Skip to main content

Advertisement

Log in

Race/ethnicity, genetic ancestry, and breast cancer-related lymphedema in the Pathways Study

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

Abstract

Breast cancer-related lymphedema (BCRL) is a serious chronic condition after breast cancer (BC) surgery and treatment. It is unclear if BCRL risk varies by race/ethnicity. In a multiethnic prospective cohort study of 2953 BC patients, we examined the association of self-reported BCRL status with self-reported race/ethnicity and estimated genetic ancestry. Hazard ratios (HR) and 95 % confidence intervals (CI) were calculated by multivariable Cox proportional hazards models, with follow-up starting 6 months post-BC diagnosis. Estimates were further stratified by body mass index (BMI). By 48 months of follow-up, 342 (11.6 %) women reported having BCRL. Younger age at BC diagnosis, higher BMI at baseline, and lower physical activity were associated with greater BCRL risk. African American (AA) women had a 2-fold increased risk of BCRL compared with White women (HR = 2.04; 95 % CI 1.35–3.08). African genetic ancestry was also associated with an increased risk (HR = 2.50; 95 % CI 1.43, 4.36). Both risks were attenuated but remained elevated after adjusting for known risk factors and became more pronounced when restricted to the nonobese women (adjusted HR = 2.31 for AA and HR = 3.70 for African ancestry, both p < 0.05). There was also evidence of increased BCRL risk with Hispanic ethnicity in the nonobese women. Nonobese AA women had a higher risk of BCRL than White women, which cannot be fully explained by known risk factors. This is the first large-scale, prospective study demonstrating differences in BCRL risk according to race/ethnicity as assessed by both self-report and genetic ancestry data, with a potential ancestry–obesity interaction.

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.

Fig. 1

Similar content being viewed by others

Abbreviations

AA:

African American

AIM:

Ancestry informative marker

AJCC:

American Joint Committee on Cancer

BC:

Breast cancer

BCRL:

Breast cancer-related lymphedema

BMI:

Body mass index

CI:

Confidence interval

HR:

Hazards ratio

KPNC:

Kaiser Permanente Northern California

MET:

Metabolic equivalent

RPCI:

Roswell Park Cancer Institute

SD:

Standard deviation

SEER:

Surveillance, epidemiology, and end results program

SES:

Socioeconomic status

SLNB:

Sentinel lymph node biopsy

WHR:

Waist-to-hip ratio

References

  1. Erickson VS, Pearson ML, Ganz PA, Adams J, Kahn KL (2001) Arm edema in breast cancer patients. J Natl Cancer Inst 93(2):96–111

    Article  CAS  PubMed  Google Scholar 

  2. Lawenda BD, Mondry TE, Johnstone PA (2009) Lymphedema: a primer on the identification and management of a chronic condition in oncologic treatment. CA Cancer J Clin 59(1):8–24

    Article  PubMed  Google Scholar 

  3. Pusic AL, Cemal Y, Albornoz C, Klassen A, Cano S, Sulimanoff I, Hernandez M, Massey M, Cordeiro P, Morrow M, Mehrara B (2013) Quality of life among breast cancer patients with lymphedema: a systematic review of patient-reported outcome instruments and outcomes. J Cancer Surviv 7(1):83–92

    Article  PubMed  Google Scholar 

  4. DiSipio T, Rye S, Newman B, Hayes S (2013) Incidence of unilateral arm lymphoedema after breast cancer: a systematic review and meta-analysis. Lancet Oncol 14(6):500–515

    Article  PubMed  Google Scholar 

  5. Paskett ED, Dean JA, Oliveri JM, Harrop JP (2012) Cancer-related lymphedema risk factors, diagnosis, treatment, and impact: a review. J Clin Oncol 30(30):3726–3733

    Article  PubMed  Google Scholar 

  6. Kwan ML, Darbinian J, Schmitz KH, Citron R, Partee P, Kutner SE, Kushi LH (2010) Risk factors for lymphedema in a prospective breast cancer survivorship study: the Pathways Study. Arch Surg 145(11):1055–1063

    Article  PubMed  PubMed Central  Google Scholar 

  7. Meeske KA, Sullivan-Halley J, Smith AW, McTiernan A, Baumgartner KB, Harlan LC, Bernstein L (2009) Risk factors for arm lymphedema following breast cancer diagnosis in Black women and White women. Breast Cancer Res Treat 113(2):383–391

    Article  PubMed  Google Scholar 

  8. Togawa K, Ma H, Sullivan-Halley J, Neuhouser ML, Imayama I, Baumgartner KB, Smith AW, Alfano CM, McTiernan A, Ballard-Barbash R, Bernstein L (2014) Risk factors for self-reported arm lymphedema among female breast cancer survivors: a prospective cohort study. Breast Cancer Res 16(4):414

    Article  PubMed  PubMed Central  Google Scholar 

  9. Kwan ML, Ambrosone CB, Lee MM, Barlow J, Krathwohl SE, Ergas IJ, Ashley CH, Bittner JR, Darbinian J, Stronach K, Caan BJ, Davis W, Kutner SE, Quesenberry CP, Somkin CP, Sternfeld B, Wiencke JK, Zheng S, Kushi LH (2008) The Pathways Study: a prospective study of breast cancer survivorship within Kaiser Permanente Northern California. Cancer Causes Control 19(10):1065–1076

    Article  PubMed  PubMed Central  Google Scholar 

  10. Staten LK, Taren DL, Howell WH, Tobar M, Poehlman ET, Hill A, Reid PM, Ritenbaugh C (2001) Validation of the Arizona activity frequency questionnaire using doubly labeled water. Med Sci Sports Exerc 33(11):1959–1967

    Article  CAS  PubMed  Google Scholar 

  11. Sternfeld B, Weltzien E, Quesenberry CP Jr, Castillo AL, Kwan M, Slattery ML, Caan BJ (2009) Physical activity and risk of recurrence and mortality in breast cancer survivors: findings from the LACE study. Cancer Epidemiol Biomark Prev 18(1):87–95

    Article  Google Scholar 

  12. Oehrli MD, Quesenberry CP (2013) Annual Report on Trends, Incidence, and Outcomes, 2013, Kaiser Permanente, Northern California Cancer Registry

  13. Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Diseases 40(5):373–383

    Article  CAS  Google Scholar 

  14. Kosoy R, Nassir R, Tian C, White PA, Butler LM, Silva G, Kittles R, Alarcon-Riquelme ME, Gregersen PK, Belmont JW, De La Vega FM, Seldin MF (2009) Ancestry informative marker sets for determining continental origin and admixture proportions in common populations in America. Hum Mutat 30(1):69–78

    Article  PubMed  PubMed Central  Google Scholar 

  15. Alexander DH, Novembre J, Lange K (2009) Fast model-based estimation of ancestry in unrelated individuals. Genome Res 19(9):1655–1664

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Patterson N, Price AL, Reich D (2006) Population structure and eigenanalysis. PLoS Genet 2(12):e190

    Article  PubMed  PubMed Central  Google Scholar 

  17. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D (2006) Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet 38(8):904–909

    Article  CAS  PubMed  Google Scholar 

  18. Yen TW, Laud PW, Sparapani RA, Li J, Nattinger AB (2014) An algorithm to identify the development of lymphedema after breast cancer treatment. J Cancer Surviv 9:161–171

    Article  Google Scholar 

  19. Flegal KM, Shepherd JA, Looker AC, Graubard BI, Borrud LG, Ogden CL, Harris TB, Everhart JE, Schenker N (2009) Comparisons of percentage body fat, body mass index, waist circumference, and waist-stature ratio in adults. Am J Clin Nutr 89(2):500–508

    Article  CAS  PubMed  Google Scholar 

  20. Katzmarzyk PT, Bray GA, Greenway FL, Johnson WD, Newton RL Jr, Ravussin E, Ryan DH, Smith SR, Bouchard C (2010) Racial differences in abdominal depot-specific adiposity in white and African American adults. Am J Clin Nutr 91(1):7–15

    Article  CAS  PubMed  Google Scholar 

  21. Morimoto Y, Conroy SM, Ollberding NJ, Kim Y, Lim U, Cooney RV, Franke AA, Wilkens LR, Hernandez BY, Goodman MT, Henderson BE, Kolonel LN, Le Marchand L, Maskarinec G (2014) Ethnic differences in serum adipokine and C-reactive protein levels: the multiethnic cohort. Int J Obes 38(11):1416–1422

    Article  CAS  Google Scholar 

  22. Tammela T, Alitalo K (2010) Lymphangiogenesis: molecular mechanisms and future promise. Cell 140(4):460–476

    Article  CAS  Google Scholar 

  23. Ahmed RL, Schmitz KH, Prizment AE, Folsom AR (2011) Risk factors for lymphedema in breast cancer survivors, the Iowa Women’s Health Study. Breast Cancer Res Treat 130(3):981–991

    Article  PubMed  PubMed Central  Google Scholar 

  24. Dominick SA, Madlensky L, Natarajan L, Pierce JP (2013) Risk factors associated with breast cancer-related lymphedema in the WHEL Study. J Cancer Surviv 7(1):115–123

    Article  PubMed  Google Scholar 

  25. Jammallo LS, Miller CL, Singer M, Horick NK, Skolny MN, Specht MC, O’Toole J, Taghian AG (2013) Impact of body mass index and weight fluctuation on lymphedema risk in patients treated for breast cancer. Breast Cancer Res Treat 142(1):59–67

    Article  PubMed  Google Scholar 

  26. Haiman CA, Stram DO, Wilkens LR, Pike MC, Kolonel LN, Henderson BE, Le Marchand L (2006) Ethnic and racial differences in the smoking-related risk of lung cancer. N Engl J Med 354(4):333–342

    Article  CAS  PubMed  Google Scholar 

  27. Miller CL, Specht MC, Skolny MN, Horick N, Jammallo LS, O’Toole J, Shenouda MN, Sadek BT, Smith BL, Taghian AG (2014) Risk of lymphedema after mastectomy: potential benefit of applying ACOSOG Z0011 protocol to mastectomy patients. Breast Cancer Res Treat 144(1):71–77

    Article  PubMed  PubMed Central  Google Scholar 

  28. Tsai RJ, Dennis LK, Lynch CF, Snetselaar LG, Zamba GK, Scott-Conner C (2009) The risk of developing arm lymphedema among breast cancer survivors: a meta-analysis of treatment factors. Ann Surg Oncol 16(7):1959–1972

    Article  PubMed  Google Scholar 

  29. Lyman GH, Giuliano AE, Somerfield MR, Benson AB 3rd, Bodurka DC, Burstein HJ, Cochran AJ, Cody HS 3rd, Edge SB, Galper S, Hayman JA, Kim TY, Perkins CL, Podoloff DA, Sivasubramaniam VH, Turner RR, Wahl R, Weaver DL, Wolff AC, Winer EP (2005) American Society of Clinical Oncology guideline recommendations for sentinel lymph node biopsy in early-stage breast cancer. J Clin Oncol 23(30):7703–7720

    Article  PubMed  Google Scholar 

  30. Lyman GH, Temin S, Edge SB, Newman LA, Turner RR, Weaver DL, Benson AB 3rd, Bosserman LD, Burstein HJ, Cody H 3rd, Hayman J, Perkins CL, Podoloff DA, Giuliano AE (2014) Sentinel lymph node biopsy for patients with early-stage breast cancer: American Society of Clinical Oncology clinical practice guideline update. J Clin Oncol 32(13):1365–1383

    Article  PubMed  Google Scholar 

  31. NCCN clinical practice guidelines in oncology, http://www.nccn.org/store/login/login.aspx?ReturnURL=http://www.nccn.org/professionals/physician_gls/pdf/breast.pdf. Accessed 13 Mar 2015

  32. Paskett ED, Naughton MJ, McCoy TP, Case LD, Abbott JM (2007) The epidemiology of arm and hand swelling in premenopausal breast cancer survivors. Cancer Epidemiol Biomark Prev 16(4):775–782

    Article  Google Scholar 

  33. Norman SA, Localio AR, Kallan MJ, Weber AL, Torpey HA, Potashnik SL, Miller LT, Fox KR, DeMichele A, Solin LJ (2010) Risk factors for lymphedema after breast cancer treatment. Cancer Epidemiol Biomark Prev 19(11):2734–2746

    Article  Google Scholar 

  34. Black DM, Jiang J, Kuerer HM, Buchholz TA, Smith BD (2014) Racial disparities in adoption of axillary sentinel lymph node biopsy and lymphedema risk in women with breast cancer. JAMA Surg 149(8):788–796

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors thank the office and field staff for data collection, processing, and preparation. The authors thank all the Pathways Study participants for their numerous contributions to this study. This work was supported by the National Cancer Institute at the National Institutes of Health (Grant Number: R01 CA105274 to L.H.K) and the American Cancer Society (Grant Number: RSG-06-209-01-LR to M.L.K). The Roswell Park Cancer Institute Data Bank and Biorepository and Genomics Shared Resource are supported by a National Cancer Institute Cancer Center Support Grant (Grant Number: P30 CA16056). The contents of this manuscript are solely the responsibility of the authors and do not necessarily represent the official views of the funding agencies.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marilyn L. Kwan.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Additional information

Marilyn L. Kwan and Song Yao contributed equally to this work and are co-first authors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kwan, M.L., Yao, S., Lee, V.S. et al. Race/ethnicity, genetic ancestry, and breast cancer-related lymphedema in the Pathways Study. Breast Cancer Res Treat 159, 119–129 (2016). https://doi.org/10.1007/s10549-016-3913-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10549-016-3913-x

Keywords

Navigation