Skip to main content

Advertisement

Log in

Pretreatment levels of circulating Th1 and Th2 cytokines, and their ratios, are associated with ER-negative and triple negative breast cancers

  • Epidemiology
  • Published:
Breast Cancer Research and Treatment Aims and scope Submit manuscript

Abstract

Immune signatures in breast tumors differ by estrogen receptor (ER) status. The purpose of this study was to assess associations between ER phenotypes and circulating levels of cytokines that co-ordinate cell-mediated [T-helper type 1 (Th1)] and humoral [T-helper type 2 (Th2)] immunity. We conducted a case–case comparison of 523 women with newly diagnosed breast cancer to evaluate associations between 27 circulating cytokines, measured using Luminex XMap technology, and breast cancer phenotypes [ER vs. ER+; triple negative breast cancer (TNBC) vs. luminal A (LumA)]. Ratios of Th1 to Th2 cytokines were also evaluated. Levels of interleukin (IL)-5, a Th-2 cytokine, were higher in ER than in ER+ tumors. The highest tertile of IL-5 was more strongly associated with ER (OR = 2.33, 95 % CI 1.40–3.90) and TNBCs (OR = 2.78, 95 % CI 1.53–5.06) compared to ER+ and LumA cancers, respectively, particularly among premenopausal women (OR = 4.17, 95 % CI 1.86–9.34, ER vs. ER+; OR = 5.60, 95 % CI 2.09–15.01, TNBC vs. LumA). Elevated Th1 cytokines were also detected in women with ER and TNBCs, with women in the highest tertile of interferon α2 (OR = 2.39, 95 % CI 1.31–4.35) or tumor necrosis factor-α (OR = 2.27, 95 % CI 1.21–4.26) being twice as likely to have TNBC versus LumA cancer. When cytokine ratios were examined, women with the highest ratios of Th1 cytokines to IL-5 levels were least likely to have ER or TNBCs compared to ER+ or LumA cancers, respectively. The strongest associations were in premenopausal women, who were up to 80 % less likely to have TNBC than LumA cancers (IL-12p40/IL-5, OR = 0.19, 95 % CI 0.07–0.56). These findings indicate that immune function is associated with ER and TNBC and may be most relevant among younger women, who are likely to be diagnosed with these aggressive phenotypes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Abbreviations

AJCC:

American Joint Committee on Cancer

BRCA1:

Breast cancer type 1 susceptibility protein

CCL2:

Chemokine (C–C motif) ligand 2

CCL7:

Chemokine (C–C motif) ligand 7

CCL11:

Chemokine (C–C motif) ligand 11

CK:

Cytokeratin

CXCL10:

Chemokine (C–X–C motif) ligand 10

DBBR:

Data Bank and Biorepository

EGFR+ :

Epidermal growth factor receptor positive

ER:

Estrogen receptor

ER+ :

Estrogen receptor positive

ER :

Estrogen receptor negative

G-CSF:

Granulocyte-colony stimulating factor

GM-CSF:

Granulocyte macrophage-colony stimulating factor

HER2 :

Human epidermal growth factor receptor 2 negative

IFN:

Interferon

IHC:

Immunohistochemistry

IL:

Interleukin

IL1RA:

Interleukin-1 receptor antagonist

IP-10:

Interferon gamma-induced protein 10

IRB:

Institutional Review Board

LumA:

Luminal A

MCP:

Monocyte chemotactic protein

MDC:

Macrophage-derived chemokine

MIP-1:

Macrophage inflammatory protein-1

QC:

Quality control

RPCI:

Roswell Park Cancer Institute

TAMS:

Tumor-associated macrophages

Th1:

T-helper type 1

Th2:

T-helper type 2

Th17:

T-helper type 17

TNBC:

Triple negative breast cancer

TNF:

Tumor necrosis factor

References

  1. Carey LA, Perou CM, Livasy CA et al (2006) Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA 295:2492–2502. doi:10.1001/jama.295.21.2492

    PubMed  CAS  Google Scholar 

  2. Blows FM, Driver KE, Schmidt MK et al (2010) Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies. PLoS Med 7:e1000279. doi:10.1371/journal.pmed.1000279

    PubMed  Google Scholar 

  3. Tischkowitz M, Brunet JS, Begin LR et al (2007) Use of immunohistochemical markers can refine prognosis in triple negative breast cancer. BMC Cancer 7:134. doi:10.1186/1471-2407-7-134

    PubMed  Google Scholar 

  4. Nofech-Mozes S, Trudeau M, Kahn HK et al (2009) Patterns of recurrence in the basal and non-basal subtypes of triple-negative breast cancers. Breast Cancer Res Treat 118:131–137. doi:10.1007/s10549-008-0295-8

    PubMed  Google Scholar 

  5. Carey L, Winer E, Viale G et al (2010) Triple-negative breast cancer: disease entity or title of convenience? Nat Rev Clin Oncol 7:683–692. doi:10.1038/nrclinonc.2010.154

    PubMed  Google Scholar 

  6. Millikan RC, Newman B, Tse CK et al (2008) Epidemiology of basal-like breast cancer. Breast Cancer Res Treat 109:123–139. doi:10.1007/s10549-007-9632-6

    PubMed  Google Scholar 

  7. Hines LM, Risendal B, Byers T et al (2011) Ethnic disparities in breast tumor phenotypic subtypes in Hispanic and non-Hispanic white women. J Womens Health (Larchmt) 20:1543–1550. doi:10.1089/jwh.2010.2558

    Google Scholar 

  8. Davis AA, Kaklamani VG (2012) Metabolic syndrome and triple-negative breast cancer: a new paradigm. Int J Breast Cancer 2012:809291. doi:10.1155/2012/809291

    PubMed  Google Scholar 

  9. Kwan ML, Kushi LH, Weltzien E et al (2009) Epidemiology of breast cancer subtypes in two prospective cohort studies of breast cancer survivors. Breast Cancer Res 11:R31. doi:10.1186/bcr2261

    PubMed  Google Scholar 

  10. Pierce BL, Ballard-Barbash R, Bernstein L et al (2009) Elevated biomarkers of inflammation are associated with reduced survival among breast cancer patients. J Clin Oncol 27:3437–3444. doi:10.1200/JCO.2008.18.9068

    PubMed  CAS  Google Scholar 

  11. Benoy IH, Salgado R, Van Dam P et al (2004) Increased serum interleukin-8 in patients with early and metastatic breast cancer correlates with early dissemination and survival. Clin Cancer Res 10:7157–7162. doi:10.1158/1078-0432.CCR-04-0812

    PubMed  CAS  Google Scholar 

  12. Teschendorff AE, Miremadi A, Pinder SE et al (2007) An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer. Genome Biol 8:R157. doi:10.1186/gb-2007-8-8-r157

    PubMed  Google Scholar 

  13. Rody A, Karn T, Liedtke C et al (2011) A clinically relevant gene signature in triple negative and basal-like breast cancer. Breast Cancer Res 13:R97. doi:10.1186/bcr3035

    PubMed  Google Scholar 

  14. Bianchini G, Qi Y, Alvarez RH et al (2010) Molecular anatomy of breast cancer stroma and its prognostic value in estrogen receptor-positive and -negative cancers. J Clin Oncol 28:4316–4323. doi:10.1200/JCO.2009.27.2419

    PubMed  Google Scholar 

  15. DeNardo DG, Coussens LM (2007) Inflammation and breast cancer. Balancing immune response: crosstalk between adaptive and innate immune cells during breast cancer progression. Breast Cancer Res 9:212. doi:10.1186/bcr1746

    PubMed  Google Scholar 

  16. Bindea G, Mlecnik B, Fridman WH et al (2010) Natural immunity to cancer in humans. Curr Opin Immunol 22:215–222. doi:10.1016/j.coi.2010.02.006

    PubMed  CAS  Google Scholar 

  17. Pardoll D (2009) Metastasis-promoting immunity: when T cells turn to the dark side. Cancer Cell 16:81–82. doi:10.1016/j.ccr.2009.07.007

    PubMed  CAS  Google Scholar 

  18. Waugh DJ, Wilson C (2008) The interleukin-8 pathway in cancer. Clin Cancer Res 14:6735–6741. doi:10.1158/1078-0432.CCR-07-4843

    PubMed  CAS  Google Scholar 

  19. Gabay C (2006) Interleukin-6 and chronic inflammation. Arthritis Res Ther 8(Suppl 2):S3. doi:10.1186/ar1917

    PubMed  Google Scholar 

  20. Salgado R, Junius S, Benoy I et al (2003) Circulating interleukin-6 predicts survival in patients with metastatic breast cancer. Int J Cancer 103:642–646. doi:10.1002/ijc.10833

    PubMed  CAS  Google Scholar 

  21. Elenkov IJ (2004) Glucocorticoids and the Th1/Th2 balance. Ann N Y Acad Sci 1024:138–146. doi:10.1196/annals.1321.010

    PubMed  CAS  Google Scholar 

  22. Kidd P (2003) Th1/Th2 balance: the hypothesis, its limitations, and implications for health and disease. Altern Med Rev 8:223–246

    PubMed  Google Scholar 

  23. Onoe K, Yanagawa Y, Minami K et al (2007) Th1 or Th2 balance regulated by interaction between dendritic cells and NKT cells. Immunol Res 38:319–332

    PubMed  CAS  Google Scholar 

  24. Ambrosone CB, Nesline MK, Davis W (2006) Establishing a cancer center data bank and biorepository for multidisciplinary research. Cancer Epidemiol Biomarkers Prev 15:1575–1577

    PubMed  Google Scholar 

  25. Yao S, Sucheston LE, Millen AE et al (2011) Pretreatment serum concentrations of 25-hydroxyvitamin D and breast cancer prognostic characteristics: a case–control and a case–series study. PLoS ONE 6:e17251. doi:10.1371/journal.pone.0017251

    PubMed  CAS  Google Scholar 

  26. Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc B 57:289–300

    Google Scholar 

  27. Laoui D, Movahedi K, Van Overmeire E et al (2011) Tumor-associated macrophages in breast cancer: distinct subsets, distinct functions. Int J Dev Biol 55:861–867. doi:10.1387/ijdb.113371dl

    PubMed  Google Scholar 

  28. Sheu BC, Chang WC, Cheng CY et al (2008) Cytokine regulation networks in the cancer microenvironment. Front Biosci 13:6255–6268

    PubMed  CAS  Google Scholar 

  29. Wilson J, Balkwill F (2002) The role of cytokines in the epithelial cancer microenvironment. Semin Cancer Biol 12:113–120. doi:10.1006/scbi.2001.0419

    PubMed  CAS  Google Scholar 

  30. Goldberg JE, Schwertfeger KL (2010) Proinflammatory cytokines in breast cancer: mechanisms of action and potential targets for therapeutics. Curr Drug Targets 11:1133–1146

    PubMed  CAS  Google Scholar 

  31. Lyon DE, McCain NL, Walter J et al (2008) Cytokine comparisons between women with breast cancer and women with a negative breast biopsy. Nurs Res 57:51–58

    PubMed  Google Scholar 

  32. Saglam S, Suzme R, Gurdol F (2009) Serum tumor necrosis factor-alpha and interleukin-2 concentrations in newly diagnosed ERBB2 (HER2/neu) positive breast cancer patients. Int J Biol Markers 24:142–146

    PubMed  CAS  Google Scholar 

  33. Gonzalez RM, Daly DS, Tan R et al (2011) Plasma biomarker profiles differ depending on breast cancer subtype but RANTES is consistently increased. Cancer Epidemiol Biomarkers Prev 20:1543–1551. doi:10.1158/1055-9965.EPI-10-1248

    PubMed  CAS  Google Scholar 

  34. Narita D, Seclaman E, Ursoniu S et al (2011) Expression of CCL18 and interleukin-6 in the plasma of breast cancer patients as compared with benign tumor patients and healthy controls. Rom J Morphol Embryol 52:1261–1267

    PubMed  Google Scholar 

  35. Pusztai L, Mendoza TR, Reuben JM et al (2004) Changes in plasma levels of inflammatory cytokines in response to paclitaxel chemotherapy. Cytokine 25:94–102

    PubMed  CAS  Google Scholar 

  36. Herrera AC, Panis C, Victorino VJ, Campos FC, Colado-Simão AN, Cecchini AL, Cecchini R (2012) Molecular subtype is determinant on inflammatory status and immunological profile from invasive breast cancer patients. Cancer Immunol Immunother 61(11):2193–2201. doi:10.1007/s00262-012-1283-8

    PubMed  CAS  Google Scholar 

  37. Corren J (2012) Inhibition of interleukin-5 for the treatment of eosinophilic diseases. Discov Med 13:305–312

    PubMed  Google Scholar 

  38. Corren J (2011) Anti-interleukin-5 antibody therapy in asthma and allergies. Curr Opin Allergy Clin Immunol 11:565–570. doi:10.1097/ACI.0b013e32834c3d30

    PubMed  CAS  Google Scholar 

  39. Lee JJ, Jacobsen EA, McGarry MP et al (2010) Eosinophils in health and disease: the LIAR hypothesis. Clin Exp Allergy 40:563–575. doi:10.1111/j.1365-2222.2010.03484.x

    PubMed  CAS  Google Scholar 

  40. Clutterbuck EJ, Hirst EM, Sanderson CJ (1989) Human interleukin-5 (IL-5) regulates the production of eosinophils in human bone marrow cultures: comparison and interaction with IL-1, IL-3, IL-6, and GMCSF. Blood 73:1504–1512

    PubMed  CAS  Google Scholar 

  41. Till S, Dickason R, Huston D et al (1997) IL-5 secretion by allergen-stimulated CD4+ T cells in primary culture: relationship to expression of allergic disease. J Allergy Clin Immunol 99:563–569

    PubMed  CAS  Google Scholar 

  42. Simson L, Foster PS (2000) Chemokine and cytokine cooperativity: eosinophil migration in the asthmatic response. Immunol Cell Biol 78:415–422. doi:10.1046/j.1440-1711.2000.00922.x

    PubMed  CAS  Google Scholar 

  43. Cai Y, Zhou J, Webb DC (2012) Estrogen stimulates Th2 cytokine production and regulates the compartmentalisation of eosinophils during allergen challenge in a mouse model of asthma. Int Arch Allergy Immunol 158:252–260. doi:10.1159/000331437

    PubMed  CAS  Google Scholar 

  44. Katz O, Sheiner E (2008) Asthma and pregnancy: a review of two decades. Expert Rev Respir Med 2:97–107. doi:10.1586/17476348.2.1.97

    PubMed  Google Scholar 

  45. Vojtechova P, Martin RM (2009) The association of atopic diseases with breast, prostate, and colorectal cancers: a meta-analysis. Cancer Causes Control 20:1091–1105. doi:10.1007/s10552-009-9334-y

    PubMed  Google Scholar 

  46. Moorman JE, Rudd RA, Johnson CA et al (2007) National surveillance for asthma—United States, 1980–2004. MMWR Surveill Summ 56:1–54

    PubMed  Google Scholar 

  47. Holgate ST (2012) Innate and adaptive immune responses in asthma. Nat Med 18:673–683. doi:10.1038/nm.2731

    PubMed  CAS  Google Scholar 

  48. Oliphant CJ, Barlow JL, McKenzie AN (2011) Insights into the initiation of type 2 immune responses. Immunology 134:378–385. doi:10.1111/j.1365-2567.2011.03499.x

    PubMed  CAS  Google Scholar 

  49. Anthony RM, Rutitzky LI, Urban JF Jr et al (2007) Protective immune mechanisms in helminth infection. Nat Rev Immunol 7:975–987. doi:10.1038/nri2199

    PubMed  CAS  Google Scholar 

  50. Rook GA (2009) Review series on helminths, immune modulation and the hygiene hypothesis: the broader implications of the hygiene hypothesis. Immunology 126:3–11. doi:10.1111/j.1365-2567.2008.03007.x

    PubMed  CAS  Google Scholar 

  51. Lyons TR, Schedin PJ, Borges VF (2009) Pregnancy and breast cancer: when they collide. J Mammary Gland Biol Neoplasia 14:87–98. doi:10.1007/s10911-009-9119-7

    PubMed  Google Scholar 

  52. O’Brien J, Lyons T, Monks J et al (2010) Alternatively activated macrophages and collagen remodeling characterize the postpartum involuting mammary gland across species. Am J Pathol 176:1241–1255. doi:10.2353/ajpath.2010.090735

    PubMed  Google Scholar 

  53. O’Brien J, Schedin P (2009) Macrophages in breast cancer: do involution macrophages account for the poor prognosis of pregnancy-associated breast cancer? J Mammary Gland Biol Neoplasia 14:145–157. doi:10.1007/s10911-009-9118-8

    PubMed  Google Scholar 

  54. Reinhard G, Noll A, Schlebusch H et al (1998) Shifts in the TH1/TH2 balance during human pregnancy correlate with apoptotic changes. Biochem Biophys Res Commun 245:933–938. doi:10.1006/bbrc.1998.8549

    PubMed  CAS  Google Scholar 

  55. Saito S, Tsukaguchi N, Hasegawa T et al (1999) Distribution of Th1, Th2, and Th0 and the Th1/Th2 cell ratios in human peripheral and endometrial T cells. Am J Reprod Immunol 42:240–245

    PubMed  CAS  Google Scholar 

  56. Saito S, Sakai M, Sasaki Y et al (1999) Quantitative analysis of peripheral blood Th0, Th1, Th2 and the Th1:Th2 cell ratio during normal human pregnancy and preeclampsia. Clin Exp Immunol 117:550–555

    PubMed  CAS  Google Scholar 

  57. Sykes L, MacIntyre DA, Yap XJ et al (2012) Changes in the Th1:Th2 cytokine bias in pregnancy and the effects of the anti-inflammatory cyclopentenone prostaglandin 15-deoxy-Delta(12,14)-prostaglandin J2. Mediators Inflamm 2012:416739. doi:10.1155/2012/416739

    PubMed  Google Scholar 

  58. Luppi P (2003) How immune mechanisms are affected by pregnancy. Vaccine 21:3352–3357

    PubMed  CAS  Google Scholar 

  59. Rastogi D, Wang C, Lendor C et al (2006) T-helper type 2 polarization among asthmatics during and following pregnancy. Clin Exp Allergy 36:892–898. doi:10.1111/j.1365-2222.2006.02519.x

    PubMed  CAS  Google Scholar 

  60. Halonen M, Lohman IC, Stern DA et al (2009) Th1/Th2 patterns and balance in cytokine production in the parents and infants of a large birth cohort. J Immunol 182:3285–3293. doi:10.4049/jimmunol.0711996

    PubMed  CAS  Google Scholar 

  61. Groer MW, Davis MW (2006) Cytokines, infections, stress, and dysphoric moods in breastfeeders and formula feeders. J Obstet Gynecol Neonatal Nurs 35:599–607. doi:10.1111/j.1552-6909.2006.00083.x

    PubMed  Google Scholar 

  62. Dimitrov S, Lange T, Fehm HL et al (2004) A regulatory role of prolactin, growth hormone, and corticosteroids for human T-cell production of cytokines. Brain Behav Immun 18:368–374. doi:10.1016/j.bbi.2003.09.014

    PubMed  CAS  Google Scholar 

  63. Meli R, Bentivoglio C, Nuzzo I et al (2003) Th1-Th2 response in hyperprolactinemic mice infected with Salmonella enterica serovar Typhimurium. Eur Cytokine Netw 14:186–191

    PubMed  CAS  Google Scholar 

  64. Weiss JM, Subleski JJ, Wigginton JM et al (2007) Immunotherapy of cancer by IL-12-based cytokine combinations. Expert Opin Biol Ther 7:1705–1721. doi:10.1517/14712598.7.11.1705

    PubMed  CAS  Google Scholar 

  65. Duda DG, Sunamura M, Lozonschi L et al (2000) Direct in vitro evidence and in vivo analysis of the antiangiogenesis effects of interleukin 12. Cancer Res 60:1111–1116

    PubMed  CAS  Google Scholar 

  66. Kozlowski L, Zakrzewska I, Tokajuk P et al (2003) Concentration of interleukin-6 (IL-6), interleukin-8 (IL-8) and interleukin-10 (IL-10) in blood serum of breast cancer patients. Rocz Akad Med Bialymst 48:82–84

    PubMed  CAS  Google Scholar 

  67. Hussein MZ, Al Fikky A, Abdel Bar I et al (2004) Serum IL-6 and IL-12 levels in breast cancer patients. Egypt J Immunol 11:165–170

    PubMed  Google Scholar 

  68. Critchley-Thorne RJ, Simons DL, Yan N et al (2009) Impaired interferon signaling is a common immune defect in human cancer. Proc Natl Acad Sci USA 106:9010–9015. doi:10.1073/pnas.0901329106

    PubMed  CAS  Google Scholar 

  69. Brassard DL, Grace MJ, Bordens RW (2002) Interferon-alpha as an immunotherapeutic protein. J Leukoc Biol 71:565–581

    PubMed  CAS  Google Scholar 

  70. Biron CA (1998) Role of early cytokines, including alpha and beta interferons (IFN-alpha/beta), in innate and adaptive immune responses to viral infections. Semin Immunol 10:383–390. doi:10.1006/smim.1998.0138

    PubMed  CAS  Google Scholar 

  71. Wenner CA, Guler ML, Macatonia SE et al (1996) Roles of IFN-gamma and IFN-alpha in IL-12-induced T helper cell-1 development. J Immunol 156:1442–1447

    PubMed  CAS  Google Scholar 

  72. Eguchi J, Hiroishi K, Ishii S et al (2003) Interferon-alpha and interleukin-12 gene therapy of cancer: interferon-alpha induces tumor-specific immune responses while interleukin-12 stimulates non-specific killing. Cancer Immunol Immunother 52:378–386. doi:10.1007/s00262-002-0367-2

    PubMed  CAS  Google Scholar 

  73. Moschos SJ, Edington HD, Land SR et al (2006) Neoadjuvant treatment of regional stage IIIB melanoma with high-dose interferon alfa-2b induces objective tumor regression in association with modulation of tumor infiltrating host cellular immune responses. J Clin Oncol 24:3164–3171. doi:10.1200/JCO.2005.05.2498

    PubMed  CAS  Google Scholar 

  74. Bleotu C, Chifiriuc MC, Grigore R et al (2012) Investigation of Th1/Th2 cytokine profiles in patients with laryngo-pharyngeal. HPV-positive cancers. Eur Arch Otorhinolaryngol. doi:10.1007/s00405-012-2067-7

    PubMed  Google Scholar 

  75. Ubukata H, Motohashi G, Tabuchi T et al (2010) Evaluations of interferon-gamma/interleukin-4 ratio and neutrophil/lymphocyte ratio as prognostic indicators in gastric cancer patients. J Surg Oncol 102:742–747. doi:10.1002/jso.21725

    PubMed  Google Scholar 

  76. Crane IJ, Forrester JV (2005) Th1 and Th2 lymphocytes in autoimmune disease. Crit Rev Immunol 25:75–102

    PubMed  CAS  Google Scholar 

  77. Ghoreschi K, Thomas P, Breit S et al (2003) Interleukin-4 therapy of psoriasis induces Th2 responses and improves human autoimmune disease. Nat Med 9:40–46. doi:10.1038/nm804

    PubMed  CAS  Google Scholar 

  78. Nguyen TH, Casale TB (2011) Immune modulation for treatment of allergic disease. Immunol Rev 242:258–271. doi:10.1111/j.1600-065X.2011.01034.x

    PubMed  CAS  Google Scholar 

  79. Hamilton DH, Bretscher PA (2008) Different immune correlates associated with tumor progression and regression: implications for prevention and treatment of cancer. Cancer Immunol Immunother 57:1125–1136. doi:10.1007/s00262-007-0442-9

    PubMed  CAS  Google Scholar 

  80. Kennedy R, Celis E (2008) Multiple roles for CD4+ T cells in anti-tumor immune responses. Immunol Rev 222:129–144. doi:10.1111/j.1600-065X.2008.00616.x

    PubMed  CAS  Google Scholar 

  81. DeNardo DG, Barreto JB, Andreu P et al (2009) CD4(+) T cells regulate pulmonary metastasis of mammary carcinomas by enhancing protumor properties of macrophages. Cancer Cell 16:91–102. doi:10.1016/j.ccr.2009.06.018

    PubMed  CAS  Google Scholar 

  82. Goodman WA, Levine AD, Massari JV et al (2009) IL-6 signaling in psoriasis prevents immune suppression by regulatory T cells. J Immunol 183:3170–3176. doi:10.4049/jimmunol.0803721

    PubMed  CAS  Google Scholar 

  83. Oh SH, Park CO, Wu WH et al (2012) Corticotropin-releasing hormone downregulates IL-10 production by adaptive forkhead box protein 3-negative regulatory T cells in patients with atopic dermatitis. J Allergy Clin Immunol 129:151-9.e1-6. doi:10.1016/j.jaci.2011.09.008

    PubMed  Google Scholar 

  84. Chaudhry A, Samstein RM, Treuting P et al (2011) Interleukin-10 signaling in regulatory T cells is required for suppression of Th17 cell-mediated inflammation. Immunity 34:566–578. doi:10.1016/j.immuni.2011.03.018

    PubMed  CAS  Google Scholar 

  85. Pace L, Pioli C, Doria G (2005) IL-4 modulation of CD4+ CD25+ T regulatory cell-mediated suppression. J Immunol 174:7645–7653

    PubMed  CAS  Google Scholar 

  86. Gooch JL, Lee AV, Yee D (1998) Interleukin 4 inhibits growth and induces apoptosis in human breast cancer cells. Cancer Res 58:4199–4205

    PubMed  CAS  Google Scholar 

  87. Toi M, Bicknell R, Harris AL (1992) Inhibition of colon and breast carcinoma cell growth by interleukin-4. Cancer Res 52:275–279

    PubMed  CAS  Google Scholar 

  88. Gooch JL, Christy B, Yee D (2002) STAT6 mediates interleukin-4 growth inhibition in human breast cancer cells. Neoplasia 4:324–331. doi:10.1038/sj.neo.7900248

    PubMed  CAS  Google Scholar 

  89. Nagai S, Toi M (2000) Interleukin-4 and breast cancer. Breast Cancer 7:181–186

    PubMed  CAS  Google Scholar 

  90. Hochrein H, O’Keeffe M, Luft T et al (2000) Interleukin (IL)-4 is a major regulatory cytokine governing bioactive IL-12 production by mouse and human dendritic cells. J Exp Med 192:823–833

    PubMed  CAS  Google Scholar 

  91. Ebner S, Ratzinger G, Krosbacher B et al (2001) Production of IL-12 by human monocyte-derived dendritic cells is optimal when the stimulus is given at the onset of maturation, and is further enhanced by IL-4. J Immunol 166:633–641

    PubMed  CAS  Google Scholar 

  92. Bream JH, Curiel RE, Yu CR et al (2003) IL-4 synergistically enhances both IL-2- and IL-12-induced IFN-gamma expression in murine NK cells. Blood 102:207–214. doi:10.1182/blood-2002-08-2602

    PubMed  CAS  Google Scholar 

  93. Eguchi J, Hiroishi K, Ishii S et al (2005) Interleukin-4 gene transduced tumor cells promote a potent tumor-specific Th1-type response in cooperation with interferon-alpha transduction. Gene Ther 12:733–741. doi:10.1038/sj.gt.3302401

    PubMed  CAS  Google Scholar 

  94. Chavey C, Bibeau F, Gourgou-Bourgade S et al (2007) Oestrogen receptor negative breast cancers exhibit high cytokine content. Breast Cancer Res 9:R15. doi:10.1186/bcr1648

    PubMed  Google Scholar 

  95. Green AR, Green VL, White MC et al (1997) Expression of cytokine messenger RNA in normal and neoplastic human breast tissue: identification of interleukin-8 as a potential regulatory factor in breast tumours. Int J Cancer 72:937–941

    PubMed  CAS  Google Scholar 

  96. Venetsanakos E, Beckman I, Bradley J et al (1997) High incidence of interleukin 10 mRNA but not interleukin 2 mRNA detected in human breast tumours. Br J Cancer 75:1826–1830

    PubMed  CAS  Google Scholar 

  97. Freund A, Chauveau C, Brouillet JP et al (2003) IL-8 expression and its possible relationship with estrogen-receptor-negative status of breast cancer cells. Oncogene 22:256–265

    PubMed  CAS  Google Scholar 

  98. Lin Y, Huang R, Chen L et al (2004) Identification of interleukin-8 as estrogen receptor-regulated factor involved in breast cancer invasion and angiogenesis by protein arrays. Int J Cancer 109:507–515. doi:10.1002/ijc.11724

    PubMed  CAS  Google Scholar 

  99. Soria G, Ofri-Shahak M, Haas I et al (2011) Inflammatory mediators in breast cancer: coordinated expression of TNFalpha & IL-1beta with CCL2 & CCL5 and effects on epithelial-to-mesenchymal transition. BMC Cancer 11:130. doi:10.1186/1471-2407-11-130

    PubMed  CAS  Google Scholar 

  100. Pantschenko AG, Pushkar I, Anderson KH et al (2003) The interleukin-1 family of cytokines and receptors in human breast cancer: implications for tumor progression. Int J Oncol 23:269–284

    PubMed  CAS  Google Scholar 

  101. Singer CF, Hudelist G, Gschwantler-Kaulich D et al (2006) Interleukin-1alpha protein secretion in breast cancer is associated with poor differentiation and estrogen receptor alpha negativity. Int J Gynecol Cancer 16(Suppl 2):556–559. doi:10.1111/j.1525-1438.2006.00695.x

    PubMed  Google Scholar 

  102. Bochner BS, Gleich GJ (2010) What targeting eosinophils has taught us about their role in diseases. J Allergy Clin Immunol 126:16–25. doi:10.1016/j.jaci.2010.02.026 quiz 26–7

    PubMed  CAS  Google Scholar 

  103. Molfino NA, Gossage D, Kolbeck R et al (2012) Molecular and clinical rationale for therapeutic targeting of interleukin-5 and its receptor. Clin Exp Allergy 42:712–737. doi:10.1111/j.1365-2222.2011.03854.x

    PubMed  CAS  Google Scholar 

  104. Kolbeck R, Kozhich A, Koike M et al (2010) MEDI-563, a humanized anti-IL-5 receptor alpha mAb with enhanced antibody-dependent cell-mediated cytotoxicity function. J Allergy Clin Immunol 125(1344–1353):e2. doi:10.1016/j.jaci.2010.04.004

    Google Scholar 

  105. Busse WW, Katial R, Gossage D et al (2010) Safety profile, pharmacokinetics, and biologic activity of MEDI-563, an anti-IL-5 receptor alpha antibody, in a phase I study of subjects with mild asthma. J Allergy Clin Immunol 125(1237–1244):e2. doi:10.1016/j.jaci.2010.04.005

    PubMed  Google Scholar 

  106. Zamarron BF, Chen W (2011) Dual roles of immune cells and their factors in cancer development and progression. Int J Biol Sci 7:651–658

    PubMed  CAS  Google Scholar 

  107. Biswas SK, Mantovani A (2010) Macrophage plasticity and interaction with lymphocyte subsets: cancer as a paradigm. Nat Immunol 11:889–896. doi:10.1038/ni.1937

    PubMed  CAS  Google Scholar 

Download references

Acknowledgments

Funding for this research was provided by the Breast Cancer Research Foundation (PI: Christine Ambrosone). Dr. Song Yao was the recipient of a fellowship from the Department of Defense Breast Cancer Research Program (W81XWH-08-1-0223). Funding bodies for this study did not play any role in the collection, analysis, interpretation of data, in the writing of the manuscript, and in the decision to submit the manuscript for publication. The Roswell Park Cancer Institute Databank and Biorepository, the Clinical Data Network and Flow & Image Cytometry Department are CCSG Shared Resources (NIH P30 CA016056-27).

Conflicts of interest

The authors have no potential conflicts of interest to disclose.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chi-Chen Hong.

Additional information

Chi-Chen Hong and Song Yao contributed equally to this study and should be considered as first co-authors.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Table 1

Descriptive statistics of 27 cytokines and all ratios examined in 530 women with invasive breast cancer. Specific cutpoints used to define low, medium, and high circulating cytokine levels are provided along with detectable assay limits, interplate coefficient of variations for each cytokine measured, and proportion of samples below the detectable limit. Effect of sample storage and season of blood draw on cytokine levels are also shown. (PDF 133 kb)

Table 2

Associations between circulating immune markers and risk of ER breast cancer among women with invasive breast cancer (PDF 166 kb)

Table 3

Associations between circulating immune markers and risk of triple negative versus LumA breast cancer (PDF 599 kb)

Table 4

Spearman partial correlations between cytokines and/or their ratios significantly associated with ER or TNBCs (PDF 56 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hong, CC., Yao, S., McCann, S.E. et al. Pretreatment levels of circulating Th1 and Th2 cytokines, and their ratios, are associated with ER-negative and triple negative breast cancers. Breast Cancer Res Treat 139, 477–488 (2013). https://doi.org/10.1007/s10549-013-2549-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10549-013-2549-3

Keywords

Navigation