

We found that NSG mice could tolerate a dose of 35mg/Kg of palbociclib combined with 0.3mg/Kg omipalisib without apparent toxic effects (Suppl. Fig. 4). We then treated cohorts of tumor-carrying mice with single drugs and combination for four weeks.

These lower doses of palbociclib and omipalisib were still able to significantly reduce tumor growth, compared to vehicle-treated control mice. Strikingly, we found that the combined treatment completely stopped tumor growth, demonstrating that the synergy observed in vitro was also maintained in an in vivo setting (Fig. 5A).

Figure 5. In vivo efficacy of combined palbociclib and omipalisib treatment.

Figure 5.

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A, NSG mice carrying THJ16T xenografts were treated with vehicle, 50mg/Kg/day palbociclib, 0.3mg/Kg/day omipalisib, or combination. B, mice carrying THJ16T xenografts were treated with combined drugs as in (A) starting when tumors had reached 500mm3. C, immunohistochemical detection of Ki67 in sections from tumors treated as indicated. D, TUNEL assay on sections from tumors treated as indicated. Bar: 100μm.

The in vivo effect of growth-inhibitory drugs can be misleading, since treatments are usually started when tumors are relatively small. ATC patients, instead, typically present with a rapid growing mass that has already invaded the nearby anatomical structures. To mimic this scenario, we let tumors grow until they reached a volume of about 500 mm3, and then started treatment.

Strikingly, we observed complete tumor growth inhibition for up to three weeks of follow-up (Fig. 5B). These data strongly suggest that combined CDK4/6 and PI3K/mTOR inhibition effectively inhibits the growth of even well-established tumors.

Finally, we used immunohistological detection of Ki67 to detect proliferating cells and TUNEL staining to detect apoptotic cells in sections of tumors from the four cohorts. In line with the cell culture data, we observed a dramatic suppression of cell proliferation in tumors treated with the drug combination, compared to both vehicle-treated and single drug-treated tumors (Fig. 5C). On the other hand, TUNEL staining did not detect any increase in the number of apoptotic cells in any of the treatment groups (Fig. 5D). Thus, also in vivo, robust inhibition of cell proliferation is the major mechanism of action of combined CDK4/6 and PI3K/mTOR inhibition.

DISCUSSION

Therapeutic options for ATC are still extremely limited, despite recent durable response observed in over 60% of BRAF-mutant patients treated with a combination of dabrafenib and trametinib (Subbiah et al., 2018). The dismal prognosis associated with a diagnosis of ATC, including a median overall survival of only 9 months in the face of multimodal therapy (Prasongsook et al., 2017), underlines the urgent need for additional actionable targets that can offer prolonged survival to patients.

A characteristic feature of ATC, highlighted by recent large-scale analysis of the ATC genome, is the low mutation rate of the RB1 tumor suppressor gene (Pozdeyev et al., 2018). This notion represented the rationale for our study, aimed at investigating the efficacy of palbociclib, a CDK4/6 inhibitor recently approved by the FDA for ER+ breast cancer (Walker et al., 2016), as a novel and effective therapeutic option for ATC.

Our cell culture data clearly demonstrate that CDK4/6 inhibition is very effective as a monotherapy in promoting cell cycle arrest, with EC50s in the low to mid nanomolar range, in every ATC cell line that has a wild type RB1 allele. Furthermore, palbociclib shows excellent tumor inhibiting activity in a xenograft model of ATC. While one previous report had already analyzed the efficacy of a different CDK4/6 inhibitor, ribociclib, in two BRAF-mutant ATC cell lines (Lee et al., 2018), our study extends this analysis to a much larger panel of ATC lines, representative of all the common driver mutations found in human patients. Importantly, we did not find any difference in response to palbociclib between cells carrying activating mutations in BRAF or PIK3CA, while RAS mutant lines were somewhat less sensitive, which correlated with their higher expression levels of CDK4. In fact, CDK4 expression (but not that of CDK6 or RB1) was found to be inversely correlated to cells’ sensitivity to palbociclib.

A key finding of our study was the rapid development of resistance to palbociclib in ATC cells. Cells grown in the presence of palbociclib resumed progressively faster proliferation within a week from treatment start, and xenograft tumors became significantly less responsive to palbociclib after two weeks of treatment. This pattern of resistance has been previously observed in practically all models analyzed (Pandey et al., 2018), and has been found associated most commonly with RB loss or mutation, cyclin D up-regulation, and cyclin E up-regulation (Herrera-Abreu et al., 2016, Jansen et al., 2017, Condorelli et al., 2018, Guarducci et al., 2018). Indeed, we found that cyclin D1 and D3, the main D-type cyclins in the thyroid, were overexpressed in cells treated with palbociclib. Given the established role of PI3K and mTOR in controlling cyclin D expression (Gupta et al., 2009), and previous reports showing the beneficial effects of PI3K or mTOR inhibition in preventing resistance to palbociclib (Herrera-Abreu et al., 2016, Asby et al., 2018, Chen et al., 2019), we decided to use a dual PI3K/mTOR inhibitor, omipalisib, in combination with palbociclib.

Our cell culture and in vivo data strongly support the role of PI3K/mTOR inhibition in potentiating the growth suppressive activity of palbociclib and in preventing the development of resistance. Two points merit particular attention: i) this combination was effective even in cells without mutations activating PI3K, indicating that it could have broad clinical application; ii) although a significant reduction of the commonly used doses (30% for palbociclib, 70% for omipalisib) was operated to avoid toxicity, the combination therapy was extremely effective in preventing growth not only of developing tumors, but also of larger, well-established lesions.

Although clinical development of omipalisib was halted because of suboptimal efficacy after we had started our experiments, these data represent a solid rationale to test novel dual inhibitors currently undergoing clinical trials. In addition, future studies will need to assess the relative efficacy of selective PI3K vs. mTOR inhibition in combination with palbociclib in ATC.

Several reports have described the development of senescence upon CDK4/6 inhibition (Chen and Pan, 2017, Vijayaraghavan et al., 2017). While this would be a desirable endpoint for palbociclib-based therapies, our data strongly suggest that continuous drug exposure is instead essential for the activity of this compound in ATC cells.

Another interesting result of our study is the specific down-regulation of cyclin D3, but not cyclin D1, in the cells treated with the combination of CDK4/6 and PI3K/mTOR inhibitors. The role of cyclin D3 in thyroid epithelial cell proliferation has already been established (Paternot et al., 2006, Motti et al., 2003), supporting the hypothesis that cyclin D3 is the key D-type cyclin that is involved in resistance to palbociclib in thyroid cancer. The unexpected upregulation of cyclin D1 upon PI3K/mTOR inhibition might be the effect of relief of a feedback and will need to be addressed in future studies.

Recent studies have provided evidence that, in addition to having a direct effect on the tumor, CDK4/6 inhibitors may influence cells in the tumor immune microenvironment, and specifically the infiltration of NK cells and the activation of T cells (Teh and Aplin, 2018, Teo et al., 2017). Future studies using our immunocompetent syngeneic models of ATC (Champa and Di Cristofano, 2015, Antico Arciuch et al., 2011) will address the relevance of this mechanism in ATC.

In summary, our findings suggest that combined CDK4/6 and PI3K/mTOR inhibition is synergistic in vitro and in vivo against a wide range of ATC cell lines and in a relevant preclinical xenograft model, and that it represents a novel approach for a lethal disease that warrants prompt evaluation in the clinical setting.

Supplementary Material

01

Suppl. Fig. 1. Dose/response analysis of palbociclib effect on the proliferation of ATC cell lines.

02

Suppl. Fig. 2. A, qPCR analysis of RB1, CDK4, CDK6 and p16/CDKN2A in human ATC cell lines. B, C, correlation between mRNA expression of RB1 (B) and CDK6 (C) and sensitivity to palbociclib in ATC cell lines.

03

Suppl. Fig. 3. dose/response plots showing the effect of single and combined treatment of ATC cells with palbociclib and trametinib.

04

Suppl. Fig. 4. Changes in average body weight for mice treated with vehicle, 50mg/Kg/day palbociclib, 0.3mg/Kg/day omipalisib, or combination

ACKNOWLEDGEMENTS

We are grateful to Pfizer for supplying palbociclib. We acknowledge the Animal Housing, Histopathology, and Flow Cytometry Core Facilities of Albert Einstein College of Medicine, which are partially supported by the NIH Cancer Center Support Grant to the Albert Einstein Cancer Center (P30CA013330). Research reported in this publication was supported by NIH grants CA172012 and CA128943 to A. Di Cristofano.

Footnotes

DECLARATION OF INTEREST

The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

01

Suppl. Fig. 1. Dose/response analysis of palbociclib effect on the proliferation of ATC cell lines.

NIHMS1520851-supplement-01.pdf (402.4KB, pdf)
02

Suppl. Fig. 2. A, qPCR analysis of RB1, CDK4, CDK6 and p16/CDKN2A in human ATC cell lines. B, C, correlation between mRNA expression of RB1 (B) and CDK6 (C) and sensitivity to palbociclib in ATC cell lines.

NIHMS1520851-supplement-02.pdf (260.4KB, pdf)
03

Suppl. Fig. 3. dose/response plots showing the effect of single and combined treatment of ATC cells with palbociclib and trametinib.

NIHMS1520851-supplement-03.pdf (245.7KB, pdf)
04

Suppl. Fig. 4. Changes in average body weight for mice treated with vehicle, 50mg/Kg/day palbociclib, 0.3mg/Kg/day omipalisib, or combination

NIHMS1520851-supplement-04.pdf (88.2KB, pdf)

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