clinicopathological significance of human apurinic/apyrimidinic endonuclease 1 (ape1) expression in...
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PRECLINICAL STUDY
Clinicopathological significance of human apurinic/apyrimidinicendonuclease 1 (APE1) expression in oestrogen-receptor-positivebreast cancer
Tarek M. A. Abdel-Fatah • Christina Perry •
Paul Moseley • Kerstie Johnson • Arvind Arora •
Stephen Chan • Ian O Ellis • Srinivasan Madhusudan
Received: 19 December 2013 / Accepted: 20 December 2013 / Published online: 1 January 2014
� Springer Science+Business Media New York 2013
Abstract Oestrogen metabolites can induce oxidative
DNA base damage and generate potentially mutagenic
apurinic sites (AP sites) in the genomic DNA. If unre-
paired, mutagenic AP sites could drive breast cancer
pathogenesis and aggressive phenotypes. Human apu-
rinic/apyrimidinic endonuclease 1 (APE1) is a key DNA
base excision repair (BER) protein and essential for
processing AP sites generated either directly by oestro-
gen metabolites or during BER of oxidative base dam-
age. Our hypothesis is that altered APE1 expression may
be associated with aggressive tumour biology and impact
upon clinical outcomes in breast cancer. In the current
study, we have investigated APE1 protein expression in
a large cohort of breast cancers (n = 1285) and corre-
lated to clinicopathological features and survival out-
comes. Low APE1 protein expression was associated
with high histological grade (p \ 0.000001), high mitotic
index (p \ 0.000001), glandular de-differentiation
(p \ 0.000001), pleomorphism (p = 0.003), absence of
hormonal receptors (ER-/PgR-/AR-) (p \ 0.0001) and
presence of triple negative phenotype (p = 0.001). Low
APE1 protein expression was associated with loss of
BRCA1, low XRCC1, low FEN1, low SMUG1 and low
pol b (ps \ 0.0001). High MIB1 (p = 0.048), bcl-2
negativity (p \ 0.0001) and low TOP2A (p \ 0.0001)
were likely in low APE1 tumours. In the ER-positive
sub-group, specifically, low APE1 remains significantly
associated with high histological grade, high mitotic
index, glandular de-differentiation (ps \ 0.00001) and
poor breast cancer specific survival (p = 0.007). In the
ER-positive cohort that received adjuvant endocrine
therapy, low APE1 protein expression is associated with
poor survival (p = 0.006). In multivariate analysis, low
APE1 remains independently associated with poor sur-
vival in ER-positive tumours (p = 0.048). We conclude
that low APE1 expression may have prognostic and
predictive significance in ER-positive breast cancers.
Keywords DNA base excision repair � APE1 � Breast
cancer � Biomarker
Introduction
There is an increased risk of breast cancer in women
with chronic exposure to high levels of oestrogens.
Although oestrogen–oestrogen-receptor-mediated cell
proliferation is considered a major cause for breast car-
cinogenesis, there is growing evidence to support a non-
oestrogen-receptor mediated mechanism promoting breast
cancer [1]. Oestrogen metabolites such as 2,3-quinone
catechols and 3,4-quinone catechols are known to induce
genomic DNA damage [2–5]. The 3,4-quinones catechols
Electronic supplementary material The online version of thisarticle (doi:10.1007/s10549-013-2820-7) contains supplementarymaterial, which is available to authorized users.
T. M. A. Abdel-Fatah � P. Moseley � K. Johnson � S. Chan �S. Madhusudan
Department of Oncology, Nottingham University Hospitals,
Nottingham NG51PB, UK
C. Perry � A. Arora � S. Madhusudan (&)
Division of Oncology, Academic Unit of Oncology, School of
Medicine, University of Nottingham, Nottingham University
Hospitals, Nottingham NG51PB, UK
e-mail: [email protected]
I. O. Ellis
Division of Oncology, Department of Pathology, School of
Medicine, University of Nottingham, Nottingham University
Hospitals, Nottingham NG51PB, UK
123
Breast Cancer Res Treat (2014) 143:411–421
DOI 10.1007/s10549-013-2820-7
can interact with adenine and guanine bases to form
unstable depurinating 4-OH-E2/E1-1-N3 adenine and
4-OHE2/E1-1-N7 adducts. Spontaneous depurination of
adducts can generate potentially mutagenic apurinic sites
(also known as AP sites). Interestingly, breast cancer
patients or those at risk of developing breast cancer have
been found to have higher levels of depurinating oest-
rogen–DNA adducts in their urine compared to those at
normal risk for breast cancer. Moreover, oestrogen
metabolites also induce generation of reactive oxygen
species (ROS) that cause oxidative DNA base damage
[2–5]. Taken together the data suggest an important role
for DNA damage in oestrogen-induced breast
carcinogenesis.
Base excision repair (BER) is required for the accu-
rate removal of damaged DNA bases induced by oxi-
dising and alkylating agents. BER is performed by two
major sub-pathways: the short-patch pathway (SP-BER)
and long-patch pathway (LP-BER) [6, 7]. Although the
sub-pathways differ from each other in the length of the
repair patch and in the subsets of enzymes involved, in
both pathways excision of a damaged base by a DNA
glycosylase enzyme leads to the formation of a poten-
tially mutagenic apurinic/apyrimidinic (AP) site inter-
mediate. Human AP endonuclease 1 (APE1), cleaves the
phosphodiester backbone on the 50 side of the AP site to
allow further processing in BER [6, 7]. The DNA repair
function of APE1 is performed by the conserved C-ter-
minal domain of the protein. APE1 is also intimately
involved in the coordination of BER and interacts with
several factors within BER such as DNA glycosylase,
DNA polymerase beta, poly (ADP-ribose) polymerase 1
(PARP1), flap endonuclease 1 (FEN1), X-ray repair
cross-complementing gene 1 (XRCC1) and DNA ligase
(reviewed in [8–11] ). APE1 deficiency leads to accu-
mulation of non-coding AP sites in the genomic DNA
which promotes mutagenicity in cells [12–14]. Moreover,
APE1 variants with differential repair capacity have also
been reported in humans [15]. Polymorphic variants of
APE1 have been implicated in cancer predisposition in
several tumours [8], including in breast cancer [16]. In
human tumours, several groups, including ours, have
demonstrated that altered sub-cellular localisation of
APE1 may have prognostic and/or predictive significance
in lung, prostate, colorectal, ovarian, gastric, pancreatico-
biliary and head & neck cancer patients (reviewed in [8,
17, 18]). In addition to performing DNA repair, APE1 is
also involved in cytoplasmic redox regulation of tran-
scription factors, reducing an oxidized cysteine residue in
the target protein to activate DNA binding and tran-
scriptional activities [8]. Redox regulation is performed
by the N-terminal region of APE1 [8]. APE1 has also
recently been shown to be essential for acetylation-
mediated gene regulation [16] and RNA quality control
[19].
Our hypothesis is that altered APE1 expression may be
associated with aggressive tumour biology and impact
upon clinical outcomes in oestrogen-/oestrogen-receptor-
driven breast cancer. In the current study, we have inves-
tigated APE1 expression in primary breast cancers. We
demonstrate that loss of APE1 expression in ER-positive
breast cancer is associated with an aggressive phenotype
and poor clinical outcome in patients. The data presented
here support the hypothesis that APE1 loss may select for
aggressive ER-positive breast cancers.
Methods
Patients
The study was performed in a consecutive series of 1650
patients with primary invasive breast carcinoma who were
diagnosed from 1986 to 1999 and entered into the Not-
tingham Tenovus Primary Breast Carcinoma series. Patient
demographics are summarised in supplementary table S1.
This is a well-characterized series of patients with long-
term follow-up that have been investigated in a wide range
of biomarker studies [20, 21]. All patients were treated in a
uniform way in a single institution with standard surgery
(mastectomy or wide local excision) with radiotherapy.
Patients received standard surgery (mastectomy or wide
local excision) with radiotherapy. Prior to 1989, patients
did not receive systemic adjuvant treatment (AT). After
1989, AT was scheduled based on prognostic and predic-
tive factor status, including Nottingham Prognostic Index
(NPI), oestrogen-receptor-a (ER-a) status, and menopausal
status. Patients with NPI scores of \3.4 (low risk) did not
receive AT. In pre-menopausal patients with NPI scores of
C3.4 (high risk), classical cyclophosphamide, methotrex-
ate, and 5-flurouracil (CMF) chemotherapy was given;
patients with ER-a positive tumours were also offered HT.
Postmenopausal patients with NPI scores of C3.4 and ER-apositivity were offered HT, while ER-a negative patients
received classical CMF chemotherapy.
Median follow up was 111 months (range
1–233 months). Survival data, including overall survival,
disease-free survival (DFS), and development of loco-
regional and distant metastases (DM), was maintained on a
prospective basis. DFS was defined as the number of
months from diagnosis to the occurrence of local recur-
rence, local lymph node (LN) relapse or DM relapse.
Breast cancer-specific survival (BCSS) was defined as the
number of months from diagnosis to the occurrence of BC
related-death. Local recurrence-free survival (LRS) was
defined the number of months from diagnosis to the
412 Breast Cancer Res Treat (2014) 143:411–421
123
occurrence of local recurrence. DM-free-survival was
defined as the number of months from diagnosis to the
occurrence of DM relapse. Survival was censored if the
patient was still alive at the time of analysis, lost to follow-
up, or died from other causes.
Tumour Marker Prognostic Studies (REMARK) criteria,
recommended by McShane et al. [22], were followed
throughout this study. Various clinicopathologic variables
were recorded for the cohort; including patient age at
diagnosis, tumour size, grade and stage and are displayed
in supplementary table 1. Median follow up was
111 months (range 1–233 months). Survival was censored
if the patient was still alive at the time of analysis, lost to
follow-up, or died from other causes. Ethical approval was
obtained from the Nottingham Research Ethics Committee
(C202313).
Construction of tissue microarray (TMA)
TMAs were constructed. Area-specialised histopathologists
identified and marked formalin-fixed paraffin-embedded
tissue blocks containing tumour tissue on haematoxylin
and eosin-stained slides. Two replicate 0.6-mm cores from
the centre and periphery of the tumours were taken and
arrayed into a recipient paraffin block using a tissue
puncher/arrayer (Beecher Instruments, Silver Spring, MD,
USA). Four micron sections of the tissue array block were
cut and placed on Superfrost Plus slides for immunohis-
tochemical staining.
Immunohistochemistry (IHC)
The TMAs were immunohistochemically profiled for
APE1 and other biological antibodies (Supplementary
Table S2) as previously described [23]. A standard strep-
tavidin–biotin complex method was used to achieve tissue
staining. Negative controls were obtained by omitting the
primary antibody in each case. The tissue slides were de-
paraffinised with xylene and then rehydrated through five
decreasing concentrations of alcohol (100, 90, 70, 50 and
30 %) for 2 min each. Endogenous peroxidise activity was
blocked by incubation in a 1 % hydrogen peroxide/meth-
anol buffer. Antigen retrieval was carried out by micro-
wave treatment of the slides in sodium citrate buffer (pH
6.0) for 10 min. The slides were rinsed in phosphate buffer
solution (PBS) and incubated with blocking serum diluted
in PBS to block non-specific staining. The slides were
incubated for 1 h with the primary rabbit polyclonal anti-
APE-1 antibody clone NB100-101 (Novus Biologicals Inc,
Littleton, CO) at a dilution of 1:500. After washing with
PBS, sections were incubated with the secondary antibody
(Vector Labs, Burilingame, CA, USA) for 30 min followed
by the avidin–biotin complex for a further 30 min. 3-30-
Diaminobenzidine tetrahydochloride was used as a chro-
mogen. All sections were counterstained with Gill’s
haematoxylin.
To validate the use of TMAs for immunophenotyping,
full-face sections of 40 cases were stained and protein
expression levels of APE1 antibodies were compared. The
concordance between TMAs and full-face sections was
excellent (k = 0.8). Positive and negative (by omission of
the primary antibody and IgG-matched serum) controls
were included in each run.
Evaluation of immunohistochemical staining
The tumour cores were evaluated by specialist pathologists
and oncologists blinded to the clinico-pathological char-
acteristics of patients. Whole field inspection of the core
was scored and intensities of nuclear staining were grouped
as follows: 0 = no staining, 1 = weak staining,
2 = moderate staining, 3 = strong staining. The percent-
age of each category was estimated (0–100 %). H score
(range 0–300) was calculated by multiplying intensity of
staining and percentage staining. H score in a range of
0–300 was generated. The median H score of 100 was
taken as the cut-off and low APE1 expression was classed
as H score of B100 and[100 was classed as high for APE1
expression. Not all cores within the TMA were suitable for
IHC analysis as some cores were missing or lacked tumour.
HER2 expression was assessed according to the new
ASCO/CAP guidelines using IHC and fluorescence in situ
hybridisation (FISH) [24].
Breast cancer cell lines and Western blot analysis
MCF-7 and MDA-MB-231 were purchased from ATCC
and grown in RPMI medium supplemented with 10 %
FBS, 1 % penicillin/streptomycin. We generated a stable
APE1 knock down (KD) MDA-MB-231 breast cancer cell
line using shRNAs as described previously [25]. MCF-7,
MDA-MB-231 and APE1 KD MDA-MB-231 cells were
investigated for APE1 expression as well as for the spec-
ificity of the APE1 antibody used in the current study.
Statistical analyses
Data analysis was performed using SPSS (SPSS, version 17
Chicago, IL, USA). Where appropriate, Pearson’s Chi
square, Fisher’s exact, v2 for trend, Student’s t and ANO-
VAs one way tests were performed using SPSS software
(SPSS, version 16, Chicago, IL, USA). Cumulative sur-
vival probabilities were estimated using the Kaplan–Meier
method. Differences between survival rates were tested for
significance using the log-rank test. Multivariate analysis
for survival was performed using the Cox hazard model.
Breast Cancer Res Treat (2014) 143:411–421 413
123
The proportional hazards assumption was tested using
standard log–log plots. Each variable was assessed in
univariate analysis as a continuous and categorical variable
and the two models were compared using an appropriate
likelihood ratio test. Hazard ratios (HR) and 95 % confi-
dence intervals (95 % CI) were estimated for each variable.
All tests were two-sided with a 95 % CI. p values for each
test were adjusted with Benjamini and Hochberg multiple
p value adjustment and an adjusted p value of \0.05 was
considered significant.
Results
APE1 expression in breast cancer (whole cohort)
We first investigated specificity of the antibody used in the
current study in a panel of breast cancer cell lines. MCF-7
and MDA-MB-231 breast cancer cells have robust APE1
expression. APE1 KD MDA-MB-231 has more than 95 %
loss of APE1 protein confirming the specificity of the
antibody used in the current study (Fig. 1a).
A total of 1285 tumours were suitable for APE1 protein
expression analysis (Table 1). 649/1285 (50.5 %) had low
APE1 expression compared to 636/1285 (49.5 %) tumours
that had high APE1 expression (Fig. 1b, c). Low APE1
expression was associated with higher tumour size
(p = 0.021), higher tumour grade (p \ 0.000001), higher
mitotic index (p \ 0.000001), tumour de-differentiation
(p \ 0.000001), pleomorphism (p = 0.003), tumour type
(p = 0.0001) and triple negative disease (p = 0.001)
(Table 1). ER-/PR-/AR- tumours were more likely to
have low APE1 expression (p \ 0.0001). Low APE1
expression was also associated with cytokeratin 18 (CK18)
(p = 0.000049), cytokeratin 19 (CK19) (p = 0.043), bcl-2
negativity (p \ 0.0001), low TOP2A (p = 0.048) and high
MIB1 expression (p = 0.048). DNA repair protein levels
associated with low APE1 expression included absent
BRCA1 (p \ 0.00001), XRCC1 (p \ 0.000001), FEN1
(p \ 0.0001), SMUG1 (p \ 0.000001) and pol b(p \ 0.000001) (Table 1).
The data suggests that low APE1 may be associated with
aggressive breast cancer. We then proceed to conduct sub-
group analysis in ER-positive as well as in ER-negative
breast cancers.
APE1 expression in ER-positive breast cancer
A total of 942 tumours were suitable for analysis. 47 % (446/
942) of patients with ER-positive breast cancer were clas-
sified as having low APE1 expression. Univariate associa-
tions between APE1 expression and clinicopathological
variables are shown in Table 2. Low APE1 expression was
associated higher tumour grade (p \ 0.0001), higher mitotic
index (p \ 0.0001). Tumour de-differentiation (p \ 0.0001)
and tumour type (p = 0.001). PR-/AR- tumours were
more likely to have low APE1 expression (p = 0.004 and
\0.0001, respectively). Low APE1 expression was also
associated with bcl-2 negativity (p = 0.008) and low
TOP2A (p \ 0.0001). DNA repair protein levels associated
with low APE1 expression included absent BRCA1
(p \ 0.0001), XRCC1 (p \ 0.0001), FEN1 (p \ 0.0001)
and SMUG1 (p \ 0.0001) (Table 2).
Loss of APE1 expression was associated with worse
BCCS in patients with tumours positive for ER
(p = 0.007) (Fig. 2a). On subgroup analysis of patients
who were ER-positive/high NPI ([3.4) and treated with
actinAPE1
APE1negative APE1positive
A CB
Fig. 1 APE1 protein expression in breast cancer. a Western blot of
cell extract from a panel of breast cancer cell lines (MCF-7, MDA-
MB-231 and APE1 knock down (KD) MDA-MB-231 cells. See text
for details). b Microphotograph of APE1 negative breast cancer
tissue. c Microphotograph of APE1 positive breast cancer tissue
414 Breast Cancer Res Treat (2014) 143:411–421
123
Table 1 APE1 expression and breast cancer (whole cohort)
Variable Ape1 protein expression p value
Low High
Pathological parameters
Tumour size 0.021
\1 cm 56 (8.6 %) 76 (11.9 %)
[1–2 cm 314 (48.2 %) 332 (52.1 %)
[2–5 cm 260 (39.9 %) 216 (33.9 %)
[5 cm 22 (3.4 %) 13 (2.0 %)
Tumour stage 0.307
1 404 (61.9 %) 395 (61.9 %)
2 182 (27.9 %) 192 (30.1 %)
3 67 (10.3 %) 51 (8.0 %)
Tumour gradea <0.000001
G1 78 (12.0 %) 137 (21.5 %)
G2 193 (29.6 %) 225 (35.3 %)
G3 381 (58.4 %) 275 (43.2 %)
Mitotic index <0.000001
M1 (low;
mitoses \10)
180 (27.7 %) 264 (41.7 %)
M2 (medium;
mitoses 10–18)
124 (19.1 %) 128 (20.2 %)
M3 (high;
mitosis [18)
345 (53.2 %) 241 (38.1 %)
Tubule Formation <0.000001
1 ([75 % of definite
tubule)
25 (3.9 %) 49 (7.7 %)
2 (10–75 % definite
tubule)
172 (26.5 %) 241 (38.1 %)
3 (\10 % definite
tubule)
452 (69.6 %) 343 (54.2 %)
Pleomorphism 0.003
1 (small-regular
uniform)
16 (2.5 %) 18 (2.8 %)
2 (Moderate
variation)
220 (34.0 %) 271 (42.9 %)
3 (Marked variation) 412 (63.6 %) 343 (54.3 %)
Tumour type 0.0001
IDC–NST 358 (63.4 %) 298 (54.8 %)
Tubular carcinoma 87 (15.4 %) 143 (26.3 %)
Medullary carcinoma 22 (3.9 %) 5 (0.9 %)
ILC 48 (8.5 %) 48 (8.8 %)
Others 50 (8.8 %) 50 (9.2 %)
Lymphovascular
invasion
0.861
No 423 (65.9 %) 420 (66.4 %)
Yes 219 (34.1 %) 213 (33.6 %)
Aggressive phenotype
Her2 overexpression 0.287
No 561 (87.9 %) 556 (89.8 %)
Yes 77 (12.1 %) 63 (10.2 %)
Table 1 continued
Variable Ape1 protein expression p value
Low High
Triple negative
phenotype
0.001
No 499 (78.3 %) 531 (85.6 %)
Yes 138 (21.7 %) 89 (14.4 %)
Basal-like phenotype 0.106
No 538 (86.6 %) 544 (89.6 %)
Yes 83 (13.4 %) 63 (10.4 %)
Cytokeratin 6 (CK6) 0.129
Negative 463 (83.1 %) 453 (86.5 %)
Positive 94 (16.9 %) 71 (13.5 %)
Cytokeratin 14 (CK14) 0.354
Negative 478 (87.1 %) 465 (88.9 %)
Positive 71 (12.9 %) 58 (11.1 %)
Cytokeratin 18 (CK18) 0.000049
Negative 73 (14.1 %) 31 (6.3 %)
Positive 445 (85.9 %) 460 (93.7 %)
Cytokeratin 19 (CK19) 0.043
Negative 45 (8.1 %) 26 (5.0 %)
Positive 512 (91.9 %) 493 (95.0 %)
Hormone receptors
ER 0.000054
Negative 197 (30.6 %) 130 (20.7 %)
Positive 446 (69.4 %) 497 (79.3 %)
PgR 0.000003
Negative 296 (48.1 %) 205 (34.7 %)
Positive 320 (51.9 %) 385 (65.3 %)
AR <0.000001
Negative 239 (46.1 %) 134 (29.6 %)
Positive 279 (53.9 %) 365 (73.1 %)
DNA repair
ATM 0.152
Absent 215 (55.4 %) 193 (50.3 %)
Normal 173 (44.6 %) 191 (49.7 %)
BRCA1 0.000003
Absent 121 (26.8 %) 65 (14.3 %)
Normal 331 (73.2 %) 390 (85.7 %)
XRCC1 <0.000001
Low 109 (23.2 %) 40 (8.7 %)
High 360 (76.8 %) 422 (91.3 %)
FEN1 0.000004
Low 256 (79.5 %) 281 (65.7 %)
High 92 (20.5 %) 147 (34.3 %)
SMUG1 <0.000001
Low 199 (47.2 %) 121 (29.8 %)
High 223 (52.8 %) 285 (70.2 %)
Breast Cancer Res Treat (2014) 143:411–421 415
123
adjuvant tamoxifen, low APE1 expression was associated
with a worse BCCS (p = 0.006) (Fig. 2b). No association
was seen between APE1 expression and BCSS in ER-
positive/high NPI patients not treated with tamoxifen
(p = 0.382) in this historical cohort (Fig. 2c; Table 3). On
multivariate Cox regression analysis APE1 was indepen-
dently predictive of BCSS (p = 0.048), alongside tumour
stage (p \ 0.0001), grade (p \ 0.0001) and size
(p = 0.009) in ER-positive breast cancers (Table 4).
APE1 in ER-negative breast cancer
Three hundred and twenty-six patients from the Notting-
ham Tenovus Primary Breast Carcinoma series were clas-
sified as ER-negative; 60.4 % (197/326) had low APE1
expression. In this ER-negative cohort (Table 3), low
APE1 expression was associated with tumour grade
(p = 0.030) and mitotic index (p = 0.016) and also CK18
(p = 0.022), AR (p = 0.006) and XRCC1 (p = 0.002)
expression. On Kaplan–Meier analysis APE1 expression
level was not associated with BCSS (p = 0.992) (Fig. 2d).
No association were seen between APE1 expression and
BCSS in ER-negative/high NPI patients treated or not
Table 1 continued
Variable Ape1 protein expression p value
Low High
Polb <0.000001
Low 310 (50.8 %) 142 (23.3 %)
High 300 (49.2 %) 468 (76.8 %)
Cell cycle/apoptosis regulators
MIB1 0.048
Low 178 (32.2 %) 202 (38.0 %)
High 374 (67.8 %) 330 (62.0 %)
P53 0.067
Low expression 414 (78.1 %) 419 (82.6 %)
High expression 116 (21.9 %) 88 (17.4 %)
Bcl-2 0.000032
Negative 236 (40.8 %) 165 (29.0 %)
Positive 343 (59.2 %) 403 (71.0 %)
TOP2A 0.00034
Low 223 (50.2 %) 174 (38.7 %)
Overexpression 231 (49.8 %) 276 (61.3 %)
Statistically significant p values are shown in bold
BRCA1 breast cancer 1 (early onset), HER2 human epidermal growth
factor receptor 2, ER oestrogen-receptor, PgR progesterone receptor,
CK cytokeratin
Basal-like: ER-, HER2- and positive expression of either CK5/6,
CK14 or EGFR; Triple negative: ER-/PgR-/HER2-a Grade as defined by Nottingham Grading System (NGS)
Table 2 APE1 expression and ER-positive breast cancer
Variable Ape1 protein expression p valve
Low High
Pathological parameters
Tumour size 0.302
\1 cm 47 (10.5 %) 63 (12.7 %)
[1–2 cm 229 (51.3 %) 266 (53.6 %)
[2–5 cm 157 (35.2 %) 159 (32.1 %)
[5 cm 13 (2.9 %) 8 (1.6 %)
Tumour stage 0.843
1 277 (62.1 %) 307 (61.8 %)
2 131 (29.4 %) 152 (30.6 %)
3 38 (8.5 %) 38 (7.6 %)
Tumour gradea <0.0001
G1 73 (16.4 %) 127 (25.6 %)
G2 176 (39.5 %) 207 (41.7 %)
G3 197 (44.2 %) 162 (32.7 %)
Mitotic index <0.0001
M1 (low; mitoses \10) 170 (38.3 %) 246 (49.7 %)
M2 (medium; mitoses 10–18) 102 (23.0 %) 111 (22.4 %)
M3 (high; mitosis [18) 172 (38.7 %) 138 (27.9 %)
Tubule formation <0.0001
1 ([75 % of definite tubule) 23 (5.2 %) 44 (8.9 %)
2 (10–75 % definite tubule) 142 (32.0 %) 215 (43.4 %)
3 (\10 % definite tubule) 279 (62.8 %) 236 (47.7 %)
Pleomorphism 0.348
1 (small-regular uniform) 14 (3.2 %) 16 (3.2 %)
2 (Moderate variation) 205 (46.3 %) 252 (50.9 %)
3 (Marked variation) 224 (50.6 %) 227 (45.9 %)
Tumour type 0.001
IDC–NST 221 (56.2 %) 204 (47.2 %)
Tubular carcinoma 78 (19.8 %) 138 (31.9 %)
Medullary carcinoma 4 (1.0 %) 0 (0 %)
ILC 43 (10.9 %) 46 (10.6 %)
Others 47 (12.0 %) 44 (10.2 %)
Lymphovascular invasion 0.377
No 286 (65.1 %) 336 (67.9 %)
Yes 153 (34.9 %) 159 (32.1 %)
Aggressive phenotype
Her 2 overexpression 0.22
No 408 (93.4 %) 451 (93.4 %)
Yes 29 (6.6 %) 32 (6.6 %)
Basal-like phenotype 1.0
No 446 (100.0 %) 497 (100 %)
Yes 0 (0 %) 0 (0 %)
Cytokeratin 6 (CK6) 0.899
Negative 363 (94.3 %) 397 (94.1 %)
Positive 22 (5.7 %) 25 (5.9 %)
Cytokeratin 14 (CK14) 0.269
Negative 348 (92.1 %) 395 (94.0 %)
Positive 30 (7.9 %) 25 (6.0 %)
Cytokeratin 18 (CK18) 0.112
Negative 17 (4.7 %) 10 (2.5 %)
Positive 347 (95.3 %) 385 (97.5 %)
416 Breast Cancer Res Treat (2014) 143:411–421
123
treated with chemotherapy (p = 0.780 and 0.990, respec-
tively) in this historical cohort (Fig. 2e, f). Also, in a
multivariate model of ER-negative breast cancer patients,
APE1 expression (p = 0.686) was not associated with
BCSS; tumour stage (p \ 0.0001) and grade (p = 0.012)
were the only independent predictors of this outcome
(Table 4).
Discussion
Emerging evidence implicates oestrogen/oestrogen
metabolite-induced DNA base damage as an important
cause for breast carcinogenesis [2–5]. Sub-optimal DNA
base excision repair in cells chronically exposed to oest-
rogen would be expected to lead to accumulation of genetic
mutations that eventually lead to a cancerous phenotype.
Human apurinic/apyrimidinic endonuclease 1 (APE1) is
the key enzyme involved in processing AP sites (apurinic
site) generated during spontaneous depurination of unstable
oestrogen DNA adducts as well as AP sites generated
during repair of ROS induced oxidative base damage by
DNA base excision repair (BER) (reviewed in [8, 10–11]).
Our hypothesis is that in oestrogen/oesteogen receptor-
driven breast cancers, impaired base excision repair and
genomic instability may lead to accumulation of mutagenic
lesions and promote a mutator phenotype with more
malignant clones and aggressive behaviour. As APE1 is a
key player we investigated and have provided the first
evidence that APE1 loss in ER-positive breast cancer is
associated with an aggressive phenotype including high
grade, de-differentiation and mitotic index. Interestingly,
the association between loss of APE1 and loss other DNA
repair factors such as BRCA1, XRCC1 and SMUG1 pro-
vides additional evidence for genomic instability in a
proportion of ER-positive breast cancers. APE1 loss was
associated with poor survival in univariate as well in
multivariate analysis. Interestingly, in ER-positive tumours
that received tamoxifen therapy, low APE1 remains asso-
ciated with poor survival implying that APE1 loss may also
predictive significance. In ER-negative breast cancers,
however, there was no significant association with
aggressive phenotype or survival. The data provides strong
evidence that APE1 loss is an important biomarker in ER-
positive breast cancer. Although our study has limitations
in that it is retrospective, the data presented here is con-
sistent with a previous smaller study of 102 breast carci-
nomas where an inverse correlation between APE1
expression, lymph node status and angiogenesis was
demonstrated [26]. However, the data in breast cancer is in
contrast to that observed in other solid tumours. We and
others have consistently demonstrated that over-expression
of APE1 in tumours such as ovarian, gastric, osteosarcoma,
prostate cancer and colorectal cancer is associated with
adverse prognosis (reviewed in [8, 10–11]). These studies
imply that compared to other solid tumours, the role of
APE1 is distinct in breast cancer and that loss of APE1
Table 2 continued
Variable Ape1 protein expression p valve
Low High
Cytokeratin 19 (CK19) 0.146
Negative 21 (5.5 %) 14 (3.4 %)
Positive 364 (94.5 %) 403 (96.6 %)
Hormone receptors
PgR 0.004
Negative 110 (25.8 %) 83 (17.8 %)
Positive 316 (74.2 %) 384 (82.2 %)
AR <0.0001
Negative 115 (31.6 %) 71 (17.7 %)
Positive 249 (68.4 %) 330 (82.3 %)
DNA repair
ATM 0.107
Absent 137 (52.7 %) 139 (45.9 %)
Normal 123 (47.3 %) 164 (54.1 %)
BRCA1 <0.0001
Absent 66 (20.6 %) 38 (10.5 %)
Normal 254 (79.4 %) 323 (89.5 %)
XRCC1 <0.0001
Low 58 (17.7 %) 23 (6.5 %)
High 269 (82.3 %) 333 (93.5 %)
FEN1 <0.0001
Low 246 (79.4 %) 211 (62.6 %)
High 64 (20.6 %) 126 (37.4 %)
SMUG1 <0.0001
Low 118 (41.7 %) 80 (25.1 %)
High 165 (58.3 %) 239 (74.9 %)
Cell cycle/apoptosis regulators
MIB1 0.372
Low 155 (40.3 %) 180 (43.4 %)
High 230 (59.7 %) 235 (56.6 %)
P53 0.925
Low expression 327 (89.1 %) 360 (88.9 %)
High expression 40 (10.9 %) 45 (11.1 %)
Bcl-2 0.008
Negative 101 (25.1 %) 79 (17.6 %)
Positive 302 (74.9 %) 370 (82.4 %)
TOP2A <0.0001
Low 170 (54.3 %) 131 (37.4 %)
Overexpression 143 (45.7 %) 219 (62.6 %)
Statistically significant p values are shown in bold
BRCA1 breast cancer 1 (early onset), HER2 human epidermal growth factor
receptor 2, ER oestrogen-receptor, PgR progesterone receptor, CK cytokeratin
Basal-like: ER-, HER2- and positive expression of either CK5/6, CK14 or
EGFR; Triple negative: ER-/PgR-/HER2-a Grade as defined by Nottingham Grading System (NGS)
Breast Cancer Res Treat (2014) 143:411–421 417
123
expression could be an important driver of an aggressive
phenotype.
The mechanism of APE1 dysregulation in breast cancer
is largely unknown. However, emerging evidence suggests
potential links between ER, APE1 and key transcription
factors. TP53 transcription factor has previously been
shown to be negative regulator of APE1 in cell line systems
[27]. However, in the current study we did not observe any
significant associations between APE1 and p53 suggesting
that p53 may not have a significant role in vivo. Sp1
transcription factor has also previously been shown to be
an important transcription factor regulating APE1 expres-
sion in cells [28]. Interestingly, ER/Sp-1 interaction has
also been shown to regulate expression of genes involved
in proliferation and cell cycle progression in breast cancer
cells [29]. Moreover, APE1 was recently shown to be an
essential regulator of oestrogen-receptor activity as well as
oestrogen response gene expression in cells [30]. Taken
together the data suggest a complex network regulating
APE1 expression and ER function in breast cancers.
Whether the DNA repair function or the redox regulatory
function of APE1 is involved in breast cancer pathogenesis
is unknown. However, the clinical data presented in our
study investigating nuclear expression of APE1 does sug-
gest a role for the DNA repair function of APE1 in breast
cancer pathogenesis. We have recently demonstrated that
expression of other BER factors such as XRCC1 is also
frequently down-regulated in breast cancer [23]. Low
expression of XRCC1 was also associated with aggressive
ER-positive breast cancers and poor breast cancer specific
survival in that study [23]. Taken together, the data pro-
vides compelling evidence that BER deficiency could be a
biomarker of aggressive ER-positive breast cancers.
The ability of PARP inhibitors (that block BER) to
induce synthetic lethality in BRCA deficient breast and
ovarian cancer, suggest that this approach may be feasible
in other DNA repair deficient systems [31, 32]. As tumours
deficient in APE1 have impaired BER capacity we specu-
late that such tumours may be sensitive to double strand
break (DSB) repair inhibitors such as those targeting ATM
ER+ (whole cohort)
p=0.007
ER+ , NPI>3.4, tamoxifen
p=0.006
ER+ , NPI>3.4, no tamoxifen
p=0.382
p=0.992
ER - (whole cohort)
p=0.990
ER - , NPI>3.4, no chemotherapy
p=0.780
ER -,NPI>3.4, chemotherapy
A CB
D FE
High
Low
High
High
Low Low
LowLow
Low
HighHigh
High
Fig. 2 APE1 protein expression in breast cancer. a Kaplan–Meier
curves showing breast cancer specific survival (BCSS) in ER?
tumours (whole cohort). b Kaplan–Meier curves showing breast
cancer specific survival (BCSS) in high risk ER? tumours that
received tamoxifen. c Kaplan–Meier curves showing breast cancer
specific survival (BCSS) in high risk ER? tumours that received no
tamoxifen. d Kaplan–Meier curves showing breast cancer specific
survival (BCSS) in ER- tumours (whole cohort). e Kaplan–Meier
curves showing breast cancer specific survival (BCSS) in high risk
ER- tumours that received chemotherapy. f Kaplan–Meier curves
showing breast cancer specific survival (BCSS) in high risk ER-
tumours that received no chemotherapy. (See text for details)
418 Breast Cancer Res Treat (2014) 143:411–421
123
Table 3 APE1 expression and ER-negative breast cancer
Variable Ape1 protein expression p valve
Low High
Pathological parameters
Tumour size 0.283
\1 cm 8 (4.1 %) 10 (7.8 %)
[1–2 cm 79 (40.3 %) 59 (45.7 %)
[2–5 cm 100 (51.0 %) 56 (43.3 %)
[5 cm 9 (4.6 %) 4 (3.1 %)
Tumour stage 0.469
1 117 (59.4 %) 80 (62.0 %)
2 51 (25.9 %) 36 (27.9 %)
3 29 (14.7 %) 13 (10.1 %)
Tumour gradea 0.030
G1 1 (0.5 %) 6 (4.7 %)
G2 14 (7.1 %) 12 (9.3 %)
G3 181 (92.3 %) 111 (86.0 %)
Mitotic index 0.016
M1 (low; mitoses \10) 6 (3.1 %) 14 (10.9 %)
M2 (medium; mitoses 10–18) 20 (10.2 %) 12 (9.4 %)
M3 (high; mitosis [18) 170 (86.7 %) 102 (79.7 %)
Tubule formation 0.067
1 ([75 % of definite tubule) 0 (0 %) 3 (2.3 %)
2 (10–75 % definite tubule) 26 (13.3 %) 21 (16.4 %)
3 (\10 % definite tubule) 170 (86.7 %) 104 (81.3 %)
Pleomorphism 0.063
1 (small-regular uniform) 0 (0 %) 1 (0.8 %)
2 (Moderate variation) 11 (5.6 %) 15 (11.7 %)
3 (Marked variation) 185 (94.4 %) 112 (87.5 %)
Tumour type 0.145
IDC–NST 134 (80.7 %) 91 (85.8 %)
Tubular carcinoma 7 (4.2 %) 3 (2.8 %)
Medullary carcinoma 18 (10.8 %) 5 (4.7 %)
ILC 5 (3.0 %) 2 (1.9 %)
Others 2 (1.2 %) 5 (4.7 %)
Lymphovascular invasion 0.241
No 128 (66.0 %) 75 (59.5 %)
Yes 66 (34.0 %) 51 (40.5 %)
Aggressive phenotype
Her 2 overexpression 0.989
No 145 (75.1 %) 94 (75.2 %)
Yes 48 (24.9 %) 31 (24.8 %)
Triple negative phenotype 0.917
No 51 (27.0 %) 32 (26.4 %)
Yes 138 (73.0 %) 89 (73.6 %)
Basal-like phenotype 0.108
No 90 (52.0 %) 46 (42.2 %)
Yes 83 (48.0 %) 63 (57.8 %)
Cytokeratin 6 (CK6) 0.687
Negative 97 (58.1 %) 55 (55.6 %)
Positive 70 (41.9 %) 44 (44.4 %)
Cytokeratin 14 (CK14) 0.122
Negative 128 (76.6 %) 68 (68.0 %)
Positive 39 (23.4 %) 32 (32.0 %)
Table 3 continued
Variable Ape1 protein expression p valve
Low High
Cytokeratin 18 (CK18) 0.022
Negative 55 (35.9 %) 21 (22.1 %)
Positive 98 (64.1 %) 74 (77.9 %)
Cytokeratin 19 (CK19) 0.604
Negative 24 (14.4 %) 12 (12.1 %)
Positive 143 (85.6 %) 87 (87.9 %)
Hormone receptors
PgR 0.254
Negative 184 (98.9 %) 120 (100 %)
Positive 2 (1.1 %) 0 (0.0 %)
AR 0.006
Negative 123 (80.4 %) 63 (64.9 %)
Positive 30 (19.6 %) 34 (35.1 %)
DNA repair
ATM 0.482
Absent 78 (61.4 %) 53 (66.3 %)
Normal 49 (38.6 %) 27 (33.8 %)
BRCA1 0.052
Absent 56 (41.7 %) 27 (29.0 %)
Normal 77 (58.3 %) 66 (71.0 %)
XRCC1 0.002
Low 49 (36.0 %) 17 (17.3 %)
High 87 (64.0 %) 81 (82.7 %)
FEN1 0.938
Low 103 (78.6 %) 68 (79.1 %)
High 28 (21.4 %) 18 (20.9 %)
SMUG1 0.187
Low 79 (59.8 %) 41 (50.6 %)
High 53 (40.2 %) 40 (49.4 %)
Cell cycle/apoptosis regulators
MIB1 0.504
Low 22 (13.6 %) 18 (16.5 %)
High 140 (86.4 %) 91 (83.5 %)
P53 0.507
Low expression 85 (52.8 %) 57 (57.0 %)
High expression 76 (47.2 %) 43 (43.0 %)
Bcl-2 0.554
Negative 133 (78.7 %) 84 (75.7 %)
Positive 36 (21.3 %) 27 (24.3 %)
TOP2A 0.478
Low 60 (41.1 %) 43 (45.7 %)
Overexpression 86 (58.9 %) 51 (54.3 %)
Statistically significant p values are shown in bold
BRCA1 breast cancer 1 (early onset), HER2 human epidermal growth factor
receptor 2, ER oestrogen-receptor, PgR progesterone receptor, CK cytokeratin
Basal-like: ER-, HER2- and positive expression of either CK5/6, CK14 or
EGFR; Triple negative: ER-/PgR-/HER2-a Grade as defined by Nottingham Grading System (NGS)
Breast Cancer Res Treat (2014) 143:411–421 419
123
kinase, a key DSB damage signalling factor. Pre-clinically,
we have recently demonstrated that this approach is fea-
sible in APE1 deficient cells. ATM kinase inhibitor was
synthetically lethal in APE1 deficient cells in that study
[25]. Similarly, we have recently shown that XRCC1
deficient breast cancers can also be targeted by synthetic
lethality using DSB repair inhibitors targeting ATM or
DNA-PK [23]. Together the data provides evidence that
BER deficiency could be exploited by a synthetic lethality
strategy targeting DSB repair.
In conclusion, we provide the first evidence that loss of
APE1 is associated with poor prognosis in ER-positive
breast cancer. Our clinical data provides additional support
for the emerging role of DNA repair in oestrogen/oestrogen
metabolite-induced breast cancer pathogenesis.
Conflict of interest The authors declare that they have no conflict
of interest
References
1. Yue W, Yager JD, Wang JP, Jupe ER, Santen RJ (2013) Estrogen
receptor-dependent and independent mechanisms of breast cancer
carcinogenesis. Steroids 78(2):161–170. doi:10.1016/j.steroids.
2012.11.001
2. Cavalieri E, Chakravarti D, Guttenplan J, Hart E, Ingle J, Jan-
kowiak R et al (2006) Catechol estrogen quinones as initiators of
breast and other human cancers: implications for biomarkers of
susceptibility and cancer prevention. Biochim Biophys Acta
1766(1):63–78. doi:10.1016/j.bbcan.2006.03.001
3. Cavalieri EL, Rogan EG (2011) Unbalanced metabolism of
endogenous estrogens in the etiology and prevention of human
cancer. J Steroid Biochem Mol Biol 125(3–5):169–180. doi:10.
1016/j.jsbmb.2011.03.008
4. Gaikwad NW, Yang L, Muti P, Meza JL, Pruthi S, Ingle JN et al (2008)
The molecular etiology of breast cancer: evidence from biomarkers of
risk. Int J Cancer 122(9):1949–1957. doi:10.1002/ijc.23329
5. Lavigne JA, Goodman JE, Fonong T, Odwin S, He P, Roberts DW
et al (2001) The effects of catechol-O-methyltransferase inhibition
on estrogen metabolite and oxidative DNA damage levels in
estradiol-treated MCF-7 cells. Cancer Res 61(20):7488–7494
6. Kim YJ, Wilson DM 3rd (2012) Overview of base excision repair
biochemistry. Curr Mol Pharmacol 5(1):3–13
7. Svilar D, Goellner EM, Almeida KH, Sobol RW (2011) Base
excision repair and lesion-dependent subpathways for repair of
oxidative DNA damage. Antioxid Redox Signal 14(12):
2491–2507
8. Abbotts R, Madhusudan S (2010) Human AP endonuclease 1
(APE1): from mechanistic insights to druggable target in cancer.
Cancer Treat Rev 36(5):425–435. doi:10.1016/j.ctrv.2009.12.006
9. Tell G, Quadrifoglio F, Tiribelli C, Kelley MR (2008) The many
functions of APE1/Ref-1: not only a DNA repair enzyme. Anti-
oxid Redox Signal 11(3):601–620. doi:10.1089/ars.2008.2194
10. Busso CS, Iwakuma T, Izumi T (2009) Ubiquitination of mam-
malian AP endonuclease (APE1) regulated by the p53-MDM2
signaling pathway. Oncogene 28(13):1616–1625
11. Demple B, Sung JS (2005) Molecular and biological roles of
Ape1 protein in mammalian base excision repair. DNA Repair
(Amst) 4(12):1442–1449
12. Wilson DM 3rd, Barsky D (2001) The major human abasic
endonuclease: formation, consequences and repair of abasic
lesions in DNA. Mutat Res 485(4):283–307
13. Tang M, Pham P, Shen X, Taylor JS, O’Donnell M, Woodgate R
et al (2000) Roles of E. coli DNA polymerases IV and V in
lesion-targeted and untargeted SOS mutagenesis. Nature
404(6781):1014–1018
14. Yu SL, Lee SK, Johnson RE, Prakash L, Prakash S (2003) The
stalling of transcription at abasic sites is highly mutagenic. Mol
Cell Biol 23(1):382–388
15. Hadi MZ, Wilson DM 3rd (2000) Second human protein with
homology to the Escherichia coli abasic endonuclease exonu-
clease III. Environ Mol Mutagen 36(4):312–324
16. Bhakat KK, Mantha AK, Mitra S (2009) Transcriptional regula-
tory functions of mammalian AP-endonuclease (APE1/Ref-1), an
essential multifunctional protein. Antioxid Redox Signal 11(3):
621–638. doi:10.1089/ARS.2008.2198
17. Fishel ML, Kelley MR (2007) The DNA base excision repair
protein Ape1/Ref-1 as a therapeutic and chemopreventive target.
Mol Aspects Med 28(3–4):375–395
18. Tell G, Damante G, Caldwell D, Kelley MR (2005) The intra-
cellular localization of APE1/Ref-1: more than a passive phe-
nomenon? Antioxid Redox Signal 7(3–4):367–384
19. Berquist BR, McNeill DR, Wilson DM 3rd (2008) Character-
ization of abasic endonuclease activity of human Ape1 on alter-
native substrates, as well as effects of ATP and sequence context
on AP site incision. J Mol Biol 379(1):17–27
20. Ellis IO, Galea M, Broughton N, Locker A, Blamey RW, Elston
CW (1992) Pathological prognostic factors in breast cancer. II.
Histological type. Relationship with survival in a large study with
long-term follow-up. Histopathology 20(6):479–489
21. Elston CW, Ellis IO (1991) Pathological prognostic factors in
breast cancer. I. The value of histological grade in breast cancer:
experience from a large study with long-term follow-up. Histo-
pathology 19(5):403–410
22. McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M,
Clark GM (2005) Reporting recommendations for tumor marker
Table 4 Multivariate analysis of breast cancer specific survival in ER?ve and ER-ve breast cancers
Variables Multivariate Cox regression analysis
ER-positive ER-negative
Exp (B) CI 95 % p value Exp (B) CI 95 % p value
APE1 0.901 0.813–0.999 0.048 1.038 0.865–1.247 0.686
Tumour stage 1.640 1.400–1.922 <0.0001 2.000 1.560–2.565 <0.0001
Tumour grade 1.375 1.187–1.594 <0.0001 2.643 1.239–5.641 0.012
Tumour size 1.119 1.028–1.217 0.009 1.114 0.961–1.291 0.151
420 Breast Cancer Res Treat (2014) 143:411–421
123
prognostic studies (REMARK). J Natl Cancer Inst 97(16):
1180–1184
23. Sultana R, Abdel-Fatah T, Abbotts R, Hawkes C, Albarakati N,
Seedhouse C et al (2013) Targeting XRCC1 deficiency in breast
cancer for personalized therapy. Cancer Res 73(5):1621–1634.
doi:10.1158/0008-5472.CAN-12-2929
24. Wolff AC, Hammond ME, Schwartz JN, Hagerty KL, Allred DC,
Cote RJ et al (2007) American Society of Clinical Oncology/
College of American Pathologists guideline recommendations for
human epidermal growth factor receptor 2 testing in breast can-
cer. J Clin Oncol 25(1):118–145
25. Sultana R, McNeill DR, Abbotts R, Mohammed MZ, Zdzienicka
MZ, Qutob H et al (2012) Synthetic lethal targeting of DNA
double-strand break repair deficient cells by human apurinic/
apyrimidinic endonuclease inhibitors. Int J Cancer 131(10):2433–
2444. doi:10.1002/ijc.27512
26. Kakolyris S, Kaklamanis L, Engels K, Fox SB, Taylor M,
Hickson ID et al (1998) Human AP endonuclease 1 (HAP1)
protein expression in breast cancer correlates with lymph node
status and angiogenesis. Br J Cancer 77(7):1169–1173
27. Zaky A, Busso C, Izumi T, Chattopadhyay R, Bassiouny A, Mitra
S et al (2008) Regulation of the human AP-endonuclease (APE1/
Ref-1) expression by the tumor suppressor p53 in response to
DNA damage. Nucleic Acids Res 36(5):1555–1566. doi:10.1093/
nar/gkm1173
28. Fung H, Bennett RA, Demple B (2001) Key role of a downstream
specificity protein 1 site in cell cycle-regulated transcription of
the AP endonuclease gene APE1/APEX in NIH3T3 cells. J Biol
Chem 276(45):42011–42017. doi:10.1074/jbc.M106423200
29. Kim K, Barhoumi R, Burghardt R, Safe S (2005) Analysis of
estrogen receptor alpha-Sp1 interactions in breast cancer cells by
fluorescence resonance energy transfer. Mol Endocrinol
19(4):843–854. doi:10.1210/me.2004-0326
30. Curtis CD, Thorngren DL, Ziegler YS, Sarkeshik A, Yates JR,
Nardulli AM (2009) Apurinic/apyrimidinic endonuclease 1 alters
estrogen receptor activity and estrogen-responsive gene expres-
sion. Mol Endocrinol 23(9):1346–1359. doi:10.1210/me.2009-
0093
31. Dedes KJ, Wilkerson PM, Wetterskog D, Weigelt B, Ashworth
A, Reis-Filho JS (2011) Synthetic lethality of PARP inhibition in
cancers lacking BRCA1 and BRCA2 mutations. Cell Cycle
10(8):1192–1199
32. Irshad S, Ashworth A, Tutt A (2011) Therapeutic potential of
PARP inhibitors for metastatic breast cancer. Expert Rev Anti-
cancer Ther 11(8):1243–1251. doi:10.1586/era.11.52
Breast Cancer Res Treat (2014) 143:411–421 421
123