The new england journal of medicine
Soonmyung Paik, M.D., Steven Shak, M.D., Gong Tang, Ph.D.,
Chungyeul Kim, M.D., Joffre Baker, Ph.D., Maureen Cronin, Ph.D.,
Frederick L. Baehner, M.D., Michael G. Walker, Ph.D., Drew Watson, Ph.D.,
Taesung Park, Ph.D., William Hiller, H.T., Edwin R. Fisher, M.D.,
D. Lawrence Wickerham, M.D., John Bryant, Ph.D.,
b a c k g r o u n d
The likelihood of distant recurrence in patients with breast cancer who have no involved From the Division of Pathology, Operation
Center, and the Biostatistics Center, Na-
lymph nodes and estrogen-receptor–positive tumors is poorly defined by clinical and tional Surgical Adjuvant Breast and Bowel
Project, Pittsburgh (S.P., G.T., C.K., T.P.,W.H., E.R.F., D.L.W., J.B., N.W.); Genomic
Health, Redwood City, Calif. (S.S., J.B., M.C.,M.G.W., D.W.); the Department of Statis-
We tested whether the results of a reverse-transcriptase–polymerase-chain-reaction tics, University of Pittsburgh, Pittsburgh
(RT-PCR) assay of 21 prospectively selected genes in paraffin-embedded tumor tissue (G.T., J.B.); and the University of Califor-would correlate with the likelihood of distant recurrence in patients with node-nega- nia, San Francisco, San Francisco (F.L.B.).
Address reprint requests to Dr. Paik at the
tive, tamoxifen-treated breast cancer who were enrolled in the National Surgical Adju- Division of Pathology, NSABP, 4 Allegheny
vant Breast and Bowel Project clinical trial B-14. The levels of expression of 16 cancer- Center, 5th Fl., East Commons Profession-related genes and 5 reference genes were used in a prospectively defined algorithm to al Bldg., Pittsburgh, PA 15212, or at spaik.
calculate a recurrence score and to determine a risk group (low, intermediate, or high)for each patient.
N Engl J Med 2004;351:2817-26. Copyright 2004 Massachusetts Medical Society.
Adequate RT-PCR profiles were obtained in 668 of 675 tumor blocks. The proportionsof patients categorized as having a low, intermediate, or high risk by the RT-PCR assaywere 51, 22, and 27 percent, respectively. The Kaplan–Meier estimates of the rates ofdistant recurrence at 10 years in the low-risk, intermediate-risk, and high-riskgroups were 6.8 percent (95 percent confidence interval, 4.0 to 9.6), 14.3 percent (95percent confidence interval, 8.3 to 20.3), and 30.5 percent (95 percent confidence in-terval, 23.6 to 37.4). The rate in the low-risk group was significantly lower than that inthe high-risk group (P<0.001). In a multivariate Cox model, the recurrence score pro-vided significant predictive power that was independent of age and tumor size(P<0.001). The recurrence score was also predictive of overall survival (P<0.001) andcould be used as a continuous function to predict distant recurrence in individual pa-tients. c o n c l u s i o n s
The recurrence score has been validated as quantifying the likelihood of distant re-currence in tamoxifen-treated patients with node-negative, estrogen-receptor–positivebreast cancer.
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The new england journal of medicine
ly defined, 21-gene RT-PCR assay and recurrence-
lecular dissection of cancer has increased score algorithm to quantify the likelihood of distant
oour understanding of the pathways that recurrence in patients with node-negative, estrogen-
are altered in neoplastic cells.1,2 Nevertheless, the receptor–positive breast cancer who had been treat-diagnosis of cancer and decisions about its treat- ed with tamoxifen in the large, multicenter NSABPment still rely largely on classic histopathological trial B-14. and immunohistochemical techniques. A morequantitative approach to diagnosis and rational in-
dividualization of treatment are needed.
Large clinical trials, such as National Surgical patients
Adjuvant Breast and Bowel Project (NSABP) trials NSABP trial B-14 (entitled “A Clinical Trial to Assess B-14 and B-20, have demonstrated the benefit of Tamoxifen in Patients with Primary Breast Cancer tamoxifen and chemotherapy in women who have and Negative Axillary Nodes Whose Tumors Are node-negative, estrogen-receptor–positive breast Positive for Estrogen Receptors”) enrolled 2892 pa- cancer.3-5 However, since the likelihood of distant tients who were randomly assigned to receive place- recurrence in patients treated with tamoxifen alone bo or tamoxifen between January 4, 1982, and Janu- after surgery is about 15 percent at 10 years, at least ary 25, 1988, and enrolled 1235 additional patients, 85 percent of patients would be overtreated with all treated with tamoxifen, between January 26, chemotherapy if it were offered to everyone. Numer- 1988, and October 17, 1988. The current study of ous attempts have been made to identify biomark- the recurrence score was approved by the Essex In- ers of residual risk,6-9 but none of them have been stitutional Review Board (Lebanon, N.J.) and by the recommended for guiding treatment.10-15 Molecu- institutional review boards of Allegheny General lar signatures of gene expression in tumor tissue Hospital and the University of Pittsburgh (both in that correlate with recurrence of breast cancer have Pittsburgh). The need for additional informed con- been identified by methods based on the use of DNA sent was waived by the institutional review boards. arrays.16-21 However, the requirement for fresh or snap-frozen tissue and uncertainties about the re- sample preparation producibility of such methods have limited their Paraffin blocks with cancer cells occupying less clinical application.
than 5 percent of the section area were excluded
We used a multistep approach to develop an as- from the study. Macrodissection was performed
say of the expression of tumor-related genes for with the use of a safety blade for cases involving use with routinely prepared tumor blocks and to val- nontumor elements that were amenable to macro- idate the assay clinically. First, a high-throughput, dissection and that constituted more than 50 per- real-time, reverse-transcriptase–polymerase-chain- cent of the overall area of the tissue section. RNA reaction (RT-PCR) method was developed to quanti- was extracted from three 10-µm sections when mac- fy gene expression with the use of sections of fixed, rodissection had not been performed or from six paraffin-embedded tumor tissue.22 Second, we se- 10-µm sections when macrodissection had been lected 250 candidate genes from the published lit- performed. erature, genomic databases, and experiments based on DNA arrays performed on fresh-frozen tis- assay methods, gene selection, sue.17-19,23 Third, we analyzed data from three inde- and recurrence-score algorithm pendent clinical studies of breast cancer involving Gene expression in fixed, paraffin-embedded tu- a total of 447 patients, including the tamoxifen-only mor tissue was measured as described by Cronin group of NSABP trial B-20, to test the relation be- et al.22 The Oncotype DX assay (Genomic Health) tween expression of the 250 candidate genes and was used. In brief, after RNA extraction and DNase the recurrence of breast cancer.24-26 Fourth, we used I treatment, total RNA content was measured and the results of the three studies to select a panel of 16 the absence of DNA contamination was verified (as cancer-related genes and 5 reference genes and de- described in the Supplementary Appendix, available signed an algorithm, based on the levels of expres- with the full text of this article at www.nejm.org). sion of these genes, to compute a recurrence score Reverse transcription was performed and was fol- for each tumor sample. The study reported here was lowed by quantitative TaqMan RT-PCR reactions in performed to validate the ability of the prospective- 384-well plates, performed with the use of Prism
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Copyright 2004 Massachusetts Medical Society. All rights reserved.
m u l t i g e n e a s s a y t o p r e d i c t r e c u r r e n c e o f b r e a s t c a n c e r
7900HT instruments (Applied Biosystems). Theexpression of each gene was measured in triplicate
Proliferation Estrogen
and then normalized relative to a set of five refer-
ence genes (ACTB [the gene encoding b-actin],
GAPDH, GUS, RPLPO, and TFRC). Reference-nor-
malized expression measurements ranged from
0 to 15, where a 1-unit increase reflected an approx-
Reference
The list of 21 genes and the recurrence-score
algorithm (Fig. 1) were designed by analyzing the
Invasion
results of the three independent preliminary studies
involving 447 patients and 250 candidate genes24-26
(as described in the Supplementary Appendix). The
selection of the final 16 cancer-related genes wasbased primarily on the strength of their performance
Figure 1. Panel of 21 Genes and the Recurrence-Score Algorithm.
in all three studies and the consistency of primer or
The recurrence score on a scale from 0 to 100 is derived from the reference-
probe performance in the assay. The range of pos-
normalized expression measurements in four steps. First, expression for each
sible recurrence scores was 0 to 100 (where higher
gene is normalized relative to the expression of the five reference genes (ACTB
scores indicated a greater likelihood of recurrence)
[the gene encoding b-actin], GAPDH, GUS, RPLPO, and TFRC). Reference-nor-malized expression measurements range from 0 to 15, with a 1-unit increase
and was derived from the reference-normalized ex-
reflecting approximately a doubling of RNA. Genes are grouped on the basis
pression measurements for the 16 cancer-related
of function, correlated expression, or both. Second, the GRB7, ER, proliferation,
and invasion group scores are calculated from individual gene-expression
Cutoff points were prespecified to classify pa-
measurements, as follows: GRB7 group score = 0.9 ¬ GRB7+0.1¬HER2 (if the
tients into the following categories: low risk (re-
result is less than 8, then the GRB7 group score is considered 8); ER group score = (0.8¬ER+1.2¬PGR+BCL2+SCUBE2)÷4; proliferation group score
currence score, less than 18), intermediate risk (re-
=Survivin+KI67+MYBL2+CCNB1 [the gene encoding cyclin B1]+STK15)÷5
currence score, 18 or higher but less than 31), and
(if the result is less than 6.5, then the proliferation group score is considered
high risk (recurrence score, 31 or higher). The cut-
6.5); and invasion group score=(CTSL2 [the gene encoding cathepsin L2]
off points were chosen on the basis of the results of
+MMP11 [the gene encoding stromolysin 3])÷2. The unscaled recurrence
score (RSU) is calculated with the use of coefficients that are predefined on the basis of regression analysis of gene expression and recurrence in the three
Reproducibility within and between blocks was
training studies24-26: RSU=+0.47¬GRB7 group score¡0.34¬ER group score
assessed by performing the 21-gene assay in five
+1.04¬proliferation group score+0.10¬invasion group score+0.05¬CD68
serial sections from six blocks in two patients. The
¡0.08¬GSTM1¡0.07¬BAG1. A plus sign indicates that increased expression is
within-block standard deviation for the recurrence
associated with an increased risk of recurrence, and a minus sign indicates
score was 0.72 recurrence-score unit (95 percent
that increased expression is associated with a decreased risk of recurrence. Fourth, the recurrence score (RS) is rescaled from the unscaled recurrence
confidence interval, 0.55 to 1.04). The total within-
score, as follows: RS=0 if RSU<0; RS=20¬(RSU¡6.7) if 0≤RSU≤100; and
patient standard deviation (including between-
block and within-block standard deviations) was2.2 recurrence-score units.
were free of a distant recurrence for more than 10
s t u d y d e s i g n a n d e n d p o i n t s
years after surgery was significantly greater in the
Patients were eligible if they had been randomly low-risk group than in the high-risk group. Theassigned to receive tamoxifen or had received ta- second prespecified primary objective was to deter-moxifen as a member of the registration group of mine whether there was a statistically significantNSABP trial B-14 and if a tumor block was available relation between the recurrence score and the riskin the NSABP Tissue Bank. Exclusion criteria were of distant recurrence — one that went beyond theinsufficient tumor tissue (less than 5 percent of the relation between recurrence and the standard mea-overall tissue sample) as assessed by histopatho- sures of the patient’s age and the size of the tumor. logical analysis, insufficient RNA (less than 0.5 µg), Contralateral disease, other second primary can-or a weak RT-PCR signal (average cycle threshold cers, and death before distant recurrence were con-for the reference genes, greater than 35).
sidered censoring events. Recurrence in the ipsilat-
The first prespecified primary objective was to eral breast, local recurrence, and regional recurrence
determine whether the proportion of patients who were not considered events or censoring events.
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The new england journal of medicine
Prespecified secondary objectives included de- year rate of distant recurrence was then estimated
termination of the relapse-free interval (the time by a Breslow-type function.29 The NSABP designedfrom surgery to any recurrence) over a 10-year peri- the study, collected the clinical data, and analyzedod and the 10-year overall mortality from any cause the results. The assay was carried out by Genomicin the low-risk and high-risk groups; the degree Health. The NSABP held the combined clinical andof agreement in the assignment of tumor grade laboratory data (after the removal of identifying in-among three pathologists; and the performance of formation) and performed the data analyses. Thethe recurrence score in the context of the interob- manuscript was written by the NSABP, with inputserver variability in tumor grading.
No samples from trial B-14 were used for prior
testing or training. The prospectively defined assay
methods and end points were finalized in a proto- col signed on August 27, 2003. RT-PCR analysis characteristics of the patients was initiated on September 5, 2003, and RT-PCR Paraffin blocks containing sufficient specimens of data were transferred to the NSABP for analysis on tissue involved by invasive breast cancer were avail- September 29, 2003.
able from 675 of 2617 tamoxifen-treated patients
Estrogen- and progesterone-receptor proteins in trial B-14. RT-PCR was successful in 668 of the
were measured by ligand-binding assays. HER2 DNA 675 blocks. The 668 patients who corresponded towas measured by a fluorescence in situ hybridiza- these blocks were similar in terms of age distribu-tion assay (PathVysion, Vysis). Tumor grade was tion and the distribution of tumor size to the over-determined independently by three pathologists all group of 2617 tamoxifen-treated patients (Tablefrom the NSABP, Stanford University Medical Cen- 1 of the Supplementary Appendix). For the groupter, and the University of California, San Francisco, of 668 patients whose tumor sample could be eval-School of Medicine with use of a modification of uated, the Kaplan–Meier estimate for the propor-the Bloom–Richardson grading criteria.27
tion who had no distant recurrence 10 years aftersurgery was 85 percent. s t a t i s t i c a l a n a l y s i s
We tested the hypothesis that the proportion of recurrence rates in the low-risk patients who are free of a distant recurrence at 10 and high-risk groups years would be significantly higher in the low-risk The Kaplan–Meier estimate for the proportion of group (recurrence score, less than 18) than in the patients in the low-risk group who were free of a high-risk group (recurrence score, 31 or higher). distant recurrence at 10 years (93.2 percent) was sig- The test statistic was derived by adjusting the dif- nificantly greater than the proportion in the high- ference between the Kaplan–Meier estimates of risk category (69.5 percent) (P<0.001) (Table 1 and the 10-year rate of distant recurrence in the two groups by the corresponding Greenwood variance estimates. A P value of less than 0.05 (two-sided) was Table 1. Kaplan–Meier Estimates of the Rate of Distant
considered to indicate a significant result. We also
Recurrence at 10 Years, According to Recurrence-Score Risk Categories.*
tested the hypothesis that there would be a signifi-cant difference between a (reduced) Cox proportion-
Rate of Distant Percentage Recurrence at 10 Yr
al-hazards model for distant recurrence based only
Risk Category of Patients (95% CI)†
on age and clinical tumor size and a (full) propor-
tional-hazards model based on age, clinical tumor
size, and recurrence score. A P value of less than
0.05 (two-sided) in the likelihood-ratio test was
considered to indicate a significant result. To de-fine the continuous relation between the recurrence * A low risk was defined as a recurrence score of less than
score and the 10-year risk of distant recurrence, the
18, an intermediate risk as a score of 18 or higher but
data were fitted by a time-varying, piecewise, log-
less than 31, and a high risk as a score of 31 or higher.
hazard ratio model with the recurrence score and ‡ P<0.001 for the comparison with the low-risk category.
its quadratic term included as covariates.28 The 10-
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m u l t i g e n e a s s a y t o p r e d i c t r e c u r r e n c e o f b r e a s t c a n c e r
Fig. 2). The recurrence score was also significantlycorrelated with two secondary end points: the re-
lapse-free interval and overall survival (P<0.001 for
both) (Fig. 2B and 2C of the Supplementary Ap-
r e c u r r e n c e s c o r e , a g e , t u m o r s i z e , a n d r i s k o f d i s t a n t r e c u r r e n c e
As expected, younger patients (those less than 50
(% of patients)
years of age) had higher rates of distant recurrence
at 10 years than older patients (21.1 percent [95
Freedom from Distant Recurrence
percent confidence interval, 15.1 to 26.8 percent]
vs. 12.3 percent [95 percent confidence interval, 9.1
to 15.3 percent]), whereas patients with smaller
tumors (diameter, 2 cm or less) had lower estimat-
No. at Risk
ed rates of distant recurrence at 10 years than those
with larger tumors (13.3 percent [95 percent confi-
dence interval, 9.9 to 16.8 percent] vs. 17.5 percent
[95 percent confidence interval, 12.6 to 22.3 per-cent]). In a multivariate Cox model in which distant
Figure 2. Likelihood of Distant Recurrence, According to Recurrence-Score
recurrence was evaluated in relation to both age
Categories.
and tumor size, age alone was significantly corre-
A low risk was defined as a recurrence score of less than 18, an intermediate risk as a score of 18 or higher but less than 31, and a high risk as a score of
lated with distant recurrence (P=0.004, with young-
31 or higher. There were 28 recurrences in the low-risk group, 25 in the inter-
er patients more likely to have recurrence), where-
mediate-risk group, and 56 in the high-risk group. The difference among the
as tumor size trended toward significance (P=0.06,
with larger tumors more likely to recur) (Table 2). In a multivariate Cox model in which distant recur-rence was evaluated in relation to the recurrencescore, age, and tumor size, the recurrence score pro-vided significant predictive power that was inde-
Table 2. Multivariate Cox Proportional Analysis of Age, Tumor Size, and Recurrence Score in Relation to the Likelihood of Distant Recurrence.*
pendent of age and tumor size (P<0.001) (Table 2). When recurrence score was added to the model,
Hazard Ratio
age and tumor size were no longer statistically sig-
Variable (95% CI)†
nificant. Similar results were observed when more
Analysis without recurrence score
than two categories of age and tumor size were used
e s t r o g e n - a n d p r o g e s t e r o n e - r e c e p t o r Analysis with recurrence score‡ p r o t e i n s a n d a m p l i f i c a t i o n o f h e r 2
No relation was observed between the levels of es-
trogen- or progesterone-receptor proteins and therisk of distant recurrence (Fig. 1 of the Supplemen-
tary Appendix). HER2 was amplified in 55 of the * Age at surgery was a binary variable (0 for an age of less than 50 years and 1 for
668 tumors (8.2 percent) and not amplified in 605
an age of 50 years or more); clinical tumor size was a binary variable (0 for a diam-
tumors (90.6 percent); the result was indetermi-
eter of 2 cm or less and 1 for a diameter greater than 2 cm); and the recurrence
nate in 8 (1.2 percent). The Kaplan–Meier estimate
score was a continuous variable, with the hazard ratio for distant recurrence calculated relative to an increment of 50 units (chosen to dichotomize the re-
of the proportion of patients free of distant re-
currence score and thus improve comparability of the hazard ratio with the
currence at 10 years among those with tumors in
hazard ratios based on the clinical covariates).
which HER2 was amplified was 75.0 percent (95 † CI denotes confidence interval.
‡ P<0.001 and chi-square=33.7 for the comparison with the analysis without the
percent confidence interval, 63.2 to 86.9 percent),
recurrence score (by the likelihood-ratio test).
and 86.0 percent (95 percent confidence interval,
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The new england journal of medicine
83.1 to 88.9 percent) among patients with tumors rence score was a significant predictor of distant in which HER2 was not amplified (P=0.08) (Fig. recurrence (data not shown). 2A of the Supplementary Appendix). In Cox models that included the recurrence score and traditional recurrence score, tumor grade, measures (estrogen receptor, progesterone recep- and risk of distant recurrence tor, or DNA amplification of HER2), only the recur- The assessment of tumor grade by each of the three
pathologists correlated with the risk of distant re-currence (Tables 2A, 2B, and 2C of the Supplemen-
Table 3. Multivariate Cox Proportional Analysis of Age, Tumor Size, Tumor
tary Appendix). The recurrence score provided sig-
Grade, and Recurrence Score in Relation to the Likelihood of Distant
nificant information beyond tumor grade for each
Recurrence.*
of the three pathologists (P<0.001). The concor-
Hazard Ratio
dance in assessment of grade between any two pa-
Variable (95% CI)†
thologists was 59 to 65 percent, and the overall con-
Analysis without recurrence score
cordance among all the three pathologists was 43percent (Table 3 of the Supplementary Appendix).
Agreement among the three pathologists was low-
est for well-differentiated and moderately differ-
entiated tumor grades (kappa, 0.36 and 0.23, respec-
tively) and highest for a poorly differentiated grade
Finally, multivariate Cox proportional-hazards
analyses were performed to explore the relation be-
tween distant recurrence and age, tumor size, tumor
grade, HER2 amplification, amounts of estrogen-
and progesterone-receptor protein, and recurrence
score (Table 3). The recurrence score and poor tu-
Analysis with recurrence score‡
mor grade were significant predictors of distant re-
r i s k o f d i s t a n t r e c u r r e n c e i n s u b g r o u p s o f p a t i e n t s
The recurrence score predicted distant recurrence
for all age categories and all categories of tumor
size (Fig. 3). Patients with a low-risk recurrence
score (less than 18) had less frequent distant recur-rences at 10 years than patients with a high-risk
score (31 or higher). Moreover, not all patients with
small tumors (109 patients with a tumor 1 cm in di-
ameter or smaller) were at low risk; the recurrence
score identified 44 of those patients as having anintermediate or high risk and a 15 to 20 percent risk
* The tumor grades were those of one of the three pathologists. Age at surgery
was a binary variable (0 for an age of less than 50 years and 1 for an age of 50 years or more); clinical tumor size was a binary variable (0 for a diameter of
The subgroup of patients with moderately dif-
2 cm or less and 1 for a diameter greater than 2 cm); grade was a binary variable
ferentiated tumors (the most common grade) could
(poorly differentiated relative to well differentiated and moderately differenti-
be distinguished to be at low or high risk by the
ated relative to well differentiated); HER2 amplification was a binary variable (0 for no amplification on fluorescence in situ hybridization and 1 for amplifi-
recurrence score (Fig. 3). A subgroup of patients
cation); the amount of estrogen-receptor protein was an ordinal variable, with
with well-differentiated tumors had high recurrence
the baseline level being 10 to 49 fmol per milligram; and recurrence score was
scores and high rates of distant recurrence. For two
a continuous variable, with the hazard ratio for distant recurrence calculated relative to an increment of 50 units.
of the three pathologists, a subgroup of patients
with poorly differentiated tumors had low recur-
‡ P<0.001 and chi-square=15.2 for the comparison with the analysis without the
rence scores and low rates of distant recurrence
(Fig. 3A and 3B of the Supplementary Appendix).
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m u l t i g e n e a s s a y t o p r e d i c t r e c u r r e n c e o f b r e a s t c a n c e r
Figure 3. Kaplan–Meier Estimates of the Proportion of Patients Free of Distant Recurrences at 10 Years, Subgroup Patients According to Age, Tumor Size, and Tumor Grade.
For each group of patients, the results for low-, interme-
diate-, and high-risk recurrence-score categories (scores
of less than 18, 18 or higher but less than 31, and 31 or
higher, respectively) are shown. The tumor grades are
those of one of the three pathologists. The size of each
square corresponds to the size of the subgroup; the hor-
izontal lines represent the 95 percent confidence interval. r e c u r r e n c e s c o r e a s a c o n t i n u o u s p r e d i c t o r o f d i s t a n t r e c u r r e n c e
The likelihood of distant recurrence at 10 years
increased continuously as the recurrence score in-
creased (Fig. 4). Two-sided confidence intervals for
the likelihood of distant recurrence are generally
±2 to 3 percent for recurrence scores of less than 30
and ±3 to 5 percent for recurrence scores of 30 to
50. For recurrence scores greater than 50, the like-
lihood of distant recurrence increases only slightly
as the score increases. On average, patients with re-
currence scores greater than 50 (12 percent of the
668 patients) had a risk of distant recurrence at 10
years of 33.8 percent (95 percent confidence inter-
Using a prospectively defined gene-expression
assay and an algorithm for calculating recurrence
scores, we were able to quantify the likelihood of
distant recurrence in patients with node-negative,
estrogen-receptor–positive breast cancer who had
been treated with tamoxifen. The difference in the
risk of distant recurrence between patients with low
recurrence scores and those with high recurrence
scores was large and statistically significant. Many
patients (51 percent of the patients in the study)
were categorized as having a low risk, and their rate
of distant recurrence at 10 years was 6.8 percent.
A smaller group of patients (27 percent) was cate-
gorized as having a high risk; their rate of distant
recurrence at 10 years was 30.5 percent — a risk
similar to that observed among patients with node-
positive disease.30 The use of the recurrence score
as a continuous predictor provides an accurate esti-
mate of the risk of distant recurrence in individual
Percentage of Patients Free of Distant Recurrence at 10 Yr
The recurrence score can also predict overall sur-
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The new england journal of medicine
all tumor-size categories. For example, more than a
Intermediate-
third of the patients with small tumors (1 cm in di-
Low-Risk Group Risk Group High-Risk Group
ameter or smaller) had intermediate-risk or high-risk recurrence scores and a 15 to 20 percent risk of
We evaluated the recurrence score in the context
of the interobserver variability in tumor grading that
is typical in oncology practice. Tumor grade cor-
relates with the likelihood of recurrence when an-alyzed in large populations of patients. However,
previous studies have also documented that the
grading of breast cancer entails a degree of subjec-tive judgment, leading to low concordance among
pathologists. Robbins et al.33 compared the inter-
observer reproducibility in their study to the pub-
Rate of Distant Recurrence at 10 Yr (% of patients)
lished results of four other groups.34-36 Complete
Recurrence Score
agreement in those five studies ranged from 54 per-cent to 83 percent (kappa, 0.17 to 0.73). We found
Figure 4. Rate of Distant Recurrence as a Continuous Function of the Recur-
that the concordance among pathologists for the
rence Score.
poorly differentiated grade is moderate (kappa,
The continuous function was generated with use of a piecewise log-hazard-
0.61) and for the well-differentiated and moderately
ratio model.28 The dashed curves indicate the 95 percent confidence interval. The rug plot on top of the x axis shows the recurrence score for individual pa-
differentiated grades is low (kappa, 0.23 and 0.36,
respectively). Recently, a Breast Task Force serv-ing the American Joint Committee on Cancer didnot add tumor grade to its staging criteria because
vival. This feature is notable, since approximately of the sparseness and variability of the data.3750 percent of the deaths occurred in the absence of
Traditional measures of estrogen-receptor pro-
recurrent breast cancer. In addition, the recurrence tein (by ligand-binding assay) and HER2 (by fluo-score predicts the relapse-free interval (including rescence in situ hybridization) in this study werethe interval free of local and regional recurrences). only weakly predictive of the risk of distant recur-Thus, the recurrence score correlates in a statisti- rence. The quantitative information that the RT-PCRcally significant manner with all the end points we assay provides for ER, HER2, and the other 14 can-examined.
cer-related genes is clearly important.
The patient’s age and the size of the tumor are
It is important to emphasize that we do not
routinely used as predictors of recurrence in breast know whether the genes used in the calculation ofcancer and are incorporated into current treatment the recurrence score correlate with recurrence in theguidelines.13-15 When the recurrence score was population we studied because they show a relationcombined with data pertaining to age and tumor with the natural history of breast cancer, becausesize to predict the risk of distant recurrence, only they predict responsiveness to tamoxifen, or both. the recurrence score remained statistically signif- Esteva et al.38 found no correlation between the re-icant in a multivariate analysis. It is likely that the currence score and the rate of distant recurrence indecreased risk of recurrence in older patients is 149 selected patients with node-negative breast can-not related to age itself but instead, at least in part, cer who did not receive adjuvant systemic therapy. to the higher amount of estrogen-receptor protein However, in that cohort, patients with well-differ-in older patients’ tumors.31,32 The contribution of entiated tumors (i.e., those with a low nuclear grade)ER expression to the recurrence score captures had a surprisingly worse survival rate than patientsthis factor.
with moderately differentiated or poorly differenti-
The subgroup analysis of patients according to ated tumors. The current data cannot be used to se-
age and tumor size was exploratory, and the results lect women for tamoxifen therapy. should be interpreted cautiously. Nevertheless, the
Few assays have been rigorously validated for
recurrence score was a consistent predictor of dis- use as prognostic or predictive tests in oncology. tant recurrence in patients of all age categories and We conducted a prospectively designed validation
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m u l t i g e n e a s s a y t o p r e d i c t r e c u r r e n c e o f b r e a s t c a n c e r
study of a multigene-expression assay in a large, ic Health and being employed by Genomic Health, the commercialmulticenter clinical trial. It is of practical impor- entity that sponsored the study. Dr. Walker reports having received
consulting fees from Genomic Health and owning stock options.
tance that this assay involves the use of very small Dr. Baehner reports having received consulting fees from Genomicamounts of the tumor tissue that is routinely pre- Health; Dr. Paik, lecture fees from Genomic Health; and Dr. Wicker-pared after surgery.
ham, consulting fees from AstraZeneca.
We are indebted to Tracy George (Stanford University); to Terry
Supported by the National Surgical Adjuvant Breast and Bowel
Mamounas (NSABP) for his comments; to Randy Scott, Debjani
Project and Genomic Health. Genomic Health paid the costs of
Dutta, Daniel Klaus, Mylan Pho, Anhthu Nguyen, Jennie Jeong,
shipping the paraffin-embedded tissue sections and performing all
Stephanie Butler, Joel Robertson, Ken Stineman, Marti Haskins,
and Claire Alexander (all of Genomic Health); and to Clifford Hudis,
Drs. Paik, Shak, Baker, Cronin, and Walker report holding a patent
Tom Fleming, David Botstein, David Agus, and Fred Cohen for their
for the RT-PCR assay used in this study. Drs. Shak, Baker, Cronin, and
Watson report holding equity ownership or stock options in Genom-
r e f e r e n c e s 12. Bast RC Jr, Ravdin P, Hayes DF, et al.
Gene expression patterns of breast carcino-
mas distinguish tumor subclasses with clin-
Molecular Analysis Project: weaving a rich
use of tumor markers in breast and colorec-
ical implications. Proc Natl Acad Sci U S A
cancer research tapestry. Cancer Cell 2002;
tal cancer: clinical practice guidelines of the
American Society of Clinical Oncology. J Clin
24. Esteban J, Baker J, Cronin M, et al. Tumor
Oncol 2001;19:1865-78. [Errata, J Clin Oncol
ing human tumor cells. N Engl J Med 2002;
cancer: multi-gene RT-PCR assay of paraf-
347:1593-603. [Erratum, N Engl J Med 2003;
13. Goldhirsch A, Glick JH, Gelber RD,
fin-embedded tissue. Prog Proc Am Soc Clin
International Consensus Panel on the Treat-
25. Cobleigh MA, Bitterman P, Baker J, et al.
al. A randomized clinical trial evaluating ta-
ment of Primary Breast Cancer: Seventh In-
Tumor gene expression predicts distant dis-
moxifen in the treatment of patients with
ternational Conference on Adjuvant Thera-
ease-free survival (DDFS) in breast cancer
node-negative breast cancer who have estro-
py of Primary Breast Cancer. J Clin Oncol
patients with 10 or more positive nodes: high
gen-receptor-positive tumors. N Engl J Med
throughout RT-PCR assay of paraffin-embed-
14. Eifel P, Axelson JA, Costa J, et al. National
Fisher B, Jeong JH, Bryant J, et al. Treat-
Institutes of Health Consensus Development
Conference Statement: adjuvant therapy for
26. Paik S, Shak S, Tang G, et al. Multi-gene
receptor-positive breast cancer: long-term
breast cancer, November 1-3, 2000. J Natl
RT-PCR assay for predicting recurrence in
Breast and Bowel Project randomised clini-
15. Carlson RW, Edge SB, Theriault RL.
NSABP studies B-20 and B-14. Breast Cancer
NCCN: breast cancer. Cancer Control 2001;
Fisher B, Dignam J, Wolmark N, et al. 27. Elston CW, Ellis IO. Pathological prog- 16. Davis RE, Staudt LM. Molecular diag-
nostic factors in breast cancer. I. The value of
node-negative, estrogen receptor-positive
histological grade in breast cancer: experi-
breast cancer. J Natl Cancer Inst 1997;89:
ence from a large study with long-term fol-
low-up. Histopathology 1991;19:403-10. 17. Perou CM, Sorlie T, Eisen MB, et al. Mol- 28. Gray RJ. Flexible methods for analyzing
ecular portraits of human breast tumours.
survival data using splines, with applications
with other patient and tumor characteristics
to breast cancer prognosis. J Am Stat Assoc
for the prognosis of node-negative, estrogen-
18. Golub TR, Slonim DK, Tamayo P, et al.
receptor-positive breast cancer. Breast Can-
Molecular classification of cancer: class dis-
29. Valenta Z, Weissfeld L. Estimation of the
covery and class prediction by gene expres-
survival function for Gray’s piecewise-con-
sion monitoring. Science 1999;286:531-7.
stant time-varying coefficients model. Stat
ship between prognostic and predictive fac-
19. van ’t Veer LJ, Dai H, van de Vijver MJ, et
tors in the management of breast cancer.
al. Gene expression profiling predicts clini-
30. Fisher B, Redmond C, Legault-Poisson
Breast Cancer Res Treat 1998;52:261-88.
cal outcome of breast cancer. Nature 2002;
in nodal-negative breast cancer? Arbiter. Eur
20. van de Vijver MJ, He YD, van ’t Veer LJ,
in the treatment of positive-node breast can-
et al. A gene-expression signature as a pre-
cer patients aged 50 years and older with tu-
dictor of survival in breast cancer. N Engl
mors responsive to tamoxifen: results from
molecular markers in early breast cancer.
the National Surgical Adjuvant Breast and
21. Schena M, Shalon D, Davis RW, Brown 10. Fitzgibbons PL, Page DL, Weaver D, et al.
PO. Quantitative monitoring of gene expres-
Prognostic factors in breast cancer: College
31. Fisher B, Wickerham DL, Brown A, Red-
of American Pathologists Consensus State-
microarray. Science 1995;270:467-70. 22. Cronin M, Pho M, Dutta D, et al. Mea-
gesterone receptor values: their distribution,
surement of gene expression in archival par-
degree of concordance, and relation to num-
11. Clinical practice guidelines for the use of
ber of positive axillary nodes. J Clin Oncol
tumor markers in breast and colorectal can-
performance of a 92-gene reverse transcrip-
cer: adopted on May 17, 1996 by the Ameri-
32. Anderson WF, Chatterjee N, Ershler
can Society of Clinical Oncology. J Clin Oncol
23. Sorlie T, Perou CM, Tibshirani R, et al.
cancer phenotypes in the Surveillance, Epi-
Downloaded from www.nejm.org at Stanford University on December 14, 2004 .
Copyright 2004 Massachusetts Medical Society. All rights reserved.
m u l t i g e n e a s s a y t o p r e d i c t r e c u r r e n c e o f b r e a s t c a n c e r
demiology, and End Results database.
al. Prognostic significance of tumor grade in
on Cancer staging system for breast cancer.
Breast Cancer Res Treat 2002;76:27-36.
clinical trials of adjuvant therapy for breast
33. Robbins P, Pinder S, de Klerk N, et al.
cancer with axillary lymph node metastasis. 38. Esteva FJ, Sahin AA, Coombes K, et al.
Histological grading of breast carcinomas:
Multi-gene RT-PCR assay for predicting re-
36. Theissig F, Kunze KD, Haroske G, Meyer
currence in node negative breast cancer pa-
W. Histological grading of breast cancer:
tients — MD Anderson Clinical Validation
34. Hopton DS, Thorogood J, Clayden AD,
interobserver, reproducibility and prognos-
Study. Breast Cancer Res Treat 2003;82:A16.
MacKinnon D. Observer variation in histo-
tic significance. Pathol Res Pract 1990;186:
logical grading of breast cancer. Eur J Surg
Copyright 2004 Massachusetts Medical Society.37. Singletary SE, Allred C, Ashley P, et al. 35. Davis BW, Gelber RD, Goldhirsch A, et
Downloaded from www.nejm.org at Stanford University on December 14, 2004 .
Copyright 2004 Massachusetts Medical Society. All rights reserved.
DETAILED SYLLABUS MSc Pharma Chemistry Semester-I QUANTITATIVE ANALYTICAL METHODS General: Computation of analytical results, significant figures, concept of error, precision and accuracy, standard deviation, rejection of doubtful values with special reference to volumetric and gravimetric analysis, calibration of analytical equipments. Fundamental of volumetric analysis: Methods
Più precisamente le condizioni associate all’EN possono distinguersi a seconda delle manifestazioni cliniche: PANNICULITE ED ERITEMA NODOSO 1)-eritema nodoso con linfoadenopatia ilare:sarcoidosi; Tbc; coccidiomicosi; istoplasmosi; m La panniculite è un processo infiammatorio del di Hodgkin; infezioni da Chlamydia; tessuto adiposo sottocutaneo, molto Yersiniosi; Blastomicosi. eterog