Literature DB >> 25406979

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

YingJun Zhang, YuYang Chen, DongTai Chen, Yu Jiang, Wan Huang, HanDong Ouyang, Wei Xing, MuSheng Zeng, XiaoMing Xie, Weian Zeng1.   

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.

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Mesh:

Year:  2014        PMID: 25406979      PMCID: PMC4242544          DOI: 10.1186/1471-2407-14-844

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


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 [2-5]. 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 [8-10]. 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).
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 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/dLHb ≥ 12 g/dL χ 2 P
n = 535 (25.2%) n = 1588 (74.8%)
Age
  ≤501384 (65.2)359 (67.1)1025 (64.5)1.1520.283
  >50739 (34.8)176 (32.9)563 (35.5)
Tumor type
  Invasive ductal carcinoma1944 (91.6)503 (94.0)1441 (90.7)5.5610.018
  Other179 (8.4)32 (6.0)147 (9.3)
Tumor stage
  T1703 (33.1)146 (27.3)557 (35.1)32.458<0.001
  T21146 (54.0)284 (53.1)862 (54.3)
  T3 and T4274 (12.9)105 (19.6)169 (10.6)
N stage
  N01185 (55.8)250 (46.7)935 (58.8)38.534<0.001
  N1603 (28.4)159 (29.7)444 (28.0)
  N2211 (9.9)78 (14.6)133 (8.4)
  N3124 (5.8)48 (9.0)76 (4.8)
Histologic grading
  G1G2 or Gx1680 (79.1)425 (79.4)1255 (79.0)0.0410.840
  G3443 (20.9)110 (20.6)333 (21.0)
ER
  Negative846 (39.8)226 (42.3)620 (39.1)6.3850.041
  Positive683 (32.2)182 (34.0)501 (31.5)
  Strongly positive594 (28.0)127 (23.7)467 (29.4)
PR
  Negative654 (30.8)168 (31.4)486 (30.6)8.0780.018
  Positive906 (42.7)249 (46.5)657 (41.4)
  Strongly positive563 (26.5)118 (22.1)445 (28.0)
HER-2
  Negative1067 (50.3)249 (46.5)818 (51.5)10.3150.006
  Positive633 (29.8)154 (28.8)479 (30.2)
  Strongly positive423 (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
  No1318 (62.1)352 (65.8)966 (60.8)4.1880.041
  Yes805 (37.9)183 (34.2)622 (39.2)
Type of surgery
  Modified radical mastectomy2092 (98.5)531 (99.3)1561 (98.3)2.5240.112
  Breast-conserving surgery31 (1.5)4 (0.7)27 (1.7)
Chemotherapy
  No381 (17.9)89 (16.6)292 (18.4)0.8350.361
  Yes1742 (82.1)446 (83.4)1296 (81.6)
Radiotherapy
  No1842 (86.8)452 (84.5)1390 (87.5)3.2320.072
  Yes281 (13.2)83 (15.5)198 (12.5)
Hormonal therapy
  No1366 (64.3)347 (64.9)1019 (64.2)0.0830.773
  Yes757 (35.7)188 (35.1)569 (35.8)
Targeted therapy
  No2109 (99.3)530 (99.1)1579 (99.4)-0.361a
  Yes14 (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 status 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
Age0.0350.101
Tumor type0.0140.509
T stage−0.078<0.001
N stage−0.0510.019
Clinical stage−0.085<0.001
Histologic grading0.0100.653
ER0.0290.181
PR0.0160.460
HER-2−0.0350.103
BMI0.134<0.001
Chemotherapy−0.0250.242
Radiotherapy−0.0140.521
Hormonal therapy0.0020.912
Targeted therapy−0.0340.115

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 characteristics 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 = 2123Hb < 12 g/dLHb ≥ 12 g/dL χ 2 P
n = 535 (%) n = 1588 (%)
Local relapse
  No2062496 (92.7)1566 (98.6)49.989<0.001
  Yes6139 (7.3)22 (1.4)
Lymph node metastasis
  No2018470 (87.9)1548 (97.5)78.950<0.001
  Yes10565 (12.1)40 (2.5)
Distant metastasis
  No1854392 (73.3)1462 (92.1)127.7<0.001
  Yes269143 (26.7)126 (7.9)
Any relapse
  No1758328 (61.3)1430 (90.1)232.2<0.001
  Yes365207 (38.7)158 (9.9)
Death
  No1869404 (75.5)1465 (92.3)106.5<0.001
  Yes254131 (24.5)123 (7.7)

Abbreviation: Hb hemoglobin.

Prevalence of relapses and deaths in patients with and without anemia 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).
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 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

LRFSLNMFSDMFSRFSOS
HR (95% CI) P HR (95% CI) P 95% CI P 95% CI P 95% CI P
T stage
    T1 Ref NSNS Ref Ref Ref
    T2 1.045 (0.532–2.050)0.899NSNS1.333 (0.962–1.847)0.0841.287 (0.976–1.697)0.0741.291 (0.925–1.803)0.134
    ≥T3 2.676 (1.267–5.653)0.010NSNS1.983 (1.347–2.920)0.0012.021 (1.455–2.807)<0.0012.020 (1.371–2.975)<0.001
N stage
    N0 Ref Ref Ref Ref Ref
    N1 2.601 (1.366–4.963)0.0042.235 (1.366–3.657)0.0012.040 (1.493–2.788)<0.0012.009 (1.544–2.615)<0.0011.942 (1.404–2.687)<0.001
    N2 2.708 (1.122–6.534)0.0273.742 (2.058–6.805)<0.0013.484 (2.358–5.147)<0.0013.016 (2.152–4.225)<0.0014.200 (2.854–6.181)<0.001
    N3 2.450 (0.859–6.989)0.0942.045 (0.912–4.487)0.0834.822 (3.175–7.323)<0.0013.856 (2.672–5.565)<0.0015.083 (3.307–7.812)<0.001
    ER
    Negative Ref NSNS Ref Ref Ref
    Positive0.525 (0.261–1.057)0.071NSNS0.670 (0.479–0.937)0.0190.726 (0.547–0.965)0.0270.845 (0.598–1.194)0.340
    Strongly positive0.340 (0.144–0.803)0.014NSNS0.804 (0.537–1.206)0.2920.757 (0.534–1.074)0.1190.566 (0.360–0.890)0.014
PR
    Negative Ref NSNSNSNS Ref NSNSNS
    Positive1.709 (0.826–3.535)0.149NSNSNSNS1.409 (1.066–1.861)0.016NSNS
    Strongly positive2.989 (1.236–7.228)0.015NSNSNSNS0.899 (0.611–1.322)0.588NSNS
HER-2
    Negative Ref NSNSNSNSNSNSNSNS
    Positive2.179 (1.232–3.855)0.007NSNSNSNSNSNSNSNS
    Strongly positive0.651 (0.292–1.451)0.294NSNSNSNSNSNSNSNS
Hormonal therapyNSNS0.537 (0.335–0.859)0.009NSNS0.733 (0.575–0.933)0.0120.682 (0.503–0.926)0.014
Anemia4.939 (2.875–8.484)<0.0015.160 (3.428–7.767)<0.0013.192 (2.489–4.094)<0.0014.104 (3.310–5.089)<0.0012.849 (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 OS 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 [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 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 [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 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.
  40 in total

Review 1.  Impact of anemia in patients with head and neck cancer treated with radiation therapy.

Authors:  Kenneth Hu; Louis B Harrison
Journal:  Curr Treat Options Oncol       Date:  2005-01

Review 2.  Hypoxia and anemia: factors in decreased sensitivity to radiation therapy and chemotherapy?

Authors:  Louis Harrison; Kimberly Blackwell
Journal:  Oncologist       Date:  2004

Review 3.  Tumor hypoxia: causative factors, compensatory mechanisms, and cellular response.

Authors:  Peter Vaupel; Louis Harrison
Journal:  Oncologist       Date:  2004

Review 4.  The role of hypoxia-induced factors in tumor progression.

Authors:  Peter Vaupel
Journal:  Oncologist       Date:  2004

5.  Pre-treatment haemoglobin concentration is a prognostic factor in patients with early-stage breast cancer.

Authors:  E G Kandemir; A Mayadagli; O Turken; M Yaylaci; A Ozturk
Journal:  J Int Med Res       Date:  2005 May-Jun       Impact factor: 1.671

6.  Impact of haemoglobin levels during adjuvant chemotherapy on the survival of patients with primary breast cancer.

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

7.  Differential prognostic impact of hypoxia induced and diffuse HIF-1alpha expression in invasive breast cancer.

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

Review 8.  Prognostic and predictive factors in early-stage breast cancer.

Authors:  Mary Cianfrocca; Lori J Goldstein
Journal:  Oncologist       Date:  2004

Review 9.  Prevalence and outcomes of anemia in cancer: a systematic review of the literature.

Authors:  Kevin Knight; Sally Wade; Lodovico Balducci
Journal:  Am J Med       Date:  2004-04-05       Impact factor: 4.965

10.  Oxygenation gain factor: a novel parameter characterizing the association between hemoglobin level and the oxygenation status of breast cancers.

Authors:  Peter Vaupel; Arnulf Mayer; Susanne Briest; Michael Höckel
Journal:  Cancer Res       Date:  2003-11-15       Impact factor: 12.701

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  17 in total

Review 1.  [Iron deficiency : Recognition and treatment].

Authors:  S von Haehling; H Ottenjann; S D Anker
Journal:  Internist (Berl)       Date:  2017-06       Impact factor: 0.743

2.  The Prognostic Significance of Preoperative Anemia in Gastric Cancer Patients.

Authors:  Tomohiro Kunishige; Kazuhiro Migita; Sohei Matsumoto; Kohei Wakatsuki; Hiroshi Nakade; Satoko Aoki; Shintaro Miyao; Takanari Tatsumi; Akinori Tsujimoto; Masayuki Sho
Journal:  In Vivo       Date:  2022 Sep-Oct       Impact factor: 2.406

3.  Effect of Anemia in Postoperative Outcomes of Autologous Breast Reconstruction Surgery.

Authors:  Hossein Masoomi; Matthew R Greives; Andrew D Cantor; Erik S Marques
Journal:  World J Plast Surg       Date:  2019-09

4.  Differences in Health-Related Outcomes and Health Care Resource Utilization in Breast Cancer Survivors With and Without Type 2 Diabetes.

Authors:  Susan Storey; Zuoyi Zhang; Xiao Luo; Megan Metzger; Amrutha Ravali Jakka; Kun Huang; Diane Von Ah
Journal:  J Patient Cent Res Rev       Date:  2022-01-17

5.  Association of Pretreatment Anemia with Pathological Response and Survival of Breast Cancer Patients Treated with Neoadjuvant Chemotherapy: A Population-Based Study.

Authors:  Wenjie Zhu; Binghe Xu
Journal:  PLoS One       Date:  2015-08-20       Impact factor: 3.240

6.  Pretreatment Hematocrit Is Superior to Hemoglobin as a Prognostic Factor for Triple Negative Breast Cancer.

Authors:  Bo Chen; Danian Dai; Hailin Tang; Xiaohong Ai; Xi Chen; Xiaoyan Zhang; Zhiyan Li; Xiaoming Xie
Journal:  PLoS One       Date:  2016-11-16       Impact factor: 3.240

7.  Hemoglobin level trajectories in the early treatment period are related with survival outcomes in patients with breast cancer.

Authors:  Chia-Lin Lee; Chun-Hao Tsai; Dah-Cherng Yeh; Chi-Shy Lin; Yu-Fen Li; Huey-En Tzeng
Journal:  Oncotarget       Date:  2017-01-03

8.  Predictive value of dynamic change of haemoglobin levels during therapy on treatment outcomes in patients with Enneking stage IIB extremity osteosarcoma.

Authors:  Jian Tu; Lili Wen; Zijun Huo; Bo Wang; Yongqian Wang; Hongyi Liao; Weihai Liu; Xian Zhong; Jianqiu Kong; Mengqi Wang; Gang Huang; Junqiang Yin; Xianbiao Xie; Jingnan Shen
Journal:  BMC Cancer       Date:  2018-04-16       Impact factor: 4.430

9.  Clinical significance of anemia as a prognostic factor in non-small cell lung cancer carcinoma with activating epidermal growth factor receptor mutations.

Authors:  Hye Seon Kang; Ah Young Shin; Chang Dong Yeo; Chan Kwon Park; Ju Sang Kim; Jin Woo Kim; Seung Joon Kim; Sang Haak Lee; Sung Kyoung Kim
Journal:  J Thorac Dis       Date:  2020-05       Impact factor: 2.895

10.  Impact of preoperative anemia on outcomes in patients undergoing curative resection for gastric cancer: a single-institution retrospective analysis of 2163 Chinese patients.

Authors:  Xuechao Liu; Haibo Qiu; Yuying Huang; Dazhi Xu; Wei Li; Yuanfang Li; Yingbo Chen; Zhiwei Zhou; Xiaowei Sun
Journal:  Cancer Med       Date:  2018-01-17       Impact factor: 4.452

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