Matches in SemOpenAlex for { <https://semopenalex.org/work/W2954502912> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2954502912 endingPage "4613" @default.
- W2954502912 startingPage "4613" @default.
- W2954502912 abstract "Abstract A variety of tumor models are used in preclinical oncology drug discovery, including patient-derived xenografts (PDXs), cell line-derived xenografts (CDXs), and syngeneic homografts. Tumors in mouse models exhibit heterogeneous growth patterns with or without drug treatment, which is further complicated by measurement errors. Mathematical modeling of tumor growth helps us better understand such patterns and analyze drug efficacy in transplanted tumor models. Many mathematical models have been proposed to describe tumor growth curves, each with certain assumptions and equations, suitable for specific situations or data sets1-5. It is yet unknown which models are best in fitting the growth curves for a large collection of mouse models. In this study, we systematically evaluated a set of mathematical models including exponential models, logistic and Gompertz model, biphasic models, dynamic carrying capacity model, and power law model on more than 50,000 tumor growth datasets collected from in vivo efficacy studies in PDXs, CDXs and syngeneic models. A set of metrics were used to evaluate the goodness of fit, including Akaike Information Criterion (AIC), root mean square error (RMSE), coefficient of determination, mean absolute relative error, etc. We also proposed a new composite metric to combine many criteria for easy selection of growth models. Our results show that tumor growth patterns are less complex under vehicle treatment, and different mathematical models have relatively small difference in modeling the growth curves. Tumor growth patterns are more diverse under drug treatment. Tumors may shrink or completely remit, though some may grow in the first days after inoculation before drug effect takes place. Still some tumors stop growing or even shrink before drug resistance develops and resume fast growing. Therefore, different mathematical models are needed to describe the different patterns. Finally, we present summary statistics to give an overall picture on the applicability of the mathematical models, and suggest statistical models for subsequent analysis for drug efficacy evaluation and biomarker discovery. Citation Format: Chao Zhang, Xiaoqian Jiang, Sheng Guo, Qixiang Li. Mathematical modeling of tumor growth in mouse models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4613." @default.
- W2954502912 created "2019-07-12" @default.
- W2954502912 creator A5055458864 @default.
- W2954502912 creator A5058346980 @default.
- W2954502912 creator A5089966579 @default.
- W2954502912 creator A5090810402 @default.
- W2954502912 date "2019-07-01" @default.
- W2954502912 modified "2023-09-27" @default.
- W2954502912 title "Abstract 4613: Mathematical modeling of tumor growth in mouse models" @default.
- W2954502912 doi "https://doi.org/10.1158/1538-7445.am2019-4613" @default.
- W2954502912 hasPublicationYear "2019" @default.
- W2954502912 type Work @default.
- W2954502912 sameAs 2954502912 @default.
- W2954502912 citedByCount "0" @default.
- W2954502912 crossrefType "journal-article" @default.
- W2954502912 hasAuthorship W2954502912A5055458864 @default.
- W2954502912 hasAuthorship W2954502912A5058346980 @default.
- W2954502912 hasAuthorship W2954502912A5089966579 @default.
- W2954502912 hasAuthorship W2954502912A5090810402 @default.
- W2954502912 hasBestOaLocation W29545029121 @default.
- W2954502912 hasConcept C105795698 @default.
- W2954502912 hasConcept C126674687 @default.
- W2954502912 hasConcept C132480984 @default.
- W2954502912 hasConcept C134463574 @default.
- W2954502912 hasConcept C139945424 @default.
- W2954502912 hasConcept C162324750 @default.
- W2954502912 hasConcept C176217482 @default.
- W2954502912 hasConcept C177264268 @default.
- W2954502912 hasConcept C199360897 @default.
- W2954502912 hasConcept C21547014 @default.
- W2954502912 hasConcept C2776913854 @default.
- W2954502912 hasConcept C33923547 @default.
- W2954502912 hasConcept C41008148 @default.
- W2954502912 hasConcept C76969082 @default.
- W2954502912 hasConcept C93959086 @default.
- W2954502912 hasConceptScore W2954502912C105795698 @default.
- W2954502912 hasConceptScore W2954502912C126674687 @default.
- W2954502912 hasConceptScore W2954502912C132480984 @default.
- W2954502912 hasConceptScore W2954502912C134463574 @default.
- W2954502912 hasConceptScore W2954502912C139945424 @default.
- W2954502912 hasConceptScore W2954502912C162324750 @default.
- W2954502912 hasConceptScore W2954502912C176217482 @default.
- W2954502912 hasConceptScore W2954502912C177264268 @default.
- W2954502912 hasConceptScore W2954502912C199360897 @default.
- W2954502912 hasConceptScore W2954502912C21547014 @default.
- W2954502912 hasConceptScore W2954502912C2776913854 @default.
- W2954502912 hasConceptScore W2954502912C33923547 @default.
- W2954502912 hasConceptScore W2954502912C41008148 @default.
- W2954502912 hasConceptScore W2954502912C76969082 @default.
- W2954502912 hasConceptScore W2954502912C93959086 @default.
- W2954502912 hasIssue "13_Supplement" @default.
- W2954502912 hasLocation W29545029121 @default.
- W2954502912 hasOpenAccess W2954502912 @default.
- W2954502912 hasPrimaryLocation W29545029121 @default.
- W2954502912 hasRelatedWork W1774742150 @default.
- W2954502912 hasRelatedWork W1983319969 @default.
- W2954502912 hasRelatedWork W2030240816 @default.
- W2954502912 hasRelatedWork W2736029676 @default.
- W2954502912 hasRelatedWork W2953176989 @default.
- W2954502912 hasRelatedWork W2954502912 @default.
- W2954502912 hasRelatedWork W3044900033 @default.
- W2954502912 hasRelatedWork W3210211525 @default.
- W2954502912 hasRelatedWork W4313514608 @default.
- W2954502912 hasRelatedWork W1120894264 @default.
- W2954502912 hasVolume "79" @default.
- W2954502912 isParatext "false" @default.
- W2954502912 isRetracted "false" @default.
- W2954502912 magId "2954502912" @default.
- W2954502912 workType "article" @default.