Literature DB >> 30985002

Association Between Tumor Size Kinetics and Survival in Patients With Urothelial Carcinoma Treated With Atezolizumab: Implication for Patient Follow-Up.

Coralie Tardivon1, Solène Desmée2, Marion Kerioui1,2, René Bruno3, Benjamin Wu4, France Mentré1, François Mercier5, Jérémie Guedj1.   

Abstract

We characterized the association between tumor size kinetics and survival in patients with advanced urothelial carcinoma treated with atezolizumab (anti-programmed death-ligand 1, Tecentriq) using a joint model. The model, developed on data from 309 patients of a phase II clinical trial, identified the time-to-tumor growth and the instantaneous changes in tumor size as the best on-treatment predictors of survival. On the validation dataset containing data from 457 patients from a phase III study, the model predicted individual survival probability using 3-month or 6-month tumor size follow-up data with an area under the receptor-occupancy curve between 0.75 and 0.84, as compared with values comprised between 0.62 and 0.75 when the model included only information available at treatment initiation. Including tumor size kinetics in a relevant statistical framework improves the prediction of survival probability during immunotherapy treatment and may be useful to identify most-at-risk patients in "real-time."
© 2019 Inserm. Clinical Pharmacology & Therapeutics © 2019 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2019        PMID: 30985002     DOI: 10.1002/cpt.1450

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


  12 in total

1.  Bayesian Individual Dynamic Predictions with Uncertainty of Longitudinal Biomarkers and Risks of Survival Events in a Joint Modelling Framework: a Comparison Between Stan, Monolix, and NONMEM.

Authors:  François Riglet; France Mentre; Christine Veyrat-Follet; Julie Bertrand
Journal:  AAPS J       Date:  2020-02-19       Impact factor: 4.009

Review 2.  Setting the Dose of Checkpoint Inhibitors: The Role of Clinical Pharmacology.

Authors:  Etienne Chatelut; Félicien Le Louedec; Gérard Milano
Journal:  Clin Pharmacokinet       Date:  2020-03       Impact factor: 6.447

3.  Tumor growth inhibition modeling of individual lesion dynamics and interorgan variability in HER2-negative breast cancer patients treated with docetaxel.

Authors:  Sreenath M Krishnan; Sofiene S Laarif; Brendan C Bender; Angelica L Quartino; Lena E Friberg
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-05-02

4.  Joint modelling and simulation of M-protein dynamics and progression-free survival for alternative isatuximab dosing with pomalidomide/dexamethasone.

Authors:  Hoai-Thu Thai; Nadia Gaudel; Marc Cerou; Geraldine Ayral; Jean-Baptiste Fau; Bernard Sebastien; Helgi van de Velde; Dorothée Semiond; Christine Veyrat-Follet
Journal:  Br J Clin Pharmacol       Date:  2021-11-26       Impact factor: 3.716

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.  Tumor Time-Course Predicts Overall Survival in Non-Small Cell Lung Cancer Patients Treated with Atezolizumab: Dependency on Follow-Up Time.

Authors:  Ida Netterberg; René Bruno; Ya-Chi Chen; Helen Winter; Chi-Chung Li; Jin Y Jin; Lena E Friberg
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-01-28

7.  Early predictions of response and survival from a tumor dynamics model in patients with recurrent, metastatic head and neck squamous cell carcinoma treated with immunotherapy.

Authors:  Ignacio González-García; Vadryn Pierre; Vincent F S Dubois; Nassim Morsli; Stuart Spencer; Paul G Baverel; Helen Moore
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-02-13

8.  Enhanced Detection of Treatment Effects on Metastatic Colorectal Cancer with Volumetric CT Measurements for Tumor Burden Growth Rate Evaluation.

Authors:  Michael L Maitland; Julia Wilkerson; Sanja Karovic; Binsheng Zhao; Jessica Flynn; Mengxi Zhou; Patrick Hilden; Firas S Ahmed; Laurent Dercle; Chaya S Moskowitz; Ying Tang; Dana E Connors; Stacey J Adam; Gary Kelloff; Mithat Gonen; Tito Fojo; Lawrence H Schwartz; Geoffrey R Oxnard
Journal:  Clin Cancer Res       Date:  2020-09-28       Impact factor: 12.531

9.  A workflow for the joint modeling of longitudinal and event data in the development of therapeutics: Tools, statistical methods, and diagnostics.

Authors:  Kirill Zhudenkov; Sergey Gavrilov; Alina Sofronova; Oleg Stepanov; Nataliya Kudryashova; Gabriel Helmlinger; Kirill Peskov
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-02-21

10.  Comparison of Various Phase I Combination Therapy Designs in Oncology for Evaluation of Early Tumor Shrinkage Using Simulations.

Authors:  Jérémy Seurat; Pascal Girard; Kosalaram Goteti; France Mentré
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-11-05
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