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U p d a t e o f t h e O x f o r d O v e r v i e w : N e wI n s i g h t a n d P e r s p e c t i v e s i n t h e E r a o f P e r s o n a l i z e d M e d i c i n e
By Kathleen I. Pritchard, MD, Jonas Bergh, MD, PhD, and Harold J. Burstein MD, PhD
Overview: There is great appreciation for the heterogeneity
of breast cancers, particularly of hormone-receptor positive
b reast can cers. A g o al o f mo d ern o n co lo gy man ag in g su ch
h etero g eneity is to d etermin e h o w to in d ivid ualize th erap y
based on the specific pathological and biological features of a
given tumor. Two distinctive clinical literatures exist to guide
treatmen t o f h o rmo n e-recepto r-p o sitive b reast can cer. T h e
Oxford Overview, a seminal meta-analysis effort, has recently
b e en u pd a te d , a n d s u gg e st s t h at n e ar l y a l l p a ti e nt s w i th
ER-positive tumors benefit from adjuvant endocrine therapy.
I n a d di t io n, t h e o v er v ie w fi nd s t h at n e ar l y a l l s u bs e ts o f
p atien ts with ER-p o sitive tu mo rs also b en efit fro m mo d ern
adjuvant chemotherapy regimens. Meanwhile, retrospective
subset analyses of specific trials or populations suggests that
t h e b e ne fi ts o f c h em ot h er a py a r e n ot s o u ni f or m , a n d i n
particular that molecular diagnostics assays can identify pa-
t i en t s w h o d o n ot w a rr a nt c h em ot h er a py . T hi s a r ti c le w i ll
highlight recent data and controversies in personalizing adju-
vant breast cancer therapy.
THE OXFORD Overview of the Early Breast Cancer
Trialists Collaborative Group (EBCTCG) dates back to
1984 when investigators responsible for trials of systemic
adjuvant systemic therapy from all around the globe met
initially, not in Oxford, but at Heathrow Airport to examine
the first meta-analysis of adjuvant systemic therapy trials.
The Overview has always involved collaboration between
the Oxford Secretariat led by Sir Richard Peto and a
consortium of investigators. A series of distinguished past
chairs have included I. Craig Henderson, MD, a prominent
breast cancer medical oncologist initially from Harvard
University and later the University of California San Fran-
cisco Helen Diller Family Comprehensive Center, and
William C. Wood, MD, then Chief of Surgery at Emory
University. The EBCTCG is currently chaired by Kathy
Pritchard, MD, of Toronto and Martine Piccart, MD, PhD,
of Brussels. The Steering Committee and Executive of the
EBCTCGboth of which include members of the Oxford
Secretariat and clinical investigators (the Trialists)exten-
sively meet, teleconference, and e-mail to bring analyses
and publications to fruition. Between 2005 and 2011,
data collection and analyses have resulted in five major
publications.1-5
The Overview concept dating back to 1984 has not
changed. Collaboration between physicians and biostatisti-
cians based in Oxford and around the world was sought,
built, and sustained. Data were initially collected from all
randomized trials of systemic adjuvant and, later, local-
regional therapy. The Overview methodology involves the
collection of individual patient data, which includes a widevariety of items such as dates of randomization and treat-
ment allocation. Patients can be stratified by age, node
status, and other criteria and the log-rank statistics from
each trial are combined to give an overall estimate of the
effect of different treatments either in the whole patient
population or in various stratified subsets.
Outcomes include recurrence, which can be adjusted to
include or exclude contralateral breast cancers and deaths.
Deaths from unknown causes are usually included with
deaths from breast cancer unless specifically stated other-
wise. Recurrences can be divided into local and/or distant
with and without contralateral breast cancers. The
EBCTCG has also been interested in collecting informationon deaths from cardiac events, stroke, and other cancers.
In 1984, the Oxford Overview showed unequivocally for
the first time that tamoxifen improved survival and that
cyclophosphamide, methotrexate, and 5-fluorouracil (CMF)
chemotherapy improved survival. It was also shown that
ovarian ablation, which had been mainly tested in small
underpowered trials with nonsignificant results, did, in and
of itself, improve overall survival, particularly in women
whose tumors had positive estrogen receptors (ER). By 1990,
it became clear that 5 years of tamoxifen was better than 1
or 2 years and that tamoxifen effects were greater in women
with ER-positive cancers. It was first shown in 1990 that
tamoxifen reduced the rate of contralateral breast cancer
and that chemotherapy was effective in both older and
younger women.
By 1995, the huge effect of 5 years of tamoxifen was
clearly demonstrated, and it was obvious from both direct
and indirect comparisons within the Overview that 5 years
of tamoxifen was superior to shorter durations of treatment.It was seen for the first time that tamoxifen prevented
contralateral breast cancers only in women whose initial
tumors were ER positive. That year, the Overview also
demonstrated that anthracycline-containing regimens, at
least when given in higher dosages, were better than CMF-
type chemotherapy.
By 2000, the Overview was able to report on long-term
results, such as 15-year outcomes with chemotherapy, dem-
onstrating sustained benefit in older and in younger women.
There was great controversy at this time suggesting that,
particularly in the CMF trials, the effects of chemotherapy
might be greater in women with ER-negative tumors than in
those with ER-positive tumors, a controversy which contin-ues to this day. In 2000, it was also clearly seen that the
15-year effects of 5 years of tamoxifen were sustained and
of great magnitude. The ATLAS, ATtOM, and a few other
small trials were combined and opened the door to the
suggestion that 5 years of tamoxifen might not be optimal
and that longer tamoxifen might further reduce disease-free
From the Odette Cancer Center, McMaster University, Hamilton, ON, Karolinska
Institutet, Stockholm, Sweden, and the Dana-Farber Cancer Institute, Boston, MA.
Authors disclosures of potential conflicts of interest are found at the end of this article.
Address reprint requests to Harold J. Burstein, Dana-Farber Cancer Institute, 450
Brookline Avenue, Boston, MA 02215; email: [email protected].
2012 by American Society of Clinical Oncology.1092-9118/10/1-10
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recurrence. This remains an important and unresolved
question. It was also clear that ovarian ablation and/or
suppression was effective but not significantly so whenadded to chemotherapy, perhaps because of chemotherapy-
induced amenorrhea.
In 2005, structural changes were required in the Overview
process. The Trialists formed a new steering committee and
organized subcommittees, many of which continue today to
work very effectively. Many new trials were added and there
were many additional years of follow-up for all major ques-
tions. However, data from many major trials, particularly
those of taxanes, were missing in 2005.
In 2006, the Trialists and their subcommittees met and
a series of priorities were set. These included investigations
of the type of anthracycline-based regimen; all taxane trials;
aromatase inhibitors; trastuzumab; and chemoendocrine
therapy, particularly in relation to the ER-positive com-
pared with ER-negative issue in pre- and postmenopausal
women. These meetings led five important publications on
tamoxifen, chemotherapy, and loco-regional therapy.1-5
Nearly 30 years since its inception, the Overview remains
highly relevant and informative. In comparison to individual
trials even huge trials tallying thousands of patients as
has become common in early-stage breast cancerthe Over-
view has several methodologic virtues that make it a unique
data resource. In particular, the Overview is important for
(1) having all the worldwide data; (2) avoiding publication
bias; (3) giving average effect sizes; and (4) clarifying the
timeframes of effects through large sample size and long-
term follow-up.
R e ce n t No t ab l e F i n di n g s f ro m t h e O v erv i ew
Endocrine Therapy
In the main tamoxifen Overview, more than 54,500
women were studied in trials of tamoxifen compared with
no tamoxifen and more than 45,000 in trials of longer
compared with shorter tamoxifen. The effects of 5 years of
tamoxifen on breast cancer recurrence and mortality are
shown in Fig. 1.
Fundamentally, tamoxifen has long and strong sustained
effects on local recurrence, contralateral breast cancer, and
distant and multiple recurrences. Tamoxifen benefits as
measured by proportional risk reduction are similar regard-less of age, stage, grade, or tumor size and with and without
background chemotherapy.
Figure 2 examines the effect of ER and progesterone
receptor (PgR) expression on the benefits with tamoxifen.
Tamoxifen is similarly effective in patients with ER-positive
disease regardless of PgR expression. Patients with ER-
negative but PgR-positive tumors do not get benefit from
tamoxifen, nor do patients with ER- and PgR-negative
tumors.
Figure 3 explores the relationship of quantitative levels of
ER with the benefits of tamoxifen. It demonstrates that
higher ER levels are associated with stronger effects of
tamoxifen.Figure 4 shows the effects of tamoxifen over time. They
are large in years 0 to 1, 2 to 4 and 5 to 10 in terms of
recurrence, but by year 10 and beyond, the effects no longer
increase although the previous gains are not lost. In mortal-
ity however, the benefits come out a little later in years 2 to
4 and then years 5 to 9 and they persist into the 10 to
15year follow-up. Thus, there is a carryover effect on
recurrence of 5 years of tamoxifen that goes on to at least 10
years and in mortality that goes on to at least 15 years.
The Overview has been pivotal in demonstrating the
benefits of endocrine therapy for ER-positive breast cancer.
Five years of tamoxifen in ER-positive disease reduces
recurrences by a relative risk of 38%, breast cancer deathsby approximately 30%, and all deaths by approximately
KEY POINTS
The Oxford Overview suggests benefits for adjuvant
endocrine therapy for all patients with ER positive
breast cancer.
The Oxford Overview suggests benefits for anthra-
cycline- and taxane-based adjuvant chemotherapy
regardless of nodal, ER, or PR status.
Molecular diagnostic assays may identify ER-positive
tumors that may not warrant chemotherapy.
Reconciling the historic overview and newer per-
sonalized approaches to early breast cancer is a
compelling clinical challenge.
Fig. 1. Effects of approximately 5 yearsof tamoxifen on the 15-year probabilitiesof recurrence and of breast cancer mortal-ity for ER-positive disease.
Abbreviations; ER, estrogen receptor;RR, recurrence rate; SE, standard error;(O-E)/V, (observed-expected)/variance.
Reprinted from The Lancet, 378, EarlyBreast Cancer Trialists CollaborativeGroup, Davies C, Godwin J, et al. Relevanceof breast cancer hormone receptors andother factors to the efficacy of adjuvanttamoxifen: Patient-level meta-analysis ofrandomised trials, 771784, 2011, withpermission from Elsevier.
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22%. Contralateral breast cancer is reduced by approxi-
mately 40%. Tamoxifen for 5 years benefits all women with
ER-positive disease and benefits those with very high levels
of ER even more. To date, ER expression is the sole deter-
minant of likely benefit from tamoxifen. Endometrial cancer,
however, is increased by 2.3-fold following 5 years of tamox-
ifen. The rate of endometrial cancer increases as much as
4-fold with 10 years of tamoxifen.
Fig. 2. Relevance of measured ER andPR status to the effects of tamoxifen on the10-year probably of recurrence.
Abbreviations: ER, estrogen receptor; PR,progesterone receptor; RR, recurrence rate;SE, standard error; (O-E)/V, (observed-expected)/variance.
Reprinted from The Lancet, 378, EarlyBreast Cancer Trialists CollaborativeGroup, Davies C, Godwin J, et al. Relevanceof breast cancer hormone receptors andother factors to the efficacy of adjuvant
tamoxifen: Patient-level meta-analysis ofrandomised trials, 771784, 2011, withpermission from Elsevier.
Fig. 3. Relationship of quantitative
levels of ER with benefits of tamoxifen.Abbreviations: O-E, observed-expect-
ed; ER, estrogen receptor; SE, standarderror.
Reprinted from The Lancet, 378, EarlyBreast Cancer Trialists CollaborativeGroup, Davies C, Godwin J, et al. Rele-
vance of breast cancer hormone recep-tors and other factors to the efficacy ofadjuvant tamoxifen: Patient-level meta-analysis of randomised trials, 771784,2011, with permission from Elsevier.
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Radiation Therapy
The Overview has also enabled powerful analyses of the
effects of radiotherapy for early-stage breast cancer. The
proportional effects of radiotherapy after breast-conserving
surgery are substantial for both node-negative and node-
positive disease as shown in Fig. 5. There are substantial
reductions in any recurrence and improvements in breast
cancer survival with postsurgical radiotherapy after breast-
conserving surgery.An important question regarding radiotherapy for breast
cancer has been whether all-cause mortality would be en-
hanced by radiation treatments or whether late (rare) side
effects of radiation might negate treatment benefits in
breast cancerspecific mortality. The Overview, with its
large number of trials and patients, is uniquely positioned to
address this question. Recent data (Fig. 6) indicate that
radiotherapy after breast-conserving surgery reduces breast
cancer recurrence and all-cause mortality among both node-
positive and node-negative disease. A one in four rule
applies for patients with pN0 and pN1 disease in that one
death is prevented for every four recurrences that are
prevented. These benefits are not substantially reduced byside effects and are durable through 15 years of follow-up.
Chemotherapy
The recent overview analysis was published in The Lancet
in December 2011 and was based on the analysis of 100,000
randomly selected patients treated in different randomized
studies.5
In short, the overview contained the quinquennial update
of the following:
Nontaxane chemotherapy compared with taxanes in44,000 patients
Different anthracycline based regimens in 6,000 pa-
tients
Anthracyclines in the comparisons compared with CMF
in 18,000 patients
Randomized studies in 32,000 patients comparing no
chemotherapy with polychemotherapy
For this EBCTCG round, the chemotherapy regimens
were, for the first time, grouped based on scheduling and
dose intensity, with particular focus on the CMF- and
anthracycline-based regimens. All outcome analyses were
done based on individual patient tumor data with as long of
follow-up as possible for each study. Individual patient datawere also included from some unpublished randomized stud-
Fig. 4. Abbreviations: ER, estrogen receptor; y, year; SE, standard error; (O-E)/V, (observed-expected)/variance.Reprinted from The Lancet, 378, Early Breast Cancer Trialists Collaborative Group, Davies C, Godwin J, et al. Relevance of breast cancer
hormone receptors and other factors to the efficacy of adjuvant tamoxifen: Patient-level meta-analysis of randomised trials, 771784, 2011,with permission from Elsevier.
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ies, thereby reducing the potential risks of publication bias
of studies with a positive outcome, the latter being pub-
lished earlier. Data were analyzed for recurrence, breast
cancerspecific survival, and overall mortality.
A summary of major findings includes the following re-
sults:
The use of taxanes added a statistically significant
reduced risk of breast cancer death by 14% (2.7% absolute
Fig. 5. Effect of radiotherapy afterbreast-conserving surgery on 10-year riskof any (loco-regional or distant) first recur-rence on 15-year risk of breast cancerdeath in women with pathologically veri-fied node status.
Abbreviations: SE, standard error; RR, re-currence rate; BCS, breast-conserving sur-gery; RT, radiotherapy.
Reprinted from The Lancet, 378, EarlyBreast Cancer Trialists CollaborativeGroup, Darby S, McGale P, et al. Effect ofradiotherapy after breast-conserving sur-gery on 10-year recurrence and 15-year
breast cancer death: Meta-analysis of indi-vidual patient data for 10,801 women in17 randomized trials, 17071716, 2011,
with permission from Elsevier.
Fig. 6. Effect of radiotherapy after breast-conserving surgery on 10-year risk of any (loco-regional or distant) first recurrence on 15-yearrisks of breast cancer death and death from any cause in 10,801 women (67% with pathologically node-negative disease) in 17 trials.3
Abbreviations: SE, standard error; RR, recurrence rate; BCS, breast-conserving surgery; RT, radiotherapy.Reprinted from The Lancet, 378, Early Breast Cancer Trialists Collaborative Group, Darby S, McGale P, et al. Effect of radiotherapy after
breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: Meta-analysis of individual patient data for 10,801 womenin 17 randomized trials, 17071716, 2011, with permission from Elsevier.
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gain, p 0.0005, 2.2% absolute overall survival gain)
compared with anthracycline-based regimens at 8-years
follow-up. This effect was not statistically significant withonly a 6% relative effect if the anthracycline control arm was
given with a high cumulative anthracycline dose (Fig. 6).
There was no difference in schedule or taxane drug
(paclitaxel or docetaxel).
There was no difference whether endocrine therapy was
given concurrently or in sequence with chemotherapy.
There were no age-related effects by the delivered
chemotherapies, taxane, or anthracycline-based regimens.
Indeed, there was a trend suggesting greater chemotherapy
effect in the age 55 to 69 group than in younger women.
The anthracycline and taxane regimens had similar
antitumoral effects irrespective of patient age, tumor ER
status, whether tamoxifen was given, the combination of ERby HER2, or the interaction of ER and grade. (Fig. 7).
Four cycles of doxorubicin and cyclophosphamide pro-
duced a similar result as six courses of standard CMF at 10
years follow-up. Anthracycline regimens with higher doses,however, reduced the breast cancer mortality by about 4%
at 10 years (a relative improvement of 22%, p 0.004)
compared with CMF. The overall mortality was improved by
the same extent.
In comparison with no chemotherapy, CMF-like regi-
mens and anthracycline-based regimens reduced overall
mortality by 6% at 10 years. No subgroup could be readily
identified that did not benefit from chemotherapy. The
CMF-based studies revealed a less distinct message; the
effect seemed less obvious for the elderly (irrespective of
ER status). This could be because of a combination of factors:
lower compliance in those studies run decades ago; no access
to modern antiemetic regimens; a lack of supportive caremeasurement; and less patient motivation to accept toxicity
Fig. 7. Studies comparing the add-on ef-fect by taxanes, most AC x 4. Demonstrationof the outcome (breast cancer survival andoverall survival) when the comparator armcontained higher doses of the nontaxanedrugs, mostly anthracyclines.
Abbreviations: AC, doxorubicin/cyclo-phosphamide; RR, recurrence rate; SE, stan-
dard error; (O-E)/V, (observed-expected)/variance.
Reprinted from The Lancet, 379, EarlyBreast Cancer Trialists Collaborative Group,Peto R, Davies C, et al. Comparisons be-tween different polychemotherapy regi-mens for early breast cancer: Meta-analysesof long-term outcome among 100,000
women in 123 randomized trials, 432444,2012, with permission from Elsevier.
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Fig. 8. Breast cancer mortality for anthracyclines compared with no adjuvant chemotherapy. Outcomes for different cumulative anthracy-clines doses,age groups, node status, ER status. and thecombination of ER statusand histopathologic grade. All forestplots reveal a very similarpattern of the same relative magnitude of chemotherapy.
Abbreviations: ER, estrogen receptor; CAF, cyclophosphamide/doxorubicin/fluorouracil; SE, standard error; 4AC/EC, four cycles of doxoru-bicin/cyclophosphamide or epirubicin/cyclophosphamide; NS, nodal status.
Reprinted from The Lancet, 379, Early Breast Cancer Trialists Collaborative Group, Peto R, Davies C, et al. Comparisons between different
polychemotherapy regimens for early breast cancer: Meta-analyses of long-term outcome among 100,000 women in 123 randomized trials,432444, 2012, with permission from Elsevier.
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since an eventual benefit by adjuvant therapies was not
known at the time these studies were done.
T h e E ra o f P e rs o na l i ze d B re as t Ca nc e r T re at m en t
During the last decade, there have been major attempts
to tailor adjuvant chemotherapy and, to a lesser degree,
the choices for adjuvant endocrine therapy, based on consid-
eration of the unique biologic features of breast cancers. This
effort has grown from recognition of major breast cancersubsets defined by widely used histopathologic markers
(ER, PgR, and human epidermal growth factor receptor 2
[HER2]) as well as traditional pathology (grade, proliferation)
and molecular diagnostics (intrinsic subsets/OncotypeDX
characteristics).6 These schemes of prognostication and
therapy prediction separate breast cancer into distinct sub-
groups, with different management, based principally on
tumor histopathology, abetted by detailed insights from
gene expression profiling of tumors.
A number of retrospective analyses from prospective,
randomized trials have suggested that the proportional
benefits of chemotherapy are not, in fact, the same for all
kinds of breast cancer.6-9 In addition, previous studies have
also revealed that chemotherapyin particular CMF-based
therapiesmay have no or little value to patients with high
ERs levels and that the major antitumoral effect for the
premenopausal patients may be because of induction of
amenorrhea.10 These subset analyses have suggested that
the clinical benefit of chemotherapy is most dramatic in
tumors with low or no ER expression (including triple-
negative cancers), overexpression of HER2, higher grade,
and higher proliferative scores. Conversely, endocrine ther-
apies are most effective in tumors with higher levels of ER
expression, lower levels of HER2, lower grade, and lower
proliferative scores. Retrospective subset analyses of specific
phase III studies have frequently found that the benefit of
adding taxane-based therapy is least pronounced amongcancers that are ER positive and HER2 negative (the ma-
jority of most breast cancers), although these data must now
be seen in the global context of the Overview findings to the
contrary. However, consistent with the findings in single
adjuvant trials, neoadjuvant studies have suggested that
complete pathologic response to chemotherapy is far less
common in tumors that are ER positive. Molecular assays
have emerged that appear to predict the likelihood of che-
motherapy benefit, particularly in addition to adjuvant
endocrine therapy. Tumors classified as having a luminal A
intrinsic subtype or a low recurrence score on the On-
cotypeDX assay, tend to derive minimal benefit from the
addition of chemotherapy to endocrine therapy. It is unclearwhether this is because the relative gain by chemotherapy is
the same, but with an absolute gain that is too small to affect
outcomes among patients with low-risk disease, or whether
there truly is no benefit with chemotherapy. These assays
correlate well if imperfectly with other tumor features such
as grade, proliferation, and quantitative levels of ER and
HER2, fitting with subset hypotheses about the importance
of those pathologic features.
Finally, the advent of anti-HER2 therapy in the adjuvant
setting with trastuzumab has radically altered the natural
history of HER2-positive breast cancers. These tumors,
which traditionally had a less favorable prognosis, now
appear to have as good a prognosis as HER2-negativetumors. The use of trastuzumab for HER2-positive cancers
and the additional use of adjuvant endocrine therapy for
ER-positive cancers has meant that issues of endocrine
therapy or not or chemotherapy or not are less compelling
now than decades ago. The persistent question has become:
are there sufficient data to tailor treatments based on
specific biomarker subsets, or do all patients need the same
treatments?
Ca n W e R e co n ci l e t h e O v e rv ie w a n d t h e In d iv i du a l
Treatment Paradigms?
We now confront the paradox of the Overview. In large
measure, the Overview argues for adjuvant chemotherapy
for all women, regardless of tumor biology or stage. This
blanket observation seems at odds with the growing litera-
ture that suggests that individual tumorsand thus indi-
vidual patientsrespond differently to chemotherapy and
endocrine therapy. Can these observations be reconciled?
The reason why the EBCTCG analysis demonstrates rel-
atively similar antitumoral effects in all the different sub-
groups is so far not understood. There are two particular
strengths of the Overview that should not be forgotten.
First, the Overview is an enormous data repository that
dwarfs in the number of events and the duration of follow-up
of the available data from any given study. This gives the
Overview power to see effects that might be missed in
smaller, retrospective efforts. Of note, the previously pub-
lished reports on selectivity of the chemotherapy effects are
the result of subgroup analysis on materials with much less
statistical power and in some studies lacking inclusion of all
randomly selected patients and overlapping 95% confidence
intervals for some of the interesting findings.
Secondly, by including data from almost all adjuvant
trials, the Overview minimizes the temptation to focus on
positive, published studies, a bias particularly notable in the
literature on biomarker subsets where negative studies
are all but unpublishable. These are important consider-ations that should give clinicians pause before dismissing
the Overview findings.
At the same time, there are features of the Overview
design that may overstate the benefits of chemotherapy. The
Overview reports on proportional risk reduction and related
absolute differences in outcome. However, for most patients,
the absolute gains are the driving force for decisions on
chemotherapy. Differences in absolute benefit from chemo-
therapy clearly vary based on tumor stage and on the
residual degree of risk that remains despite adjuvant endo-
crine therapy. In addition, the Overview has not been able to
capture adequate information on chemotherapy-induced
amenorrhea so as to tease out the effects of chemotherapy onovarian function in women with ER-positive tumors, though
chemotherapy benefit is notably similar regardless of age
and ER status.5
More critically, perhaps, is that differences in treatment
effect may hinge on consideration of multiple variables that
the Overview has not as yet grappled with in detail. It could
simply be because the EBCTCG data just describes mean
effects for all the different subgroups without enabling the
identification of distinct subgroups with claimed different
biology and outcome. The characterization of subsets of
ER-positive cancers, in particular, by molecular assays sug-
gests that simultaneous consideration of ER levels, HER2
expression, and grade/proliferation is important for classi-fying cancers and determining treatment benefit. As yet, the
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Overview analyses looking at quantitative hormone receptor
levels or considering 2 2 analyses of ER by HER2 or ER
by grade may not be sufficiently multiplexed to figure out
which patients can avoid chemotherapy. A major limitation
with the present Overview is the lack of data on prolifera-
tion, gene expression, modern immunohistochemical mea-
surements of receptors, quality controlled pathology
classification, and central marker review. Information on
these variables would, of course, have added value to theEBCTCG processes and analyses, and some investigators
may claim that these shortcomings may explain some of the
results. Despite these shortcomings, the example of ER
values in the overall EBCTCG suggest very robust results in
relation to adjuvant tamoxifen, further supporting the va-
lidity of the EBCTCG findings.4
Additional methodologic details may be relevant. Several
studies that have identified selective benefit for chemother-
apy have centrally reanalyzed ER or HER2 data on some
patients, a detailed pathologic step not preformed in the
EBCTCG database.8,10 Similarly, the Overview used a sur-
rogate strategy for high proliferation/higher OncotypeDx
scores by using grade as reported by local laboratories (in
particular, poorly differentiated cancers) that have not been
confirmed. Furthermore, the EBCTCG demonstration of
similar effects of chemotherapies, independent of studied
subgroups, could merely be a reflection of an inherent
common biology of breast cancer with a similar type of
sensitivity to the commonly used cytostatics. However, this
seems counterintuitive based on present extensive knowl-
edge of breast cancer biology in relation to outcome and
therapy strategies, but it has happened before in the era of
science that conclusions made with the best intentions have
required modification.
A possible explanation to the general findings of a similar
relative magnitude in antibreast cancer effects in the
adjuvant setting by taxanes and anthracyclines could bethat all epithelial breast cancers seem to share so far
unidentified gene cassettes associated with a similar sensi-
tivity to chemotherapy. This could, to some extent, be
potentially substantiated by ongoing studies on human
breast cancer stem cells from primary cultures, which indi-
cate a common phenotype for most breast cancer stem cells
in relation to a specific receptor status, despite the fact that
cancers per se have different tumor and receptor character-
istics (Johan Hartman, Irma Fredriksson, Jonas Bergh,
verbal communications, March 1, 2012).
At its heart, the task of reconciling the invaluable data
from the ongoing Oxford Overview with the emerging data
from subset studies using novel markers remains the fun-
damental challenge for adjuvant therapy for breast cancer.
Ongoing collaboration and research will be critical for help-
ing clinicians and patients understand these different but
important clinical datasets and solving the riddle of the
Overview paradox.
Authors Disclosures of Potential Conflicts of Interest
Author
Employment orLeadershipPositions
Consultant orAdvisory Role
StockOwnership Honoraria
ResearchFunding
ExpertTestimony
OtherRemuneration
Kathleen I. Pritchard GlaxoSmithKline;Novartis; OrthoBiotech; Pfizer;
Roche; Sanofi;YM BioSciences
AstraZeneca;GlaxoSmithKline;Novartis; Pfizer;
Roche; Sanofi
AstraZeneca;Novartis; Pfizer;
Sanofi
Jonas Bergh Affibody; Amgen;AstraZeneca;
Bayer;GlaxoSmithKline;i3innovus; Onyx;
Pfizer; Sanofi;Tapestry
Pharmaceuticals
AstraZeneca;Pfizer; Roche;
Sanofi
Merck; Pfizer;Roche
AstraZeneca;Roche
Harold J. Burstein*
*No relevant relationships to disclose.
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