scholarly journals New in vitro system to predict chemotherapeutic efficacy of drug combinations in fresh tumor samples

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3030 ◽  
Author(s):  
Frank Christian Kischkel ◽  
Julia Eich ◽  
Carina I. Meyer ◽  
Paula Weidemüller ◽  
Jens Krapfl ◽  
...  

Background To find the best individual chemotherapy for cancer patients, the efficacy of different chemotherapeutic drugs can be predicted by pretesting tumor samples in vitro via the chemotherapy-resistance (CTR)-Test®. Although drug combinations are widely used among cancer therapy, so far only single drugs are tested by this and other tests. However, several first line chemotherapies are combining two or more chemotherapeutics, leading to the necessity of drug combination testing methods. Methods We established a system to measure and predict the efficacy of chemotherapeutic drug combinations with the help of the Loewe additivity concept in combination with the CTR-test. A combination is measured by using half of the monotherapy’s concentration of both drugs simultaneously. With this method, the efficacy of a combination can also be calculated based on single drug measurements. Results The established system was tested on a data set of ovarian carcinoma samples using the combination carboplatin and paclitaxel and confirmed by using other tumor species and chemotherapeutics. Comparing the measured and the calculated values of the combination testings revealed a high correlation. Additionally, in 70% of the cases the measured and the calculated values lead to the same chemotherapeutic resistance category of the tumor. Conclusion Our data suggest that the best drug combination consists of the most efficient single drugs and the worst drug combination of the least efficient single drugs. Our results showed that single measurements are sufficient to predict combinations in specific cases but there are exceptions in which it is necessary to measure combinations, which is possible with the presented system.

Angiogenesis ◽  
2015 ◽  
Vol 18 (3) ◽  
pp. 233-244 ◽  
Author(s):  
Andrea Weiss ◽  
Xianting Ding ◽  
Judy R. van Beijnum ◽  
Ieong Wong ◽  
Tse J. Wong ◽  
...  

Abstract Drug combinations can improve angiostatic cancer treatment efficacy and enable the reduction of side effects and drug resistance. Combining drugs is non-trivial due to the high number of possibilities. We applied a feedback system control (FSC) technique with a population-based stochastic search algorithm to navigate through the large parametric space of nine angiostatic drugs at four concentrations to identify optimal low-dose drug combinations. This implied an iterative approach of in vitro testing of endothelial cell viability and algorithm-based analysis. The optimal synergistic drug combination, containing erlotinib, BEZ-235 and RAPTA-C, was reached in a small number of iterations. Final drug combinations showed enhanced endothelial cell specificity and synergistically inhibited proliferation (p < 0.001), but not migration of endothelial cells, and forced enhanced numbers of endothelial cells to undergo apoptosis (p < 0.01). Successful translation of this drug combination was achieved in two preclinical in vivo tumor models. Tumor growth was inhibited synergistically and significantly (p < 0.05 and p < 0.01, respectively) using reduced drug doses as compared to optimal single-drug concentrations. At the applied conditions, single-drug monotherapies had no or negligible activity in these models. We suggest that FSC can be used for rapid identification of effective, reduced dose, multi-drug combinations for the treatment of cancer and other diseases.


2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Hui Liu ◽  
Wenhao Zhang ◽  
Lixia Nie ◽  
Xiancheng Ding ◽  
Judong Luo ◽  
...  

Abstract Background Although targeted drugs have contributed to impressive advances in the treatment of cancer patients, their clinical benefits on tumor therapies are greatly limited due to intrinsic and acquired resistance of cancer cells against such drugs. Drug combinations synergistically interfere with protein networks to inhibit the activity level of carcinogenic genes more effectively, and therefore play an increasingly important role in the treatment of complex disease. Results In this paper, we combined the drug similarity network, protein similarity network and known drug-protein associations into a drug-protein heterogenous network. Next, we ran random walk with restart (RWR) on the heterogenous network using the combinatorial drug targets as the initial probability, and obtained the converged probability distribution as the feature vector of each drug combination. Taking these feature vectors as input, we trained a gradient tree boosting (GTB) classifier to predict new drug combinations. We conducted performance evaluation on the widely used drug combination data set derived from the DCDB database. The experimental results show that our method outperforms seven typical classifiers and traditional boosting algorithms. Conclusions The heterogeneous network-derived features introduced in our method are more informative and enriching compared to the primary ontology features, which results in better performance. In addition, from the perspective of network pharmacology, our method effectively exploits the topological attributes and interactions of drug targets in the overall biological network, which proves to be a systematic and reliable approach for drug discovery.


2020 ◽  
Vol 64 (4) ◽  
Author(s):  
Brittany O’Brien ◽  
Sudha Chaturvedi ◽  
Vishnu Chaturvedi

ABSTRACT Since 2016, New York hospitals and health care facilities have faced an unprecedented outbreak of the pathogenic yeast Candida auris. We tested over 1,000 C. auris isolates from affected facilities and found high resistance to fluconazole (MIC > 256 mg/liter) and variable resistance to other antifungal drugs. Therefore, we tested if two-drug combinations are effective in vitro against multidrug-resistant C. auris. Broth microdilution antifungal combination plates were custom manufactured by TREK Diagnostic System. We used 100% inhibition endpoints for the drug combination as reported earlier for the intra- and interlaboratory agreements against Candida species. The results were derived from 12,960 readings, for 15 C. auris isolates tested against 864 two-drug antifungal combinations for nine antifungal drugs. Flucytosine (5FC) at 1.0 mg/liter potentiated the most combinations. For nine C. auris isolates resistant to amphotericin B (AMB; MIC ≥ 2.0 mg/liter), AMB-5FC (0.25/1.0 mg/liter) yielded 100% inhibition. Six C. auris isolates resistant to three echinocandins (anidulafungin [AFG], MIC ≥ 4.0 mg/liter; caspofungin [CAS], MIC ≥ 2.0 mg/liter; and micafungin [MFG], MIC ≥ 4.0 mg/liter) were 100% inhibited by AFG-5FC and CAS-5FC (0.0078/1 mg/liter) and MFG-5FC (0.12/1 mg/liter). None of the combinations were effective for C. auris 18-1 and 18-13 (fluconazole [FLC] > 256 mg/liter, 5FC > 32 mg/liter) except MFG-5FC (0.1/0.06 mg/liter). Thirteen isolates with a high voriconazole (VRC) MIC (>2 mg/liter) were 100% inhibited by the VRC-5FC (0.015/1 mg/liter). The simplified two-drug combination susceptibility test format would permit laboratories to provide clinicians and public health experts with additional data to manage multidrug-resistant C. auris.


2009 ◽  
Vol 53 (6) ◽  
pp. 2557-2563 ◽  
Author(s):  
Edgie-Mark A. Co ◽  
Richard A. Dennull ◽  
Drew D. Reinbold ◽  
Norman C. Waters ◽  
Jacob D. Johnson

ABSTRACT Several drug development strategies, including optimization of new antimalarial drug combinations, have been used to counter malaria drug resistance. We evaluated the malaria Sybr green I-based fluorescence (MSF) assay for its use in in vitro drug combination sensitivity assays. Drug combinations of previously published synergistic (atovaquone and proguanil), indifferent (chloroquine and azithromycin), and antagonistic (chloroquine and atovaquone) antimalarial drug interactions were tested against Plasmodium falciparum strains D6 and W2 using the MSF assay. Fifty percent inhibitory concentrations (IC50s) were calculated for individual drugs and in fixed ratio combinations relative to their individual IC50s. Subsequent isobologram analysis and fractional inhibitory concentration determinations demonstrated the expected drug interaction pattern for each combination tested. Furthermore, we explored the ability of the MSF assay to examine mixed parasite population dynamics, which are commonly seen in malaria patient isolates. Specifically, the capacity of the MSF assay to discern between single and mixed parasite populations was determined. To simulate mixed infections in vitro, fixed ratios of D6 and W2 strains were cocultured with antimalarial drugs and IC50s were determined using the MSF assay. Dichotomous concentration curves indicated that the sensitive and resistant parasites composing the genetically heterogeneous population were detectable. Biphasic analysis was performed to obtain subpopulation IC50s for comparison to those obtained for the individual malaria strains alone. In conclusion, the MSF assay allows for reliable antimalarial drug combination screening and provides an important method to discern between homogenous and heterogeneous parasite populations.


2015 ◽  
Vol 59 (4) ◽  
pp. 2443-2445 ◽  
Author(s):  
Kevin Pettus ◽  
Samera Sharpe ◽  
John R. Papp

ABSTRACTThe development of resistance to first-line antimicrobial therapies has led to recommendations for combination therapies for the treatment of gonorrhea infection. Recent studies have shown the success of combination therapies in treating patients, but few have reported on thein vitroactivities of these drug combinations. Anin vitroassessment of azithromycin in combination with gentamicin demonstrated inhibition of growth and suggests that clinical trials may be warranted to assess the utility of this combination in treating gonorrhea infections.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 5171-5171 ◽  
Author(s):  
Shuhong Zhang ◽  
Xiaojing Wang ◽  
Li Chen ◽  
Jing Liang ◽  
Attaya Suvannasankha ◽  
...  

Abstract Bendamustine is a purine analogue/alkylator hybrid that has shown potent clinical activity against several human cancer cells including non-Hodgkin’s lymphoma (NHL) and multiple myeloma (MM). In combination with corticosteroids, bendamustine was superior to melphalan in newly diagnosed patients with MM (Ponisch et al. J Cancer Res Clin Oncol, 2006; 132:205–12). In addition, the combination of doxil and bortezomib had been shown to be an effective regimen in MM (Orlowski et al. J Clin Oncol2007; 25:3892–901). However, published data has shown that the combination of bendamustine with doxorubicin (or mitoxantrone) is antagonistic in lymphoma cells in vitro (Chow et al. Haematologica2001; 86:485–93), discouraging the investigation of bendamustine/doxorubicin combination therapy in MM. Here we investigate the in vitro effects of bendamustine (B) in combination with doxorubicin (D) and bortezomib (V) in MM cells. H929 and MM1R myeloma cell lines were cultured in vitro and cellular cytotoxicity was measured by MTS ([3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium, inner salt) assay. The effect of the combination in terms of additive, antagonistic, or synergistic activity was assessed by Valeriote and Lin’s method (Valeriote and Lin, Cancer Chemother Rep1975; 59:895–900). In repeated experiments, bendamustine alone induced MM cell death in a time and dose-dependent manner, with a bendamustine concentration that was lethal to 50% of cells (LC50) after 48 hours of 34.9± 3.4 μg/ml. Further, when combined with doxorubicin, bendamustine showed no antagonistic effect when cells were exposed to drug for 48 hours. The measured cell survival for the combination of B+D was similar to the calculated expected cell survival based on individual drug activity, indicating an additive effect (Figure 1). In addition, bendamustine showed an additive effect when combined with bortezomib, and as previously shown doxorubicin and bortezomib were synergistic (Figure 1). To test the effect of the combination of all three drugs, cells were cultured with bendamustine (15μg/ml) and doxorubicin (0.03μg/ml) for 48 hours, and bortezomib (2.5nmol/L) was added in the last 24 hours, and cytotoxicity was assayed. The expected cell survival for the combination of B+(D+V) is lower than the product of the effects of B and D+V (Figure 1), indicating a synergistic effect of bendamustine when combined with doxorubicin and bortezomib. These results provide pre-clinical rationale for clinically testing the efficacy of combining bendamustine with the established combination of doxil and bortezomib, which may be a highly effective regimen in the treatment for MM. Figure 1: Representative experiment showing synergistic cytotoxic activity of bendamustine when combined with doxorubicin and bortezomib in H929 cells. B, 15μg/ml bendamustine; D, 0.03μg/ml doxorubicin; V, 2.5nmol/L bortezomib; B+D, 15μg/ml bendamustine and 0.03μg/ml doxorubicin; B+V, 15μg/ml bendamustine and 2.5nmol/L bortezomib; D+V, 0.03μg/ml doxorubicin and 2.5nmol/L bortezomib; B+D+V, the combination of 15μg/ml bendamustine with 0.03μg/ml doxorubicin and 2.5nmol/L bortezomib. Synergy of the drug combination was defined when the measured cell survival was lower than the product of the effect of each single drug. Figure 1:. Representative experiment showing synergistic cytotoxic activity of bendamustine when combined with doxorubicin and bortezomib in H929 cells. B, 15μg/ml bendamustine; D, 0.03μg/ml doxorubicin; V, 2.5nmol/L bortezomib; B+D, 15μg/ml bendamustine and 0.03μg/ml doxorubicin; B+V, 15μg/ml bendamustine and 2.5nmol/L bortezomib; D+V, 0.03μg/ml doxorubicin and 2.5nmol/L bortezomib; B+D+V, the combination of 15μg/ml bendamustine with 0.03μg/ml doxorubicin and 2.5nmol/L bortezomib. Synergy of the drug combination was defined when the measured cell survival was lower than the product of the effect of each single drug.


2019 ◽  
Author(s):  
Brittany O’Brien ◽  
Sudha Chaturvedi ◽  
Vishnu Chaturvedi

AbstractSince 2016, New York hospitals and healthcare facilities have faced an unprecedented outbreak of pathogenic yeast Candida auris. We tested over one thousand C. auris isolates from affected facilities and found high-resistance to fluconazole (FLC, MIC50>256 mg/L), and variable resistance to other antifungal drugs. Therefore, we evaluated if two-drug combinations are effective in vitro against multidrug-resistant C. auris. Broth micro-dilution (BMD) plates were custom-designed, and quality controlled by TREK Diagnostic System. We used MIC100 endpoints for the drug combination readings as reported earlier for the intra- and inter-laboratory agreements against Candida species and Aspergillus fumigatus. The study results were derived from 12,960 MIC100 readings, for fifteen C. auris isolates tested against 864 possible two-drug antifungal combinations for nine antifungal drugs. Flucytosine (5FC) at 1.0 mg/L potentiated the most successful combinations with other drugs. Micafungin (MFG), Anidulafungin (AFG), Caspofungin (CAS) at individual concentrations of 0.25 mg/L in combination with 5FC (1.0 mg/L) yielded MIC100 for 14, 13, and 12 of 15 C. auris test isolates. AMB / 5FC (0.25/1.0 mg/L) yielded MIC100 for 13 isolates. None of the combinations were effective for C. auris 18-1, which tested resistant against FLC and 5FC, except POS/5FC (0.12/1.0 mg/L). The simplified two-drug combination susceptibility test format would permit laboratories to provide clinicians and public health experts with additional data to deal with multidrug-resistant C. auris.


2020 ◽  
Author(s):  
Haiyang Yang ◽  
Chen Mei ◽  
Li Ye ◽  
Yanling Ren ◽  
Hua Zhang ◽  
...  

Abstract BackgroundTigecycline (TIG) is a tetracycline derivative antibiotic. Successive studies have shown that TIG is efficacious for the treatment of some solid tumors and hematological malignant diseases both in vivo and in vitro, and drug combinations appear to provide better inhibition. To explore new drug combinations for myeloid leukemia, we compared the differential combination efficacy of TIG with several anti-leukemia drugs, and explored the mechanisms of the combination of TIG and homoharringtonine (HHT) in myeloid leukemia cells both in vitro and in vivo.MethodsCell proliferation was assessed using MTS (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyph-enyl)-2-(4-sulfophenyl)-2H-tetrazolium) and CFU-GM (colony forming unit-granulocyte and macrophage) assays. Apoptosis was detected by flow cytometry. The combination of effects was confirmed in myeloid leukemia cells and tumor-bearing mouse model. The regulation of the AKT/mTOR (mammalian target of rapamycin)/4EBP1 (eukaryotic translation initiation factor 4E binding protein 1) pathway was assessed using a Western blot and immunohistochemistry.ResultsThe combination of TIG and HHT had a strong synergistic effect in myeloid leukemia cells. The use of the drug combination in vivo also effectively delayed myeloid tumor development in mice. The synergistic effect of this drug combination is likely to be achieved by inhibiting mitochondrial translation and down-regulating the AKT/mTOR/4EBP1 signaling pathway. Conclusion: The combination of TIG and HHT can synergistically enhance an anti-leukemia effect through downregulating anti-apoptotic proteins. Inhibiting mitochondrial translation through the AKT/mTOR/4EBP1 pathway might be an important mechanism.


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