
[Cancer Research 60, 5427-5433, October 1, 2000]
© 2000 American Association for Cancer Research
Polyadenylate Polymerase Enzymatic Activity in Mammary Tumor Cytosols: A New Independent Prognostic Marker in Primary Breast Cancer1
Andreas Scorilas2,
Maroulio Talieri,
Alexandros Ardavanis,
Nelly Courtis,
Euthymios Dimitriadis,
Julia Yotis,
Chris Milton Tsiapalis and
Theoni Trangas3
G. Papanikolaou Research Center of Oncology, Athens 11522, Greece [A. S., M. T., N. C., E. D., C. M. T., T. T.], and 1st Medical Oncology Department and Hormone Receptor Unit, St. Savvas Hospital, Athens 11522, Greece [A. A., J. Y.]
 |
ABSTRACT
|
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Polyadenylate polymerase (PAP) is one of the enzymes involved in the
formation of the polyadenylate tail of the 3' end of mRNA. High levels
of PAP activity were associated with rapidly proliferating cells. Here
we evaluate the prognostic value of PAP activity in breast cancer
patients. PAP specific activity values were measured by a highly
sensitive assay in the tumor cytosols of 228 women with primary breast
cancer. The median follow-up period was 58 months. PAP specific
activity values ranged from 2.139.4 units/mg protein in the breast
tumor cytosols, and the activity was correlated with the level of
expression of the antigen. An optimal cutoff value of 5.5 units/mg
extracted protein was first defined by statistical analysis. PAP status
was then compared with other established prognostic factors in terms of
relapse-free survival (RFS) and overall survival (OS). PAP activity
levels had a tendency to increase with tumor-node-metastasis (TNM)
stage and were higher in node-positive patients. Evaluation of the
prognostic value of PAP was performed using univariate and multivariate
analyses. Univariate analysis showed that PAP-positive patients had a
less favorable prognosis for both RFS (relative risk (RR) = 2.35; P < 0.001] and OS (RR = 3.15;
P < 0.001). PAP significantly added to the
prognostic power for RFS (RR = 2.51; P = 0.0012) and OS (RR = 4.21; P < 0.001) in multivariate analysis, whereas patient age, tumor size, and
nodal and ER status remained independent factors for predicting
survival. When only node-negative patients were examined, PAP was found
to be an independent factor for predicting RFS (RR = 3.68;
P = 0.0032) and OS (RR = 4.81;
P < 0.001). PAP did not appear to have a
prognostic significance for node-positive patients. PAP is a new
prognostic factor for early recurrence and death in breast cancer
patients. Our results suggest that PAP may be used as an independent
unfavorable prognostic factor in node-negative breast cancer patients
because there were no significant associations between PAP and the
other prognostic indicators evaluated in this group of patients.
 |
INTRODUCTION
|
|---|
Breast cancer is the most common malignancy among women and is
responsible for an estimated 24% of all cancers and 18% of all cancer
deaths (1)
. Ultimately, about 1 of 1314 women will
develop breast cancer during their lifetime, and at least half of these
patients will die as a consequence of metastatic disease. One-third of
node-negative breast cancer patients are expected to have a distant
recurrence within 10 years because occult disseminated disease, which
is difficult to detect, may have been present at the time of diagnosis.
Furthermore, the course of the disease and response to treatment vary
greatly (1)
.
In view of the heterogeneity of breast carcinomas, in terms of both
their biological profile and their clinical outcome, the need for
reliable prognostic parameters is obvious. Classical prognostic factors
in primary breast carcinoma are tumor size, nodal status, and distant
metastases (TNM status) and age. Histopathology and nuclear grading are
also standard prognostic variables (2)
. The presence of
steroid receptors serves predominantly as an indicator of hormone
responsiveness (3)
. Ploidy [DNA content (4
, 5)
] and proliferative capacity [S-phase fraction
(6)
] are the most well-characterized prognostic factors
(7)
. These measurements have been shown to predict
disease-free survival and
OS4
in node-negative and node-positive breast cancer. Additional prognostic
indicators such as oncogenes, growth factors, and secretory proteins
have been investigated and appear to characterize the behavior of the
tumor with respect to differentiation extent, growth rate, and
metastatic pattern. The expression of the protease cathepsin D has been
reported to be an unfavorable prognostic parameter (8)
and
has been found to promote invasive growth and metastasis of tumor cells
(9)
. Overall, there is a need to identify as many cellular
parameters as possible that will help define the biological profile of
the breast tumor cell.
PAP, whose biological function is the polyadenylation of mRNAs, appears
to be regulated within the cell cycle and has been shown to vary
greatly in terms of enzymatic activity among normal and neoplastic
tissues (10
, 11)
. The poly(A) tail found in almost all
eukaryotic mRNA is important in enhancing translation initiation and
determining mRNA stability (12)
. Control of the poly(A)
tail synthesis has the potential to be a key regulatory step in gene
expression. PAP has been reported to reflect the proliferative activity
of the cell, and it is also associated with less differentiated cells
(11
, 12)
. Most studies report that rapidly proliferating
and actively metabolizing lymphocytes have higher levels of PAP
activity (13
, 14)
. Furthermore, it has been suggested to
be a unfavorable prognostic factor in chronic leukemias
(15, 16, 17)
.
PAP activity has been studied initially in the cytosol of breast tumors
from 62 untreated patients, and significant association was observed
between high PAP activity values and the TNM stage of the disease, node
invasiveness, and c-erbB-2 overexpression (18)
.
The objective of the present study was to assess the significance of
PAP activity in breast cancer prognosis. We measured PAP activity in
the tumor cytosols of 228 breast cancer patients and analyzed the
relation of PAP to other clinicopathological variables for the RFS and
OS using univariate and multivariate analyses.
 |
MATERIALS AND METHODS
|
|---|
Population Studied.
Tumor specimens from 228 patients who underwent surgery for primary
breast cancer between 1989 and 1993 at the Oncologic Hospital of Athens
St Savvas as well as 15 nonmalignant breast tissues for negative
control were evaluated in this study. Tumor specimens were drawn from a
pool of frozen specimens originally submitted to the Laboratory of
Hormone Receptors for steroid receptor analysis. A computerized
database containing updated information concerning each patient,
together with receptor status, nodal status, size of the primary tumor,
number of positive nodes, age and menopausal status of the patients,
and/or differentiation grade of the tumor, was available for
statistical analysis.
The age of patients ranged from 2496 years; the median age was 62
years. All patients had a histologically confirmed diagnosis of primary
breast cancer and received no treatment before surgery. Modified
mastectomy (98 patients) and breast-conserving lumpectomy (121
patients) with axillary lymph node dissection were performed on 96% of
the patients. For patients who had axillary node dissection, the
positivity rate for cancer involvement of lymph nodes was 61.8%. The
sizes of the tumors resected during surgery ranged from 0.67.2 cm,
and the mean and median sizes were 2.9 and 2.8 cm, respectively.
Clinical staging was performed according to the Postsurgical
International Union against Cancer TNM classification system
(19)
. Histological grade of the tumors was determined
according to criteria reported by Bloom and Richardson
(20)
and was known for 224 patients. Postoperative
treatment was known for 217 of 228 patients, and postoperative
locoregional radiotherapy was given to 158 patients. Disease relapse
was defined as the first documented evidence of local or regional
axillary recurrence or distant metastasis.
Follow-up information was available for 223 patients and included
survival status (alive or deceased) and disease status (relapse free or
recurrence/metastasis) along with the dates of the events and cause of
death, if applicable. The median follow-up was 58 months. The
distribution of follow-up times for patients still alive at the time of
analysis ranged from 2474 months with a median of 62 months; only six
and two patients had been followed for less than 48 and 36 months,
respectively. Follow-up times for the entire cohort, however, ranged
from 1075 months with a median of 58 months. The RFS in each case was
the time interval between the date of surgical removal of the primary
cancer and the date of the first documented evidence of relapse. The OS
was the time interval between the date of surgery and the date of death
or the date of last follow-up for those who were alive at the end of
the study.
Preparation of Cytosolic Extracts.
Tumor tissues (n = 228) were stored at
-80°C until pulverization in liquid nitrogen and cytosolic
extraction. The extraction procedure consisted of treatment of the
tissue powders (1050 mg) with a cell lysis buffer (500 µl)
containing 50 mM Tris (pH 8.0), 150 mM NaCl, 5
mM EDTA, 1% NP40, and 1 mM
phenylmethylsulfonyl fluoride for 30 min on ice and subsequent
separation of cell debris from the cytosols by centrifugation at
15,000 x g for 30 min at 4°C. Supernatants
were assayed for total protein concentration immediately after
centrifugation by the Lowry method.
PAP Activity Assay.
The assay measures the incorporation of [5'-8-3H]ATP into
acid-insoluble material using poly(A) as initiator, as described
previously (14
, 18)
. One unit of enzyme activity is
defined as 1 nmol of radioactive radionucleotide incorporated per hour.
Specific activity is expressed as units of activity per milligram of
protein.
Western Blot Analysis.
Cell lysates were run on 8% SDS-PAGE gels and transferred
electrophoretically to Immobilon-P (Millipore) membranes. Rabbit
polyclonal antiserum raised against recombinant bovine PAP expressed in
Escherichia coli (courtesy of Dr. E. Wahle and A. Jenny) was
used at a dilution of 1:2500. Western blots were visualized with the
enhanced chemiluminescence system by Amersham according to the
manufacturers instructions. The films were scanned using the UMAX
Scanner (Vista-S6) and quantitated using the Image 1.44 program.
Steroid Hormone Receptor Analyses.
Steroid hormone receptors were quantified as described elsewhere
(21)
. The results of the dual ligand binding assay, in
which dextran-coated charcoal was used to separate bound ligand from
free ligand, were interpreted by Scatchard analysis (22)
.
Tumors with ER and PR concentrations of
10 fmol/mg protein were
considered receptor negative, those with ER and PR concentrations of
10300 fmol/mg were characterized as positive, and those with receptor
concentrations above such values were considered strong positive, as
described previously (23
, 24)
.
Statistical Analysis.
For analysis of the data, patients were subdivided into groups on the
basis of different clinical or pathological parameters. Because the
distribution of PAP activity levels was not Gaussian, the analysis of
differences in PAP values between two groups was performed with the
nonparametric Mann-Whitney U test. Similarly, relationships
between more than two groups were determined by the Kruskal-Wallis
test. In this analysis, PAP was used as a continuous variable. PAP
values were also classified into two categories (PAP-positive and
PAP-negative groups), and associations between PAP status and other
qualitative variables were analyzed using the
2 and
Fishers exact tests, where appropriate. An optimal cutoff point equal
to 5.5 units/mg protein was found by
2 analysis. ER and
PR values were categorized into strong positive, positive, and negative
status as described above. Tumor size was classified into three
categories: (a) <2 cm; (b) 25 cm; and
(c) > 5 cm. Lymph node status was either
positive (any positive number of nodes) or negative. Age was
categorized into three groups: (a) <45 years;
(b) 4555 years; and (c) >55 years. Survival
analyses were performed by constructing Kaplan-Meier RFS and OS curves
(25)
, where differences between the curves were evaluated
by the log-rank test and by estimating the RRs for relapse and death
using the Cox proportional hazards regression model (26)
.
Cox regression analyses using SAS statistical software (SAS Institute,
Cary, NC) were used to calculate the RR and 95% CI. Only patients for
whom the status of all variables was known were included in the
multivariate models.
 |
RESULTS
|
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Distribution of PAP Activity and Relationship to PAP Antigen
Levels
The PAP activity of the 228 cytosolic samples varied widely from
2.139.4 units/mg protein; the median was 6.3 units/mg protein, and
the mean was 9.9 units/mg protein. Fig. 1
shows the distribution of the activity, which was slightly positively
skewed. The range of PAP activity in the cytosols derived from 15
nonmalignant samples was 1.54.8 units/mg protein; the mean and median
values were 3.5 and 2.8 units/mg protein, respectively. To investigate
the variation in PAP activity values recorded in the breast tumor
cytosols, Western blot analysis was performed to determine the level of
PAP antigen in the cytosols. One major protein band was present in all
tumor cytosols examined, whereas in extracts from the MCF-7 breast
cancer cell line, additional forms of PAP were apparent (Fig. 2)
. Furthermore, the data indicated that PAP activity values correlated
with the level of expression (intensity) of the
Mr 80,00090,000 protein. Thus, we are
inclined to conclude that the differences in PAP enzymatic activity in
breast tumor cytosols were due to different levels of expression of an
Mr 80,00090,000 protein rather than
differences in posttranslational modification.

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Fig. 1. Distribution of PAP concentrations in 228 human breast
carcinomas. The median and mean values are 6.3 and 9.9 units/mg
protein, respectively. The arrow indicates the selected
cutoff level (5.5 units/mg protein).
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Fig. 2. A, Western blot analysis of PAP protein levels.
PAP levels were determined using 20 µg of protein from the MCF-7
breast cancer cell line and breast tumor cytosols (Lanes
15). The corresponding PAP enzymatic activity values are
recorded on each lane. B, schematic representation of the
results obtained by densitometry versus the corresponding
PAP activity values (r = 0.962;
P = 0.002).
|
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Relationship of PAP Activity to Other Prognostic Variables
An optimal cutoff value was defined by
2 analysis,
based on the ability of PAP values to predict the RFS and OS for the
population studied. As shown in Fig. 3
, the specific activity of 5.5 units/mg protein was shown to be the
optimal cutoff value (
2 = 12.7 and
P < 0.001 and
2 = 16.1 and P < 0.001 for RFS and OS,
respectively). This cutoff (47th percentile) identifies
53% of patients as being PAP positive. PAP positivity was found more
frequently in patients with node-positive (P = 0.041) and stage III disease (P = 0.033), in strong positive ER (P < 0.001)
and PR (P = 0.013) tumors, and in invasive
ductal carcinomas. Conversely, PAP positivity was absent in invasive
lobular carcinoma and other histological tumor types
(P < 0.001). No significant associations
between PAP status and patient age, tumor size, grade, and cathepsin D
status were observed (Table 1
; Figs. 4
and 5
).

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Fig. 3. Determination of the optimal cutoff value for PAP status
for prediction of RFS of breast cancer patients. The 2
values obtained at each cutoff value are plotted against the value
itself.
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Fig. 4. Relationship between PAP concentration and nodal status.
The PAP concentrations in 220 primary breast cancer cytosols are
plotted according to axillary lymph node status, which is denoted as
N(+) or N(-) for lymph node-positive or -negative status,
respectively. P was determined from Mann-Whitney tests.
Numbers in parentheses indicate the number of
patients in each group. The broken line indicates the cutoff
level of 5.5 units/mg protein that was used in survival analysis.
Horizontal lines indicate mean PAP concentration.
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Fig. 5. Relationship between PAP concentration and TNM stage. The
PAP concentrations in 219 primary breast cancer cytosols are plotted
according to stage I, II, or III. P was determined by the
Kruskall-Wallis test. The numbers in parentheses
indicate the number of patients in each group. The broken
line indicates the cutoff level of 5.5 units/mg protein that was
used in survival analysis. Horizontal lines indicate the
mean PAP concentration for each stage of cancer.
|
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PAP Activity as a Predictor of Breast Cancer Patient Survival
Univariate and Multivariate Analysis.
Follow-up information was available for 223 of the 228 patients
included in the study. During the follow-up period, 78 patients
(35.0%) relapsed, and 54 patients (24.2%) died. In Cox univariate
survival analysis, the risks of relapse and death were not
significantly related to PAP, when PAP was considered as a continuous
variable. However, a significantly increased risk for both relapse and
death was associated with PAP positivity using the PAP cutoff value of
5.5 units/mg protein (Table 2)
. These regression models showed an approximately 2-fold higher risk of
relapse and a 3-fold higher risk of death in patients with PAP-positive
tumors compared with those whose tumors were PAP negative. The
Kaplan-Meier survival curves (Fig. 6)
also showed that PAP-negative patients had more favorable RFS and OS
rates than PAP-positive patients. The difference in survival rates
between the two groups was greater for OS than for RFS. In the
multivariate analysis of PAP, the Cox regression models were adjusted
for age, nodal status, tumor size, grade, and cathepsin D, ER, and PR
status, which were used as categorical variables (except for tumor
size, which was used as a continuous variable) as described above.
Patient age, tumor size, and ER and nodal status were thus shown to be
independent factors for predicting both RFS and OS. PAP significantly
added to the prognostic power in the multivariate model of RFS
(RR = 2.51; P = 0.0012) and OS
(RR = 4.21; P < 0.001)
analyses.

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Fig. 6. RFS (A) and OS (B) curves in
patients with PAP-positive and PAP-negative breast tumor cytosols,
followed for a median of 58 months. The cutoff value for PAP-positive
status was 5.5 units/mg protein.
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Univariate and Multivariate Analysis in Patients Classified by
Nodal Status.
Because node-positive patients differ substantially from node-negative
patients in terms of prognosis and postoperative treatment, separate
univariate and multivariate Cox regression models were developed to
evaluate the effect of PAP on RFS and OS for each of the two groups of
patients. The results are shown in Table 2
and Fig. 7
. Node-negative patients with PAP-positive tumors tended to have an
approximately 5-fold increase in risk for relapse or death. PAP
activity proved to be an independent factor for predicting RFS
(RR = 3.68; P = 0.0032) and OS
(RR = 4.81; P < 0.001) in
node-negative patients (Fig. 7, A and B)
.
Cathepsin D and ER significantly added to the prognostic power in the
multivariate model of analysis for RFS and OS, respectively. In
node-positive patients, no statistically significant difference was
observed in RFS and OS between PAP-positive and -negative tumors (Fig. 7, B and D)
.

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Fig. 7. RFS (A and B) and OS (C
and D) curves of patients with PAP-positive and PAP-negative
breast cancer, stratified by their nodal status [node-negative
(A and C); node-positive (B and
D)]. Cutoff value for PAP-positive status was 5.5 units/mg
protein.
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 |
DISCUSSION
|
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PAP activity has been reported in the past to have prognostic
value, at least in chronic leukemias (16
, 17)
. Our
preliminary data show that PAP activity is related with other
parameters linked to poor prognosis (18)
. PAP values had a
tendency to increase with tumor grade and were higher in node-positive
patients. An association of PAP activity with c-erbB-2
overexpression has also been observed (18)
.
Overexpression of c-erbB-2 is considered to be an
unfavorable prognostic indicator for both node-negative and
node-positive patients (27
, 28)
.
In this study, PAP activity was measured in the cytosols of 228 women,
and these values were analyzed comparatively with the follow-up data of
223 of the patients. On dividing the patients into PAP-positive and
PAP-negative groups using a cutoff value of 5.5 units/mg protein, a
relation emerged between PAP activity and other unfavorable prognostic
parameters. A higher percentage of tumors positive for PAP activity was
recorded within the node-positive group of patients, the stage III
disease group, and the invasive ductal tumors, in comparison with other
histological types. These data confirmed previous observations linking
high PAP activity levels with unfavorable prognostic parameters in
breast cancer.
This is the first study of the prognostic value of PAP activity in
breast cancer. Follow-up information for 223 patients indicated that
patients with PAP-positive tumors had a 2-fold increase in risk of
relapse and a 3-fold increase in risk of death, as compared with those
with PAP-negative tumors. PAP activity significantly added to the
prognostic power of parameters such as age, nodal status, tumor size,
grade, and cathepsin D and steroid receptor status in the multivariate
models of analysis for both RFS and OS. The prognostic significance of
PAP activity was more prominent within the group of node-negative
patients. A 5-fold increase in the risk for relapse or death was
calculated for node-negative patients whose tumors showed high PAP
activity. Our data indicate that PAP activity may be an independent
factor of poor prognosis.
Because very little is known about the physiological role of PAP
in breast tissue, a hypothesis explaining the mechanism by which PAP
expression may confer poor prognosis in breast cancer, especially in
node-negative patients, is at present difficult to formulate; it is
also difficult to correlate PAP measurements with global or
individual mRNA polyadenylation, a highly regulated multicomponent
process. A strong positive association between high ER content (>300
fmol/mg) and PAP activity was observed. The presence of ER in tumor
cells is a well-established predictor of response to endocrine therapy
but is a weak prognostic indicator. Moreover, a very high ER
concentration may be a negative prognostic indicator. Patients with
very high ER content have been reported to have a poor prognosis
compared with patients with a low concentration of ER (29
, 30)
. It was recently reported that whereas the presence of ER
and expression of the proliferation-related marker Ki-67 are mutually
exclusive in normal proliferating epithelium, in breast cancer, they
are often coexpressed (31)
. If PAP is increased in
proliferating cells, it is not surprising that its expression
correlates with ER content.
The poly(A) tail is present at the 3' end of virtually all mRNAs and
affects both cytoplasmic mRNA stability and translatability
(12)
. Formation of this structure involves endonucleolytic
cleavage of the mRNA precursor coupled with poly(A) synthesis, a
reaction that requires several protein factors. Two multisubunit
factors are required for specification of the poly(A) site and
formation of a stable protein-RNA complex. Subsequently, two additional
proteins, as well as PAP, join the complex and are required for
cleavage of the pre-mRNA and synthesis of the poly(A) tail
(32)
. Regulation of individual components of the
polyadenylation process has been established, for example, during the
cell cycle and cellular differentiation (13
, 33
, 34)
.
Furthermore, inappropriate RNA processing is prevented by the
BRCA1-associated RING domain protein (BARD1) that interacts with the
polyadenylation factor CstF-50 and inhibits polyadenylation in
vitro (35)
.
In mammalian cells, high levels of PAP activity have been
reported in rapidly proliferating cells and in neoplastic cells
(11
, 14, 15, 16, 17
, 36)
. Earlier reports attribute increased
levels of PAP activity in neoplasia to phosphorylation
(37)
. However, recent data indicate that among the several
species of PAP characterized by varying degrees of phosphorylation, the
hyperphosphorylated species represents a form with reduced enzymatic
activity. It has been shown that PAP can be phosphorylated in
vivo and in vitro by p34(cdc2)/cyclin B
(maturation/mitosis-promoting factor) at four nearby nonconsensus
cyclin-dependent kinase sites (38)
. PAP becomes
hyperphosphorylated both during meiotic maturation of Xenopus
laevis oocytes and in HeLa cells arrested at M phase, times in the
cell cycle at which maturation/mitosis-promoting factor is known to be
active (13
, 39)
. Reduced PAP activity probably contributes
tot he well-established reduction in polyadenylated mRNA and/or protein
synthesis known to occur in M-phase cells (13
, 38)
. In the
breast cytosols studied, only one species of PAP was detected by the
polyclonal antibody used, and the intensity of the band corresponded to
the enzymatic activity measured in each sample. The same antibody
recognized additional species in MCF-7 extracts and multiple forms of
PAP in other cell lines (40)
. The possibility that
additional forms of the enzyme exist in the intact breast tumor cells
cannot be excluded. However, the above-mentioned data confirm that the
high activity measured in certain samples reflects overexpression of
the enzyme.
In breast cancer, the degree of lymph node invasion is one of the
major prognostic factors for predicting relapse and death (3
, 41
, 42)
. On the other hand, about 30% of node-negative tumors
relapse, and it has been proposed to apply systematic adjuvant
chemotherapy to all patients, including those who are node-negative
(43)
. However, this adjuvant treatment may be detrimental
to patients who do not require it. In our study, PAP-positive status in
node-negative patients is not only an adverse prognostic factor, but
PAP-positive patients in this group have substantially worse prognosis
than node-positive patients, regardless of PAP status. This may suggest
the potential utilization of PAP to predict which of the node-negative
patients should be treated.
The level of PAP activity in the cytosols of breast tumors may be a
parameter related to proliferation and/or transcriptional activity of
the tumor cell. Alternatively, high levels of PAP activity may reflect
deregulated expression of this protein, which in turn may contribute to
the malignant phenotype of the cell. Both possibilities merit further
examination. Nevertheless, our data indicate that high levels of PAP
activity characterize a more aggressive tumor type, and PAP has been
proven to be a new independent prognostic indicator, particularly in
node-negative patients.
 |
ACKNOWLEDGMENTS
|
|---|
We thank Dr. W. Kellers laboratory (Biozentrum, Basel
University, Switzerland) for the generous gift of PAP polyclonal
antiserum.
 |
FOOTNOTES
|
|---|
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
1 Supported by the Greek Ministry of Health,
European Union Training for Mobility of Researchers. Grant ERBFM
RXCT-960096 (to C. M. T.), and General Secretariat of
Research and Technology Grant 9427/13.9.96 (to T. T.). 
2 Present address: Department of Pathology and
Laboratory Medicine, Mount Sinai Hospital and Department of Laboratory
Medicine and Pathobiology, University of Toronto, 600 University
Avenue, Toronto, Ontario, M5G 1X5 Canada. 
3 To whom requests for reprints should be
addressed, at Papanikolaou Research Center, St. Savvas Hospital, 171
Alexandras Avenue, Athens 11522, Greece. Phone: 30-1-6409168; Fax:
30-1-6420146; E-mail: T.Trangas{at}genet.ath.forthnet.gr 
4 The abbreviations used are: OS, overall
survival; PAP, polyadenylate polymerase; RFS, relapse-free survival;
ER, estrogen receptor; RR, relative risk; poly(A), polyadenylate;
PR, progesterone receptor; CI, confidence interval. 
Received 11/17/99.
Accepted 8/ 2/00.
 |
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