Skip to main content

Correlation between Duffy blood group phenotype and breast cancer incidence



Different ethnicities have different distribution of Duffy blood group (DBG) phenotypes and different breast cancer morbidity. A study in our lab demonstrated that Duffy antigen/receptor for chemokines (DARC, also known as DBGP, the Duffy protein phenotype), led to the inhibition of tumorigenesis. Therefore, we tested the hypothesis that DBGP is correlated with breast cancer occurrence.


DBGP proteins were examined by indirect antiglobulin testing with anti-FYa and anti-FYb antibodies. The phenotypes were classified into four groups according to the agglutination reactions: FYa + FYb+, FYa + FYb-, FYa-FYb + and FYa-FYb-. The phenotypes and pathological diagnosis of consecutively hospitalized female patients (n = 5,022) suffering from breast cancer at the Shanghai Cancer Hospital and Henan Province Cancer Hospital were investigated. The relationships between DBGP expression with breast cancer occurrence, axillary lymph status, histological subtype, tumor size pathological grade and overall survival were analyzed.


The incidence of breast cancer was significantly different between FYa + FYb + (29.8%), FYa + FYb- (33.2%), FYa-FYb + (45.6%) and FYa-FYb- (59.1%; P = 0.001). Significant different numbers of breast cancer patients had metastases to the axillary lymph nodes in the FYa + FYb + group (25.1%), FYa + FYb- (36.9%), FYa-FYb + (41.0%) and FYa-FYb- (50.0%, (P = 0.005). There was a statistical significance (p = 0.022) of the overall survival difference between patients with difference phenotypes. No significant difference was observed in cancer size (t-test, p > 0.05), histological cancer type (Fisher's exact test, p > 0.05) or histological grade (Fisher's exact test, p > 0.05) between every each DBGP group.


DBGP is correlated with breast cancer incidence and axillary lymph node metastasis and overall survival. Further investigations are required to determine the underlying mechanism of Duffy blood group phenotype on breast cancer risk.

Peer Review reports


Duffy blood group (DBG) system consists of genotype systems, phenotype systems and five antigens. The genotype system of DBG consists of four alleles, FYA, FYB, FYBES, and FYBWK. The DBG phenotype (DBGP) system consists of five phenotypes [FYa + FYb+, FYa + FYb-, FYa-FYb+, FYa-FYb + (wK), and FYa-FYb-]. In addition to these genotype and phenotype systems, the DBG system consists of five antigens (DBGP proteins), termed FYa, FYb, FY3, FY5 and FY6 [1]. The majority of antigens are FYa and FYb, which are encoded by the allelic FYA and FYB genes. Anti-FYa and anti-FYb antibodies define four red blood cell (RBC) phenotypes: FYa + FYb-, FYa-FYb+, FYa + FYb+, and FYa-FYb- [2].

The DBGP system is embodied by proteins that carry blood group antigens on the surfaces of RBC. These proteins have the same structural and functional basis as Duffy antigen/receptor for chemokines (DARC), which is the chemokine decoy receptor on the surface of RBCs and other cells [3, 4]. The DBGP protein on the surfaces of RBCs has the same structure and decoy function as DARC, which was termed DBGP/DARC in this paper.

DBGP/DARC is a 336 amino-acid glycoprotein that can bind to members of the CXC and CC classes of chemokines, including interleukin-8 (IL-8), monocyte chemotactic protein-1 (MCP-1) and RANTES (Regulated on Activation, Normal T Expressed and Secreted) [5, 6]. These chemokines have been implicated in the pathogenesis of breast cancer [79].

Besides these ligands are correlated with breast cancer, DBGP/DARC has aroused the interest in cancer research as it has been implicated in non-small cell lung cancer tumorigenesis (NSCLC) [10], prostate cancer incidence [11, 12], and breast cancer development [13]. NSCLC tumor cells that overexpress DBG have increased levels of tumor necrosis [10]. DBGP/DARC clears angiogenic CXC chemokines and reduced chemotaxis in the vasculature [11, 14]. Moreover, DBG interacts with a prostate cancer metastasis suppressor gene, KAI1, and inhibits the proliferation of prostate cancer cells [15, 16].

Our previous studies have observed that breast cancer lines, MDA-MB-231 and MDA-MB-435, that overexpressed DBGP/DARC induced the inhibition of tumorigenesis through interfering with tumor angiogenesis in rats, and this inhibition was associated with decreased expression levels of CCL2 (Chemokine C-C motif ligand 2, one of DBGP/DARC ligand), decreased microvascular density and decreased MMP-9 (matrix metalloproteinase-9) expression in xenograft tumors [13]. Furthermore, the downregulation of DBG was associated with lymph node metastasis in human breast cancer [17].

Moreover, different ethnicities have different distribution of Duffy blood group (DBG) phenotypes and different breast cancer morbidity.

To date, no epidemiological study has validated the above findings. Based on these previous findings, we designed this study to assess whether there is a correlation between Duffy blood group phenotype (DBGP/DARC) and breast cancer incidence using a clinical epidemiological approach.


Study subjects

This study was carried out on a series of 5,022 consecutively hospitalized female patients (mean age, 50.5 ± 13.1 yr; range, 13–83 yr) with either benign or malignant breast disease. All patients were hospitalized at either the Shanghai Cancer Hospital or Henan Province Cancer Hospital between July 15th, 2006 and November 14th, 2007. The protocol of this study was approved by the human research committee of both hospitals, and informed consent was obtained from each patient. All patients were followed-up to determine their clinical outcome.

Patients were excluded from the study if they fulfilled one or more of the following criteria: 1) no histological diagnosis was obtained as the patient had not undergone surgery or core biopsy (n = 62); 2) histology revealed a malignant phyllodes tumor (n = 33) and so could not be classified as either a breast cancer or a benign lesion; and 3) patients had undergone neoadjuvent therapy which could have influenced the postoperative histological diagnosis (n = 228). Overall, 323 patients were excluded from the study and 5,022 patients were enrolled in this study.

Blood samples and test reagents

A 2-ml sample of whole blood was obtained in a glass tube pretreated with EDTA (100 μg/mL), and stored at 4°C. Anti-FYa and Anti-FYb reagents were obtained from Biotest Corporation (Germany). Anti-human globulins were obtained from the Shanghai Blood Center (China), who kindly offered FYa- and FYb-positive or -negative RBCs as a gift.

Indirect antiglobulin-test

Within 5 days of sampling, blood samples were subjected to the indirect antiglobulin-test according to standard procedures described in the instructions accompanying the reagents and previously published methods [18]. The reaction strength was evaluated according to the Technical Manual, 12th Edition, Section 1, American Association of Blood Banks.

A positive and a negative control were performed in a parallel experiment. Patient phenotypes were classified into four types: FYa + FYb+, FYa + FYb-, FYa-FYb + and FYa-FYb- according to the presence or absence of FYa and FYb antigens.

Pathological diagnosis

All of the histological diagnosis was based on formalin-fixed paraffin-embedded sections. The pathological features were reviewed by two experienced pathologists who were specialized in breast pathology independently. The chief pathological diagnosis was the determination of whether a lesion was malignant or benign. The histopathological features of breast cancer were reported, including tumor size, histological cancer subtype and pathological grade.

If the benign leision(s) and breast cancer(s) co-exist in one patient, the patient is determined and subjected to statistical analysis as breast cancer patient.

Statistical analysis

All statistical analyses were performed using SPSS (version17.0). A P-value <0.05 was considered to be statistically significant. Between-group comparisons for the incidence of breast cancer and axillary lymph node metastasis in every DBGP group were performed with the Chi-square test. The significance of overall survival difference among DBGP was tested according to the log rank test. The difference in tumor size between DBGP groups was analyzed by the Student's t-test. The differences in histological cancer types and histological grades were compared using the Fisher's exact test.


DBGPs distribution (DBGPD)

The details of a total of 5,022 consecutively enrolled patients with 6,012 pathological diagnoses are summarized in Table 1. There were 3,855 benign lesions in 3,060 patients, 1,992 breast cancers in 1,962 patients, and 165 additional benign lesions in the 1,962 patients with breast cancer. Overall, 620 patients were FYa + FYb + (12.3%), 4,262 were FYa + FYb- (84.9%), 120 were FYa-FYb + (2.4%) and 20 were FYa-FYb- (0.4%) (Table 2).

Table 1 The pathological diagnoses in a total of 5,022 female hospitalized patients
Table 2 The numerical value and percentage of breast cancer cases and cancer size in different DBG phenotypes of 5,022 patients (6,012 pathological diagnoses)

Breast cancer incidence and surgical treatment

Among the 1,992 breast cancers in 1,962 patients, 125 were DCIS and 1,867 were invasive breast cancers. Of these, 26 out of the 1,825 patients had bilateral invasive cancers, and three patients had invasive cancers and contralateral DCIS. One patient out of the 125 patients with DCIS had bilateral DCIS. Eleven patients had an operable locoregional recurrence, and two patients had occult breast cancers.

Among the 1,867 invasive breast cancers, 1,406 patients underwent total mastectomy and axillary dissection at levels I or II (modified radical mastectomy), 294 underwent breast-conserving surgery, 156 underwent sentinel lymph node biopsies, and 11 patients with operable locoregional recurrence underwent radical mastectomy. Among the 125 patients with DCIS, 76 underwent breast-conserving surgery, 35 underwent a total mastectomy, and 14 patients with DCIS and microinvasion underwent sentinel lymph node biopsies.

The relationship between DBGPD and breast cancer incidence and overall survival

A statistically significant difference was observed between every DBG phenotype and breast cancer incidence (29.8% were FYa + FYb+; 33.2% were FYa + FYb-; 45.6% were FYa-FYb + and 59.1% were FYa-FYb-; P = 0.001; Table 2).

There was a statistical significance (p = 0.022) of the overall survival difference between patients with difference phenotypes (Figure 1). The overall survival curves were generated using Kaplan-Meier method.

Figure 1

The 5 year overall survival curves indicated a statistical significance (p = 0.02) of the overall survival difference between patients with difference phenotypes. The 5 year overall survival distribution was 91.0% in Fya + Fyb+, 86.5% in Fya + Fyb-, 83.3% in Fya-Fyb + and 75.0% in Fya-Fyb-.

The relationship of DBGPD and clinicopathological variables

No significant difference was observed between each DBG phenotype and tumor size (Table 2; p > 0.05). A statistically significant difference in the incidence of axillary lymph node metastasis were observed in breast cancer patients with FYa + FYb + (25.1%), FYa + FYb- (36.9%), FYa-FYb + (41.0%) and FYa-FYb- (50.0%; P = 0.005) phenotypes (Table 3). The difference in pathological grades between every DBG phenotype was not significantly different (p > 0.05; Table 4). There was also no correlation between DBGPs and the histological cancer subtypes (p > 0.05; Table 5). No significant difference was observed between the DBG phenotype and patient age (Student's t-test, p > 0.05) or menopausal status (Fisher's Exact Test, p > 0.05; data not shown).

Table 3 Axillary lymph node status of 1,867 invasive breast cancers (absolute numbers and percentages)
Table 4 The pathological grade of 1,867 invasive breast cancers
Table 5 Correlations between the histological type of 1,979 breast cancers and DBGP status (11 cases of supplementary radical surgery and two cases of occult breast cancer were excluded)


Breast cancer incidence was higher in FYa-FYb + and FYa-FYb-

The results of the current study indicated that breast cancer occurred at significantly higher levels (P = 0.001) in patients with the FYa-FYb + (45.6%) and FYa-FYb- (59.1%) phenotypes than the FYa + FYb + (29.8%) and FYa + FYb- (33.2%) phenotypes. One potential mechanism for this is that the DBG-ligand binding affinity on RBC membranes differs between DBGPs, which may result in different degrees of tumorigenicity.

Tournamille et al. found that a chemokine-binding pocket was defined by the close proximity of the first and fourth transmembrane domains of the DBG/DARC protein and also by the importance of the N-terminal extracellular region correlated to chemokines binding to the DBG protein [19, 20]. Woolley et al. developed a flow cytometric method to test the quantity of DBG on the surface of RBCs [21]. They found that FY6 levels were significantly lower on mature RBCs of the FYB/FYB genotype than on those of the FYA/FYA or FYA/FYB genotype. Beside this, 5,000-10,000 DBG molecules were found on a single RBC. Horuk et al. developed saturation binding studies on a erythroleukemic cell line (HEL) and observed that the DBG density was 12,818 +/− 965 binding sites for every cell [5]. These data suggested that RBCs with abundant DBG expression on their surfaces might clear many angiogenic CXC chemokines and decrease chemotaxis in patients with breast cancer. Thereafter, the tumorigenicity of breast cancer cells could be attenuated.

Woolley et al. indicated that Fy6 levels were significantly lower on reticulocytes and mature RBCs of the FYB/FYB genotype (encoding the FYa-FYb + phenotype) than on those of the FYA/FYA (encoding the FYa + FYb- phenotype) or FYA/FYB genotypes (encoding FYa + FYb+) [21]. Moreover, the FYa + FYb + phenotype presented the FYa and FYb antigens, FYa + FYb- presented the FYa antigen had no FYb antigens, and so on. Based on these published reports, we tentatively propose that different DBGPs had different quantities and/or quality of DBG expression on the surface of every RBC. There might be more Duffy antigens expressed on one RBC belonging to an individual with the FYa + FYb + phenotype and a FYa + FYb- individual than on FYa-FYb + or FYa-FYb- individuals. Consequently, FYa + FYb + and FYa + FYb- individuals would have higher chemokine binding capacities than FYa-FYb + and FYa-FYb- individuals, and the FYa + FYb + and FYa + FYb- phenotype offer more protection against breast cancer than the FYa-FYb + and FYa-FYb- phenotypes. Therefore, patients with the former two phenotypes appear to be at a lower risk of breast cancer than patients who express the latter two phenotypes.

DBGPD and tumor size and axillary lymph nodes status

A previous study had indicated that there was no difference in the frequencies of DBGPs between breast cancer patients compared to a healthy Han population in China (data not shown) [22]. One possible reason for no significant difference in tumor size between each DBGP was that these patients were only diagnosed when their mass was great enough to be discovered. A subclinical period was therefore present before this point.

Significantly more breast cancer patients had axillary lymph node metastases with in FYa-FYb- (50.0%) and FYa-FYb + (41.0%) than that of FYa + FYb- (36.9%) and FYa + FYb + (25.1%), which confirmed our hypothesis. The regular pattern of tumor size as a predictor of axillary node metastases in patients with breast cancer was generally applicable in the clinical practice. However, even patients with small tumours (0-5 mm) have the possibility of axillary involvement (7–14.5%) [23]. The above-described potential mechanism for different DBGPs resulting in different degrees of tumorigenicity might explain this finding.

Study limitations

Firstly, study subjects were all female patients who were already suffering from breast diseases, and no healthy population was studied prospectively. Therefore, further studies of this protein are required. Secondly, this descriptive and explorative study deduced the mechanism of the link between different DBGPs and breast cancer theoretically, and further studies into the underlying molecular mechanisms are warranted.


DBGPs have a statistically significant effect on breast cancer incidence and the likelihood of axillary lymph node metastasis.



Duffy Blood Group


Duffy antigen/receptor for chemokines


DBG phenotype


Red blood cell


DBG phenotypes distribution


Ductal carcinoma in situ.


  1. 1.

    Pogo AO, Chaudhuri A: The Duffy protein: a malarial and chemokine receptor. Semin Hematol. 2000, 37: 122-129. 10.1016/S0037-1963(00)90037-4.

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Akalin E, Neylan JF: The influence of Duffy blood group on renal allograft outcome in African Americans. Transplantation. 2003, 75: 1496-1500. 10.1097/01.TP.0000061228.38243.26.

    CAS  Article  PubMed  Google Scholar 

  3. 3.

    Neote K, Mak JY, Kolakowski LF, Schall TJ: Functional and biochemical analysis of the cloned Duffy antigen: identity with the red blood cell chemokine receptor. Blood. 1994, 84: 44-52.

    CAS  PubMed  Google Scholar 

  4. 4.

    Chaudhuri A, Zbrzezna V, Polyakova J, Pogo AO, Hesselgesser J, Horuk R: Expression of the Duffy antigen in K562 cells. Evidence that it is the human erythrocyte chemokine receptor. J Biol Chem. 1994, 269: 7835-7838.

    CAS  PubMed  Google Scholar 

  5. 5.

    Horuk R, Wang ZX, Peiper SC, Hesselgesser J: Identification and characterization of a promiscuous chemokine-binding protein in a human erythroleukemic cell line. J Biol Chem. 1994, 269: 17730-17733.

    CAS  PubMed  Google Scholar 

  6. 6.

    Schnabel RB, Baumert J, Barbalic M, Dupuis J, Ellinor PT, Durda P, Dehghan A, Bis JC, Illig T, Morrison AC, Jenny NS, Keaney JF, Gieger C, Tilley C, Yamamoto JF, Khuseyinova N, Heiss G, Doyle M, Blankenberg S, Herder C, Walston JD, Zhu Y, Vasan RS, Klopp N, Boerwinkle E, Larson MG, Psaty BM, Peters A, Ballantyne CM, Witteman JC, Hoogeveen RC, Benjamin EJ, Koenig W, Tracy RP: Duffy antigen receptor for chemokines (Darc) polymorphism regulates circulating concentrations of monocyte chemoattractant protein-1 and other inflammatory mediators. Blood. 2010, 115: 5289-5299. 10.1182/blood-2009-05-221382.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Benoy IH, Salgado R, Van Dam P, Geboers K, Van Marck E, Scharpé S, Vermeulen PB, Dirix LY: Increased serum interleukin-8 in patients with early and metastatic breast cancer correlates with early dissemination and survival. Clin Cancer Res. 2004, 10: 7157-7162. 10.1158/1078-0432.CCR-04-0812.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Niwa Y, Akamatsu H, Niwa H, Sumi H, Ozaki Y, Abe A: Correlations between serum monocyte chemotactic protein-1 levels, clinical prognostic factors, and HER-2/neu vaccine-related immunity in breast cancer patients. Clin Cancer Res. 2006, 12: 478-486. 10.1158/1078-0432.CCR-05-1425.

    Article  Google Scholar 

  9. 9.

    Niwa Y, Akamatsu H, Niwa H, Sumi H, Ozaki Y, Abe A: Correlation of tissue and plasma RANTES levels with disease course in patients with breast or cervical cancer. Clin Cancer Res. 2001, 7: 285-289.

    CAS  PubMed  Google Scholar 

  10. 10.

    Addison CL, Belperio JA, Burdick MD, Strieter RM: Overexpression of the duffy antigen receptor for chemokines (DARC) by NSCLC tumor cells results in increased tumor necrosis. BMC Cancer. 2004, 4: 28-10.1186/1471-2407-4-28.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Lentsch AB: The Duffy antigen/receptor for chemokines (DARC) and prostate cancer. A role as clear as black and white?. FASEB J. 2002, 16: 1093-1095. 10.1096/fj.02-0066hyp.

    CAS  Article  PubMed  Google Scholar 

  12. 12.

    Thomas L: Malaria gene linked to prostate-cancer incidence. Lancet Oncol. 2005, 6: 266-

    Article  PubMed  Google Scholar 

  13. 13.

    Wang J, Ou ZL, Hou YF, Luo JM, Shen ZZ, Ding J, Shao ZM: Enhanced expression of Duffy antigen receptor for chemokines by breast cancer cells attenuates growth and metastasis potential. Oncogene. 2006, 25: 7201-7211. 10.1038/sj.onc.1209703.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Shen H, Schuster R, Stringer KF, Waltz SE, Lentsch AB: The Duffy antigen/receptor for chemokines (DARC) regulates prostate tumor growth. FASEB J. 2006, 20: 59-64. 10.1096/fj.05-4764com.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Sucharita B, Rui Z, Asok C, Misako W, Pai SK, Shigeru H, Sadahiro H, Taisei T, Kunio M, Yukio T, Ken S, Pauza ME, Sunao H, Ying W, Sonia M, Tomoyuki M, Megumi I, Eiji F, Kounosuke W: Interaction of KAI1 on tumor cells with DARC on vascular endothelium leads to metastasis suppression. Nat Med. 2006, 12: 933-938. 10.1038/nm1444.

    Article  Google Scholar 

  16. 16.

    Zijlstra A, Quigley JP: The DARC side of metastasis: shining a light on KAI1-mediated metastasis suppression in the vascular tunnel. Canc Cell. 2006, 10: 177-178. 10.1016/j.ccr.2006.08.012.

    CAS  Article  Google Scholar 

  17. 17.

    Ou ZL, Wang J, Hou YF, Luo JM, Shen ZZ, Shao ZM: Downregulation of Duffy antigen receptor for chemokine (DARC) is associated with lymph node metastasis in human breast cancer. Zhonghua Zhong Liu Za Zhi. 2006, 28: 586-589.

    CAS  PubMed  Google Scholar 

  18. 18.

    Pittoni V, Vaglio S, Magrini L, Accorinti M, Pivetti-Pezzi P, Girelli G, Valesini G: Polymorphism of the Duffy erythrocyte chemokine receptor in Italian patients with Behcet's disease. Rheumatol Int. 2003, 23: 116-120.

    CAS  PubMed  Google Scholar 

  19. 19.

    Tournamille C: Molecular basis and structure-activity relationships of the Duffy blood group antigens: chemokine and Plasmodium vivax receptors. Transfus Clin Biol. 2000, 7: 497-509. 10.1016/S1246-7820(00)80038-5.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Tournamille C, Filipe A, Wasniowska K, Gane P, Lisowska E, Cartron JP, Colin Y, Le Van Kim C: Structure-function analysis of the extracellular domains of the Duffy antigen/receptor for chemokines: characterization of antibody and chemokine binding sites. Br J Haematol. 2003, 122: 1014-1023. 10.1046/j.1365-2141.2003.04533.x.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Woolley IJ, Hotmire KA, Sramkoski RM, Zimmerman PA, Kazura JW: Differential expression of the duffy antigen receptor for chemokines according to RBC age and FY genotype. Transfusion. 2000, 40: 949-953. 10.1046/j.1537-2995.2000.40080949.x.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Yan L, Fu Q, Jin L, Li L: Duffy blood group phenotypes and genotypes in Chinese. Transfusion. 2001, 41: 970-10.1046/j.1537-2995.2001.41070970.x.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Laura S, Coombs NJ, Ung O, Boyages J: Tumour size as a predictor of axillary node metastases in patients with breast cancer. ANZ J Surg. 2006, 76: 1002-1006. 10.1111/j.1445-2197.2006.03918.x.

    Article  PubMed  Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:

Download references


We thank Weili Cheng (Blood Bank of Shanghai Cancer Hospital) for his expert technical assistance in indirect antiglobulin test.

Author information



Corresponding authors

Correspondence to Rong Shen or Zhi-min Shao.

Additional information

Competing interests

The authors declare that the y have no competing interests.

Authors’ contributions

XFL carried out the indirect antiglobulin-test and prepared the manuscript. LFL performed the clinical data analyses and statistical analyses and helped to prepare the manuscript. ZLO participated in the design of the study. RS conceived of the study and gave administrative support for the manuscript. ZMS conceived of the study and gave financial support for the manuscript. All authors read and approved the final manuscript.

Xiao-feng Liu, Lian-fang Li contributed equally to this work.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Liu, X., Li, L., Ou, Z. et al. Correlation between Duffy blood group phenotype and breast cancer incidence. BMC Cancer 12, 374 (2012).

Download citation


  • Duffy blood group
  • Duffy antigen/receptor for chemokines (DARC)
  • Breast cancer