Literature DB >> 25056389

The use of model-based tumor-size metrics to predict survival.

B Ribba1, N Holford2, F Mentré3.   

Abstract

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Year:  2014        PMID： 25056389     DOI： 10.1038/clpt.2014.111

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


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  10 in total

Review 1.  Bringing Model-Based Prediction to Oncology Clinical Practice: A Review of Pharmacometrics Principles and Applications.

Authors:  Núria Buil-Bruna; José-María López-Picazo; Salvador Martín-Algarra; Iñaki F Trocóniz
Journal:  Oncologist       Date:  2015-12-14

Review 2.  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

3.  Nonlinear Mixed-effect Models for Prostate-specific Antigen Kinetics and Link with Survival in the Context of Metastatic Prostate Cancer: A Comparison by Simulation of Two-stage and Joint Approaches.

Authors:  Solène Desmée; France Mentré; Christine Veyrat-Follet; Jérémie Guedj
Journal:  AAPS J       Date:  2015-03-05       Impact factor: 4.009

4.  Models for change in tumour size, appearance of new lesions and survival probability in patients with advanced epithelial ovarian cancer.

Authors:  Chiara Zecchin; Ivelina Gueorguieva; Nathan H Enas; Lena E Friberg
Journal:  Br J Clin Pharmacol       Date:  2016-06-08       Impact factor: 4.335

5.  Predicting survival of pancreatic cancer patients treated with gemcitabine using longitudinal tumour size data.

Authors:  Thierry Wendling; Hitesh Mistry; Kayode Ogungbenro; Leon Aarons
Journal:  Cancer Chemother Pharmacol       Date:  2016-03-03       Impact factor: 3.333

6.  A Pharmacometric Framework for Axitinib Exposure, Efficacy, and Safety in Metastatic Renal Cell Carcinoma Patients.

Authors:  E Schindler; M A Amantea; M O Karlsson; L E Friberg
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-05-26

7.  Developing Exposure/Response Models for Anticancer Drug Treatment: Special Considerations.

Authors:  D R Mould; A-C Walz; T Lave; J P Gibbs; B Frame
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-01-21

8.  PK-PD modeling of individual lesion FDG-PET response to predict overall survival in patients with sunitinib-treated gastrointestinal stromal tumor.

Authors:  E Schindler; M A Amantea; M O Karlsson; L E Friberg
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-03-16

9.  Exposure-Response Analysis of Necitumumab Efficacy in Squamous Non-Small Cell Lung Cancer Patients.

Authors:  E Chigutsa; A J Long; J E Wallin
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-07-13

10.  Machine Learning Analysis of Individual Tumor Lesions in Four Metastatic Colorectal Cancer Clinical Studies: Linking Tumor Heterogeneity to Overall Survival.

Authors:  Diego Vera-Yunca; Pascal Girard; Zinnia P Parra-Guillen; Alain Munafo; Iñaki F Trocóniz; Nadia Terranova
Journal:  AAPS J       Date:  2020-03-16       Impact factor: 4.009
  10 in total

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