Wojciech Senkowski

Three-Dimensional Cell Culture-Based Screening Identifies the Anthelmintic Drug Nitazoxanide as a Candidate for Treatment of Colorectal Cancer

Because dormant cancer cells in hypoxic and nutrient-deprived regions of solid tumors provide a major obstacle to treatment, compounds targeting those cells might have clinical benefits. Here, we describe a high-throughput drug screening approach, using glucose-deprived multicellular tumor spheroids (MCTS) with inner hypoxia, to identify compounds that specifically target this cell population. We used a concept of drug repositioning—using known molecules for new indications. This is a promising strategy to identify molecules for rapid clinical advancement. By screening 1,600 compounds with documented clinical history, we aimed to identify candidates with unforeseen potential for repositioning as anticancer drugs. Our screen identified five molecules with pronounced MCTS-selective activity: nitazoxanide, niclosamide, closantel, pyrvinium pamoate, and salinomycin. Herein, we show that all five compounds inhibit mitochondrial respiration. This suggests that cancer cells in low glucose concentrations depend on oxidative phosphorylation rather than solely glycolysis. Importantly, continuous exposure to the compounds was required to achieve effective treatment. Nitazoxanide, an FDA-approved antiprotozoal drug with excellent pharmacokinetic and safety profile, is the only molecule among the screening hits that reaches high plasma concentrations persisting for up to a few hours after single oral dose. Nitazoxanide activated the AMPK pathway and downregulated c-Myc, mTOR, and Wnt signaling at clinically achievable concentrations. Nitazoxanide combined with the cytotoxic drug irinotecan showed anticancer activity in vivo. We here report that the FDA-approved anthelmintic drug nitazoxanide could be a potential candidate for advancement into cancer clinical trials. Mol Cancer Ther; 14(6); 1504–16. ©2015 AACR.

In vitro discovery of promising anti-cancer drug combinations using iterative maximisation of a therapeutic index

In vitro-based search for promising anti-cancer drug combinations may provide important leads to improved cancer therapies. Currently there are no integrated computational-experimental methods specifically designed to search for combinations, maximizing a predefined therapeutic index (TI) defined in terms of appropriate model systems. Here, such a pipeline is presented allowing the search for optimal combinations among an arbitrary number of drugs while also taking experimental variability into account. The TI optimized is the cytotoxicity difference (in vitro) between a target model and an adverse side effect model. Focusing on colorectal carcinoma (CRC), the pipeline provided several combinations that are effective in six different CRC models with limited cytotoxicity in normal cell models. Herein we describe the identification of the combination (Trichostatin A, Afungin, 17-AAG) and present results from subsequent characterisations, including efficacy in primary cultures of tumour cells from CRC patients. We hypothesize that its effect derives from potentiation of the proteotoxic action of 17-AAG by Trichostatin A and Afungin. The discovered drug combinations against CRC are significant findings themselves and also indicate that the proposed strategy has great potential for suggesting drug combination treatments suitable for other cancer types as well as for other complex diseases.

Iron chelators target both proliferating and quiescent cancer cells

Poorly vascularized areas of solid tumors contain quiescent cell populations that are resistant to cell cycle-active cancer drugs. The compound VLX600 was recently identified to target quiescent tumor cells and to inhibit mitochondrial respiration. We here performed gene expression analysis in order to characterize the cellular response to VLX600. The compound-specific signature of VLX600 revealed a striking similarity to signatures generated by compounds known to chelate iron. Validation experiments including addition of ferrous and ferric iron in excess, EXAFS measurements, and structure activity relationship analyses showed that VLX600 chelates iron and supported the hypothesis that the biological effects of this compound is due to iron chelation. Compounds that chelate iron possess anti-cancer activity, an effect largely attributed to inhibition of ribonucleotide reductase in proliferating cells. Here we show that iron chelators decrease mitochondrial energy production, an effect poorly tolerated by metabolically stressed tumor cells. These pleiotropic features make iron chelators an attractive option for the treatment of solid tumors containing heterogeneous populations of proliferating and quiescent cells.

Targeting tumor cells based on phosphodiesterase 3A expression

ABSTRACT We and others have previously reported a correlation between high phosphodiesterase 3 A (PDE3A) expression and selective sensitivity to phosphodiesterase (PDE) inhibitors. This indicates that PDE3A could serve both as a drug target and a biomarker of sensitivity to PDE3 inhibition. In this report, we explored publicly available mRNA gene expression data to identify cell lines with different PDE3A expression. Cell lines with high PDE3A expression showed marked in vitro sensitivity to PDE inhibitors zardaverine and quazinone, when compared with those having low PDE3A expression. Immunofluorescence and immunohistochemical stainings were in agreement with PDE3A mRNA expression, providing suitable alternatives for biomarker analysis of clinical tissue specimens. Moreover, we here demonstrate that tumor cells from patients with ovarian carcinoma show great variability in PDE3A protein expression and that level of PDE3A expression is correlated with sensitivity to PDE inhibition. Finally, we demonstrate that PDE3A is highly expressed in subsets of patient tumor cell samples from different solid cancer diagnoses and expressed at exceptional levels in gastrointestinal stromal tumor (GIST) specimens. Importantly, vulnerability to PDE3 inhibitors has recently been associated with co‐expression of PDE3A and Schlafen family member 12 (SLFN12). We here demonstrate that high expression of PDE3A in clinical specimens, at least on the mRNA level, seems to be frequently associated with high SLFN12 expression. In conclusion, PDE3A seems to be both a promising biomarker and drug target for individualized drug treatment of various cancers. HIGHLIGHTSPDE3A mRNA overexpression correlates to PDE3A protein overexpression.High levels of PDE3A protein can be detected in clinical samples using IHC.Primary cells from subgroup of patients with high PDE3A respond to PDE3 inhibitors.PDE3A is overexpressed in subsets of patient derived samples from various tumors.Gastrointestinal stromal tumors show the highest expression of PDE3A.

The anticancer effect of mebendazole may be due to M1 monocyte/macrophage activation via ERK1/2 and TLR8-dependent inflammasome activation

Abstract Mebendazole (MBZ), a drug commonly used for helminitic infections, has recently gained substantial attention as a repositioning candidate for cancer treatment. However, the mechanism of action behind its anticancer activity remains unclear. To address this problem, we took advantage of the curated MBZ-induced gene expression signatures in the LINCS Connectivity Map (CMap) database. The analysis revealed strong negative correlation with MEK/ERK1/2 inhibitors. Moreover, several of the most upregulated genes in response to MBZ exposure were related to monocyte/macrophage activation. The MBZ-induced gene expression signature in the promyeloblastic HL-60 cell line was strongly enriched in genes involved in monocyte/macrophage pro-inflammatory (M1) activation. This was subsequently validated using MBZ-treated THP-1 monocytoid cells that demonstrated gene expression, surface markers and cytokine release characteristic of the M1 phenotype. At high concentrations MBZ substantially induced the release of IL-1β and this was further potentiated by lipopolysaccharide (LPS). At low MBZ concentrations, cotreatment with LPS was required for MBZ-stimulated IL-1β secretion to occur. Furthermore, we show that the activation of protein kinase C, ERK1/2 and NF-kappaB were required for MBZ-induced IL-1β release. MBZ-induced IL-1β release was found to be dependent on NLRP3 inflammasome activation and to involve TLR8 stimulation. Finally, MBZ induced tumor-suppressive effects in a coculture model with differentiated THP-1 macrophages and HT29 colon cancer cells. In summary, we report that MBZ induced a pro-inflammatory (M1) phenotype of monocytoid cells, which may, at least partly, explain MBZ’s anticancer activity observed in animal tumor models and in the clinic.

Abstract 4990: High-throughput drug combination screening in tumor spheroids identifies context-dependent synthetic lethalities

Monolayer, two-dimensional (2D) cell cultures have been a predominant in vitro model in anticancer drug discovery and high-throughput screening (HTS). However, 2D cultures of cancer cells lack numerous properties of in vivo tumors, such as tissue-like structure, cell-cell interactions and nutrient/oxygen gradients. Thus, in recent years there has been an increased interest in 3D cell cultures, such as multicellular tumors spheroids (MCTS), to address some of these limitations. Recently, we and others have applied MCTS for HTS and identified oxidative phosphorylation (OXPHOS) as a selective vulnerability of quiescent cancer cells persisting in hypoxic and nutrient-deprived milieu. However, prolonged continuous exposure to OXPHOS inhibitors is necessary for the cytotoxic effect. Thus, there is a need to identify processes that could be co-targeted for enhanced anticancer activity. Here, we present two distinct HTS approaches to identify combination partner molecules for OXPHOS inhibitors. Since we were interested in targeting non-dividing nutrient-deprived cancer cells, we used quiescent MCTS (Q-MCTS), as an in vitro model. Cells in Q-MCTS experience glucose concentrations and pH similar to those observed in deep tumor parenchyma in vivo. In our first screening approach, we have applied high-throughput gene-expression profiling to study drug effects in MCTS at a large scale. Using L1000 Gene Expression Profiling method, we generated a dataset of over 1000 drug-induced gene-expression profiles and found that co-targeting of OXPHOS and the mevalonate pathway results in selective synergistic toxicity in quiescent cancer cells. In the other approach, we screened a library of 1650 biologically active compounds, with or without addition of the FDA-approved anthelmintic agent nitazoxanide (an OXPHOS inhibitor with high drug repurposing potential). After the screen, we selected molecules that demonstrated pronounced synergy when combined with nitazoxanide, but not when used alone. Then, we validated the hits in an extensive dose-response combination experiments in Q-MCTS and chose 14 compounds that demonstrated strong synergistic interaction with nitazoxanide at broad range of concentrations. These included antifungal agents, kinase inhibitors and others. In summary, we here report on novel approaches, utilizing 3D cell cultures, to identify drug combinations targeting quiescent cancer cells. By high-throughput gene-expression profiling and large-scale combinatorial drug screens, we were able to identify drug combinations preferentially toxic to quiescent cells. This work also demonstrates how 3D cell cultures yield functional insights that are not accessible through standard 2D cultures. Citation Format: Wojciech Senkowski, Madiha Nazir, Malin Jarvius, Jenny Rubin, Johan Lengqvist, Mats G. Gustafsson, Peter Nygren, Kim Kultima, Rolf Larsson, Marten Fryknas. High-throughput drug combination screening in tumor spheroids identifies context-dependent synthetic lethalities [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4990. doi:10.1158/1538-7445.AM2017-4990

Abstract 213: Mitochondrial inhibitors and statins: a lethal combination for metabolically stressed cancer cells

Inhibition of mitochondrial oxidative phosphorylation (OXPHOS) has recently emerged as a promising strategy for treatment of therapy-resistant cancer cells. These cells often reside within hypoxic tumor regions, where nutrient concentrations are low. Recently, OXPHOS inhibitors have been demonstrated to be toxic to quiescent, nutrient-deprived cells in multicellular tumor spheroids. Such spheroids, formed without medium exchange over the culture period, can serve as an appropriate model to mimic quiescent in vivo tumor regions. These spheroids exhibit low cell proliferation and comprise necrotic cores, contrary to commonly used spheroids cultured with frequent medium change. We here aimed to characterize how quiescent cells respond to OXPHOS inhibition and thereby identify processes that could be co-targeted for enhanced toxicity. We treated HCT116 colon cancer cell line, grown as monolayer cultures and spheroids, with a range of OXPHOS inhibitors (n = 10, including FDA-approved drugs, e.g. nitazoxanide) and other compounds (n = 14) at escalating doses and in 4 biological replicates. Then, we obtained global gene expression profiles (n = 1149, including 144 vehicle controls) of all treatment conditions using L1000 Gene Expression Profiling method. We found that upon exposure to OXPHOS inhibitors cells grown as nutrient-deprived spheroids significantly and in dose-dependent manner upregulate expression of genes involved in biosynthesis of cholesterol. This response was not observed for spheroids cultured with medium change or monolayer cell cultures. Thus, we were interested if simultaneous exposure to OXPHOS inhibitors and statins, inhibitors of mevalonate (cholesterol precursor) synthesis, would result in enhanced cytotoxic effects in quiescent, metabolically stressed cells. We here demonstrate that combination of OXPHOS inhibitors and statins results in pronounced synergistic cytotoxicity in metabolically stressed spheroids. This effect was observed for various classes of OXPHOS inhibitors and different types of statins, indicating that the observed synergy was not a result of off-target effects. This notion was further strengthened by the finding that mevalonate largely abrogated the synergistic effects. In conclusion, we here report that statins enhance the toxic effects of OXPHOS inhibitors in quiescent, metabolically stressed cells. Our results can serve as a foundation for further studies on targeting therapy-resistant and nutrient-deprived cancer cells by inhibition of OXPHOS. We also demonstrate, for the first time, that the L1000 Gene Expression Profiling can be used to study 3D cell cultures. Importantly, our findings underscore the importance of using a relevant cellular model for target discovery endeavors. Citation Format: Wojciech Senkowski, Malin Jarvius, Kim Kultima, Jenny Rubin, Mats Gustafsson, Peter Nygren, Rolf Larsson, Marten Fryknas. Mitochondrial inhibitors and statins: a lethal combination for metabolically stressed cancer cells. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 213.

Abstract 323: Spheroid-based high throughput screening for identification of molecules targeting different tumor microenvironment characteristics

Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA In recent years, cell-based evaluation of drug-induced phenotypic changes has become an important strategy in high throughput drug screening (HTS). However, due to the lack of clinically relevant in vitro models, phenotype-based screening has not resulted in the identification of as many successful compounds as initially assumed. Thus, an application of the long-known multicellular tumor spheroid (MCTS) model for HTS has recently gained attention, as MCTS mimic the complex in vivo situation more closely than standard monolayer cell cultures. However, due to major difficulties with formation of uniform spheroids in a large scale, application of MCTS for HTS has been limited. We focused our efforts on the development of spheroid-based HTS systems in 384-well format for the identification of molecules targeting different tumor microenvironment characteristics. For spheroid formation we used two colorectal cancer cell lines, HCT116 and HT-29, both constitutively expressing green fluorescent protein (GFP). During the spheroid formation process, culture medium was either changed every 4 days or left unchanged. This approach resulted in the generation of two different spheroid models from the each cell line - one representing tumor regions with the sufficient access to nutrients; the other simulating parts with more harsh conditions. Spheroids formed with medium change were more proliferative and less dependent on oxygen. By measuring spheroid GFP fluorescence intensity we could non-invasively monitor drug action over time. First screens revealed a group of drugs particularly effective in quiescent spheroids compared with proliferating spheroids and monolayer cell cultures. All of the compounds inhibited mitochondrial oxidative phosphorylation. The screen confirmed mitochondrial respiration as a promising target for treatment of dormant cells in nutrient-deprived tumor regions and identified molecules with previously unrecognized potential for further clinical advancement. Another screening system was developed to identify drugs that directly influence the immune components of tumor microenvironment. Spheroids are formed by co-culturing cancer cells with human primary monocytes. Over the culture period, monocytes differentiate into tumor-associated macrophages. First pilot experiments showed promising results and more extensive screens are planned. For characterization of drug effects at the transcriptome level, a spheroid-based gene expression profiling method is under development. The method will enable high throughput analysis of transcripts from spheroids treated with chemical libraries. In conclusion, we here present a novel approach to HTS, which by utilizing diverse MCTS models has a potential to identify molecules directly targeting tumor-specific microenvironment components. Citation Format: Wojciech Senkowski, Xiaonan Zhang, Peter Nygren, Maria Hagg Olofsson, Mats Gustafsson, Stig Linder, Rolf Larsson, Marten Fryknas. Spheroid-based high throughput screening for identification of molecules targeting different tumor microenvironment characteristics. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 323. doi:10.1158/1538-7445.AM2015-323

Abstract 3781: A spheroid-based screen identifies mitochondrial targeting as a promising strategy for cancer treatment and drug repositioning

A spheroid-based screen identifies mitochondrial targeting as a promising strategy for cancer treatment and drug repositioning