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Erschienen in: BMC Cancer 1/2014

Open Access 01.12.2014 | Research article

Impact of preoperative anemia on relapse and survival in breast cancer patients

verfasst von: YingJun Zhang, YuYang Chen, DongTai Chen, Yu Jiang, Wan Huang, HanDong Ouyang, Wei Xing, MuSheng Zeng, XiaoMing Xie, Weian Zeng

Erschienen in: BMC Cancer | Ausgabe 1/2014

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Abstract

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.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1471-2407-14-844) contains supplementary material, which is available to authorized users.
YingJun Zhang, YuYang Chen, DongTai Chen contributed equally to this work.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

YJ Zhang carried out the design and drafted the manuscript. YY Chen performed the interpretation of the data and statistical analysis. DT Chen, Y Jiang, W Huang, HD Ouyang and W Xing participated in acquisition of data. MS Zeng and XM Xie participated in the critical revision of the manuscript for important intellectual content. WA Zeng carried out the major design and funding support, and performed supervision and coordination with other departments. All authors read and approved the final manuscript.
Abkürzungen
LRFS
Local relapse free survival
LNMFS
Lymph node metastasis free survival
DMFS
Distance metastasis free survival
RFS
Relapse free survival
OS
Overall survival
LVI
Lymphovascular invasion
HER-2
Human epidermal growth factor receptor-2
Hb
Hemoglobin
TNM
Tumor-Node-Metastasis
ER
Estrogen receptor
PR
Progesterone receptor
BMI
Body mass index
WHO
World Health Organization
cHb
Blood hemoglobin concentration
HIF-1
Hypoxia-inducible factor-1.

Background

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 cancer patients [25]. In a meta-analysis, anemic patients 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 [810]. Although 41–82% of breast cancer patients 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 cancer patients 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 anemic patients group (Hb < 12.0 g/dL) and the nonanemic patient group (Hb ≥ 12.0 g/dL).
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 anemic patients 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
χ 2
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.
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.
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 cancer patients. Local relapse was diagnosed in 7.3% of anemic patients 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
χ 2
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.
In the univariate analysis, LRFS, LNMFS, DMFS, RFS, and OS were significantly shorter in anemic patients 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 anemic patients (Figures 3, 4 and 5). Among the 2123 anemic patients, 2104 had mild anemia (9.0 ≤ Hb < 12.0 g/dL). Survivals were also significantly shorter even in patients with mild anemia (Figure 6).
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 cancer patients (Table 4). T-status (≥T3), N-status (N1, N2), strongly positive PR status and HER-2 positivity were significantly associated with LRFS, and anemic patients 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 anemic patients 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. Anemic patients 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.

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 cancer patients. Shorter survival was also observed in anemic patients. 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 cancer patients, even in the same clinical stage or at lower stages.
Causes of anemia in cancer patients 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 cancer patients [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 [2227]. 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 [3234], 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 cancer patients [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 [2527, 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 cancer patients 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 anemic patients 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 cancer patients, especially for those requiring rapid improvement of Hb levels. However, large-scale studies involving cancer patients found that red cell transfusion was associated with increased thrombosis risk as well as increased mortality risk [40]. Additionally, mild anemia accounted for 99% anemic patients 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.

Acknowledgements

This study was supported by the Natural Science Foundation of China (NSFC) (No. 81271246) and Doctoral program foundation of State Education Ministry No. (20120171110096).
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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

YJ Zhang carried out the design and drafted the manuscript. YY Chen performed the interpretation of the data and statistical analysis. DT Chen, Y Jiang, W Huang, HD Ouyang and W Xing participated in acquisition of data. MS Zeng and XM Xie participated in the critical revision of the manuscript for important intellectual content. WA Zeng carried out the major design and funding support, and performed supervision and coordination with other departments. All authors read and approved the final manuscript.
Literatur
1.
Zurück zum Zitat Knight K, Wade S, Balducci L: Prevalence and outcomes of anemia in cancer: a systematic review of the literature. Am J Med. 2004, 116 (Suppl 7A): 11S-26S.CrossRefPubMed Knight K, Wade S, Balducci L: Prevalence and outcomes of anemia in cancer: a systematic review of the literature. Am J Med. 2004, 116 (Suppl 7A): 11S-26S.CrossRefPubMed
2.
Zurück zum Zitat Hu K, Harrison LB: Impact of anemia in patients with head and neck cancer treated with radiation therapy. Curr Treat Options Oncol. 2005, 6 (1): 31-45. 10.1007/s11864-005-0011-4.CrossRefPubMed Hu K, Harrison LB: Impact of anemia in patients with head and neck cancer treated with radiation therapy. Curr Treat Options Oncol. 2005, 6 (1): 31-45. 10.1007/s11864-005-0011-4.CrossRefPubMed
3.
Zurück zum Zitat Choi YS, Yi CM, Sin JI, Ye GW, Shin IH, Lee TS: Impact of hemoglobin on survival of cervical carcinoma patients treated with concurrent chemoradiotherapy is dependent on lymph node metastasis findings by magnetic resonance imaging. Int J Gynecol Cancer. 2006, 16 (5): 1846-1854. 10.1111/j.1525-1438.2006.00666.x.CrossRefPubMed Choi YS, Yi CM, Sin JI, Ye GW, Shin IH, Lee TS: Impact of hemoglobin on survival of cervical carcinoma patients treated with concurrent chemoradiotherapy is dependent on lymph node metastasis findings by magnetic resonance imaging. Int J Gynecol Cancer. 2006, 16 (5): 1846-1854. 10.1111/j.1525-1438.2006.00666.x.CrossRefPubMed
4.
Zurück zum Zitat Grogan M, Thomas GM, Melamed I, Wong FL, Pearcey RG, Joseph PK, Portelance L, Crook J, Jones KD: The importance of hemoglobin levels during radiotherapy for carcinoma of the cervix. Cancer. 1999, 86 (8): 1528-1536. 10.1002/(SICI)1097-0142(19991015)86:8<1528::AID-CNCR20>3.0.CO;2-E.CrossRefPubMed Grogan M, Thomas GM, Melamed I, Wong FL, Pearcey RG, Joseph PK, Portelance L, Crook J, Jones KD: The importance of hemoglobin levels during radiotherapy for carcinoma of the cervix. Cancer. 1999, 86 (8): 1528-1536. 10.1002/(SICI)1097-0142(19991015)86:8<1528::AID-CNCR20>3.0.CO;2-E.CrossRefPubMed
5.
Zurück zum Zitat Dunphy EP, Petersen IA, Cox RS, Bagshaw MA: The influence of initial hemoglobin and blood pressure levels on results of radiation therapy for carcinoma of the prostate. Int J Radiat Oncol Biol Phys. 1989, 16 (5): 1173-1178. 10.1016/0360-3016(89)90277-0.CrossRefPubMed Dunphy EP, Petersen IA, Cox RS, Bagshaw MA: The influence of initial hemoglobin and blood pressure levels on results of radiation therapy for carcinoma of the prostate. Int J Radiat Oncol Biol Phys. 1989, 16 (5): 1173-1178. 10.1016/0360-3016(89)90277-0.CrossRefPubMed
6.
Zurück zum Zitat Caro JJ, Salas M, Ward A, Goss G: Anemia as an independent prognostic factor for survival in patients with cancer: a systemic, quantitative review. Cancer. 2001, 91 (12): 2214-2221. 10.1002/1097-0142(20010615)91:12<2214::AID-CNCR1251>3.0.CO;2-P.CrossRefPubMed Caro JJ, Salas M, Ward A, Goss G: Anemia as an independent prognostic factor for survival in patients with cancer: a systemic, quantitative review. Cancer. 2001, 91 (12): 2214-2221. 10.1002/1097-0142(20010615)91:12<2214::AID-CNCR1251>3.0.CO;2-P.CrossRefPubMed
7.
Zurück zum Zitat Musallam KM, Tamim HM, Richards T, Spahn DR, Rosendaal FR, Habbal A, Khreiss M, Dahdaleh FS, Khavandi K, Sfeir PM, Soweid A, Hoballah JJ, Taher AT, Jamali FR: Preoperative anaemia and postoperative outcomes in non-cardiac surgery: a retrospective cohort study. Lancet. 2011, 378 (9800): 1396-1407. 10.1016/S0140-6736(11)61381-0.CrossRefPubMed Musallam KM, Tamim HM, Richards T, Spahn DR, Rosendaal FR, Habbal A, Khreiss M, Dahdaleh FS, Khavandi K, Sfeir PM, Soweid A, Hoballah JJ, Taher AT, Jamali FR: Preoperative anaemia and postoperative outcomes in non-cardiac surgery: a retrospective cohort study. Lancet. 2011, 378 (9800): 1396-1407. 10.1016/S0140-6736(11)61381-0.CrossRefPubMed
8.
Zurück zum Zitat Soerjomataram I, Louwman MW, Ribot JG, Roukema JA, Coebergh JW: An overview of prognostic factors for long-term survivors of breast cancer. Breast Cancer Res Treat. 2008, 107 (3): 309-330. 10.1007/s10549-007-9556-1.CrossRefPubMed Soerjomataram I, Louwman MW, Ribot JG, Roukema JA, Coebergh JW: An overview of prognostic factors for long-term survivors of breast cancer. Breast Cancer Res Treat. 2008, 107 (3): 309-330. 10.1007/s10549-007-9556-1.CrossRefPubMed
9.
Zurück zum Zitat Cianfrocca M, Goldstein LJ: Prognostic and predictive factors in early-stage breast cancer. Oncologist. 2004, 9 (6): 606-616. 10.1634/theoncologist.9-6-606.CrossRefPubMed Cianfrocca M, Goldstein LJ: Prognostic and predictive factors in early-stage breast cancer. Oncologist. 2004, 9 (6): 606-616. 10.1634/theoncologist.9-6-606.CrossRefPubMed
10.
Zurück zum Zitat Voduc KD, Cheang MC, Tyldesley S, Gelmon K, Nielsen TO, Kennecke H: Breast cancer subtypes and the risk of local and regional relapse. J Clin Oncol. 2010, 28 (10): 1684-1691. 10.1200/JCO.2009.24.9284.CrossRefPubMed Voduc KD, Cheang MC, Tyldesley S, Gelmon K, Nielsen TO, Kennecke H: Breast cancer subtypes and the risk of local and regional relapse. J Clin Oncol. 2010, 28 (10): 1684-1691. 10.1200/JCO.2009.24.9284.CrossRefPubMed
11.
Zurück zum Zitat Kandemir EG, Mayadagli A, Turken O, Yaylaci M, Ozturk A: Pre-treatment haemoglobin concentration is a prognostic factor in patients with early-stage breast cancer. J Int Med Res. 2005, 33 (3): 319-328. 10.1177/147323000503300307.CrossRefPubMed Kandemir EG, Mayadagli A, Turken O, Yaylaci M, Ozturk A: Pre-treatment haemoglobin concentration is a prognostic factor in patients with early-stage breast cancer. J Int Med Res. 2005, 33 (3): 319-328. 10.1177/147323000503300307.CrossRefPubMed
12.
Zurück zum Zitat Boehm DU, Lebrecht A, Schmidt M, Siggelkow W, Lindner C, Litz A, Ulbrich E, Koelbl H: Prognostic impact of haemoglobin levels in breast cancer. Anticancer Res. 2007, 27 (2): 1223-1226.PubMed Boehm DU, Lebrecht A, Schmidt M, Siggelkow W, Lindner C, Litz A, Ulbrich E, Koelbl H: Prognostic impact of haemoglobin levels in breast cancer. Anticancer Res. 2007, 27 (2): 1223-1226.PubMed
13.
Zurück zum Zitat Singletary SE, Allred C, Ashley P, Bassett LW, Berry D, Bland KI, Borgen PI, Clark G, Edge SB, Hayes DF, Hughes LL, Hutter RV, Morrow M, Page DL, Recht A, Theriault RL, Thor A, Weaver DL, Wieand HS, Greene FL: Revision of the American Joint Committee on Cancer staging system for breast cancer. J Clin Oncol. 2002, 20 (17): 3628-3636. 10.1200/JCO.2002.02.026.CrossRefPubMed Singletary SE, Allred C, Ashley P, Bassett LW, Berry D, Bland KI, Borgen PI, Clark G, Edge SB, Hayes DF, Hughes LL, Hutter RV, Morrow M, Page DL, Recht A, Theriault RL, Thor A, Weaver DL, Wieand HS, Greene FL: Revision of the American Joint Committee on Cancer staging system for breast cancer. J Clin Oncol. 2002, 20 (17): 3628-3636. 10.1200/JCO.2002.02.026.CrossRefPubMed
14.
Zurück zum Zitat Cordella C, Luebbers HT, Rivelli V, Gratz KW, Kruse AL: An evaluation of the preoperative hemoglobin level as a prognostic factor for oral squamous cell carcinoma. Head Neck Oncol. 2011, 3: 35-10.1186/1758-3284-3-35.CrossRefPubMedPubMedCentral Cordella C, Luebbers HT, Rivelli V, Gratz KW, Kruse AL: An evaluation of the preoperative hemoglobin level as a prognostic factor for oral squamous cell carcinoma. Head Neck Oncol. 2011, 3: 35-10.1186/1758-3284-3-35.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Gilreath JA, Stenehjem DD, Rodgers GM: Diagnosis and treatment of cancer-related anemia. Am J Hematol. 2014, 89 (2): 203-212. 10.1002/ajh.23628.CrossRefPubMed Gilreath JA, Stenehjem DD, Rodgers GM: Diagnosis and treatment of cancer-related anemia. Am J Hematol. 2014, 89 (2): 203-212. 10.1002/ajh.23628.CrossRefPubMed
16.
Zurück zum Zitat Wilson J, Yao GL, Raftery J, Bohlius J, Brunskill S, Sandercock J, Bayliss S, Moss P, Stanworth S, Hyde C: A systematic review and economic evaluation of epoetin alpha, epoetin beta and darbepoetin alpha in anaemia associated with cancer, especially that attributable to cancer treatment. Health Technol Assess. 2007, 11 (13): 1-202.CrossRefPubMed Wilson J, Yao GL, Raftery J, Bohlius J, Brunskill S, Sandercock J, Bayliss S, Moss P, Stanworth S, Hyde C: A systematic review and economic evaluation of epoetin alpha, epoetin beta and darbepoetin alpha in anaemia associated with cancer, especially that attributable to cancer treatment. Health Technol Assess. 2007, 11 (13): 1-202.CrossRefPubMed
17.
Zurück zum Zitat Thompson CA, Steensma DP: Pure red cell aplasia associated with thymoma: clinical insights from a 50-year single-institution experience. Br J Haematol. 2006, 135 (3): 405-407. 10.1111/j.1365-2141.2006.06295.x.CrossRefPubMed Thompson CA, Steensma DP: Pure red cell aplasia associated with thymoma: clinical insights from a 50-year single-institution experience. Br J Haematol. 2006, 135 (3): 405-407. 10.1111/j.1365-2141.2006.06295.x.CrossRefPubMed
18.
Zurück zum Zitat Dubsky P, Sevelda P, Jakesz R, Hausmaninger H, Samonigg H, Seifert M, Denison U, Mlineritsch B, Steger G, Kwasny W, Stöger H, Bartsch R, Stierer M, Taucher S, Fridrik M, Schippinger W, Greil R, Pötter R, Gnant M, Austrian Breast and Colorectal Cancer Study Group: Anemia is a significant prognostic factor in local relapse-free survival of premenopausal primary breast cancer patients receiving adjuvant cyclophosphamide/methotrexate/5-fluorouracil chemotherapy. Clin Cancer Res. 2008, 14 (7): 2082-2087. 10.1158/1078-0432.CCR-07-2068.CrossRefPubMed Dubsky P, Sevelda P, Jakesz R, Hausmaninger H, Samonigg H, Seifert M, Denison U, Mlineritsch B, Steger G, Kwasny W, Stöger H, Bartsch R, Stierer M, Taucher S, Fridrik M, Schippinger W, Greil R, Pötter R, Gnant M, Austrian Breast and Colorectal Cancer Study Group: Anemia is a significant prognostic factor in local relapse-free survival of premenopausal primary breast cancer patients receiving adjuvant cyclophosphamide/methotrexate/5-fluorouracil chemotherapy. Clin Cancer Res. 2008, 14 (7): 2082-2087. 10.1158/1078-0432.CCR-07-2068.CrossRefPubMed
19.
Zurück zum Zitat Peters-Engl C, Cassik P, Schmidt I, Denison U, Medl M, Pokieser W, Sevelda P: Impact of haemoglobin levels during adjuvant chemotherapy on the survival of patients with primary breast cancer. Acta Oncol. 2005, 44 (2): 129-133. 10.1080/02841860510007530-1.CrossRefPubMed Peters-Engl C, Cassik P, Schmidt I, Denison U, Medl M, Pokieser W, Sevelda P: Impact of haemoglobin levels during adjuvant chemotherapy on the survival of patients with primary breast cancer. Acta Oncol. 2005, 44 (2): 129-133. 10.1080/02841860510007530-1.CrossRefPubMed
20.
Zurück zum Zitat Vaupel P: The role of hypoxia-induced factors in tumor progression. Oncologist. 2004, 9 (Suppl 5): 10-17.CrossRefPubMed Vaupel P: The role of hypoxia-induced factors in tumor progression. Oncologist. 2004, 9 (Suppl 5): 10-17.CrossRefPubMed
21.
Zurück zum Zitat Harrison L, Blackwell K: Hypoxia and anemia: factors in decreased sensitivity to radiation therapy and chemotherapy?. Oncologist. 2004, 9 (Suppl 5): 31-40.CrossRefPubMed Harrison L, Blackwell K: Hypoxia and anemia: factors in decreased sensitivity to radiation therapy and chemotherapy?. Oncologist. 2004, 9 (Suppl 5): 31-40.CrossRefPubMed
22.
Zurück zum Zitat Vaupel P, Mayer A, Hockel M: Impact of hemoglobin levels on tumor oxygenation: the higher, the better?. Strahlenther Onkol. 2006, 182 (2): 63-71. 10.1007/s00066-006-1543-7.CrossRefPubMed Vaupel P, Mayer A, Hockel M: Impact of hemoglobin levels on tumor oxygenation: the higher, the better?. Strahlenther Onkol. 2006, 182 (2): 63-71. 10.1007/s00066-006-1543-7.CrossRefPubMed
23.
Zurück zum Zitat Vaupel P, Mayer A, Briest S, Hockel M: Hypoxia in breast cancer: role of blood flow, oxygen diffusion distances, and anemia in the development of oxygen depletion. Adv Exp Med Biol. 2005, 566: 333-342. 10.1007/0-387-26206-7_44.CrossRefPubMed Vaupel P, Mayer A, Briest S, Hockel M: Hypoxia in breast cancer: role of blood flow, oxygen diffusion distances, and anemia in the development of oxygen depletion. Adv Exp Med Biol. 2005, 566: 333-342. 10.1007/0-387-26206-7_44.CrossRefPubMed
24.
Zurück zum Zitat Vaupel P, Harrison L: Tumor hypoxia: causative factors, compensatory mechanisms, and cellular response. Oncologist. 2004, 9 (Suppl 5): 4-9.CrossRefPubMed Vaupel P, Harrison L: Tumor hypoxia: causative factors, compensatory mechanisms, and cellular response. Oncologist. 2004, 9 (Suppl 5): 4-9.CrossRefPubMed
25.
Zurück zum Zitat Teicher BA: Acute and chronic in vivo therapeutic resistance. Biochem Pharmacol. 2009, 77 (11): 1665-1673. 10.1016/j.bcp.2009.01.006.CrossRefPubMed Teicher BA: Acute and chronic in vivo therapeutic resistance. Biochem Pharmacol. 2009, 77 (11): 1665-1673. 10.1016/j.bcp.2009.01.006.CrossRefPubMed
26.
Zurück zum Zitat Harrison LB, Chadha M, Hill RJ, Hu K, Shasha D: Impact of tumor hypoxia and anemia on radiation therapy outcomes. Oncologist. 2002, 7 (6): 492-508. 10.1634/theoncologist.7-6-492.CrossRefPubMed Harrison LB, Chadha M, Hill RJ, Hu K, Shasha D: Impact of tumor hypoxia and anemia on radiation therapy outcomes. Oncologist. 2002, 7 (6): 492-508. 10.1634/theoncologist.7-6-492.CrossRefPubMed
27.
Zurück zum Zitat Vaupel P, Thews O, Hoeckel M: Treatment resistance of solid tumors: role of hypoxia and anemia. Med Oncol. 2001, 18 (4): 243-259. 10.1385/MO:18:4:243.CrossRefPubMed Vaupel P, Thews O, Hoeckel M: Treatment resistance of solid tumors: role of hypoxia and anemia. Med Oncol. 2001, 18 (4): 243-259. 10.1385/MO:18:4:243.CrossRefPubMed
28.
Zurück zum Zitat Vaupel P, Mayer A, Briest S, Hockel M: Oxygenation gain factor: a novel parameter characterizing the association between hemoglobin level and the oxygenation status of breast cancers. Cancer Res. 2003, 63 (22): 7634-7637.PubMed Vaupel P, Mayer A, Briest S, Hockel M: Oxygenation gain factor: a novel parameter characterizing the association between hemoglobin level and the oxygenation status of breast cancers. Cancer Res. 2003, 63 (22): 7634-7637.PubMed
29.
Zurück zum Zitat Vaupel P, Briest S, Hockel M: Hypoxia in breast cancer: pathogenesis, characterization and biological/therapeutic implications. Wien Med Wochenschr. 2002, 152 (13–14): 334-342.CrossRefPubMed Vaupel P, Briest S, Hockel M: Hypoxia in breast cancer: pathogenesis, characterization and biological/therapeutic implications. Wien Med Wochenschr. 2002, 152 (13–14): 334-342.CrossRefPubMed
30.
Zurück zum Zitat Hockel M, Vaupel P: Tumor hypoxia: definitions and current clinical, biologic, and molecular aspects. J Natl Cancer Inst. 2001, 93 (4): 266-276. 10.1093/jnci/93.4.266.CrossRefPubMed Hockel M, Vaupel P: Tumor hypoxia: definitions and current clinical, biologic, and molecular aspects. J Natl Cancer Inst. 2001, 93 (4): 266-276. 10.1093/jnci/93.4.266.CrossRefPubMed
31.
Zurück zum Zitat Bos R, Zhong H, Hanrahan CF, Mommers EC, Semenza GL, Pinedo HM, Abeloff MD, Simons JW, van Diest PJ, van der Wall E: Levels of hypoxia-inducible factor-1 alpha during breast carcinogenesis. J Natl Cancer Inst. 2001, 93 (4): 309-314. 10.1093/jnci/93.4.309.CrossRefPubMed Bos R, Zhong H, Hanrahan CF, Mommers EC, Semenza GL, Pinedo HM, Abeloff MD, Simons JW, van Diest PJ, van der Wall E: Levels of hypoxia-inducible factor-1 alpha during breast carcinogenesis. J Natl Cancer Inst. 2001, 93 (4): 309-314. 10.1093/jnci/93.4.309.CrossRefPubMed
32.
Zurück zum Zitat Zhou J, Schmid T, Schnitzer S, Brune B: Tumor hypoxia and cancer progression. Cancer Lett. 2006, 237 (1): 10-21. 10.1016/j.canlet.2005.05.028.CrossRefPubMed Zhou J, Schmid T, Schnitzer S, Brune B: Tumor hypoxia and cancer progression. Cancer Lett. 2006, 237 (1): 10-21. 10.1016/j.canlet.2005.05.028.CrossRefPubMed
33.
Zurück zum Zitat Liao D, Johnson RS: Hypoxia: a key regulator of angiogenesis in cancer. Cancer Metastasis Rev. 2007, 26 (2): 281-290. 10.1007/s10555-007-9066-y.CrossRefPubMed Liao D, Johnson RS: Hypoxia: a key regulator of angiogenesis in cancer. Cancer Metastasis Rev. 2007, 26 (2): 281-290. 10.1007/s10555-007-9066-y.CrossRefPubMed
34.
Zurück zum Zitat Varlotto J, Stevenson MA: Anemia, tumor hypoxemia, and the cancer patient. Int J Radiat Oncol Biol Phys. 2005, 63 (1): 25-36. 10.1016/j.ijrobp.2005.04.049.CrossRefPubMed Varlotto J, Stevenson MA: Anemia, tumor hypoxemia, and the cancer patient. Int J Radiat Oncol Biol Phys. 2005, 63 (1): 25-36. 10.1016/j.ijrobp.2005.04.049.CrossRefPubMed
35.
Zurück zum Zitat Vaupel P, Mayer A: Hypoxia in cancer: significance and impact on clinical outcome. Cancer Metastasis Rev. 2007, 26 (2): 225-239. 10.1007/s10555-007-9055-1.CrossRefPubMed Vaupel P, Mayer A: Hypoxia in cancer: significance and impact on clinical outcome. Cancer Metastasis Rev. 2007, 26 (2): 225-239. 10.1007/s10555-007-9055-1.CrossRefPubMed
36.
Zurück zum Zitat Vleugel MM, Greijer AE, Shvarts A, van der Groep P, van Berkel M, Aarbodem Y, van Tinteren H, Harris AL, van Diest PJ, van der Wall E: Differential prognostic impact of hypoxia induced and diffuse HIF-1alpha expression in invasive breast cancer. J Clin Pathol. 2005, 58 (2): 172-177. 10.1136/jcp.2004.019885.CrossRefPubMedPubMedCentral Vleugel MM, Greijer AE, Shvarts A, van der Groep P, van Berkel M, Aarbodem Y, van Tinteren H, Harris AL, van Diest PJ, van der Wall E: Differential prognostic impact of hypoxia induced and diffuse HIF-1alpha expression in invasive breast cancer. J Clin Pathol. 2005, 58 (2): 172-177. 10.1136/jcp.2004.019885.CrossRefPubMedPubMedCentral
37.
Zurück zum Zitat Vaupel P: Prognostic potential of the pre-therapeutic tumor oxygenation status. Adv Exp Med Biol. 2009, 645: 241-246. 10.1007/978-0-387-85998-9_36.CrossRefPubMed Vaupel P: Prognostic potential of the pre-therapeutic tumor oxygenation status. Adv Exp Med Biol. 2009, 645: 241-246. 10.1007/978-0-387-85998-9_36.CrossRefPubMed
38.
Zurück zum Zitat Rodgers GM: A perspective on the evolution of management of cancer- and chemotherapy-induced anemia. J Natl Compr Canc Netw. 2012, 10 (4): 434-437.PubMed Rodgers GM: A perspective on the evolution of management of cancer- and chemotherapy-induced anemia. J Natl Compr Canc Netw. 2012, 10 (4): 434-437.PubMed
39.
Zurück zum Zitat Rodgers GR, Becker PS, Blinder M, Cella D, Chanan-Khan A, Cleeland C, Coccia PF, Djulbegovic B, Gilreath JA, Kraut EH, Matulonis UA, Millenson MM, Reinke D, Rosenthal J, Schwartz RN, Soff G, Stein RS, Vlahovic G, Weir AB: Cancer- and chemotherapy-induced anemia. J Natl Compr Canc Netw. 2012, 10 (5): 628-653.PubMed Rodgers GR, Becker PS, Blinder M, Cella D, Chanan-Khan A, Cleeland C, Coccia PF, Djulbegovic B, Gilreath JA, Kraut EH, Matulonis UA, Millenson MM, Reinke D, Rosenthal J, Schwartz RN, Soff G, Stein RS, Vlahovic G, Weir AB: Cancer- and chemotherapy-induced anemia. J Natl Compr Canc Netw. 2012, 10 (5): 628-653.PubMed
40.
Zurück zum Zitat Khorana AA, Francis CW, Blumberg N, Culakova E, Refaai MA, Lyman GH: Blood transfusions, thrombosis, and mortality in hospitalized patients with cancer. Arch Intern Med. 2008, 168 (21): 2377-2381. 10.1001/archinte.168.21.2377.CrossRefPubMedPubMedCentral Khorana AA, Francis CW, Blumberg N, Culakova E, Refaai MA, Lyman GH: Blood transfusions, thrombosis, and mortality in hospitalized patients with cancer. Arch Intern Med. 2008, 168 (21): 2377-2381. 10.1001/archinte.168.21.2377.CrossRefPubMedPubMedCentral
Metadaten
Titel
Impact of preoperative anemia on relapse and survival in breast cancer patients
verfasst von
YingJun Zhang
YuYang Chen
DongTai Chen
Yu Jiang
Wan Huang
HanDong Ouyang
Wei Xing
MuSheng Zeng
XiaoMing Xie
Weian Zeng
Publikationsdatum
01.12.2014
Verlag
BioMed Central
Erschienen in
BMC Cancer / Ausgabe 1/2014
Elektronische ISSN: 1471-2407
DOI
https://doi.org/10.1186/1471-2407-14-844

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