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Article: An application of a Hill-based response surface model for a drug combination experiment on lung cancer

TitleAn application of a Hill-based response surface model for a drug combination experiment on lung cancer
Authors
KeywordsDrug interaction
Factorial design
Response surface model
Hill model
Drug combination
Issue Date2014
Citation
Statistics in Medicine, 2014, v. 33, n. 24, p. 4227-4236 How to Cite?
Abstract© 2014 JohnWiley and Sons, Ltd. Combination chemotherapy with multiple drugs has been widely applied to cancer treatment owing to enhanced efficacy and reduced drug resistance. For drug combination experiment analysis, response surface modeling has been commonly adopted. In this paper, we introduce a Hill-based global response surface model and provide an application of the model to a 512-run drug combination experiment with three chemicals, namely AG490, U0126, and indirubin-3'-monoxime (I-3-M), on lung cancer cells. The results demonstrate generally improved goodness of fit of our model from the traditional polynomial model, as well as the original Hill model on the basis of fixedratio drug combinations.We identify different dose-effect patterns between normal and cancer cells on the basis of ourmodel, which indicates the potential effectiveness of the drug combination in cancer treatment. Meanwhile, drug interactions are analyzed both qualitatively and quantitatively. The distinct interaction patterns between U0126 and I-3-M on two types of cells uncovered by the model could be a further indicator of the efficacy of the drug combination.
Persistent Identifierhttp://hdl.handle.net/10722/285748
ISSN
2023 Impact Factor: 1.8
2023 SCImago Journal Rankings: 1.348
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorNing, Shaoyang-
dc.contributor.authorXu, Hongquan-
dc.contributor.authorAl-Shyoukh, Ibrahim-
dc.contributor.authorFeng, Jiaying-
dc.contributor.authorSun, Ren-
dc.date.accessioned2020-08-18T04:56:32Z-
dc.date.available2020-08-18T04:56:32Z-
dc.date.issued2014-
dc.identifier.citationStatistics in Medicine, 2014, v. 33, n. 24, p. 4227-4236-
dc.identifier.issn0277-6715-
dc.identifier.urihttp://hdl.handle.net/10722/285748-
dc.description.abstract© 2014 JohnWiley and Sons, Ltd. Combination chemotherapy with multiple drugs has been widely applied to cancer treatment owing to enhanced efficacy and reduced drug resistance. For drug combination experiment analysis, response surface modeling has been commonly adopted. In this paper, we introduce a Hill-based global response surface model and provide an application of the model to a 512-run drug combination experiment with three chemicals, namely AG490, U0126, and indirubin-3'-monoxime (I-3-M), on lung cancer cells. The results demonstrate generally improved goodness of fit of our model from the traditional polynomial model, as well as the original Hill model on the basis of fixedratio drug combinations.We identify different dose-effect patterns between normal and cancer cells on the basis of ourmodel, which indicates the potential effectiveness of the drug combination in cancer treatment. Meanwhile, drug interactions are analyzed both qualitatively and quantitatively. The distinct interaction patterns between U0126 and I-3-M on two types of cells uncovered by the model could be a further indicator of the efficacy of the drug combination.-
dc.languageeng-
dc.relation.ispartofStatistics in Medicine-
dc.subjectDrug interaction-
dc.subjectFactorial design-
dc.subjectResponse surface model-
dc.subjectHill model-
dc.subjectDrug combination-
dc.titleAn application of a Hill-based response surface model for a drug combination experiment on lung cancer-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1002/sim.6229-
dc.identifier.pmid24942112-
dc.identifier.pmcidPMC4230824-
dc.identifier.scopuseid_2-s2.0-84908069797-
dc.identifier.volume33-
dc.identifier.issue24-
dc.identifier.spage4227-
dc.identifier.epage4236-
dc.identifier.eissn1097-0258-
dc.identifier.isiWOS:000342897400006-
dc.identifier.issnl0277-6715-

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