Literature DB >> 22910440

Simulations using a drug-disease modeling framework and phase II data predict phase III survival outcome in first-line non-small-cell lung cancer.

L Claret1, J-F Lu, R Bruno, C-P Hsu, Y-J Hei, Y-N Sun.   

Abstract

Simulations were performed for carboplatin/paclitaxel (C/P) plus motesanib or bevacizumab vs. C/P as first-line treatment for advanced non-small-cell lung cancer (NSCLC) using a published drug-disease model. With 700 patients in each arm, simulated hazard ratios for motesanib (0.87; 95% confidence interval [CI], 0.71-1.1) and bevacizumab (0.89; 95% CI, 0.73-1.1) agreed with results from the respective phase III studies but did not discriminate between failed and successful studies. The current model may require further enhancement to improve its utility for predicting phase III outcomes.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22910440     DOI: 10.1038/clpt.2012.78

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


  14 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.  Model-based clinical drug development in the past, present and future: a commentary.

Authors:  Holly Kimko; José Pinheiro
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

3.  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

4.  Modeling NSCLC progression: recent advances and opportunities available.

Authors:  Ahmed Abbas Suleiman; Lucia Nogova; Uwe Fuhr
Journal:  AAPS J       Date:  2013-02-13       Impact factor: 4.009

5.  Improving lung cancer survival; time to move on.

Authors:  Marlies E Heuvers; Joost P Hegmans; Bruno H Stricker; Joachim G Aerts
Journal:  BMC Pulm Med       Date:  2012-12-13       Impact factor: 3.317

6.  Simulations to Assess Phase II Noninferiority Trials of Different Doses of Capecitabine in Combination With Docetaxel for Metastatic Breast Cancer.

Authors:  R Bruno; L Lindbom; F Schaedeli Stark; P Chanu; F Gilberg; N Frey; L Claret
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2012-12-26

7.  Exposure-response analysis of rilotumumab in gastric cancer: the role of tumour MET expression.

Authors:  M Zhu; R Tang; S Doshi; K S Oliner; S Dubey; Y Jiang; R C Donehower; T Iveson; E Y Loh; Y Zhang
Journal:  Br J Cancer       Date:  2015-01-13       Impact factor: 7.640

8.  Estimation of renal cell carcinoma treatment effects from disease progression modeling.

Authors:  M L Maitland; K Wu; M R Sharma; Y Jin; S P Kang; W M Stadler; T G Karrison; M J Ratain; R R Bies
Journal:  Clin Pharmacol Ther       Date:  2012-12-27       Impact factor: 6.875

9.  Models of excellence: improving oncology drug development.

Authors:  M R Sharma; M L Maitland; M J Ratain
Journal:  Clin Pharmacol Ther       Date:  2012-11       Impact factor: 6.875

Review 10.  Population pharmacokinetic-pharmacodynamic modelling in oncology: a tool for predicting clinical response.

Authors:  Brendan C Bender; Emilie Schindler; Lena E Friberg
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.