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19.09.2020 | Clinical trial

Association between body mass index and localization of breast cancer: results from a nationwide inpatient database in Japan

verfasst von: Takaaki Konishi, Michimasa Fujiogi, Nobuaki Michihata, Kojiro Morita, Hiroki Matsui, Kiyohide Fushimi, Masahiko Tanabe, Yasuyuki Seto, Hideo Yasunaga

Erschienen in: Breast Cancer Research and Treatment | Ausgabe 1/2021

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Abstract

Purpose

Although both localization of breast cancer and body mass index (BMI) are associated with prognosis, the association between localization of breast cancer and BMI remains unclear. This study aimed to investigate the association between localization of breast cancer and BMI at diagnosis.

Methods

Patients who underwent surgery for stage 0–III breast cancer July 2010–March 2017 were identified retrospectively in a Japanese nationwide inpatient database. Multinomial logistic regression analyses adjusting for patient’s age were conducted to compare the outcomes among five BMI groups: < 18.5 kg/m² (n = 31,724; 9.3%), 18.5–24.9 kg/m² (n = 218,244; 64.3%), 25.0–29.9 kg/m² (n = 69,813; 20.6%), 30.0–34.9 kg/m² (n = 16,052; 4.7%), and ≥ 35.0 kg/m² (n = 3716; 1.1%). The outcomes were the quadrant and side of the breast where tumors were detected.

Results

In total, about half of the patients had breast cancer in the upper-outer quadrant (49.7%) and in the left breast (51.1%). In the multinomial analysis, BMI ≥ 25.0 kg/m² was associated with the occurrence of breast cancer in the upper-inner and lower-outer quadrants and in the central area, whereas BMI < 18.5 kg/m² was associated with the occurrence of breast cancer in the central area only. The side of breast cancer did not differ significantly among the five BMI groups.

Conclusions

Localization of breast cancer was associated with BMI in this large nationwide cohort. The findings may benefit patients’ self-checks and doctors’ examinations, potentially resulting in early detection and treatment.

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Perkins CI, Hotes J, Kohler BA, Howe HL (2004) Association between breast cancer laterality and tumor location, United States, 1994–1998. Cancer Causes Control 15:637–645. https://doi.org/10.1023/B:CACO.0000036171.44162.5fCrossRefPubMed

Lee AHS (2005) Why is carcinoma of the breast more frequent in the upper outer quadrant? A case series based on needle core biopsy diagnoses. Breast 14:151–152. https://doi.org/10.1016/j.breast.2004.07.002CrossRefPubMed

Bright CJ, Rea DW, Francis A, Feltbower RG (2016) Comparison of quadrant-specific breast cancer incidence trends in the United States and England between 1975 and 2013. Cancer Epidemiol 44:186–194. https://doi.org/10.1016/j.canep.2016.08.019CrossRefPubMed

Carter SA, Lyons GR, Kuerer HM et al (2016) Operative and oncologic outcomes in 9861 patients with operable breast cancer: single-institution analysis of breast conservation with oncoplastic reconstruction. Ann Surg Oncol 23:3190–3198. https://doi.org/10.1245/s10434-016-5407-9CrossRefPubMed

Siotos C, McColl M, Psoter K et al (2018) Tumor site and breast cancer prognosis. Clin Breast Cancer 18:e1045–e1052. https://doi.org/10.1016/j.clbc.2018.05.007CrossRefPubMed

Zucali R, Mariani L, Marubini E et al (1998) Early breast cancer: evaluation of the prognostic role of the site of the primary tumor. J Clin Oncol 16:1363–1366. https://doi.org/10.1200/JCO.1998.16.4.1363CrossRefPubMed

Gaffney DK, Tsodikov A, Wiggins CL (2003) Diminished survival in patients with inner versus outer quadrant breast cancers. J Clin Oncol 21:467–472. https://doi.org/10.1200/JCO.2003.12.047CrossRefPubMed

Colleoni M, Zahrieh D, Gelber RD et al (2005) Site of primary tumor has a prognostic role in operable breast cancer: the International Breast Cancer Study Group experience. J Clin Oncol 23:1390–1400. https://doi.org/10.1200/JCO.2005.06.052CrossRefPubMed

Lohrisch C, Jackson J, Jones A, Mates D, Olivotto IA (2000) Relationship between tumor location and relapse in 6,781 women with early invasive breast cancer. J Clin Oncol 18:2828–2835CrossRef

10.

Sohn VY, Arthurs ZM, Sebesta JA, Brown TA (2008) Primary tumor location impacts breast cancer survival. Am J Surg 195:641–644. https://doi.org/10.1016/j.amjsurg.2007.12.039CrossRefPubMed

11.

Giess CS, Keating DM, Osborne MP, Ng YY, Rosenblatt R (1998) Retroareola breast carcinoma: clinical, imaging, and histopathologic features. Radiology 207:669–673. https://doi.org/10.1148/radiology.207.3.9609889CrossRefPubMed

12.

Nicholson BT, Harvey JA, Cohen MA (2009) Nipple-areolar complex: normal anatomy and benign and malignant processes. Radiographics 29:509–523. https://doi.org/10.1148/rg.292085128CrossRefPubMed

13.

Turner-Warwick RT (1959) The lymphatics of the breast. Br J Surg 46:574–578. https://doi.org/10.1001/archinte.1963.03860040097008CrossRefPubMed

14.

Hwang KT, Kim J, Kim EK et al (2017) Poor prognosis of lower inner quadrant in lymph node–negative breast cancer patients who received no chemotherapy: a study based on nationwide Korean breast cancer registry database. Clin Breast Cancer 17:e169–e184. https://doi.org/10.1016/j.clbc.2016.12.011CrossRefPubMed

15.

Han Y, Moore JX, Langston M et al (2019) Do breast quadrants explain racial disparities in breast cancer outcomes? Cancer Causes Control 30:1171–1182. https://doi.org/10.1007/s10552-019-01222-xCrossRefPubMedPubMedCentral

16.

Yasunaga H (2019) Real world data in Japan: chapter II the diagnosis procedure combination database. Ann Clin Epidemiol 1:76–79CrossRef

17.

Yamana H, Moriwaki M, Horiguchi H, Kodan M, Fushimi K, Yasunaga H (2017) Validity of diagnoses, procedures, and laboratory data in Japanese administrative data. J Epidemiol 27:476–482. https://doi.org/10.1016/j.je.2016.09.009CrossRefPubMedPubMedCentral

18.

Yoko A, Shizukiyo I, Tadao G, Kazunori K, Yosikazu N, Kajii E (2006) Age at menopause and mortality in Japan: the Jichi Medical School Cohort Study. Epidemiology 16:1–5CrossRef

19.

Ding Y-Y, Yao P, Wu L et al (2017) Body mass index and persistent pain after breast cancer surgery: findings from the Women’s Healthy Eating and Living Study and a meta-analysis. Oncotarget 8:43332–43343. https://doi.org/10.18632/oncotarget.17948CrossRefPubMedPubMedCentral

20.

Konishi T, Fujiogi M, Michihata N et al (2020) Impact of body mass index on outcomes after breast cancer surgery: nationwide inpatients database study in Japan. Clin Breast Cancer [article in press]. https://doi.org/10.1016/j.clbc.2020.05.002CrossRefPubMed

21.

Bleicher RJ, O’Sullivan MJ, Ciocca V et al (2008) A prospective feasibility trial to determine the significance of the sentinel node gradient in breast cancer: a predictor of nodal metastasis location. Cancer 113:3100–3107. https://doi.org/10.1002/cncr.23932CrossRefPubMedPubMedCentral

22.

Boyd NF, Guo H, Martin LJ et al (2007) Mammographic density and the risk and detection of breast cancer. N Engl J Med 18:227–236CrossRef

23.

Baglietto L, Krishnan K, Stone J et al (2014) Associations of mammographic dense and nondense areas and body mass index with risk of breast cancer. Am J Epidemiol 179:475–483. https://doi.org/10.1093/aje/kwt260CrossRefPubMed

24.

Lokate M, Peeters PHM, Peelen LM, Haars G, Veldhuis WB, van Gils CH (2011) Mammographic density and breast cancer risk: the role of the fat surrounding the fibroglandular tissue. Breast Cancer Res 13:R103. https://doi.org/10.1186/bcr3044CrossRefPubMedPubMedCentral

25.

Rzymski P, Skórzewska A, Skibińska-Zielińska M, Opala T (2011) Factors influencing breast elasticity measured by the ultrasound shear wave elastography—preliminary results. Arch Med Sci 7:127–133. https://doi.org/10.5114/aoms.2011.20617CrossRefPubMedPubMedCentral

26.

Dominkovic MD, Ivanac G, Bojanic K et al (2020) Exploring association of breast pain, pregnancy, and body mass index with breast tissue elasticity in healthy women: glandular and fat differences. Diagnostics 10:393CrossRef

27.

Ellsworth DL, Ellsworth RE, Love B et al (2004) Outer breast quadrants demonstrate increased levels of genomic instability. Ann Surg Oncol 11:861–868. https://doi.org/10.1245/ASO.2004.03.024CrossRefPubMed

28.

Coltman CE, Steele JR, McGhee DE (2017) Breast volume is affected by body mass index but not age. Ergonomics 60:1576–1585. https://doi.org/10.1080/00140139.2017.1330968CrossRefPubMed

29.

Coltman CE, Steele JR, McGhee DE (2018) Effects of age and body mass index on breast characteristics: a cluster analysis. Ergonomics 61:1232–1245. https://doi.org/10.1080/00140139.2018.1481229CrossRefPubMed

30.

Preston DL, Mattsson A, Holmberg E et al (2002) Radiation effects on breast cancer risk: a pooled analysis of eight cohorts. Radiat Res 158:220–235CrossRef

31.

Alqahtani SJM, Welbourn R, Thomson K, Knapp KM (2019) Increased radiation dose and projected radiation-related lifetime cancer risk in patients with obesity due to projection radiography. J Radiol Prot 39:38–53CrossRef

32.

Blot WJ, Fraumeni JRJF, Young JRJL, Jolly H (1977) Left-sided breast cancer. Lancet 310:762–763. https://doi.org/10.1016/S0140-6736(77)90266-5CrossRef

33.

Cheng SA, Liang LZ, Liang QL et al (2018) Breast cancer laterality and molecular subtype likely share a common risk factor. Cancer Manag Res 10:6549–6554. https://doi.org/10.2147/CMAR.S182254CrossRefPubMedPubMedCentral

34.

Ekbom A, Adami H-O, Trichopoulos D, Lambe M, Hsieh C, Pontén J (1994) Epidemiologic correlates of breast cancer laterality (Sweden). Cancer Causes Control 5:510–516. https://doi.org/10.1007/BF01831378CrossRefPubMed

35.

Ing R, Ho JHC, Petrakis NL (1977) Unilateral breast-feeding and breast cancer. Lancet 310:124–127. https://doi.org/10.1016/S0140-6736(77)90131-3CrossRef

36.

Senie RT, Saftlas AF, Brinton LA, Hoover RN (1993) Is breast size a predictor of breast cancer risk or the laterality of the tumor? Cancer Causes Control 4:203–208. https://doi.org/10.1007/BF00051314CrossRefPubMed

37.

Kubo M, Kumamaru H, Isozumi U et al (2020) Annual report of the Japanese Breast Cancer Society registry for 2016. Breast Cancer 27:511–518. https://doi.org/10.1007/s12282-020-01081-4CrossRefPubMedPubMedCentral

Titel: Association between body mass index and localization of breast cancer: results from a nationwide inpatient database in Japan
verfasst von: Takaaki Konishi
Michimasa Fujiogi
Nobuaki Michihata
Kojiro Morita
Hiroki Matsui
Kiyohide Fushimi
Masahiko Tanabe
Yasuyuki Seto
Hideo Yasunaga
Publikationsdatum: 19.09.2020
Verlag: Springer US
Erschienen in: Breast Cancer Research and Treatment / Ausgabe 1/2021
Print ISSN: 0167-6806
Elektronische ISSN: 1573-7217
DOI: https://doi.org/10.1007/s10549-020-05934-6

Springer Medizin

Association between body mass index and localization of breast cancer: results from a nationwide inpatient database in Japan