Introduction
Precision oncology approaches have enabled matching of the best
available anticancer drug to each individual patient’s particular tumor
type. Nevertheless, treatment even with such targeted agents is often
short-lived or unsuccessful. One factor that may significantly
contribute to failure of treatment, despite successful selection of the
correct drug, is the failure to select the correct drug dose.
Oral small molecule anticancer drugs are typically prescribed at fixed
drug doses regardless of patient weight, age, or gender. Differences in
bioavailability, metabolism, and adherence further increase
pharmacokinetic (PK) variability from patient to patient. This means
that, despite being prescribed the same dose of the drug, individual
patients may have significant differences in the resultant blood drug
levels (i.e. drug exposure), with some being under-dosed and
others over-dosed.
One efficient way to optimize drug dosing is through therapeutic drug
monitoring (TDM) of patient blood drug levels. TDM is most effective for
the subset of drugs for which the inter-patient variation in systemic
drug exposure (e.g. blood drug levels) is high relative to the
therapeutic index (concentration range of adequate efficacy and minimal
toxicity), and for which the exposure is strongly correlated with
clinical response. For such drugs, a flat-fixed dose will be optimal for
only a fraction of patients. Numerous oral small molecule anticancer
drugs that are already in clinical use have been shown to exhibit such
high inter-patient PK variabilities and strong
pharmacokinetics-pharmacodynamics (PK-PD) relationships, and seem to be
strong candidates for benefiting from TDM as described in several
excellent reviews on this subject.1–5
Candidate drugs for TDM can be actively identified throughout various
phases of drug development, which includes the post-marketing phase. For
newly approved drugs and those in clinical development, critical
analysis of PK and PD data may provide clues to potential benefits of
dose individualization. PK and PD data is typically available for every
anticancer drug on the market or in late phases of clinical development,
but the type of analysis of this data for the purpose of further drug
development differs widely from company to company. Regulatory
authorities usually only require non-compartmental analysis of PK data,
and the relationships with therapeutic and adverse drug effects are
often explored only with correlative analysis. Alternatively, PK and
PKPD modeling and simulation can provide additional insights into the
often complex relationship between dose and effects and, in fact, there
are several efforts from the regulatory authorities to encourage the use
of modeling and simulation in drug development.6,7Consequently, the results from such additional analyses can be quite
useful for selection of optimal dose regimens for further clinical
studies, identification of candidates for TDM and, ultimately, for
patient care.
Drug dosing regimens are typically established during early phase trials
involving a small number of participants, with dosing decisions based on
population level data rather than individual level data. Late phase
trials often do not even include a PK component, which in the context of
establishing dosing for optimal drug exposure may be a missed
opportunity. Compared to early phase trials, phase 3 studies are usually
much larger and longer (involving hundreds to thousands of participants
over months to years), and are therefore better suited for accurate
characterization of inter- and intra-patient PK variability as well as
for determination of the relationships between systemic exposure,
relevant clinical outcome parameters, and side effects. The PK and PD
results that could be obtained in such studies (e.g. PK
variability and exposure-efficacy/toxicity relationships) would inform
the need for optimization and perhaps individualization of drug dosing
for subsequent studies and for patient care.
This article discusses some important considerations for evaluating the
utility of TDM for new oral anticancer drugs during clinical trials as
well as during patient care. Similar to other types of clinical
interventions, studies evaluating TDM of oral small molecule oncology
drugs are likely to progress through several stages of increasing
complexity, with additional levels of evidence in support of the
intervention being gathered at each stage. To help conceptualize this
progression as it relates to TDM of oral small molecule oncology drugs,
we have subjectively categorized it into four stages (Figure 1) that are
detailed in the following sections. We first focus on measuring systemic
drug exposure to assess inter- and intra-patient PK variability,
followed by correlating drug exposure to efficacy and toxicity, then
evaluating whether TDM can effectively optimize drug exposure, and
finally testing whether the implementation of TDM-guided precision
dosing, i.e. adjusting an individual’s drug dose based on
measured blood drug concentrations, might improve clinical outcomes
indeed.