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804 Novel AI-derived approach to identify lomitapide as an anticancer agent inducing autophagic cell death in colorectal cancer
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  1. Seung Ju Park,
  2. Seulgi Lee and
  3. Boah Lee
  1. ERSTEQ Co., Ltd., Daejeon, Republic of Korea

Abstract

Background Identifying therapeutic approaches to treat cancer is laborious, expensive, and often inefficient. Drug repurposing or repositioning in oncology refers to the application of drugs, which are already approved for other medical applications, in treating cancer.1 Moreover, in order to enhance therapeutic benefits, repurposed drugs are often combined with frequent administrations of low-dose chemotherapy/immunotherapy. Recent advancements in artificial intelligence (AI) technology have led to the development of in silico drug discovery approaches. Therefore, therapeutic discovery through a drug repurposing strategy aided by these technological advancements can potentially accelerate studies into clinical trials more rapidly compared to that using newly developed drugs.

Methods In this study, we employed an AI driven structure-based model (ERSTE-Explorer) to identify an mTOR inhibitor candidate. Using in vitro biochemical and cellular experiments as well as transcriptome sequencing analyses, we identified lomitapide, an inhibitor of hepatic microsomal triglyceride transfer protein (MTTP) approved for the homozygous familial hypercholesterolemia (HoFH) is an mTOR inhibitor.2 To validate anticancer effect of lomitapide in vivo, we used tumor xenograft model and patient-derived colorectal cancer organoids for clinical relavance. Furthermore, potential synergistic effects were confirmed by combining of lomitapide and immune checkpoint blocking antibodies to inhibit tumor growth in murine MC38 or B16-F10 preclinical syngeneic tumor models.3

Results Autophagy is a biological process that maintains cellular homeostasis and regulates the internal cellular environment. Hyperactivating autophagy to trigger cell death has been a suggested therapeutic strategy for cancer treatment.4, 5Mechanistic target of rapamycin (mTOR) is a crucial protein kinase that regulates autophagy; therefore, we identified lomitapide, a cholesterol-lowering drug, as a potential mTOR complex 1 (mTORC1) inhibitor (figure 1). Our results showed that lomitapide directly inhibits mTORC1 in vitro (figure 1) and induces autophagy-dependent cancer cell death by decreasing mTOR signaling (figure 2), thereby inhibiting the downstream events associated with increased LC3 conversion in various cancer cells (e.g., HCT116 colorectal cancer cells) (figure 3) and tumor xenografts (figure 4). Lomitapide also significantly suppresses the growth and viability along with elevated autophagy in patient-derived colorectal cancer organoids (figure 5). Furthermore, a combination of lomitapide and immune checkpoint blocking antibodies synergistically inhibits tumor growth in murine MC38 or B16-F10 preclinical syngeneic tumor models (figure 6).

Conclusions Our results elucidate the direct, tumor-relevant immune-potentiating benefits of mTORC1 inhibition by lomitapide, which complement the current immune checkpoint blockade. This study highlights that the U.S. FDA-approved drug, lomitapide, can be potentially repurposed for the treatment of cancer.

References

  1. Pushpakom S, Iorio F, Eyers PA, Escott KJ, Hopper S, Wells A, et al. Drug repurposing: progress, challenges and recommendations. Nat Rev Drug Disco. 2019;18:41–58.

  2. Vuorio A, Tikkanen MJ, Kovanen PT. Inhibition of hepatic microsomal triglyceride transfer protein – a novel therapeutic option for treatment of homozygous familial hypercholesterolemia. Vasc Health Risk Manag. 2014;10:263–70.

  3. Li H, Li X, Liu S, Guo L, Zhang B, Zhang J, et al. Programmed cell death-1 (PD-1) checkpoint blockade in combination with a mammalian target of rapamycin inhibitor restrains hepatocellular carcinoma growth induced by hepatoma cell-intrinsic PD-1. Hepatology. 2017;66:1920–33.

  4. Lamb CA, Yoshimori T, Tooze SA. The autophagosome: origins unknown, biogenesis complex. Nat Rev Mol Cell Biol. 2013;14:759–74.

  5. Amaravadi R, Kimmelman AC, White E. Recent insights into the function of autophagy in cancer. Genes Dev. 2016;30:1913–30.

Ethics Approval All mice were housed in a pathogen-free animal facility at KAIST Laboratory Animal Resource Center. The animals were maintained in a temperature/humidity-controlled room on a 12 h light/12 h dark cycle and fed a standard chow diet. All experiments involving animals were conducted according to the ethical policies and procedures approved by the Committee for Animal Care at KAIST.

Abstract 804 Figure 1

Identification of lomitapide as a mTORC1 inhibitora Flowchart of in silico virtual screening. b Structure of lomitapide. c The docking pose of lomitapide within the ATP-binding core of human mTORC1. d, e The thermal denaturation of recombinant mTOR kinase domain was measured in the absence and presence of varying lomitapide concentrations, as indicated. Representative derivative (dF/dT) curves are shown for untreated and treated with varying ligand concentrations (d). Midpoint temperatures of the protein-unfolding transition (Tm) are presented as bars (e). Values are mean ± SD of at least three independent measurements (*P < 0.05). f In vitro kinase assays were performed in the absence or presence of lomitapide using mTOR immunoprecipitates prepared from HEK293T cell lysates. mTORC1 kinase activity was assessed via immunoblotting of T389 S6K1 phosphorylation. g mTORC2 kinase activity was assessed based on S473 Akt phosphorylation. h In vitro mTORC1 activity was assayed in the presence of 50 μM lomitapide and increasing concentrations of ATP. T389 phosphorylation of S6K1 was measured via immunoblotting.

Abstract 804 Figure 2

Lomitapide inhibits cancer cell viability and reducea Cancer-specific growth inhibition of lomitapide on HCT116 colorectal cancer cell line. b Colony formation of vehicle or lomitapide-treated were measured in HT29, HCT116, and SW480 CRC cells. c mTOR downstream signaling defects in CRC cells were analyzed by immunoblotting treated with vehicle or lomitapide for 24 h at the indicated concentration. The mTOR inhibitor Torin1 was used as a control. d S757 phosphorylation of ULK1 and LC3 levels were measured by immunoblotting to assess autophagy induction.

Abstract 804 Figure 3

Lomitapide leads to autophagic cancer cell deatha Significantly enriched pathways in lomitapide-treated HCT116 cells compared with vehicle-treated cells identified through KEEG analysis. b Volcano plot showing significant gene expression changes in response to lomitapide treatment in HCT116 cells. c HT29 cells were transfected with GFP-LC3 plasmid for 24 h, and treated with 5 μM lomitapide for another 24 h. GFP-LC3 puncta was visualized by a confocal microscope. Scale bar: 20 μm. d Cell viability was measured in HT29 cells treated with 5 μM lomitapide in the absence or presence of 100 nM bafilomycin for 24 h. e HT29 cells were treated with 5 μM lomitapide in the absence or presence of 1 mM 3-MA for 24 h. LC3 levels were measured by immunoblotting to assess autophagy induction. f si-control and siATG7–transfected HT29 cells were treated with 5 μM lomitapide for 24 h. LC3 levels were measured by immunoblotting to assess autophagy induction.

Abstract 804 Figure 4

Lomitapide suppresses the growth of tumor xenograftsa HT29 cells were inoculated into flanks of nude mice and tumor volumes were measured for 10 days after intraperitoneal injection into xenograft tumors every 2 days. b Representative images of xenograft tumors at the day of sacrifice. c Body weight of xenograft mice bearing HT29 tumors during the in vivo experiment. Data were expressed as means ± SEM (*P < 0.05; **P < 0.01; ***P < 0.001, Student’s t-test). (n = 6 per group). d Hematoxylin and eosin (H&E) staining of tumor tissues collected from either vehicle or lomitapide-treated mice. e Tumor tissues were subjected to immunohistochemistry staining with Ki67 antibodies. Scale bar: 20 μm.

Abstract 804 Figure 5

Lomitapide suppresses the growth of patient-deriveda Dose-response curves of patient-derived CRC organoids CRC-01 (KRASWT; APC and TP53 mutant) and CRC-02 (KRASG12V; APC and TP53 mutant) treated with 10 μM 5-FU or 10 μM lomitapide. The organoid size was measured and quantified at 48 h of either 5-FU or lomitapide treatment relative to vehicle control. b Dose-response images of patient-derived CRC organoids CRC-01 and CRC-02 treated with DMSO, lomitapide, or 5-FU for 72 h at indicated concentrations. Organoids were stained with CFSE as an organoid marker (blue) and PI as a dead cell marker (red). Scale bars: 2 mm for CRC-01 and 1 mm for CRC-02. c H&E staining of the original matrigel CRC-01 organoid culture. Scale bar: 1 mm. d LC3 levels were measured by immunoblotting to assess autophagy induction. Lysates were prepared from organoids treated with vehicle, 10 μM lomitapide, or 10 μM 5-FU for 48 h.

Abstract 804 Figure 6

Treatment of tumor-bearing mice with lomitapide impra Tumor growth curves of MC38 mouse colon cancer cells in mice treated with control (vehicle) or lomitapide combined with either control isotype or anti-PD-1. Lomitapide at 20 mg/kg every day, anti-PD-1 or isotype IgG 10 mg/kg every other day. Statistically significant differences (indicated by asterisks) are calculated using an unpaired two-tailed Student’s t-test (*P < 0.05, **P < 0.005, and ***P < 0.0005). b Body weight trace during the experiment. c Representative images of tumor tissues at 18 days following inoculation of MC38 cells. d Representative H&E images of tissues (liver, kidney, and lung) collected from mine. Scale bar: 100uM e Tumor growth curves of B16F10 mouse melanoma cells in mice treated with control (vehicle) or lomitapide combined with either control isotype or anti-PD-1. Lomitapide at 20 mg/kg every day, anti-PD-1 or isotype IgG 10 mg/kg every other day. Statistically significant differences (indicated by asterisks) are calculated using an unpaired two-tailed Student’s t-test (*P < 0.05, **P < 0.005, and ***P < 0.0005). f Representative images of tumor tissues at 16 days following inoculation of B16F10 cells.

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