Literature DB >> 19621009

On the use of change in tumor size to predict survival in clinical oncology studies: toward a new paradigm to design and evaluate phase II studies.

R Bruno1, L Claret.   

Abstract

Drug-independent models that link biomarker response to clinical end points are critical to support early (end of phase II) clinical decisions. In oncology, change in tumor size (a biomarker of drug effect evaluated in phase II) is linked to survival (a phase III end point) in some solid tumors. Change in tumor size can be used as a primary end point in the design and evaluation of phase II studies and in supporting go/no-go decisions and phase III study design.

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Year:  2009        PMID: 19621009     DOI: 10.1038/clpt.2009.97

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


  19 in total

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2.  Modeling the Relationship Between Exposure to Abiraterone and Prostate-Specific Antigen Dynamics in Patients with Metastatic Castration-Resistant Prostate Cancer.

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3.  Clinical trials in the era of personalized oncology.

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Journal:  CA Cancer J Clin       Date:  2011-10-27       Impact factor: 508.702

4.  Population pharmacokinetics and pharmacodynamics of BYL719, a phosphoinositide 3-kinase antagonist, in adult patients with advanced solid malignancies.

Authors:  Stefan S De Buck; Annamaria Jakab; Markus Boehm; Douglas Bootle; Dejan Juric; Cornelia Quadt; Timothy K Goggin
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5.  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

6.  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

7.  Considerations for the prediction of survival time in pancreatic cancer based on registry data.

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Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-07-12       Impact factor: 2.745

8.  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
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9.  The effectiveness of RECIST on survival in patients with NSCLC receiving chemotherapy with or without target agents as first-line treatment.

Authors:  Ting Zhou; Lie Zheng; Zhihuang Hu; Yang Zhang; Wenfeng Fang; Yuanyuan Zhao; Jieying Ge; Hongyun Zhao; Li Zhang
Journal:  Sci Rep       Date:  2015-01-08       Impact factor: 4.379

10.  A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis.

Authors:  B Ribba; N H Holford; P Magni; I Trocóniz; I Gueorguieva; P Girard; C Sarr; M Elishmereni; C Kloft; L E Friberg
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-05-07
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