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Transcript
Pharmacology as a tool to dose
individualize cancer therapy
Mark J. Ratain, M.D.
University of Chicago
1st International Workshop on Dose
Optimization Strategies for Targeted Drugs –
Focus on Oncolytics
Zaandam, Netherlands
March 23, 2015
J Clin Oncol, 1998
J Clin Oncol, 1998
Dose optimization
1. What is the optimal starting (labeled) dose for
the indicated population?
2. What is the optimal starting dose for the
individual, as determined by that patient’s
pretreatment characteristics?
3. What is the optimal dose for the individual, as
based on pharmacologic response to the
previous doses?
Dose optimization
1. What is the optimal starting (labeled)
dose for the indicated population?
– Historically, the optimal starting dose
was the maximal safe dose, usually as
determined in phase 1 studies
• <1/3 of patients with DLT
Overall survival by treatment arm.
Eric P. Winer et al. JCO 2004;22:2061-2068
©2004 by American Society of Clinical Oncology
Time to tumor progression for renal cell carcinoma patients in the 25-, 75-, and 250-mg CCI779 dose groups. mos, months.
Michael B. Atkins et al. JCO 2004;22:909-918
©2004 by American Society of Clinical Oncology
Take home message: The optimal dose cannot be
ascertained in phase 1, and the objective should be to
define a range of phase 2 doses.
The example of cabozantinib
Dose optimization
2. What is the optimal starting dose for the
individual, as determined by that patient’s
pretreatment characteristics?
–
–
–
–
Body size
Genotype
Organ function
Other drugs
Capecitabine label implies
precise dosing is necessary
Defining the optimal dose for
an individual
• One can readily identify covariates
associated with pharmacokinetic
variability
• But dose optimization requires an
understanding of the relationship of
exposure to safety and efficacy
Metabolism of Irinotecan (CPT-11)
N
N O
O
N
N
CE
HO
N
O
O
HO
C 2H 5 O
CPT-11
CYP3A4
O
N
O
HO
C 2H 5 O
HO
SN-38
UGT1A1
COOH
O
O
HO
N
H
N
O
N O
O
N
N O
O
HO
C2H 5 O
APC
O
N
OH
O
HO
C 2H 5 O
SN-38G
0302_Irinotecan (CPT-11)
Variation (Indel) at the UGT1A1 Promoter
1A12p
1A11p
1A8
1A10
1A13p
1A9
1A7
1A6
1A5
1A4
1A3
1A2p
1A1
234
5
(TA) nTAA
n=6
98 bp
n=7
100 bp
Bosma, NEJM, 1995
Monaghan, Lancet, 1996
Neutropenia (q3 wk schedule) is Correlated
with UGT1A1 Genotype (*28)
ANC nadir (cells/ul)
(Innocenti et al, JCO, 2004)
7500
5000
No Gr 4
neutropenia
2500
50% incidence
of Gr 4 neutropenia
0
5/6
6/6 6/7 6/8 7/7
UGT1A1 genotype
7/8
Bar represents median values.
Nonparametric trend analysis among 6/6, 6/7, 7/7, p<0.01
®
Camptosar
Revised
label
th
(effective June 7 , 2005)
Optimal dosing of irinotecan
• UGT1A1 genotype identifies patients at
increased risk of neutropenia at standard
doses.
• The relationship of irinotecan and/or SN38 exposure to efficacy is uncertain.
• Therefore, genotyping does not allow
identification of an optimal dose.
Dose optimization
3. What is the optimal dose for the
individual, as based on pharmacologic
response to the previous doses?
– Plasma concentrations
– Toxicity biomarkers
– Efficacy biomarkers
Could TDM be beneficial for
modern oncology drugs?
• Requires knowledge of concentrationresponse relationship
– Efficacy
– Toxicity
• Requires interpatient variability >>
intrapatient variability
– Requires pharmacokinetic studies over
duration of anticipated use
Intraindividual variability of
antiretrovirals
(Nettles, Clin Inf Dis, 2006)
•
•
•
•
Lopinavir/ritonavir 24-92%
Nelfinavir/M8 metabolite 30-54%
Ritonavir 34-43%
Saquinavir 52-55%
32% of patients had serial liver biopsies!!
Herold C I et al. Clin Cancer Res 2011;17:6061-6070
©2011 by American Association for Cancer Research
But the dasatinib plasma
concentration was never measured!
Conclusions
• There are many opportunities for dose
optimization in oncology, both at the
population and individual patient levels
• Oncology drug development needs to
shift away from conventional paradigms
(e.g., single dose phase 2 studies) and
incorporate modern pharmacometric
approaches