scholarly journals Matrix Drug Screen Identifies Synergistic Drug Combinations to Augment SMAC Mimetic Activity in Ovarian Cancer

Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3784
Author(s):  
Anne M. Noonan ◽  
Amanda Cousins ◽  
David Anderson ◽  
Kristen P. Zeligs ◽  
Kristen Bunch ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
High Throughput Screening ◽  
Therapeutic Potential ◽  
Single Agent ◽  
Recurrent Ovarian Cancer ◽  
Drug Combinations ◽  
Smac Mimetic ◽  
Synergistic Drug Combinations

Inhibitor of apoptosis (IAP) proteins are frequently upregulated in ovarian cancer, resulting in the evasion of apoptosis and enhanced cellular survival. Birinapant, a synthetic second mitochondrial activator of caspases (SMAC) mimetic, suppresses the functions of IAP proteins in order to enhance apoptotic pathways and facilitate tumor death. Despite on-target activity, however, pre-clinical trials of single-agent birinapant have exhibited minimal activity in the recurrent ovarian cancer setting. To augment the therapeutic potential of birinapant, we utilized a high-throughput screening matrix to identify synergistic drug combinations. Of those combinations identified, birinapant plus docetaxel was selected for further evaluation, given its remarkable synergy both in vitro and in vivo. We showed that this synergy results from multiple convergent pathways to include increased caspase activation, docetaxel-mediated TNF-α upregulation, alternative NF-kB signaling, and birinapant-induced microtubule stabilization. These findings provide a rationale for the integration of birinapant and docetaxel in a phase 2 clinical trial for recurrent ovarian cancer where treatment options are often limited and minimally effective.

DDRE-28. IDENTIFICATION OF SYNERGISTIC DRUG COMBINATIONS FOR THE THERAPY OF IDHmut GLIOMA

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi80-vi80
Author(s):  
Rolf Warta ◽  
Florian Stammler ◽  
Andreas Unterberg ◽  
Christel Herold-Mende
Keyword(s):  
Single Agent ◽  
Therapy Response ◽  
Drug Combinations ◽  
Drug Concentrations ◽  
Brain Barrier Permeability ◽  
Approved Drugs ◽  
Fda Approved Drugs ◽  
Biological Differences ◽  
Synergistic Drug Combinations

Abstract OBJECTIVE Isocitrate Dehydrogenase (IDH) mutation in glioma results in a multitude of biological differences with consequences for survival and therapy response. Therefore, IDH mutated (IDHmut) and wildtype (IDHwt) tumors are regarded as separate entities with the need for adjusted therapy like the combination of procarbazine, CCNU and vincristine (PCV). However, as vincristine has often severe side effects like neuropathy new effective therapy options are required. Therefore, we searched for combinations of FDA-approved drugs which effectively inhibit the growth of IDHmut cells in vitro. METHODS We tested different drug combinations of a drug library consisting of 146 FDA-approved drugs on two established IDHmut GSC lines. Based on a previous single agent drug screen, six drugs were selected (Idarubicin, Ixazumib, Ponatinib, Neratinib, Romidepsin) to be combined with all 146 drugs of the library. Cell viability was assessed by the CellTiterGlo 3D assay (Promega) in 96 well plates, while Caspase-Glo 3/7 3D assay was used to measure induction of apoptosis. RESULTS Out of 1460 drug combinations tested altogether 21 synergistic drug combinations could be identified and validated. The combination with the highest blood-brain-barrier permeability score was further investigated. Finally, drug-concentrations elucidating the highest synergistic effect on proliferation was further studied in a 8-point dose-response matrix followed by validation in additional four IDHmut GSC lines. CONCLUSION This work can lay the foundation for future improvements of the therapy of patients suffering from LGGs.

scholarly journals Identification of PLK1 as a New Therapeutic Target in Mucinous Ovarian Carcinoma

Cancers ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 672 ◽  
Author(s):  
Roberta Affatato ◽  
Laura Carrassa ◽  
Rosaria Chilà ◽  
Monica Lupi ◽  
Valentina Restelli ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
High Throughput Screening ◽  
Therapeutic Option ◽  
Xenograft Model ◽  
Antimitotic Drugs ◽  
M Phase ◽  
Sirna Library

Mucinous epithelial ovarian cancer (mEOC) is a rare subset of epithelial ovarian cancer. When diagnosed at a late stage, its prognosis is very poor, as it is quite chemo-resistant. To find new therapeutic options for mEOC, we performed high-throughput screening using a siRNA library directed against human protein kinases in a mEOC cell line, and polo-like kinase1 (PLK1) was identified as the kinase whose downregulation interfered with cell proliferation. Both PLK1 siRNA and two specific PLK1 inhibitors (onvansertib and volasertib) were able to inhibit cell growth, induce apoptosis and block cells in the G2/M phase of the cell cycle. We evaluated, in vitro, the combinations of PLK1 inhibitors and different chemotherapeutic drugs currently used in the treatment of mEOC, and we observed a synergistic effect of PLK1 inhibitors and antimitotic drugs. When translated into an in vivo xenograft model, the combination of onvansertib and paclitaxel resulted in stronger tumor regressions and in a longer mice survival than the single treatments. These effects were associated with a higher induction of mitotic block and induction of apoptosis, similarly to what was observed in vitro. These data suggest that the combination onvansertib/paclitaxel could represent a new active therapeutic option in mEOC.

scholarly journals DTF: Deep Tensor Factorization for predicting anticancer drug synergy

2020 ◽  
Vol 36 (16) ◽  
pp. 4483-4489
Author(s):  
Zexuan Sun ◽  
Shujun Huang ◽  
Peiran Jiang ◽  
Pingzhao Hu
Keyword(s):  
Logistic Regression ◽  
Performance Metrics ◽  
Factorization Method ◽  
Drug Combinations ◽  
Supplementary Information ◽  
Tensor Factorization ◽  
Drug Synergy ◽  
Synergistic Drug Combinations

Abstract Motivation Combination therapies have been widely used to treat cancers. However, it is cost and time consuming to experimentally screen synergistic drug pairs due to the enormous number of possible drug combinations. Thus, computational methods have become an important way to predict and prioritize synergistic drug pairs. Results We proposed a Deep Tensor Factorization (DTF) model, which integrated a tensor factorization method and a deep neural network (DNN), to predict drug synergy. The former extracts latent features from drug synergy information while the latter constructs a binary classifier to predict the drug synergy status. Compared to the tensor-based method, the DTF model performed better in predicting drug synergy. The area under precision-recall curve (PR AUC) was 0.58 for DTF and 0.24 for the tensor method. We also compared the DTF model with DeepSynergy and logistic regression models, and found that the DTF outperformed the logistic regression model and achieved similar performance as DeepSynergy using several performance metrics for classification task. Applying the DTF model to predict missing entries in our drug–cell-line tensor, we identified novel synergistic drug combinations for 10 cell lines from the 5 cancer types. A literature survey showed that some of these predicted drug synergies have been identified in vivo or in vitro. Thus, the DTF model could be a valuable in silico tool for prioritizing novel synergistic drug combinations. Availability and implementation Source code and data are available at https://github.com/ZexuanSun/DTF-Drug-Synergy. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals In Vivo and In Vitro Sensitivity of Fasciola hepatica to Triclabendazole Combined with Artesunate, Artemether, or OZ78

2010 ◽  
Vol 54 (11) ◽  
pp. 4596-4604 ◽  
Author(s):  
Urs Duthaler ◽  
Thomas A. Smith ◽  
Jennifer Keiser
Keyword(s):  
Negative Binomial ◽  
Fasciola Hepatica ◽  
Single Agent ◽  
Treatment Strategies ◽  
Drug Combinations ◽  
Antagonistic Effects ◽  
Experimental Drugs ◽  
New Treatment

ABSTRACT Triclabendazole resistance is continually documented from livestock, and hence new treatment strategies for Fasciola hepatica infections are needed. We investigated the effect of triclabendazole combined with artesunate, artemether, or OZ78 compared to that of monotherapy against adult and juvenile F. hepatica in rats. In vitro experiments with triclabendazole and its sulfoxide and sulfone metabolites, each in combination with the peroxides, complemented our study. F. hepatica-infected rats were subjected to single drugs or drug combinations 3 to 4 weeks (juvenile flukes) and >8 weeks (adult flukes) postinfection. Negative binomial regressions of worm and egg counts were used to analyze dose-response relationships and whether the effects of drug combinations were synergistic or antagonistic. The in vitro assays were evaluated by means of viability scales based on fluke motility. Fifty percent effective dose values of 113.0, 77.7, 22.9, and 2.7 mg/kg of body weight were calculated for monotherapy with artesunate, artemether, OZ78, and triclabendazole, respectively, against adult F. hepatica. Likelihood ratio tests revealed synergistic interactions (P < 0.05) of combinations of triclabendazole (2.5 mg/kg) plus artesunate or artemether on adult worm burden. Antagonistic effects on the adult burden and egg output were observed when a lower triclabendazole dose (1.25 mg/kg) was combined with the artemisinins. No significant interactions (P = 0.07) were observed for OZ78 and triclabendazole combinations and between the triclabendazole effect and the effects of the other partner drugs on juvenile worms. Our in vitro studies of adult worms agreed with the in vivo results, while the in vitro analysis of juvenile worms revealed greater interactions than observed in vivo. In conclusion, single-agent triclabendazole demonstrated a more potent in vivo and in vitro fasciocidal activity than the experimental drugs artesunate, artemether, and OZ78. When combined, synergistic but also antagonistic effects depending on the doses administered were observed, which should be elucidated in more detail in future studies.

scholarly journals Targeted CRISPR screening identifies PRMT5 as synthetic lethality combinatorial target with gemcitabine in pancreatic cancer cells

2020 ◽  
Author(s):  
Xiaolong Wei ◽  
Jiekun Yang ◽  
Sara J. Adair ◽  
Cem Kuscu ◽  
Kyung Yong Lee ◽  
...  
Keyword(s):  
Dna Damage ◽  
Cell Death ◽  
Dna Repair ◽  
Genetic Alterations ◽  
Model System ◽  
Drug Combinations ◽  
Pancreatic Cancer Cells ◽  
Synergistic Drug Combinations

ABSTRACTPancreatic ductal adenocarcinoma (PDAC) remains one of the most challenging cancer to treat. Due to the asymptomatic nature of the disease and ineffective drug treatment modalities, the survival rate of PDAC patients remains one of the lowest. The recurrent genetic alterations in PDAC are yet to be targeted; therefore, identifying effective therapeutic combinations is desperately needed. Here, we performed an in vivo CRISPR screening in a clinically relevant patient-derived xenograft (PDX) model system to identify synergistic drug combinations for PDAC treatment. Our approach revealed protein arginine methyltransferase gene 5 (PRMT5) as a promising druggable candidate whose inhibition creates synergistic vulnerability of PDAC cells to gemcitabine. Genetic and pharmacological inhibition results indicate that of PRMT5 depletion results in synergistic cytotoxicity with Gem due to depleted replication protein A (RPA) levels and an impaired non-homology end joining (NHEJ) DNA repair. Thus, the novel combination creates conditional lethality through the accumulation of excessive DNA damage and cell death, both in vitro and in vivo. The findings demonstrate that unbiased genetic screenings combined with a clinically relevant model system is an effective approach in identifying synthetic lethal drug combinations for cancer treatment.STATEMENT of SIGNIFICANCEIdentify synergistic drug combinations for PDAC is a significant unmet need. Through CRISPR screening, we discovered and validated that PRMT5 depletion creates synergistic vulnerability of PDAC cells to gemcitabine. Mechanistically, the combination impairs DNA repair, synergistic accumulation of DNA damage and cell death in vitro and in vivo.

scholarly journals Multiple Myeloma: Combination Therapy of BET Proteolysis Targeting Chimeric Molecule with CDK9 Inhibitor

2020 ◽  
Author(s):  
Su-Lin Lim ◽  
Liang Xu ◽  
Bing-Chen Han ◽  
Pavithra Shyamsunder ◽  
Wee-Joo Chng ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Combination Treatment ◽  
Therapeutic Potential ◽  
Single Agent ◽  
Transcriptional Elongation ◽  
Myeloma Cells ◽  
Terminal Domain ◽  
Cdk9 Inhibitor

AbstractCyclin Dependent Kinase 9 (CDK9) associates with Bromodomain and Extra-Terminal Domain (BET) proteins to promote transcriptional elongation by phosphorylation of serine 2 of RNAP II C-terminal domain. We examined the therapeutic potential of selective CDK9 inhibitors (AZD 4573 and MC180295) against human multiple myeloma cells in vitro. Short-hairpin RNA silencing of CDK9 in Multiple Myeloma (MM) cell lines reduced cell viability compared to control cells showing the dependency of MM cells on CDK9. In order to explore synergy with the CDK9 inhibitor, proteolysis targeting chimeric molecule (PROTAC) ARV 825 was added. This latter drug causes ubiquitination of BET proteins resulting in their rapid and efficient degradation. Combination treatment of MM cells with ARV 825 and AZD 4573 markedly reduced their protein expression of BRD 2, BRD 4, MYC and phosphorylated RNA pol II as compared to each single agent alone. Combination treatment synergistically inhibited multiple myeloma cells both in vitro and in vivo with insignificant weight loss. The combination also resulted in marked increase of apoptotic cells at low dose compared to single agent alone. Taken together, our studies show for the first time that the combination of a BET PROTAC (ARV 825) plus AZD 4573 (CDK9 inhibitor) is effective against MM cells.

scholarly journals Synergy between Auranofin and Celecoxib against Colon Cancer In Vitro and In Vivo through a Novel Redox-Mediated Mechanism

Cancers ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 931 ◽  
Author(s):  
Yi Han ◽  
Ping Chen ◽  
Yanyu Zhang ◽  
Wenhua Lu ◽  
Wenwen Ding ◽  
...  
Keyword(s):  
Cancer Treatment ◽  
Anticancer Activity ◽  
High Throughput Screening ◽  
Redox Homeostasis ◽  
Single Agent ◽  
Experimental Models ◽  
Clinical Applications ◽  
Moderate Activity

Recent study suggests that auranofin (AF), a US Food and Drug Administration (FDA)-approved drug for treatment of rheumatoid arthritis, has selective anticancer activity in various experimental models. Its clinical applications in cancer treatment, however, have been hampered due in part to its relatively moderate activity as a single agent. In this study, we performed a high-throughput screening of the FDA-approved drug library for clinical compounds that potentiate the anticancer activity auranofin, and unexpectedly identified an anti-inflammatory drug celecoxib (CE) that potently enhanced the therapeutic activity of AF in vitro and in vivo. Mechanistically, AF/CE combination induced severe oxidative stress that caused ROS-mediated inhibition of hexokinase (HK) and a disturbance of mitochondrial redox homeostasis, resulting in a significant decrease of ATP generation. The CE-induced ROS increase together with AF-medicated inhibition of thioredoxin reductase cause a shift of Trx2 to an oxidized state, leading to degradation of MTCO2 and dysfunction of the electron transport chain. Our study has identified a novel drug combination that effectively eliminates cancer cells in vivo. Since AF and CE are FDA-approved drugs that are currently used in the clinic, it is feasible to translate the findings of this study into clinical applications for cancer treatment.

The Novel IκB Kinase β Inhibitor, IMD-0560, Has Potent Therapeutic Efficacy in Ovarian Cancer Xenograft Model Mice

2016 ◽  
Vol 26 (4) ◽  
pp. 610-618 ◽  
Author(s):  
Ikuko Sawada ◽  
Kae Hashimoto ◽  
Kenjiro Sawada ◽  
Yasuto Kinose ◽  
Koji Nakamura ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Cells ◽  
Cancer Cell ◽  
Ovarian Cancer Cell ◽  
Therapeutic Potential ◽  
Ovarian Cancer Cell Lines ◽  
Iκb Kinase ◽  
Xenograft Mice

ObjectiveAberrant activation of nuclear factor-kappa β (NF-κB) signaling has been correlated with poor outcome among patients with ovarian cancer. Although the therapeutic potential of NF-κB pathway disruption in cancers has been extensively studied, most classical NF-κB inhibitors are poorly selective, exhibit off-target effects, and have failed to be applied in clinical use. IMD-0560,N-[2,5-bis (trifluoromethyl) phenyl]-5-bromo-2-hydroxybenzamide, is a novel low-molecular-weight compound that selectively inhibits the IκB kinase complex and works as an inhibitor of NF-κB signaling. The aim of this study was to assess the therapeutic potential of IMD-0560 against ovarian cancer in vitro and in vivo.MethodsNF-κB activity (phosphorylation) was determined in 9 ovarian cancer cell lines and the inhibitory effect of IMD-0560 on NF-κB activation was analyzed by Western blotting. Cell viability, cell cycle, vascular endothelial growth factor (VEGF) expression, and angiogenesis were assessed in vitro to evaluate the effect of IMD-0560 on ovarian cancer cells. In vivo efficacy of IMD-0560 was also investigated using an ovarian cancer xenograft mouse model.ResultsThe NF-κB signaling pathway was constitutively activated in 8 of 9 ovarian cancer cell lines. IMD-0560 inhibited NF-κB activation and suppressed ovarian cancer cell proliferation by inducing G1 phase arrest. IMD-0560 decreased VEGF secretion from cancer cells and inhibited the tube formation of human umbilical vein endothelial cells. IMD-0560 significantly inhibited peritoneal metastasis and prolonged the survival in an ovarian cancer xenograft mice model. Immunohistochemical staining of excised tumors revealed that IMD-0560 suppressed VEGF expression, tumor angiogenesis, and cancer cell proliferation.ConclusionsIMD-0560 showed promising therapeutic efficacy against ovarian cancer xenograft mice by inducing cell cycle arrest and suppressing VEGF production from cancer cells. IMD-0560 may be a potential future option in regimens for the treatment of ovarian cancer.

scholarly journals Polymeric Nanoparticle Delivery of Combination Therapy with Synergistic Effects in Ovarian Cancer

Nanomaterials ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1048
Author(s):  
Shani L. Levit ◽  
Christina Tang
Keyword(s):  
Ovarian Cancer ◽  
Drug Resistance ◽  
Treatment Efficacy ◽  
Synergistic Effects ◽  
Chemotherapeutic Agents ◽  
Drug Combinations ◽  
Dosing Schedule ◽  
Acquired Drug Resistance

Treatment of ovarian cancer is challenging due to late stage diagnosis, acquired drug resistance mechanisms, and systemic toxicity of chemotherapeutic agents. Combination chemotherapy has the potential to enhance treatment efficacy by activation of multiple downstream pathways to overcome drug resistance and reducing required dosages. Sequence of delivery and the dosing schedule can further enhance treatment efficacy. Formulation of drug combinations into nanoparticles can further enhance treatment efficacy. Due to their versatility, polymer-based nanoparticles are an especially promising tool for clinical translation of combination therapies with tunable dosing schedules. We review polymer nanoparticle (e.g., micelles, dendrimers, and lipid nanoparticles) carriers of drug combinations formulated to treat ovarian cancer. In particular, the focus on this review is combinations of platinum and taxane agents (commonly used first line treatments for ovarian cancer) combined with other small molecule therapeutic agents. In vitro and in vivo drug potency are discussed with a focus on quantifiable synergistic effects. The effect of drug sequence and dosing schedule is examined. Computational approaches as a tool to predict synergistic drug combinations and dosing schedules as a tool for future nanoparticle design are also briefly discussed.

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