A statistical model for in-vitro assessment of patient sensitivity to cytotoxic drugs. 1991

S Minkin
Division of Epidemiology and Statistics, Ontario Cancer Institute, Toronto, Canada.

Formation of colonies in semisolid medium is an assay used for the study of stem cell characteristics in hematopoietic and solid tumors. Previous experience with leukemia patients failed to show an association between the reduction in colony formation observed when patient blast cells were exposed to increased concentrations of an anticancer agent, and the subsequent patient response to the agent. By introducing a model that takes into account the possibility of a resistant subpopulation of clonogenic cells, the paper demonstrates that the null result was due to an inadequate summarization of the dose-response curve, and in fact a statistically and biologically significant association exists between one of the parameters of the model and patient response. The properties, implementation, and interpretation of the model are discussed.

UI MeSH Term Description Entries
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D009010 Monte Carlo Method In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993) Method, Monte Carlo
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D004305 Dose-Response Relationship, Drug The relationship between the dose of an administered drug and the response of the organism to the drug. Dose Response Relationship, Drug,Dose-Response Relationships, Drug,Drug Dose-Response Relationship,Drug Dose-Response Relationships,Relationship, Drug Dose-Response,Relationships, Drug Dose-Response
D004351 Drug Resistance Diminished or failed response of an organism, disease or tissue to the intended effectiveness of a chemical or drug. It should be differentiated from DRUG TOLERANCE which is the progressive diminution of the susceptibility of a human or animal to the effects of a drug, as a result of continued administration. Resistance, Drug
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D001699 Biometry The use of statistical and mathematical methods to analyze biological observations and phenomena. Biometric Analysis,Biometrics,Analyses, Biometric,Analysis, Biometric,Biometric Analyses
D014410 Tumor Stem Cell Assay A cytologic technique for measuring the functional capacity of tumor stem cells by assaying their activity. It is used primarily for the in vitro testing of antineoplastic agents. Clonogenic Cell Assay, Tumor,Colony-Forming Units Assay, Tumor,Neoplasm Stem Cell Assay,Stem Cell Assay, Tumor,Colony Forming Units Assay, Tumor
D015233 Models, Statistical Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc. Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model
D015470 Leukemia, Myeloid, Acute Clonal expansion of myeloid blasts in bone marrow, blood, and other tissue. Myeloid leukemias develop from changes in cells that normally produce NEUTROPHILS; BASOPHILS; EOSINOPHILS; and MONOCYTES. Leukemia, Myelogenous, Acute,Leukemia, Nonlymphocytic, Acute,Myeloid Leukemia, Acute,Nonlymphocytic Leukemia, Acute,ANLL,Acute Myelogenous Leukemia,Acute Myeloid Leukemia,Acute Myeloid Leukemia with Maturation,Acute Myeloid Leukemia without Maturation,Leukemia, Acute Myelogenous,Leukemia, Acute Myeloid,Leukemia, Myeloblastic, Acute,Leukemia, Myelocytic, Acute,Leukemia, Myeloid, Acute, M1,Leukemia, Myeloid, Acute, M2,Leukemia, Nonlymphoblastic, Acute,Myeloblastic Leukemia, Acute,Myelocytic Leukemia, Acute,Myelogenous Leukemia, Acute,Myeloid Leukemia, Acute, M1,Myeloid Leukemia, Acute, M2,Nonlymphoblastic Leukemia, Acute,Acute Myeloblastic Leukemia,Acute Myeloblastic Leukemias,Acute Myelocytic Leukemia,Acute Myelocytic Leukemias,Acute Myelogenous Leukemias,Acute Myeloid Leukemias,Acute Nonlymphoblastic Leukemia,Acute Nonlymphoblastic Leukemias,Acute Nonlymphocytic Leukemia,Acute Nonlymphocytic Leukemias,Leukemia, Acute Myeloblastic,Leukemia, Acute Myelocytic,Leukemia, Acute Nonlymphoblastic,Leukemia, Acute Nonlymphocytic,Leukemias, Acute Myeloblastic,Leukemias, Acute Myelocytic,Leukemias, Acute Myelogenous,Leukemias, Acute Myeloid,Leukemias, Acute Nonlymphoblastic,Leukemias, Acute Nonlymphocytic,Myeloblastic Leukemias, Acute,Myelocytic Leukemias, Acute,Myelogenous Leukemias, Acute,Myeloid Leukemias, Acute,Nonlymphoblastic Leukemias, Acute,Nonlymphocytic Leukemias, Acute

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