Phase I studies with biological response modifiers (BRM)

1993 ◽  
Vol 29 ◽  
pp. S35
Author(s):  
J. Wagstaff
2013 ◽  
Vol 7 (1) ◽  
pp. 5 ◽  
Author(s):  
Matilde Saggese ◽  
Divyanshu Dua ◽  
Emily Simmons ◽  
Charlotte Lemech ◽  
Hendrik-Tobias Arkenau

The Personalized Medicine approach in oncology is a direct result of an improved understanding of complex tumor biology and advances in diagnostic technologies. In recent years, there has been an increased demand for archival and fresh tumor analysis in early clinical trials to foster proof-of-concept biomarker development, to understand resistance mechanisms, and ultimately to assess biological response. Although phase I studies are aimed at defining drug safety, pharmacokinetics, and to recommend a phase II dose for further testing, there is now increasing evidence of mandatory tumor biopsies even at the earliest dose-finding stages of drug development. The increasing demand for fresh tumor biopsies adds to the complexity of novel phase I studies and results in different challenges, ranging from logistical support to ethical concerns. This paper investigates key issues, including patients’ perceptions of research biopsies, the need for accurate informed consent, and alternative strategies that may guide the drug development process.


2013 ◽  
pp. e5 ◽  
Author(s):  
Matilde Saggese ◽  
Divyanshu Dua ◽  
Emily Simmons ◽  
Charlotte Lemech ◽  
Hendrik-Tobias Arkenau

The Personalized Medicine approach in oncology is a direct result of an improved understanding of complex tumor biology and advances in diagnostic technologies. In recent years, there has been an increased demand for archival and fresh tumor analysis in early clinical trials to foster proof-of-concept biomarker development, to understand resistance mechanisms, and ultimately to assess biological response. Although phase I studies are aimed at defining drug safety, pharmacokinetics, and to recommend a phase II dose for further testing, there is now increasing evidence of mandatory tumor biopsies even at the earliest dose-finding stages of drug development. The increasing demand for fresh tumor biopsies adds to the complexity of novel phase I studies and results in different challenges, ranging from logistical support to ethical concerns. This paper investigates key issues, including patients’ perceptions of research biopsies, the need for accurate informed consent, and alternative strategies that may guide the drug development process.


1993 ◽  
Vol 55 (1) ◽  
pp. 43-46
Author(s):  
Jun YOSHIDA ◽  
Juichiro NAKAYAMA ◽  
Nobuyuki SHIMIZU ◽  
Shonosuke NAGAE ◽  
Yoshiaki HORI

Author(s):  
Neha Mehta‐Shah ◽  
Matthew A. Lunning ◽  
Alison J. Moskowitz ◽  
Adam M. Boruchov ◽  
Jia Ruan ◽  
...  

2002 ◽  
Vol 19 (4) ◽  
pp. 255-260 ◽  
Author(s):  
Masahiko Shibata ◽  
Takeshi Nezu ◽  
Shigeru Fujisaki ◽  
Katsuyuki Andou ◽  
Ryouichi Tomita ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Georg Ferber ◽  
Ulrike Lorch ◽  
Jörg Täubel

Concentration-effect (CE) models applied to early clinical QT data from healthy subjects are described in the latest E14 Q&A document as promising analysis to characterise QTc prolongation. The challenges faced if one attempts to replace a TQT study by thorough ECG assessments in Phase I based on CE models are the assurance to obtain sufficient power and the establishment of a substitute for the positive control to show assay sensitivity providing protection against false negatives. To demonstrate that CE models in small studies can reliably predict the absence of an effect on QTc, we investigated the role of some key design features in the power of the analysis. Specifically, the form of the CE model, inclusion of subjects on placebo, and sparse sampling on the performance and power of this analysis were investigated. In this study, the simulations conducted by subsampling subjects from 3 different TQT studies showed that CE model with a treatment effect can be used to exclude small QTc effects. The number of placebo subjects was also shown to increase the power to detect an inactive drug preventing false positives while an effect can be underestimated if time points aroundtmaxare missed.


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