title: Display and analysis of patterns of differential activity of drugs against human tumor cell lines: development of mean graph and COMPARE algorithm.
abstract: The objective of this study was to develop and investigate an approach to optimally detect, rank, display, and analyze patterns of differential growth inhibition among cultured cell lines. Such patterns of cellular responsiveness are produced by substances tested in vitro against disease-oriented panels of human tumor cell lines in a new anticancer screening model under development by the National Cancer Institute. In the first phase of the study, we developed a key methodological tool, the mean graph, which allowed the transformation of the numerical cell line response data into graphic patterns. These patterns were particularly expressive of differential cell growth inhibition and were conveniently amenable to further analyses by an algorithm we devised and implemented in the COMPARE computer program.
authors.affiliation: Division of Cancer Treatment, National Cancer Institute, Bethesda, MD 20892.
authors.forename: K D
authors.initials: KD
authors.lastname: Paull
authors.forename: R H
authors.initials: RH
authors.lastname: Shoemaker
authors.forename: L
authors.initials: L
authors.lastname: Hodes
authors.forename: A
authors.initials: A
authors.lastname: Monks
authors.forename: D A
authors.initials: DA
authors.lastname: Scudiero
authors.forename: L
authors.initials: L
authors.lastname: Rubinstein
authors.forename: J
authors.initials: J
authors.lastname: Plowman
authors.forename: M R
authors.initials: MR
authors.lastname: Boyd
mesh_terms: D000970:Antineoplastic Agents / Q000494:pharmacology*; D002455:Cell Division / Q000187:drug effects; D002460:Cell Line; D003626:Data Display; D004353:Drug Evaluation, Preclinical / Q000379:methods; D006801:Humans; D013223:Statistics as Topic; D014407:Tumor Cells, Cultured / Q000187:drug effects*
chemical_list: D000970:Antineoplastic Agents