BACKGROUND: Previous studies have shown that preoperative anemia is correlated with the prognoses of various solid tumors. This study was performed to determine the effect of preoperative anemia on relapse and survival in patients with breast cancer. METHODS: A total of 2960 patients with breast cancer who underwent surgery between 2002 and 2008 at the Sun Yat-sen University Cancer Center (Guangzhou, PR China) were evaluated in a retrospective analysis. A total of 2123 qualified patients were divided into an anemic group [hemoglobin (Hb) < 12.0 g/dL, N = 535)] and a nonanemic group (Hb ≥ 12.0 g/dL, N = 1588). The effects of anemia on local relapse-free survival (LRFS), lymph node metastasis-free survival (LNMFS), distant metastasis-free survival (DMFS), relapse-free survival (RFS), and overall survival (OS) were assessed using Kaplan-Meier analysis. Independent prognostic factors were identified in the final multivariate Cox proportional hazards regression model. RESULTS: Among the 2123 women who qualified for the analysis, 535 (25.2%) had a Hb level < 12.0 g/dL. The Kaplan-Meier curves showed that anemic patients had worse LRFS, LNMFS, DMFS, RFS, and OS than nonanemic patients, even in the same clinical stage of breast cancer. Cox proportional hazards regression model indicated that preoperative anemia was an independent prognostic factor of LRFS, LNMFS, DMFS, RFS, and OS for patients with breast cancer. CONCLUSIONS: Preoperative anemia was independently associated with poor prognosis of patients with breast cancer.
BACKGROUND: Previous studies have shown that preoperative anemia is correlated with the prognoses of various solid tumors. This study was performed to determine the effect of preoperative anemia on relapse and survival in patients with breast cancer. METHODS: A total of 2960 patients with breast cancer who underwent surgery between 2002 and 2008 at the Sun Yat-sen University Cancer Center (Guangzhou, PR China) were evaluated in a retrospective analysis. A total of 2123 qualified patients were divided into an anemic group [hemoglobin (Hb) < 12.0 g/dL, N = 535)] and a nonanemic group (Hb ≥ 12.0 g/dL, N = 1588). The effects of anemia on local relapse-free survival (LRFS), lymph node metastasis-free survival (LNMFS), distant metastasis-free survival (DMFS), relapse-free survival (RFS), and overall survival (OS) were assessed using Kaplan-Meier analysis. Independent prognostic factors were identified in the final multivariate Cox proportional hazards regression model. RESULTS: Among the 2123 women who qualified for the analysis, 535 (25.2%) had a Hb level < 12.0 g/dL. The Kaplan-Meier curves showed that anemicpatients had worse LRFS, LNMFS, DMFS, RFS, and OS than nonanemic patients, even in the same clinical stage of breast cancer. Cox proportional hazards regression model indicated that preoperative anemia was an independent prognostic factor of LRFS, LNMFS, DMFS, RFS, and OS for patients with breast cancer. CONCLUSIONS:Preoperative anemia was independently associated with poor prognosis of patients with breast cancer.
Anemia is a common complication in patients with cancer. It has been reported
that between 30–90% of patients with cancer have anemia [1]. Most studies have found that pre-treatment
anemia is associated with a worse prognosis in cancerpatients [2-5].
In a meta-analysis, anemicpatients with lung cancer, cervicouterine carcinoma, head
and neck cancer, prostate cancer, lymphoma, and multiple myeloma had shorter
survival times than those without anemia. The overall estimated increase in risk was
65% (54–77%) [6]. Preoperative anemia,
even mild anemia, was independently associated with an increased risk of 30-day
morbidity and mortality in patients undergoing major noncardiac surgery
[7].Breast cancer is one of the most common carcinomas worldwide among women. Tumor
size, nodal status, histological grade, lymphovascular invasion (LVI), gene profile
and Human Epidermal Growth Factor Receptor-2 (HER-2)-positivity are strong
prognostic factors of breast cancer [8-10]. Although 41–82%
of breast cancerpatients develop anemia before surgery, [1] few studies have explored the effects of
preoperative anemia on the prognosis of breast cancer. Whether preoperative anemia
has a significant adverse impact on relapse or survival in breast cancerpatients is
still controversial [11, 12].In this study, we aimed to determine the effects of preoperative anemia on
relapse (local relapse, lymph node metastasis, distant metastasis, and overall
relapse) and survival (local relapse-free survival, lymph node metastasis-free
survival, distant metastasis-free survival, relapse-free survival, and overall
survival) in patients undergoing breast cancer surgery.
Methods
A total of 2960 patients with breast cancer who underwent surgery between 2002
and 2008 at the Sun Yat-sen University Cancer Center (Guangzhou, PR China) were
evaluated in a retrospective analysis. This study was approved by the ethics
committee of the Sun Yat-sen University Cancer Center. No consent from patients was
needed.We defined the preoperative blood hemoglobin (Hb) concentration as the last Hb
measurement before the index operation. We also collected other clinical data for
subsequent analysis, including age, tumor type, tumor (T) and nodal (N) status,
histological grade, estrogen receptor (ER) and progesterone receptor (PR) status,
Human Epidermal Growth Factor Receptor-2 (Her-2) status, body mass index (BMI),
menopausal status, type of surgery, and the use of chemotherapy, radiotherapy,
endocrinotherapy, or targeted therapy. Patients with inadequate information,
T0 stage cancer, metastases or inoperable tumors, as well
as those treated with neoadjuvant chemotherapy or lost to follow-up were excluded
from this analysis. Finally, 2123 patients were enrolled (Figure 1). We defined preoperative anemia as Hb < 12.0 g/dL
and mild anemia as 9.0 ≤ Hb < 12.0 g/dL according to the World Health
Organization (WHO) limits for Hb. The patients were divided into two groups based on
this definition: the anemicpatients group (Hb < 12.0 g/dL) and the nonanemic
patient group (Hb ≥ 12.0 g/dL).
Figure 1
Flow chart of the patient grouping.
Flow chart of the patient grouping.We defined local relapse-free survival (LRFS) as the duration from the surgery
date to the date when local relapse was diagnosed. Lymph node metastasis-free
survival (LNMFS) was defined as the duration from the surgery date to the date when
lymph node metastasis was diagnosed. Distant metastasis-free survival (DMFS) was
defined as the duration from the surgery date to the date when distant metastasis
was diagnosed. Relapse-free survival (RFS) was defined as the duration from the
surgery date to the date when any relapse was diagnosed and overall survival (OS) as
the duration from the surgery date to the date of death or the last
follow-up.The clinical stages of breast cancer were performed according to the American
Joint Committee on Cancer (AJCC) staging system [13]. Stage I included T1,
N0, M0, stage II included IIA
(T0–1, N1, M0
or T2, N0, M0)
and IIB (T2, N1,
M0 or T3, N0,
M0) and stage III included IIIA
(T0–2, N2, M0
or T3, N1–2,
M0), IIIB (T4,
N0–2, M0) and IIIC (any T,
N3, M0). Stage IV was not considered
because the patients with metastases were excluded.
Statistical analysis
Patients’ characteristics (frequency distributions) were analyzed using the
χ2 test (chi-squared test). Spearman rank correlation
coefficients of risk factors for both anemia and nonanemia groups were determined.
We also used the χ2 test to compare the local relapse,
lymph node metastasis, distant metastasis, overall relapse, and mortality rates
between the two groups. The comparison of LRFS, LNMFS, DMFS, RFS, and OS between
anemic and nonanemic groups was performed using Kaplan–Meier analysis with the
log-rank test. Multivariate Cox proportional hazards regression model with forward
stepwise approach was constructed to identify independent prognostic factors. Age,
tumor type, T-status, N-status, histologic grade, ER, PR, HER-2, BMI grade,
menopause, type of surgery, anemia, sequential treatment after surgery
(chemotherapy, radiotherapy, hormonal therapy, and targeted therapy) were
predictive variables in the model. All statistical analyses were performed with
SPSS (Statistical Package for the Social Sciences, IBM, NY, USA) version 16.0
software. A P value <0.05 was considered
statistically significant.
Results
Among a total of 2123 female patients qualified for the analysis, 535 (25.2%)
had a Hb level < 12.0 g/dL. The median age of the patients was 47.0 (range,
22–91) years. There were 484 patients in stage I, 1198 in stage II, and 441 in stage
III, and the corresponding number of anemicpatients at each stage was 89 (18.4%),
283 (23.6%), and 163 (37.0%), respectively. Overall, 15.8% of the patients received
locoregional radiotherapy, and 82.1% received adjuvant chemotherapy. Patient
characteristics are shown in Table 1.
Table 1
Clinical characteristics of patient by anemia
status
N = 2123 (%)
Hb < 12 g/dL
Hb ≥ 12 g/dL
χ2
P
n = 535 (25.2%)
n = 1588 (74.8%)
Age
≤50
1384 (65.2)
359 (67.1)
1025 (64.5)
1.152
0.283
>50
739 (34.8)
176 (32.9)
563 (35.5)
Tumor type
Invasive ductal carcinoma
1944 (91.6)
503 (94.0)
1441 (90.7)
5.561
0.018
Other
179 (8.4)
32 (6.0)
147 (9.3)
Tumor stage
T1
703 (33.1)
146 (27.3)
557 (35.1)
32.458
<0.001
T2
1146 (54.0)
284 (53.1)
862 (54.3)
T3 and T4
274 (12.9)
105 (19.6)
169 (10.6)
N stage
N0
1185 (55.8)
250 (46.7)
935 (58.8)
38.534
<0.001
N1
603 (28.4)
159 (29.7)
444 (28.0)
N2
211 (9.9)
78 (14.6)
133 (8.4)
N3
124 (5.8)
48 (9.0)
76 (4.8)
Histologic grading
G1G2 or Gx
1680 (79.1)
425 (79.4)
1255 (79.0)
0.041
0.840
G3
443 (20.9)
110 (20.6)
333 (21.0)
ER
Negative
846 (39.8)
226 (42.3)
620 (39.1)
6.385
0.041
Positive
683 (32.2)
182 (34.0)
501 (31.5)
Strongly positive
594 (28.0)
127 (23.7)
467 (29.4)
PR
Negative
654 (30.8)
168 (31.4)
486 (30.6)
8.078
0.018
Positive
906 (42.7)
249 (46.5)
657 (41.4)
Strongly positive
563 (26.5)
118 (22.1)
445 (28.0)
HER-2
Negative
1067 (50.3)
249 (46.5)
818 (51.5)
10.315
0.006
Positive
633 (29.8)
154 (28.8)
479 (30.2)
Strongly positive
423 (19.9)
132 (24.7)
291 (18.3)
BMI
Low (<18.5)
151 (7.1)
47 (8.8)
104 (6.6)
25.980
<0.001
Normal (18.5–22.9)
929 (43.8)
276 (51.6)
653 (41.1)
High (>22.9)
1043 (49.1)
212 (39.6)
831 (52.3)
Menopause
No
1318 (62.1)
352 (65.8)
966 (60.8)
4.188
0.041
Yes
805 (37.9)
183 (34.2)
622 (39.2)
Type of surgery
Modified radical mastectomy
2092 (98.5)
531 (99.3)
1561 (98.3)
2.524
0.112
Breast-conserving surgery
31 (1.5)
4 (0.7)
27 (1.7)
Chemotherapy
No
381 (17.9)
89 (16.6)
292 (18.4)
0.835
0.361
Yes
1742 (82.1)
446 (83.4)
1296 (81.6)
Radiotherapy
No
1842 (86.8)
452 (84.5)
1390 (87.5)
3.232
0.072
Yes
281 (13.2)
83 (15.5)
198 (12.5)
Hormonal therapy
No
1366 (64.3)
347 (64.9)
1019 (64.2)
0.083
0.773
Yes
757 (35.7)
188 (35.1)
569 (35.8)
Targeted therapy
No
2109 (99.3)
530 (99.1)
1579 (99.4)
-
0.361a
Yes
14 (0.7)
5 (0.9)
9 (0.6)
aFisher's exact test.
Abbreviations: Hb hemoglobin, PR partial response, BMI body mass index.
Clinical characteristics of patient by anemia
statusaFisher's exact test.Abbreviations: Hb hemoglobin, PR partial response, BMI body mass index.The relation between Hb levels and various risk factors was examined by Spearman
rank correlation coefficients. As shown in Table 2, we found that there was a significant positive correlation
between Hb levels and BMI, and a negative correlation with T- and N-status and
clinical stages.
Table 2
Spearman’s rank correlation of the hemoglobin levels
and various clinical characteristics
Hb
P
Age
0.035
0.101
Tumor type
0.014
0.509
T stage
−0.078
<0.001
N stage
−0.051
0.019
Clinical stage
−0.085
<0.001
Histologic grading
0.010
0.653
ER
0.029
0.181
PR
0.016
0.460
HER-2
−0.035
0.103
BMI
0.134
<0.001
Chemotherapy
−0.025
0.242
Radiotherapy
−0.014
0.521
Hormonal therapy
0.002
0.912
Targeted therapy
−0.034
0.115
Abbreviations: Hb hemoglobin, ER estrogen receptor, PR progesterone receptor, HER-2 Human Epidermal Growth Factor Receptor-2, BMI body mass index.
Spearman’s rank correlation of the hemoglobin levels
and various clinical characteristicsAbbreviations: Hb hemoglobin, ERestrogen receptor, PRprogesterone receptor, HER-2Human Epidermal Growth Factor Receptor-2, BMI body mass index.After a median follow-up time of 67 months, 61 patients (2.9%) underwent local
relapse, 105 (4.9%) had lymph node metastases, and 269 (12.7%) had distant
metastases among 2123 breast cancerpatients. Local relapse was diagnosed in 7.3% of
anemicpatients versus 1.4% of nonanemic patients (P < 0.001). For lymph node metastasis, distant metastasis, and any
relapse, the percentages were 12.1% versus 2.5% (P < 0.001), 26.7% versus 7.9% (P < 0.001) and 38.7% versus 9.9% (P < 0.001), respectively. Mortality was 24.5% in anemic group
versus 7.7% in nonanemic group (P < 0.001)
(Table 3). The relapse rate and mortality
were significantly different between the anemic and nonanemic groups.
Table 3
Prevalence of relapses and deaths in patients with and
without anemia
N = 2123
Hb < 12 g/dL
Hb ≥ 12 g/dL
χ2
P
n = 535 (%)
n = 1588 (%)
Local relapse
No
2062
496 (92.7)
1566 (98.6)
49.989
<0.001
Yes
61
39 (7.3)
22 (1.4)
Lymph node metastasis
No
2018
470 (87.9)
1548 (97.5)
78.950
<0.001
Yes
105
65 (12.1)
40 (2.5)
Distant metastasis
No
1854
392 (73.3)
1462 (92.1)
127.7
<0.001
Yes
269
143 (26.7)
126 (7.9)
Any relapse
No
1758
328 (61.3)
1430 (90.1)
232.2
<0.001
Yes
365
207 (38.7)
158 (9.9)
Death
No
1869
404 (75.5)
1465 (92.3)
106.5
<0.001
Yes
254
131 (24.5)
123 (7.7)
Abbreviation:
Hb hemoglobin.
Prevalence of relapses and deaths in patients with and
without anemiaAbbreviation:
Hb hemoglobin.In the univariate analysis, LRFS, LNMFS, DMFS, RFS, and OS were significantly
shorter in anemicpatients than those in nonanemic patients (P < 0.001 for all) (Figure 2). Additionally, stratified analysis by different clinical stages
(stages I to III) of breast cancer showed that LRFS, LNMFS, DMFS, RFS and OS were
all significantly shorter in anemicpatients (Figures 3, 4 and 5). Among the 2123 anemicpatients, 2104 had mild
anemia (9.0 ≤ Hb < 12.0 g/dL). Survivals were also significantly shorter even in
patients with mild anemia (Figure 6).
Figure 2
LRFS, LNMFS, DMFS, RFS, and OS of patients with and
without anemia. A. LRFS for patients with Hb ≥ 12 g/dL versus
Hb < 12 g/dL. B. LNMFS for patients with
Hb ≥12 g/dL versus Hb <12 g/dL. C. DMFS
for patients with Hb ≥12 g/dL versus Hb <12 g/dL. D. RFS for patients with Hb ≥12 g/dL versus Hb <12 g/dL.
E. OS for patients with Hb ≥12 g/dL
versus Hb <12 g/dL.
Figure 3
LRFS, LNMFS, DMFS, RFS, and OS of patients in stage I
with and without anemia. A. LRFS for patients with Hb ≥12 g/dL
versus Hb <12 g/dL in stage I. B. LNMFS
for patients with Hb ≥12 g/dL versus Hb <12 g/dL in stage I. C. DMFS for patients with Hb ≥12 g/dL versus Hb
<12 g/dL in stage I. D. RFS for patients
with Hb ≥12 g/dL versus Hb <12 g/dL in stage I. E. OS for patients with Hb ≥12 g/dL versus Hb <12 g/dL in
stage I.
Figure 4
LRFS, LNMFS, DMFS, RFS, and OS for patients in stage
II with and without anemia. A. LRFS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage II. B. LNMFS for patients with Hb ≥12 g/dL versus Hb <12 g/dL
in stage II. C. DMFS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage II. D. RFS for patients with Hb ≥12 g/dL versus Hb <12 g/dL in
stage II. E. OS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage II.
Figure 5
LRFS, LNMFS, DMFS, RFS, and OS for patients in stage
III with and without anemia. A. LRFS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage III. B. LNMFS for patients with Hb ≥12 g/dL versus Hb <12 g/dL
in stage III. C. DMFS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage III. D. RFS for patients with Hb ≥12 g/dL versus Hb <12 g/dL in
stage III. E. OS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage III.
Figure 6
LRFS, LNMFS, DMFS, RFS, and OS for patients without
anemia versus mild anemia. A. LRFS for patients with Hb
≥12 g/dL versus 9 < Hb <12 g/dL. B.
LNMFS for patients with Hb ≥12 g/dL versus 9 < Hb <12 g/dL. C. DMFS for patients with Hb ≥12 g/dL versus
9 < Hb <12 g/dL. D. RFS for patients
with Hb ≥12 g/dL versus 9 < Hb <12 g/dL. E. OS for patients with Hb ≥12 g/dL versus 9 < Hb
<12 g/dL.
LRFS, LNMFS, DMFS, RFS, and OS of patients with and
without anemia. A. LRFS for patients with Hb ≥ 12 g/dL versus
Hb < 12 g/dL. B. LNMFS for patients with
Hb ≥12 g/dL versus Hb <12 g/dL. C. DMFS
for patients with Hb ≥12 g/dL versus Hb <12 g/dL. D. RFS for patients with Hb ≥12 g/dL versus Hb <12 g/dL.
E. OS for patients with Hb ≥12 g/dL
versus Hb <12 g/dL.LRFS, LNMFS, DMFS, RFS, and OS of patients in stage I
with and without anemia. A. LRFS for patients with Hb ≥12 g/dL
versus Hb <12 g/dL in stage I. B. LNMFS
for patients with Hb ≥12 g/dL versus Hb <12 g/dL in stage I. C. DMFS for patients with Hb ≥12 g/dL versus Hb
<12 g/dL in stage I. D. RFS for patients
with Hb ≥12 g/dL versus Hb <12 g/dL in stage I. E. OS for patients with Hb ≥12 g/dL versus Hb <12 g/dL in
stage I.LRFS, LNMFS, DMFS, RFS, and OS for patients in stage
II with and without anemia. A. LRFS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage II. B. LNMFS for patients with Hb ≥12 g/dL versus Hb <12 g/dL
in stage II. C. DMFS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage II. D. RFS for patients with Hb ≥12 g/dL versus Hb <12 g/dL in
stage II. E. OS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage II.LRFS, LNMFS, DMFS, RFS, and OS for patients in stage
III with and without anemia. A. LRFS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage III. B. LNMFS for patients with Hb ≥12 g/dL versus Hb <12 g/dL
in stage III. C. DMFS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage III. D. RFS for patients with Hb ≥12 g/dL versus Hb <12 g/dL in
stage III. E. OS for patients with Hb
≥12 g/dL versus Hb <12 g/dL in stage III.LRFS, LNMFS, DMFS, RFS, and OS for patients without
anemia versus mild anemia. A. LRFS for patients with Hb
≥12 g/dL versus 9 < Hb <12 g/dL. B.
LNMFS for patients with Hb ≥12 g/dL versus 9 < Hb <12 g/dL. C. DMFS for patients with Hb ≥12 g/dL versus
9 < Hb <12 g/dL. D. RFS for patients
with Hb ≥12 g/dL versus 9 < Hb <12 g/dL. E. OS for patients with Hb ≥12 g/dL versus 9 < Hb
<12 g/dL.Multivariate analysis with all relevant prognostic factors in a Cox proportional
hazards regression model showed that preoperative anemia was a significant
prognostic factor in breast cancerpatients (Table 4). T-status (≥T3), N-status
(N1, N2), strongly positive PR
status and HER-2 positivity were significantly associated with LRFS, and anemicpatients had a 4.939-fold increased relative risk of developing local relapse
compared with nonanemic patients. Only the N-status (N1,
N2) was significantly associated with LNMFS, with a
5.160-fold increased relative risk of developing lymph node metastasis for anemicpatients compared with nonanemic patients. With respect to DMFS and OS, T-status
(≥T3) and N-status
(N1-N3) still had significant
associations, and the relative risks of developing distant metastasis and death in
the anemic group were 3.192-fold and 2.849-fold higher than those in the nonanemic
group, respectively. For RFS, T-status (≥T3), N-status
(N1–N3), and strongly positive PR
status were shown to be significant prognostic factors. Anemicpatients had a
4.104-fold increased relative risk of developing any relapse compared with nonanemic
patients.
Table 4
Multivariate analysis of prognostic factors for LRFS,
LNMFS, DMFS, RFS, and OS
LRFS
LNMFS
DMFS
RFS
OS
HR (95% CI)
P
HR (95% CI)
P
95% CI
P
95% CI
P
95% CI
P
T stage
T1
Ref
NS
NS
Ref
Ref
Ref
T2
1.045 (0.532–2.050)
0.899
NS
NS
1.333 (0.962–1.847)
0.084
1.287 (0.976–1.697)
0.074
1.291 (0.925–1.803)
0.134
≥T3
2.676 (1.267–5.653)
0.010
NS
NS
1.983 (1.347–2.920)
0.001
2.021 (1.455–2.807)
<0.001
2.020 (1.371–2.975)
<0.001
N stage
N0
Ref
Ref
Ref
Ref
Ref
N1
2.601 (1.366–4.963)
0.004
2.235 (1.366–3.657)
0.001
2.040 (1.493–2.788)
<0.001
2.009 (1.544–2.615)
<0.001
1.942 (1.404–2.687)
<0.001
N2
2.708 (1.122–6.534)
0.027
3.742 (2.058–6.805)
<0.001
3.484 (2.358–5.147)
<0.001
3.016 (2.152–4.225)
<0.001
4.200 (2.854–6.181)
<0.001
N3
2.450 (0.859–6.989)
0.094
2.045 (0.912–4.487)
0.083
4.822 (3.175–7.323)
<0.001
3.856 (2.672–5.565)
<0.001
5.083 (3.307–7.812)
<0.001
ER
Negative
Ref
NS
NS
Ref
Ref
Ref
Positive
0.525 (0.261–1.057)
0.071
NS
NS
0.670 (0.479–0.937)
0.019
0.726 (0.547–0.965)
0.027
0.845 (0.598–1.194)
0.340
Strongly positive
0.340 (0.144–0.803)
0.014
NS
NS
0.804 (0.537–1.206)
0.292
0.757 (0.534–1.074)
0.119
0.566 (0.360–0.890)
0.014
PR
Negative
Ref
NS
NS
NS
NS
Ref
NS
NS
NS
Positive
1.709 (0.826–3.535)
0.149
NS
NS
NS
NS
1.409 (1.066–1.861)
0.016
NS
NS
Strongly positive
2.989 (1.236–7.228)
0.015
NS
NS
NS
NS
0.899 (0.611–1.322)
0.588
NS
NS
HER-2
Negative
Ref
NS
NS
NS
NS
NS
NS
NS
NS
Positive
2.179 (1.232–3.855)
0.007
NS
NS
NS
NS
NS
NS
NS
NS
Strongly positive
0.651 (0.292–1.451)
0.294
NS
NS
NS
NS
NS
NS
NS
NS
Hormonal therapy
NS
NS
0.537 (0.335–0.859)
0.009
NS
NS
0.733 (0.575–0.933)
0.012
0.682 (0.503–0.926)
0.014
Anemia
4.939 (2.875–8.484)
<0.001
5.160 (3.428–7.767)
<0.001
3.192 (2.489–4.094)
<0.001
4.104 (3.310–5.089)
<0.001
2.849 (2.205–3.680)
<0.001
Abbreviations:
LRFS local relapse-free survival, LNMFS lymph node metastasis-free survival,
DMFS distant metastasis-free survival,
RFS relapse-free survival, OS overall survival, ER estrogen receptor, PR
progesterone receptor, HER-2 Human
Epidermal Growth Factor Receptor-2, HR
hazard ration, CI confidence interval,
Ref: Reference group; NS: No
significance.
Multivariate analysis of prognostic factors for LRFS,
LNMFS, DMFS, RFS, and OSAbbreviations:
LRFS local relapse-free survival, LNMFS lymph node metastasis-free survival,
DMFS distant metastasis-free survival,
RFS relapse-free survival, OS overall survival, ERestrogen receptor, PRprogesterone receptor, HER-2Human
Epidermal Growth Factor Receptor-2, HR
hazard ration, CI confidence interval,
Ref: Reference group; NS: No
significance.
Discussion
Preoperative anemia has been reported to be associated with poor prognosis in
many types of tumors [6, 14]. In our present study, a low preoperative Hb
level was shown to be associated with local and distant relapses in breast cancerpatients. Shorter survival was also observed in anemicpatients. To the best of our
knowledge, our study was the first to discover that preoperative Hb levels were
associated with tumor (T) and nodal (N) status of breast cancer and BMI. Further,
the most important study finding was that preoperative anemia was shown to be an
independently prognostic factor for LRFS, LNMFS, DMFS, RFS, and OS in breast cancerpatients, even in the same clinical stage or at lower stages.Causes of anemia in cancerpatients are multifactorial and can be considered as
results of cancer invasion, induced by treatment (after radiotherapy or
chemotherapy), or chronic kidney disease [15]. Among the three factors mentioned above, the first one is the
largest contributor. Cancer itself can cause or exacerbate anemia in several ways
[16]. Cancer cells may suppress
hematopoiesis via bone marrow infiltration directly. They also generate cytokines
that lead to functional iron deficiency, which decreases the production and shorten
the survival of red blood cells [17].
Also, chronic blood loss at tumor sites through cancer cells infiltration can
exacerbate anemia. Other indirect effects include nutritional deficiencies of iron,
folate, and vitamin B12 secondary to anorexia or hemolysis by immune-mediated
antibodies. For the factors mentioned above, it is plausible that preoperative
anemia is more frequent in higher clinical stages and low BMI in association with
malnutrition.Many studies supported that pre-treatment Hb levels during adjuvant or
neoadjuvant chemotherapy were related to the prognosis of breast cancer. However,
few studies focused on the preoperative Hb levels [12, 18, 19]. Kandemir et al. reported that preoperative
anemia was an independent risk factor of disease-free survival and overall survival
in 336 early-stage breast cancerpatients [11]. Our results not only supported their conclusion but also
showed that preoperative anemia was associated with local relapse-free survival,
lymph node metastasis-free survival, and distant metastasis-free survival in a
larger cohort.There are several possible mechanisms by which anemia may reduce survival, and
hypoxia is the most important one. Anemia can reduce the capacity of the blood to
transport oxygen (O2), further contributing to the
development of hypoxia. Hypoxia is a common characteristic of locally advanced solid
tumors that has been associated with greater recurrence, less locoregional control,
diminished therapeutic responses, and lower overall and disease-free survival
[20, 21]. The association between the blood Hb concentration (cHb) and
the tumor oxygenation status has been examined [22-27]. The median
pO2 values in breast cancer tumors are lower than those in
the normal breast, which exponentially increase with increasing cHb values
[28]. In normal breast tissue, the
O2 tensions are approximately at a mean
pO2 of 65 mmHg. However, in breast cancer tissue, the
median pO2 is 28 mmHg. Further, nearly 60% of breast cancers
contain hypoxic tissue areas with pO2 values <2.5 mmHg
[29].Hypoxia can lead to structural and functional abnormalities in the tumor
microvasculature, an adverse diffusion geometry and tumor-related anemia result in a
reduced O2 transport capacity of the blood [30]. A key regulator of this process is
hypoxia-inducible factor-1 (HIF-1). HIF-1 is a molecular determinant that responds
to hypoxia. Its expression increases as the pathologic stages progress, and it is
higher in poorly differentiated lesions than in well-differentiated lesions
[31]. HIF-1 activity mediates
angiogenesis [32-34], epithelial-mesenchymal transition
[25], genetic mutations, resistance
to apoptosis, and resistance to radiotherapy and chemotherapy [34] in regions of intratumoral hypoxia. More
recent studies have suggested that HIF-1α is a significant positive regulator of
tumor progression, metastasis, and poor patient prognosis [26, 32, 33], and higher
expression of HIF-1α has been shown to correlate with poorer survival in breast
cancerpatients [35, 36]. This effect was independent of standard
prognostic factors, such as tumor stage and nodal status [37]. Some results of our study may be attributed
to hypoxia and HIF-1α activity. It was interesting that preoperative Hb levels were
negatively related to tumor (T) and nodal (N) status of breast cancer, which were
both traditional prognostic factors of breast cancer. However, anemia also impaired
various survival outcomes independently even in the same clinical stage.Although preoperative anemia was not related to the sequential postoperative
treatment in our study, most of the data supported the notion that pretreatment
anemia may influence the effects of sequential postoperative treatment. The reason
may be that preoperative anemia contributes to hypoxia in cancer cells. There is
increasing evidence that hypoxic cancer cells are likely to be resistant to
radiotherapy, chemotherapy, and targeted therapy. Thus, the potential for invasion,
metastasis and patient mortality is increased further [25–27, 30]. Hypoxia leads
to therapeutic resistance directly through a lack of O2,
which radiation and some chemotherapeutic drugs require to exert their cytotoxicity.
Hypoxia also leads to resistance indirectly through changes in cellular metabolism,
proliferation kinetics, the cell-cycle position, the hypoxia-driven proteome, and
genome and clonal selection [21,
27].Although hypoxia may be a reasonable explanation for the association between
anemia and survival of breast cancer, there was no direct evidence of hypoxia in
cancer cells in our large population study. Emerging new tools that can measure the
local Hb level and O2 tension directly in tumor tissues may
solve this problem in the future. Our study provided a clue for further
investigations to clarify the complex mechanisms of hypoxia in breast cancer.Since preoperative anemia was associated with poor prognosis in breast cancerpatients in our study, would patients benefit from anemia treatment preoperatively?
Or could we improve the prognosis after administering treatment for anemia? The
answer to this question is somewhat ambiguous because of the complexity of anemia.
For most of patients with breast cancer without chemotherapy, preoperative anemia
was caused by multiple etiologies, including blood loss, functional iron deficiency,
erythropoietin deficiency secondary to renal disease, tumoral marrow involvement,
well as other factors. Evaluation of anemia should be performed carefully before
treatment because an unsuitable treatment might lead to adverse effects. The most
common treatment options for anemicpatients include iron therapy, red cell
transfusion, and erythropoietic-stimulating agents. For iron therapy, nutritional
status (iron, total iron binding capacity, ferritin, transferrin saturation, folate,
and vitamin B12) and renal function should be evaluated. Only
absolute iron deficiency will benefit from intravenous or oral iron monotherapy
[38, 39]. Unfortunately the absence of data regarding the nutritional
status and renal function of our patients impeded further analysis.Red cell transfusion is an acceptable treatment option for anemic breast cancerpatients, especially for those requiring rapid improvement of Hb levels. However,
large-scale studies involving cancerpatients found that red cell transfusion was
associated with increased thrombosis risk as well as increased mortality risk
[40]. Additionally, mild anemia
accounted for 99% anemicpatients in this study; thus, transfusions might not be
necessary. As for erythropoietic-stimulating agent therapy, it was suitable only for
patients receiving palliative, myelosuppressive chemotherapy with a Hb <10 g/dL
and without absolute iron deficiency [39]. Notably, there were few reports focusing on the relationship
between preoperative Hb and prognosis. However, most treatments for anemia were
derived from the prognostic outcomes of patients with chemotherapy-induced anemia.
Thus, whether preoperative anemia and chemotherapy-induced anemia are both
associated with poor prognosis of patients with breast cancer remains to be
clarified. The question of what is the best approach for patients with preoperative
anemia remains unanswered. Therefore, further studies will be needed to answer these
questions.
Conclusions
Preoperative anemia is a negative prognostic factor for survival of patients
with breast cancer. However, it still merits further experimental and clinical
investigations.
Authors: Christian Peters-Engl; Pia Cassik; Irene Schmidt; Ursula Denison; Michael Medl; Wolfgang Pokieser; Paul Sevelda Journal: Acta Oncol Date: 2005 Impact factor: 4.089
Authors: M M Vleugel; A E Greijer; A Shvarts; P van der Groep; M van Berkel; Y Aarbodem; H van Tinteren; A L Harris; P J van Diest; E van der Wall Journal: J Clin Pathol Date: 2005-02 Impact factor: 3.411