Skip to main content

Advertisement

Log in

Race and triple negative threats to breast cancer survival: a population-based study in Atlanta, GA

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

Abstract

Background Breast cancers with a triple negative tumor (TNT) subtype (as defined by lacking protein expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2)) preclude the use of available targeted therapies and may contribute to poor outcome and to the historically poorest survival observed among African–American (AA) women. This study examines association of the ER/PR/HER2 subtypes with race and breast cancer survival. Methods Breast tumors from a population-based cohort of 116 AA and 360 white Atlanta women aged 20–54, diagnosed from 1990 to 1992 were centrally reviewed and tested by immunohistochemistry. Multivariate survival analyses within subtypes (TNT, ER−PR−HER2+, ER+/PR+HER2+, ER+/PR+HER2−) were conducted using weighted Cox regression and included socio-demographic, prognostic, and treatment factors. Results TNTs were more prevalent among young women and particularly among AA women (Odds Ratio [OR] = 1.9, 95% Confidence Interval [CI] 1.2–2.9), adjusting for age, stage, grade, and poverty index. Overall mortality was higher for AA women (Hazard Ratio [HR] = 1.9, 95% CI, 1.5–2.5) and differed by subtypes (P < 0.001). Within the TNT subtype, racial differences in survival persisted, after additional adjustment for treatment and comorbidities (HR = 2.0, 95% CI 1.0–3.7). TNTs were uniquely associated with high expression of p16, p53, and Cyclin E; and low Bcl-2 and Cyclin D1 expression. Conclusions The high prevalence of TNTs among younger women and particularly younger AA women, along with unique protein expression patterns and poorer survival, suggests varying gene–environment etiologies with respect to age and race/ethnicity and a need for effective therapies.

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

References

  1. Ries LAG, Melbert D, Krapcho M et al (2006) SEER cancer statistics review, 1975–2004. National Cancer Institute, Bethesda, MD

    Google Scholar 

  2. Amend K, Hicks D, Ambrosone C (2006) Breast cancer in African–American women: differences in tumor biology from European–American women. Cancer Res 66(17):8327–8330

    Article  PubMed  CAS  Google Scholar 

  3. Chlebowski RT, Chen Z, Anderson GL et al (2006) Ethnicity and breast cancer: factors influencing differences in incidence and outcome. J Natl Cancer Inst 97(6):439–448

    Google Scholar 

  4. Eley JW, Hill HA, Chen VW et al (1994) Racial differences in survival from breast cancer. Results of the National Cancer Institute Black/White Cancer Survival Study. JAMA 272(12):947–954

    Article  PubMed  CAS  Google Scholar 

  5. Jatoi I, Chen BE, Anderson WF, Rosenberg PS (2007) Breast cancer mortality trends in the United States according to estrogen receptor status and age at diagnosis. J Clin Oncol 25(13):1683–1690

    Article  PubMed  Google Scholar 

  6. Newman LA, Griffith KA, Jatoi I et al (2006) Meta-analysis of survival in African American and white American patients with breast cancer: ethnicity compared with socioeconomic status. J Clin Oncol 24(9):1342–1349

    Article  PubMed  Google Scholar 

  7. Shavers VL, Harlan LC, Stevens JL (2003) Racial/ethnic variation in clinical presentation, treatment, and survival among breast cancer patients under age 35. Cancer 97(1):134–147

    Article  PubMed  Google Scholar 

  8. Wojcik BE, Spinks MK, Optenberg SA (1998) Breast carcinoma survival analysis for African American and white women in an equal-access health care system. Cancer 82(7):1310–1318

    Article  PubMed  CAS  Google Scholar 

  9. Dayal HH, Power RN, Chiu C (1982) Race and socio-economic status in survival from Breast cancer. J Chronic Dis 35(8):675–683

    Article  PubMed  CAS  Google Scholar 

  10. Abd El-Rehim DM, Ball G, Pinder SE et al (2005) High-throughput protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses. Int J Cancer 116(3):340–350

    Article  PubMed  CAS  Google Scholar 

  11. Abd El-Rehim DM, Pinder SE, Paish CE et al (2004) Expression of luminal and basal cytokeratins in human breast carcinoma. J Pathol 203(2):661–671

    Article  PubMed  Google Scholar 

  12. Sorlie T, Perou CM, Tibshirani R et al (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA 98(19):10869–10874

    Article  PubMed  CAS  Google Scholar 

  13. Sorlie T, Tibshirani R, Parker J et al (2003) Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci USA 100(14):8418–8423

    Article  PubMed  CAS  Google Scholar 

  14. Sorlie T, Wang Y, Xiao C et al (2006) Distinct molecular mechanisms underlying clinically relevant subtypes of breast cancer: gene expression analyses across three different platforms. BMC Genomics 7:127

    Article  PubMed  CAS  Google Scholar 

  15. van‘t Veer LJ, Dai H, van de Vijver MJ et al (2002) Gene expression profiling predicts clinical outcome of breast cancer[comment]. Nature 415(6871):530–536

    Article  Google Scholar 

  16. Sotiriou C, Neo SY, McShane LM et al (2003) Breast cancer classification and prognosis based on gene expression profiles from a population-based study. Proc Natl Acad Sci USA 100(18):10393–10398

    Article  PubMed  CAS  Google Scholar 

  17. Birnbaum D, Bertucci F, Ginestier C et al (2004) Basal and luminal breast cancers: basic or luminous? (review). Int J Oncol 25(2):249–258

    PubMed  CAS  Google Scholar 

  18. Carey LA, Perou CM, Livasy CA et al (2006) Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA 295(21):2492–2502

    Article  PubMed  CAS  Google Scholar 

  19. Haffty BG, Yang Q, Reiss M et al (2006) Locoregional relapse and distant metastasis in conservatively managed triple negative early-stage breast cancer. J Clin Oncol 24(36):5652–5657

    Article  PubMed  Google Scholar 

  20. Perou CM, Sorlie T, Eisen MB et al (2000) Molecular portraits of human breast tumours. Nature 406(6797):747–752

    Article  PubMed  CAS  Google Scholar 

  21. Sotiriou C, Wirapati P, Loi S et al (2006) Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst 98(4):262–272

    Article  PubMed  CAS  Google Scholar 

  22. Yang XR, Sherman ME, Rimm DL et al (2007) Differences in risk factors for breast cancer molecular subtypes in a population-based study. CEBP 16(3):439–443

    CAS  Google Scholar 

  23. Cleator S, Heller W, Coombes RC (2007) Triple-negative breast cancer: therapeutic options. Lancet Oncol 8(3):235–244

    Article  PubMed  Google Scholar 

  24. Rakha EA, El-Rehim DA, Paish C et al (2006) Basal phenotype identifies a poor prognostic subgroup of breast cancer of clinical importance. Eur J Cancer 42(18):3149–3156

    Article  PubMed  CAS  Google Scholar 

  25. Nielsen TO, Hsu FD, Jensen K et al (2004) Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma. Clin Cancer Res 10(16):5367–5374

    Article  PubMed  CAS  Google Scholar 

  26. Anderson WF, Matsuno R (2006) Breast cancer heterogeneity: a mixture of at least two main types?[comment]. J Natl Cancer Inst 98(14):948–951

    Article  PubMed  CAS  Google Scholar 

  27. Rakha EA, El-Sayed ME, Green AR et al (2007) Prognostic markers in triple-negative breast cancer. Cancer 109(1):25–32

    Article  PubMed  CAS  Google Scholar 

  28. Bauer KR, Brown M, Cress RD et al (2007) Descriptive analysis of estrogen receptor (ER)-negative, progesterone receptor (PR)-negative, and HER2–negative invasive breast cancer, the so-called triple-negative phenotype: A population-based study from the California cancer Registry. Cancer 109(9):1721–1728

    Article  PubMed  Google Scholar 

  29. Morris GJ, Naidu S, Topham AK et al (2007) Differences in breast carcinoma characteristics in newly diagnosed African–American and Caucasian patients: a single-institution compilation compared with the National Cancer Institute’s Surveillance, Epidemiology, and End Results database. Cancer 110(4):876–884

    Article  PubMed  Google Scholar 

  30. Stark A, Kapke A, Schultz D (2007) Advanced stages and poorly differentiated grade are associated with an increased risk of HER2/neu positive breast carcinoma only in White women: findings from a prospective cohort study of African–American and White-American women. Breast Cancer Res Treat [epub ahead of print]

  31. Porter PL, Lund MJ, Lin MG et al (2004) Racial differences in expression of cell cycle regulatory proteins in breast cancer: Study of young African American and white women in Atlanta. Cancer 100(12):2533–2542

    Article  PubMed  Google Scholar 

  32. Brinton LA, Daling JR, Liff JM et al (1995) Oral contraceptives and breast cancer risk among younger women. J Natl Cancer Inst 87(11):827–835

    Article  PubMed  CAS  Google Scholar 

  33. Gwyn K, Bondy ML, Cohen DS et al (2004) Racial differences in diagnosis, treatment, and clinical delays in a population-based study of patients with newly diagnosed breast carcinoma. Cancer 100(8):1595–1604

    Article  PubMed  Google Scholar 

  34. Department of Health, Human Services. (1991) HHS poverty guidelines. Fed Regist 47:15417–15418

    Google Scholar 

  35. SEER Summary Staging Manual (2000) Codes and coding instructions. National Cancer Institute, Bethesda, MD

    Google Scholar 

  36. Elston CW, Ellis IO (1991) Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 19(5):403–410

    Article  PubMed  CAS  Google Scholar 

  37. Tavassoli FA, Deville P, Aas T (2003) Pathology and genetics of tumours of the breast and female genital organs. Oxford University Press, Oxford

    Google Scholar 

  38. Cattoretti G, Becker M, Key G et al (1992) Monoclonal antibodies against recombinant parts of the Ki-67 antigen (MIB 1 and MIB 3) detect proliferating cells in microwave-processed formalin-fixed paraffin sections. J Pathol 168(4):357–363

    Article  PubMed  CAS  Google Scholar 

  39. Gerdes J, Becker MH, Key G et al (1992) Immunohistological detection of tumour growth fraction (Ki-67 antigen) in formalin-fixed and routinely processed tissues.[see comment]. J Pathol 168(1):85–86

    Article  PubMed  CAS  Google Scholar 

  40. Hsu SM, Raine L, Fanger H (1981) Use of avidin-biotin-peroxidase complex (ABC) in immunoperoxidase techniques: a comparison between ABC and unlabeled antibody (PAP) procedures[see comment]. J Histochem Cytochem 29(4):577–580

    PubMed  CAS  Google Scholar 

  41. Hsu SM, Soban E (1982) Color modification of diaminobenzidine (DAB) precipitation by metallic ions and its application for double immunohistochemistry. J Histochem Cytochem 30(10):1079–1082

    PubMed  CAS  Google Scholar 

  42. Taylor CR, Shi SR, Chaiwun B et al (1994) Strategies for improving the immunohistochemical staining of various intranuclear prognostic markers in formalin- paraffin sections: androgen receptor, estrogen receptor, progesterone receptor, p53 protein, proliferating cell nuclear antigen, and Ki-67 antigen revealed by antigen retrieval techniques[see comment]. Human Pathol 25(3):263–270

    Article  CAS  Google Scholar 

  43. Andersen J, Poulsen HS (1989) Immunohistochemical estrogen receptor determination in paraffin-embedded tissue. Prediction of response to hormonal treatment in advanced breast cancer. Cancer 64(9):1901–1908

    Article  PubMed  CAS  Google Scholar 

  44. Parl FF, Posey YF (1988) Discrepancies of the biochemical and immunohistochemical estrogen receptor assays in breast cancer. Human Pathol 19(8):960–966

    Article  CAS  Google Scholar 

  45. Shousha S, Stamp T, James K et al (1989) Immunohistochemical study of oestrogen receptors in breast carcinomas that are biochemically receptor negative. J Clin Pathol 43:239–242

    Google Scholar 

  46. Giri D, Goepel J, Rogers K (1988) Immunohistological demonstration of progesterone receptor in breast carninomas: correlation with radioligand binding assays and oestrogen receptor negative. J Clin Pathol 41:444–447

    Google Scholar 

  47. Press MF, Hung G, Godolphin W et al (1994) Sensitivity of HER-2/neu antibodies in archival tissue samples: potential source of error in immunohistochemical studies of oncogene expression. Cancer Res 54(10):2771–2777

    PubMed  CAS  Google Scholar 

  48. Bartek J, Bartkova J, Vojtesek B et al (1990) Patterns of expression of the p53 tumour suppressor in human breast tissues and tumours in situ and in vitro. Int J Cancer 46(5):839–844

    Article  PubMed  CAS  Google Scholar 

  49. Davidoff AM, Herndon JE 2nd, Glover NS et al (1991) Relation between p53 overexpression and established prognostic factors in breast cancer. Surgery 110(2):259–264

    PubMed  CAS  Google Scholar 

  50. Purdie CA, O’Grady J, Piris J et al (1991) p53 expression in colorectal tumors. Am J Pathol 138(4):807–813

    PubMed  CAS  Google Scholar 

  51. Ohtsubo M, Theodoras AM, Schumacher J et al (1995) Human cyclin E, a nuclear protein essential for the G1-to-S phase transition. Mol Cell Biol 15(5):2612–2624

    PubMed  CAS  Google Scholar 

  52. Porter PL, Malone KE, Heagerty PJ et al (1997) Expression of cell-cycle regulators p27Kip1 and cyclin E, alone and in combination, correlate with survival in young breast cancer patients. Nat Med 3(2):222–225

    Article  PubMed  CAS  Google Scholar 

  53. Motokura T, Bloom T, Kim HG et al (1991) A novel cyclin encoded by a bcl1-linked candidate oncogene [see comment]. Nature 350(6318):512–515

    Article  PubMed  CAS  Google Scholar 

  54. Simpson JF, Quan DE, O’Malley F et al (1997) Amplification of CCND1 and expression of its protein product, cyclin D1, in ductal carcinoma in situ of the breast. Am J Pathol 151(1):161–168

    PubMed  CAS  Google Scholar 

  55. Geradts J, Hruban RH, Schutte M et al (2000) Immunohistochemical p16INK4a analysis of archival tumors with deletion, hypermethylation, or mutation of the CDKN2/MTS1 gene. A comparison of four commercial antibodies. Appl Immunohistochem Mol Morphol 8(1):71–79

    Article  PubMed  CAS  Google Scholar 

  56. Barbareschi M, Caffo O, Doglioni C et al (1996) p21WAF1 immunohistochemical expression in breast carcinoma: correlations with clinicopathological data, oestrogen receptor status, MIB1 expression, p53 gene and protein alterations and relapse-free survival. Br J Cancer 74(2):208–215

    Google Scholar 

  57. Cote RJ, Shi Y, Groshen S et al (1998) Association of p27Kip1 levels with recurrence and survival in patients with stage C prostate carcinoma. J Natl Cancer Inst 90(12):916–920

    Article  PubMed  CAS  Google Scholar 

  58. Fusaro G, Wang S, Chellappan S (2002) Differential regulation of Rb family proteins and prohibitin during camptothecin-induced apoptosis. Oncogene 21(29):4539–4548

    Article  PubMed  CAS  Google Scholar 

  59. Saegusa M, Hashimura M, Kuwata T et al (2006) Induction of p16INK4A mediated by beta-catenin in a TCF4-independent manner: implications for alterations in p16INK4A and pRb expression during trans-differentiation of endometrial carcinoma cells. Int J Cancer 119(10):2294–2303

    Article  PubMed  CAS  Google Scholar 

  60. Zutter M, Hockenbery D, Silverman GA et al (1991) Immunolocalization of the Bcl-2 protein within hematopoietic neoplasms. Blood 78(4):1062–1068

    PubMed  CAS  Google Scholar 

  61. Negoescu A, Lorimier P, Labat-Moleur F et al (1996) In situ apoptotic cell labeling by the TUNEL method: improvement and evaluation on cell preparations. J Histochem Cytochem 44(9):959–968

    PubMed  CAS  Google Scholar 

  62. Birner P, Oberhuber G, Stani J et al (2001) Evaluation of the United States Food and Drug Administration-approved scoring and test system of HER-2 protein expression in breast cancer. Clin Cancer Res 7(6):1669–1975

    PubMed  CAS  Google Scholar 

  63. Sorlie T. (2004) Molecular portraits of breast cancer: tumour subtypes as distinct disease entities. Euro J Cancer 40(18):2667–2675

    Article  CAS  Google Scholar 

  64. Kleinbaum DG (1996) Survival analysis – a self-learning text. Springer-Verlag, New York

    Google Scholar 

  65. Fregene A, Newman LA (2005) Breast cancer in sub-Saharan Africa: how does it relate to breast cancer in African–American women? Cancer 103(8):1540–1550

    Article  PubMed  Google Scholar 

  66. Olopade OI, Ikpatt FO, Dignam JJ et al (2004) “Intrinsic Gene Expression” subtypes correlated with grade and morphometric parameters reveal a high proportion of aggressive basal-like tumors among black women of African ancestry. J Clin Oncol (Meeting Abstracts) 22(14 suppl):9509

    Google Scholar 

  67. Millikan RC, Newman B, Tse CK et al (2007) Epidemiology of basal-like breast cancer. Breast Cancer Res Treat [epub ahead of print]

  68. Yehiely F, Moyano JV, Evans JR et al (2006) Deconstructing the molecular portrait of basal-like breast cancer. Trend Mol Med 12(11):537–5544

    Article  CAS  Google Scholar 

  69. Foulkes WD, Brunet JS, Stefansson IM et al (2004) The prognostic implication of the basal-like (cyclin E high/p27 low/p53+/glomeruloid-microvascular-proliferation+) phenotype of BRCA1-related breast cancer. Cancer Res 64(3):830–835

    Article  PubMed  CAS  Google Scholar 

  70. Tan DS, Marchio C, Jones RL et al (2006) Triple negative breast cancer: molecular profiling and prognostic impact in adjuvant anthracycline-treated patients. Breast Cancer Res Treat [epub ahead of print]

  71. Romond EH, Perez EA, Bryant J et al (2005) Trastuzumab plus adjuvant chemotherapy for operable HER2-positive breast cancer.[see comment]. N Engl J Med 353(16):1673–1684

    Article  PubMed  CAS  Google Scholar 

  72. Slamon DJ, Romond EH, Perez EA et al (2006) Advances in adjuvant therapy for breast cancer. Clin Adv Hematol Oncol 4(suppl 1):4–9 [discussion suppl 10]

    Google Scholar 

  73. Spitz MR, Wu X, Mills G (2005) Integrative epidemiology: from risk assessment to outcome prediction. J Clin Oncol 23(2):267–275

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Supported in part by awards RO1CA64292 (R.J.C., E.W.F., J.W.E., M.J.L.), RO1CA71735 (P.L.P.), the Avon Foundation (M.J.L., P.L.P.), the Glenn Foundation (M.J.L.), the Sindab Endowment (M.J.L., R.M.O.) and the Oak Ridge Institute for Science & Education Research Participation Program/CDC (M.J.L., K.F.T). The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the Centers for Disease Control and Prevention.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mary Jo Lund.

Additional information

This manuscript represents original work and has not been previously published in this form. This work was presented in part at the American Association for Cancer Research Annual Meetings, April 2006, Washington DC, April 2007, Los Angeles, CA.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lund, M.J., Trivers, K.F., Porter, P.L. et al. Race and triple negative threats to breast cancer survival: a population-based study in Atlanta, GA. Breast Cancer Res Treat 113, 357–370 (2009). https://doi.org/10.1007/s10549-008-9926-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10549-008-9926-3

Keywords

Navigation