2009
DOI: 10.1158/1078-0432.ccr-09-1035
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High-Throughput Cell-Based Screening of 4910 Known Drugs and Drug-like Small Molecules Identifies Disulfiram as an Inhibitor of Prostate Cancer Cell Growth

Abstract: Purpose: To identify novel therapeutic opportunities for patients with prostate cancer, we applied high-throughput screening to systematically explore most currently marketed drugs and drug-like molecules for their efficacy against a panel of prostate cancer cells. Experimental Design: We carried out a high-throughput cell-based screening with proliferation as a primary end-point using a library of 4,910 drug-like small molecule compounds in four prostate cancer (VCaP, LNCaP, DU 145, and PC-3) and two nonmalig… Show more

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Cited by 188 publications
(169 citation statements)
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References 42 publications
(39 reference statements)
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“…Clearly, such knowledge is also imperative for accurate understanding of the usefulness and limitations of commonly applied infinite cell line models to toxicity experiments [19]. Clinically oriented studies for understanding responsiveness of tumour cells to cell killing from exposure to cancer therapeutics provide useful information on the biological fates that cells also encounter from exposure to environmental agents [6,21,22]. Over-expression or knockout of oncogenes or tumour suppressor genes provides much needed information on driving forces underlying transformation, but useful to toxicology, also informs on genes critically regulating survival or killing mechanisms [23].…”
Section: Parallels Between Cancer Biology Toxicology and Alternativementioning
confidence: 99%
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“…Clearly, such knowledge is also imperative for accurate understanding of the usefulness and limitations of commonly applied infinite cell line models to toxicity experiments [19]. Clinically oriented studies for understanding responsiveness of tumour cells to cell killing from exposure to cancer therapeutics provide useful information on the biological fates that cells also encounter from exposure to environmental agents [6,21,22]. Over-expression or knockout of oncogenes or tumour suppressor genes provides much needed information on driving forces underlying transformation, but useful to toxicology, also informs on genes critically regulating survival or killing mechanisms [23].…”
Section: Parallels Between Cancer Biology Toxicology and Alternativementioning
confidence: 99%
“…Inspirational to increasing the efficiency of toxicological evaluations, pre-clinical cancer drug development includes the application of a variety of methods and technologies to pinpoint the target specificity and the absence of unwanted side effects [23]. The HTS experiments are mainly carried out to discover new and more selective cancer-associated pathways or processes [16,21]. To study pathway activation or repression caused by the drug candidates, reverse-phase protein lysate arrays (RPPA) or gene expression profiling are commonly employed thereafter [29,30].…”
Section: From Hts Of Many Agents To Genomic Profiling Analysis Of Thementioning
confidence: 99%
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“…Therefore the discovery of a CSC-targeting drug would significantly improve chemotherapy outcomes for NSCLC patients. The antialcoholism drug disulfiram (DSF) has been shown to have an anticancer effect against prostate cancer, breast cancer, brain tumours, leukaemia, cervical adenocarcinoma and NSCLC [21][22][23][24][25][26][27][28][29][30][31][32][33][34]. Furthermore, DSF has been shown to be an irreversible aldehyde dehydrogenase (ALDH) inhibitor targeting CSCs [22,[35][36].…”
Section: Introductionmentioning
confidence: 99%
“…MTT assay). In these assays, cell line(s) are tested against a broad range of drug concentrations typically for 48-72 h and the results are usually reported as a plot and the IC 50 and LC 100 (See Glossary) are calculated by interpolation (Brown, 1997;Iljin et al, 2009). For instance, in the NCI60 human tumor cell line anticancer drug screen program, the GI50 (50% growth inhibition) and LC50 (50% lethal concentration) are derived from concentrationresponse curves by linear interpolation while the TGI (total growth inhibition) is read as the x-axis intercept (Shoemaker, 2006).…”
Section: Introductionmentioning
confidence: 99%