Literature DB >> 25056390

Assessment of tumor growth inhibition metrics to predict overall survival.

L Claret1, R Bruno1.   

Abstract

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Year:  2014        PMID： 25056390     DOI： 10.1038/clpt.2014.112

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN： 0009-9236            Impact factor:   6.875


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  6 in total

Review 1.  Array of translational systems pharmacodynamic models of anti-cancer drugs.

Authors:  Sihem Ait-Oudhia; Donald E Mager
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-10-22       Impact factor: 2.745

Review 2.  Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success.

Authors:  Thomas E Yankeelov; Gary An; Oliver Saut; E Georg Luebeck; Aleksander S Popel; Benjamin Ribba; Paolo Vicini; Xiaobo Zhou; Jared A Weis; Kaiming Ye; Guy M Genin
Journal:  Ann Biomed Eng       Date:  2016-07-06       Impact factor: 3.934

3.  Preclinical Modeling of Tumor Growth and Angiogenesis Inhibition to Describe Pazopanib Clinical Effects in Renal Cell Carcinoma.

Authors:  A Ouerdani; H Struemper; A B Suttle; D Ouellet; B Ribba
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-11-03

4.  Modeling and simulation of maintenance treatment in first-line non-small cell lung cancer with external validation.

Authors:  Kelong Han; Laurent Claret; Alan Sandler; Asha Das; Jin Jin; Rene Bruno
Journal:  BMC Cancer       Date:  2016-07-13       Impact factor: 4.430

Review 5.  Tumor Growth Dynamic Modeling in Oncology Drug Development and Regulatory Approval: Past, Present, and Future Opportunities.

Authors:  Nidal Al-Huniti; Yan Feng; Jingyu Jerry Yu; Zheng Lu; Mario Nagase; Diansong Zhou; Jennifer Sheng
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-07-22

6.  In silico mouse study identifies tumour growth kinetics as biomarkers for the outcome of anti-angiogenic treatment.

Authors:  Qianhui Wu; Alyssa D Arnheim; Stacey D Finley
Journal:  J R Soc Interface       Date:  2018-08       Impact factor: 4.118
  6 in total

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