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Prognostic role of body mass index is different according to menopausal status and tumor subtype in breast cancer patients

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

Abstract

Purpose

Although controversial, obesity and underweight may have a negative impact on breast cancer outcome. However, the relationship between body mass index (BMI) and breast cancer outcomes according to tumor subtype and menopausal status remains unclear.

Methods

This study investigated the association between BMI and breast cancer outcome in stage I–III breast cancer patients. The relationships were further evaluated according to tumor subtype and menopausal status.

Results

A total of 5919 patients, 3475 (58.7%) hormone receptor (HR)(+) human epidermal growth factor receptor 2 (HER2)(–), 608 (10.3%) HR(+)HER2(+), 621 (10.5%) HR(–)HER2(+), and 1079 (18.2%) HR(–)HER2(–) were included. Underweight and obesity had a negative impact on relapse-free survival but did not affect overall survival. Importantly, the prognostic role of BMI was different according to tumor subtype and menopausal status. In HR(+)HER2(–) patients, underweight was associated with poor relapse-free survival and overall survival in pre-menopausal women. In contrast, obesity had negative impact on relapse-free survival and overall survival in HR(+)HER2(–) post-menopausal patients. Underweight may have a negative prognostic role in HR(+)HER2(+) patients. However, BMI did not impact the outcome of HR(–)HER2(+) and HR(–)HER2(–) patients.

Conclusions

The impact of BMI on breast cancer outcome was dependent on tumor subtype and menopausal status. In HR(+)HER2(–) patients, underweight and obesity had a negative prognostic role in pre-menopausal and post-menopausal women, respectively. These findings in Asian population should be further evaluated and compared in Western population.

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REFERENCES

  1. Torre LA, Bray F, Siegel RL et al (2015) Global cancer statistics, 2012. CA Cancer J Clin 65(2):87–108. https://doi.org/10.3322/caac.21262

    Article  PubMed  Google Scholar 

  2. Althuis MD, Dozier JM, Anderson WF et al (2005) Global trends in breast cancer incidence and mortality 1973-1997. Int J Epidemiol 34(2):405–412. https://doi.org/10.1093/ije/dyh414

    Article  PubMed  Google Scholar 

  3. Jung KW, Won YJ, Kong HJ et al (2018) Cancer statistics in Korea: incidence, mortality, survival, and prevalence in 2015. Cancer Res Treat 50(2):303–316. https://doi.org/10.4143/crt.2018.143

    Article  PubMed  PubMed Central  Google Scholar 

  4. Renehan AG, Tyson M, Egger M et al (2008) Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet 371(9612):569–578. https://doi.org/10.1016/S0140-6736(08)60269-X

    Article  PubMed  Google Scholar 

  5. Renehan AG, Roberts DL, Dive C (2008) Obesity and cancer: pathophysiological and biological mechanisms. Arch Physiol Biochem 114(1):71–83. https://doi.org/10.1080/13813450801954303

    Article  CAS  PubMed  Google Scholar 

  6. Ewertz M, Jensen MB, Gunnarsdottir KA et al (2011) Effect of obesity on prognosis after early-stage breast cancer. J Clin Oncol 29(1):25–31. https://doi.org/10.1200/JCO.2010.29.7614

    Article  PubMed  Google Scholar 

  7. Chan DS, Vieira AR, Aune D et al (2014) Body mass index and survival in women with breast cancer-systematic literature review and meta-analysis of 82 follow-up studies. Ann Oncol 25(10):1901–1914. https://doi.org/10.1093/annonc/mdu042

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Moon HG, Han W, Noh DY (2009) Underweight and breast cancer recurrence and death: a report from the Korean Breast Cancer Society. J Clin Oncol 27(35):5899–5905. https://doi.org/10.1200/JCO.2009.22.4436

    Article  PubMed  Google Scholar 

  9. Kawai M, Minami Y, Nishino Y et al (2012) Body mass index and survival after breast cancer diagnosis in Japanese women. BMC Cancer 12:149. https://doi.org/10.1186/1471-2407-12-149

    Article  PubMed  PubMed Central  Google Scholar 

  10. Jeon YW, Kang SH, Park MH et al (2015) Relationship between body mass index and the expression of hormone receptors or human epidermal growth factor receptor 2 with respect to breast cancer survival. BMC Cancer 15:865. https://doi.org/10.1186/s12885-015-1879-4

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Niraula S, Ocana A, Ennis M et al (2012) Body size and breast cancer prognosis in relation to hormone receptor and menopausal status: a meta-analysis. Breast Cancer Res Treat 134(2):769–781. https://doi.org/10.1007/s10549-012-2073-x

    Article  CAS  PubMed  Google Scholar 

  12. Sparano JA, Wang M, Zhao F et al (2012) Obesity at diagnosis is associated with inferior outcomes in hormone receptor-positive operable breast cancer. Cancer 118(23):5937–5946. https://doi.org/10.1002/cncr.27527

    Article  CAS  PubMed  Google Scholar 

  13. Protani M, Coory M, Martin JH (2010) Effect of obesity on survival of women with breast cancer: systematic review and meta-analysis. Breast Cancer Res Treat 123(3):627–635. https://doi.org/10.1007/s10549-010-0990-0

    Article  PubMed  Google Scholar 

  14. WHO (2000) The Asia-Pacific perspective: redefining obesity and its treatment. Health Communications Australia, Sydney

    Google Scholar 

  15. Hammond ME, Hayes DF, Dowsett M et al (2010) American Society of Clinical Oncology/College Of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol 28(16):2784–2795. https://doi.org/10.1200/JCO.2009.25.6529

    Article  PubMed  PubMed Central  Google Scholar 

  16. Wolff AC, Hammond ME, Hicks DG et al (2013) Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. J Clin Oncol 31(31):3997–4013. https://doi.org/10.1200/JCO.2013.50.9984

    Article  PubMed  Google Scholar 

  17. Petracci E, Decarli A, Schairer C et al (2011) Risk factor modification and projections of absolute breast cancer risk. J Natl Cancer Inst 103(13):1037–1048. https://doi.org/10.1093/jnci/djr172

    Article  PubMed  PubMed Central  Google Scholar 

  18. Nelson ER, Chang CY, McDonnell DP (2014) Cholesterol and breast cancer pathophysiology. Trends Endocrinol Metab 25(12):649–655. https://doi.org/10.1016/j.tem.2014.10.001

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Rose DP, Vona-Davis L (2010) Interaction between menopausal status and obesity in affecting breast cancer risk. Maturitas 66(1):33–38. https://doi.org/10.1016/j.maturitas.2010.01.019

    Article  PubMed  Google Scholar 

  20. Cunningham-Rundles S, McNeeley DF, Moon A (2005) Mechanisms of nutrient modulation of the immune response. J Allergy Clin Immunol 115(6):1119–1128. https://doi.org/10.1016/j.jaci.2005.04.036

    Article  CAS  PubMed  Google Scholar 

  21. Min SY, Kim Z, Hur MH et al (2016) The basic facts of Korean Breast Cancer in 2013: results of a Nationwide Survey and Breast Cancer Registry Database. J Breast Cancer 19(1):1–7. https://doi.org/10.4048/jbc.2016.19.1.1

    Article  PubMed  PubMed Central  Google Scholar 

  22. Kan Z, Ding Y, Kim J et al (2018) Multi-omics profiling of younger Asian breast cancers reveals distinctive molecular signatures. Nat Commun 9(1):1725. https://doi.org/10.1038/s41467-018-04129-4

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Ramachandran A, Chamukuttan S, Shetty SA et al (2012) Obesity in Asia—is it different from rest of the world. Diabetes Metab Res Rev 28(Suppl 2):47–51. https://doi.org/10.1002/dmrr.2353

    Article  PubMed  Google Scholar 

  24. Chlebowski RT, Blackburn GL, Thomson CA et al (2006) Dietary fat reduction and breast cancer outcome: interim efficacy results from the Women’s Intervention Nutrition Study. J Natl Cancer Inst 98(24):1767–1776. https://doi.org/10.1093/jnci/djj494

    Article  PubMed  Google Scholar 

  25. Pierce JP, Natarajan L, Caan BJ et al (2007) Influence of a diet very high in vegetables, fruit, and fiber and low in fat on prognosis following treatment for breast cancer: the Women’s Healthy Eating and Living (WHEL) randomized trial. JAMA 298(3):289–298. https://doi.org/10.1001/jama.298.3.289

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Funding

This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (Grant No. HC17C0043).

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Authors

Corresponding author

Correspondence to Kyung-Hun Lee.

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Conflict of interest

The authors declare that they have no competing interests.

Ethical approval

The study protocol was reviewed and approved by the institutional review board of SNUH [H-1709-052-883]. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

As this study was retrospectively designed, informed consent was waived by the IRB of Seoul National University Hospital.

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Electronic supplementary material

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10549_2019_5249_MOESM1_ESM.tif

Supplement Figure 1. Prognostic role of BMI according to tumor subtype. (1A: HR(+)HER2(-), relapse-free survival; 1B: HR(+)HER2(-), overall survival; 1C: HR(+)HER2(+), relapse-free survival; 1D: HR(+)HER2(+), overall survival). Supplementary material 1 (TIFF 889 kb)

10549_2019_5249_MOESM2_ESM.tif

Supplement Figure 2. Prognostic role of BMI according to menopause status. (2A: pre-menopausal, relapse-free survival; 2B: pre-menopausal, overall survival; 2C: post-menopausal, relapse-free survival; 2D: post-menopausal, overall survival). Supplementary material 2 (TIFF 894 kb)

10549_2019_5249_MOESM3_ESM.tif

Supplement Figure 3. Prognostic role of BMI in HR(+)HER2(+) patients stratified by menopause status. (3A: pre-menopausal, relapse-free survival; 3B: pre-menopausal, overall survival; 3C: post-menopausal, relapse-free survival; 3D: post-menopausal, overall survival). Supplementary material 3 (TIFF 877 kb)

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Kim, J.Y., Lee, DW., Lee, KH. et al. Prognostic role of body mass index is different according to menopausal status and tumor subtype in breast cancer patients. Breast Cancer Res Treat 176, 453–460 (2019). https://doi.org/10.1007/s10549-019-05249-1

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  • DOI: https://doi.org/10.1007/s10549-019-05249-1

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