The review by Jan Buter and
Giuseppe Giaccone in this issue
of ONCOLOGY is an excellent
overview of the current status
of the anti-epidermal growth factor
receptor (EGFR) agents gefitinib(Drug information on gefitinib) (Iressa),
erlotinib (Tarceva), and cetuximab(Drug information on cetuximab)
(Erbitux). The authors address
some of the most important issues
regarding anti-EGFR agents currently in clinical development. Key among
these are the importance of patient
selection and drug dosage in the success
and failure of various clinical
trials. This article raises several very
interesting questions in the development
of this class of agents.
Why Did Erlotinib Succeed
and Gefitinib Fail in
Placebo-Controlled Trials?
As discussed in the Buter/Giaccone
article, the BR21 trial demonstrated a
significant survival advantage for erlotinib
compared to placebo as salvage
therapy in 731 advanced
non-small-cell lung cancer (NSCLC)
patients, with a median survival of
6.7 and 4.7 months for the erlotinib
and placebo groups, respectively
(P < .001).[1]
However, the similarly designed
ISEL trial, conducted with 1,692 advanced
NSCLC patients, demonstrated
a median survival of 5.6 months in
the gefitinib group and 5.1 months in
the placebo group (P = .11).[2] Why
did these two compounds that behave
similarly in preclinical models, in
single-arm clinical trials, and in randomized
trials of first-line treatment
with chemotherapy produce disparate
results in the salvage single-agent
setting?
One hypothesis is that the patient
populations enrolled in the two trials
were different in a way that affected
efficacy of the drugs. It was apparent
from the first clinical studies utilizing
gefitinib and erlotinib that certain patient
characteristics, namely female
gender, adenocarcinoma tumor histology,
nonsmoking history, and East
Asian race, predicted for better response
to the drugs.[3,4] Somatic activating
EGFR mutations were
subsequently associated with dramatic
response and survival benefits from
gefitinib and erlotinib treatment compared
to wild-type EGFR tumors;
these mutations may underlie the initial
correlation of patient characteris characteristics
with response to tyrosine kinase
inhibitors (TKIs).[5-8]
More recently, increased EGFRgene copy number has been correlated
with response to TKI treatment
and survival, though it is not yet clear
if copy number is reflective of patient
characteristics to the degree reported
with EGFRmutations.[9,10] The magnitude
of benefit from TKI treatment
to patients with varying clinical and
molecular characteristics is a topic of
much research and debate. Perhaps
the BR21 and ISEL trials had enough
differences in critical attributes between
the treatment and placebo
groups to yield different results.
Of all the clinical characteristics of
response to TKIs, nonsmoking status
appears to be the most predictive of
response to treatment and the most
predictive of harboring a mutation. In
BR21, never-smokers made up 21.3%
of the erlotinib population and 17.3%
of the placebo group. Never-smokers
derived a greater reduction in the
univariate hazard ratio of death (HR)
with erlotinib treatment (HR = 0.4, 95%
confidence interval [CI] = 0.3-0.6) than
did the overall study population (HR =
0.7, 95% CI = 0.6-0.9).[1] Among the
patients with tumor samples available,
increased gene copy number was associated
with a survival advantage with
erlotinib treatment but EGFRmutations
were not, although the mutations identified
by the BR21 group are aberrant
within the in toto literature on EGFR
mutations.[11]
In the ISEL trial, never-smokers
comprised 21% of each treatment
group and again derived a significant
and greater reduction in the univariate
hazard ratio of death with gefitinib
treatment (HR = 0.67, 95% CI =
0.49-0.91) compared to the overall
study population (HR = 0.89, 95% CI
= 0.78-1.03).[2] Analysis of EGFRmutation and gene amplification from
ISEL is not yet available, but should be
shortly. Because neither trial required
its subjects to provide tissue for molecular
analysis, analyses can only be performed
in the subset of subjects with
sufficient tissue. As a result, we cannot
fully understand the molecular characteristics
of the two trial populations and
how they may have differed.
The second hypothesis for the disparate
trial outcomes is that a doseresponse
relationship exists for TKIs
and gefitinib was not given at a sufficient
dose in the ISEL trial. The maximal
tolerated dose of gefitinib is 800
mg/d.[12] In early dose-escalation
studies, gefitinib did not exhibit a clear
increase in efficacy with increased
dose, although the toxic side effects
did increase. After two large randomized
phase II studies exploring two
dose levels, the dose of 250 mg was
recommended for future study, including
the ISEL trial.[3,4] In contrast,
the maximum tolerated dose of erlotinib
is 150 mg/d and this dose was
used in subsequent clinical studies,
including BR21.[13]
Further complicating the issue of
effective dose is the recent observation
that concomitant smoking can
change the metabolism and possibly
decrease the effectiveness of erlotinib.[
14] It may be that patients with
certain patient or molecular characteristics,
like nonsmoking status or
EGFR mutations, are especially sensitive
to TKIs and treatment dose is
not relevant to their outcome. However,
in order to observe a population
survival benefit with TKI treatment,
dosing at the maximum tolerated dose
may be required.
In addition, one must also consider
the possibility that inherent and
true differences in the effectiveness
of the drugs led to the success of BR21
and the failure of ISEL, and conversely
that the drugs are equivalent and it
was mere chance that produced different
results.
Future Directions
Epidermal growth factor receptor
TKIs, particularly erlotinib, now have
an established role in the salvage treatment
of NSCLC. But it is imperative
to apply the lessons learned about patient
and molecular characteristics and
TKIs toward future efforts to identify
subsets of NSCLC patients that can
benefit from these agents in other stages
of disease. Although both gefitinib
and erlotinib do not improve survival
when added to chemotherapy in the
first-line setting,[15-18] either TKI
alone may be an effective primary treatment in a rationally selected subpopulation.
For example, a subset analysis of
never-smokers receiving first-line chemotherapy
with or without erlotinib
in a randomized controlled trial demonstrated
an increased survival of 22.5
months with erlotinib compared to
10.1 months with placebo (P =
.01).[18] Similarly, a phase II study
of first-line gefitinib in a clinically
enriched Korean population of neversmoking
patients with metastatic adenocarcinoma
demonstrated a promising
response rate of 69% and an estimated
1-year overall survival rate of 73%.[19]
To estimate the response rate in a
molecularly defined population, a
multicenter phase II study of first-line
gefitinib for advanced NSCLC in patients
known to harbor EGFR mutations
is now under way. Additional
ongoing studies include first-line erlotinib
treatment in a population defined
by clinical characteristics, and
phase II and III clinical trials of TKIs
in combination with chemotherapy as
adjuvant and neoadjuvant therapy for
earlier-stage disease.
Conclusion
The gefitinib and erlotinib story
thus far has served to remind scientists,
clinicians, pharmaceutical companies,
and patients that we often
understand less about drugs and their
targets than we think we do. Relationships
between therapeutic agents and
heterogeneous tumor cells are complex.
With hundreds of novel targeted
agents in the developmental pipeline,
we should remember to be thoughtful
and careful in the process of translating
preclinical findings and early-phase
clinical trial findings to randomized trials.
A more thorough understanding
of the molecular mechanisms of targeted
agents and utilization of appropriate
clinical trial design may lead to a higher success rate in future randomized
trials.
With its highs and lows, the gefitinib
and erlotinib saga has energized
translational research in lung cancer.
It has inspired us to try to understand
NSCLC not as an umbrella diagnosis,
but as a collection of molecularly defined
tumors that may require different
treatment algorithms.
