Literature DB >> 27544929

Early change in tumour size predicts overall survival in patients with first-line metastatic breast cancer.

Sonya C Tate1, Valerie Andre2, Nathan Enas3, Benjamin Ribba4, Ivelina Gueorguieva5.   

Abstract

PURPOSE: Clinical trials using change in tumour size (CTS) as a primary end-point benefit from earlier evaluation of treatment effect and increased study power over progression-free survival, ultimately resulting in more timely regulatory approvals for cancer patients. In this work, a modelling framework was established to further characterise the relationship between CTS and overall survival (OS) in first-line metastatic breast cancer (mBC).
METHODS: Data from three randomised phase III trials designed to evaluate the clinical benefit of gemcitabine combination therapy in mBC patients were collated. Two drug-dependent models were developed to describe tumour growth dynamics: the first for paclitaxel/gemcitabine treatment and the second for docetaxel/gemcitabine treatment. A parametric survival model was used to characterise survival as a function of CTS and baseline patient demographics.
RESULTS: While the paclitaxel/gemcitabine model incorporated tumour shrinkage by both paclitaxel and gemcitabine with resistance to paclitaxel, the docetaxel/gemcitabine model incorporated shrinkage and resistance to docetaxel alone. Predictors for OS were CTS at week 8, baseline tumour size and ECOG performance status. Model predictions reveal that for an asymptomatic mBC patient with a 6-cm tumour burden, first-line paclitaxel/gemcitabine treatment offers a median OS of 28.6 months, compared to 26.0 months for paclitaxel alone.
CONCLUSION: A modelling framework was established, quantitatively describing the tumour growth inhibitory effects of various gemcitabine combotherapies and the effect of the resulting CTS on survival in first-line mBC. This work further supports the use of early CTS as a go/no-go decision point during phase II clinical evaluation of treatments for mBC.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Capecitabine; Docetaxel; Gemcitabine; Mathematical model; Paclitaxel; Response evaluation criteria in solid tumours; Survival analysis; Treatment outcome

Mesh:

Substances:

Year:  2016        PMID: 27544929     DOI: 10.1016/j.ejca.2016.07.009

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  7 in total

1.  Assessing the impact of the addition of dendritic cell vaccination to neoadjuvant chemotherapy in breast cancer patients: A model-based characterization approach.

Authors:  Belén P Solans; Ascensión López-Díaz de Cerio; Arlette Elizalde; Luis Javier Pina; Susana Inogés; Jaime Espinós; Esteban Salgado; Luis Daniel Mejías; Iñaki F Trocóniz; Marta Santisteban
Journal:  Br J Clin Pharmacol       Date:  2019-06-14       Impact factor: 4.335

2.  Construction of Nomograms for Predicting Pathological Complete Response and Tumor Shrinkage Size in Breast Cancer.

Authors:  Shuai Yan; Wenjie Wang; Bifa Zhu; Xixi Pan; Xiaoyan Wu; Weiyang Tao
Journal:  Cancer Manag Res       Date:  2020-09-10       Impact factor: 3.989

3.  Predicting Overall Survival and Progression-Free Survival Using Tumor Dynamics in Advanced Breast Cancer Patients.

Authors:  Hyeong-Seok Lim; Wan Sun; Kourosh Parivar; Diane Wang
Journal:  AAPS J       Date:  2019-01-30       Impact factor: 4.009

Review 4.  Drug Exposure to Establish Pharmacokinetic-Response Relationships in Oncology.

Authors:  Belén P Solans; María Jesús Garrido; Iñaki F Trocóniz
Journal:  Clin Pharmacokinet       Date:  2020-02       Impact factor: 6.447

5.  Change in non-small-cell lung cancer tumor size in patients treated with nintedanib plus docetaxel: analyses from the Phase III LUME-Lung 1 study.

Authors:  Martin Reck; Anders Mellemgaard; Silvia Novello; Pieter E Postmus; Birgit Gaschler-Markefski; Rolf Kaiser; Hannes Buchner
Journal:  Onco Targets Ther       Date:  2018-08-06       Impact factor: 4.147

6.  Population Modeling of Tumor Kinetics and Overall Survival to Identify Prognostic and Predictive Biomarkers of Efficacy for Durvalumab in Patients With Urothelial Carcinoma.

Authors:  Yanan Zheng; Rajesh Narwal; ChaoYu Jin; Paul G Baverel; Xiaoping Jin; Ashok Gupta; Yong Ben; Bing Wang; Pralay Mukhopadhyay; Brandon W Higgs; Lorin Roskos
Journal:  Clin Pharmacol Ther       Date:  2018-01-17       Impact factor: 6.875

7.  Impact of tumour size measurement inter-operator variability on model-based drug effect evaluation.

Authors:  Aurélie Lombard; Hitesh Mistry; Sonya C Chapman; Ivelina Gueoguieva; Leon Aarons; Kayode Ogungbenro
Journal:  Cancer Chemother Pharmacol       Date:  2020-03-13       Impact factor: 3.333

  7 in total

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