nach oben

Erschienen in:

04.06.2022 | Clinical trial

Association between body mass index and incidence of breast cancer in premenopausal women: a Japanese nationwide database study

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

Erschienen in: Breast Cancer Research and Treatment | Ausgabe 2/2022

Einloggen, um Zugang zu erhalten

Abstract

Purpose

The association between body mass index (BMI) and the incidence of premenopausal breast cancer in the Asian population remains unclear. We investigated this association using data from a Japanese nationwide administrative database.

Methods

We retrospectively identified 785,703 females aged < 45 years with available health checkup data on BMI from January 2005 and April 2020 from a Japanese nationwide database. Cox proportional hazards model was used to estimate hazard ratios for breast cancer (total breast cancer, breast cancer with hormonal drug and trastuzumab administration, and breast cancer by age ≤ 45 years) associated with BMI recorded at the first health checkup. We conducted restricted cubic spline analysis without BMI categorization to investigate potential nonlinear associations with adjustment for backgrounds such as smoking and alcohol consumption.

Results

Overall, the median BMI was 20.5 (interquartile range [IQR], 18.9–22.7) kg/m², and the median age was 37 (IQR, 29–41) years. Breast cancer occurred in 5597 participants (0.71%) at a median age of 44 (IQR, 42–46) years during a median follow-up of 1034 (IQR, 634–1779) days. A BMI of ≥ 22.0 kg/m² was significantly associated with lower incidences of total breast cancer, breast cancer with hormonal drug administration, and breast cancer by age ≤ 45 years, whereas no significant associations were observed for breast cancer with trastuzumab administration.

Conclusion

This study, which used a Japanese nationwide database, demonstrated that BMI was inversely associated with premenopausal breast cancer development in Japanese women, similar to that observed in Western women.

Nur mit Berechtigung zugänglich

Torre LA, Islami F, Siegel RL et al (2017) Global cancer in women: burden and trends. Cancer Epidemiol Biomark Prev 26:444–457. https://doi.org/10.1158/1055-9965.EPI-16-0858CrossRef

Premenopausal Breast Cancer Collaborative Group, Schoemaker MJ, Nichols HB et al (2018) Association of body mass index and age with subsequent breast cancer risk in premenopausal women. JAMA Oncol 4:e181771. https://doi.org/10.1001/jamaoncol.2018.1771CrossRef

Wada K, Nagata C, Tamakoshi A et al (2014) Body mass index and breast cancer risk in Japan: a pooled analysis of eight population-based cohort studies. Ann Oncol 25:519–524. https://doi.org/10.1093/annonc/mdt542CrossRefPubMed

Suzuki S, Kojima M, Tokudome S et al (2013) Obesity/weight gain and breast cancer risk: findings from the Japan collaborative cohort study for the evaluation of cancer risk. J Epidemiol 23:139–145. https://doi.org/10.2188/jea.JE20120102CrossRefPubMed

Suzuki R, Iwasaki M, Inoue M et al (2011) Body weight at age 20 years, subsequent weight change and breast cancer risk defined by estrogen and progesterone receptor status—the Japan public health center-based prospective study. Int J Cancer 129:1214–1224. https://doi.org/10.1002/ijc.25744CrossRefPubMed

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 371:569–578. https://doi.org/10.1016/S0140-6736(08)60269-XCrossRefPubMed

Amadou A, Ferrari P, Muwonge R et al (2013) Overweight, obesity and risk of premenopausal breast cancer according to ethnicity: a systematic review and dose–response meta-analysis. Obes Rev 14:665–678. https://doi.org/10.1111/obr.12028CrossRefPubMed

Lee KR, Hwang IC, Han KD et al (2018) Waist circumference and risk of breast cancer in Korean women: a nationwide cohort study. Int J Cancer 142:1554–1559. https://doi.org/10.1002/ijc.31180CrossRefPubMed

Hu YH, Nagata C, Shimizu H et al (1997) Association of body mass index, physical activity, and reproductive histories with breast cancer: a case-control study in Gifu, Japan. Breast Cancer Res Treat 43:65–72. https://doi.org/10.1023/A:1005745824388CrossRefPubMed

10.

Nitta J, Nojima M, Ohnishi H et al (2016) Weight gain and alcohol drinking associations with breast cancer risk in Japanese postmenopausal women—results from the Japan Collaborative Cohort (JACC) study. Asian Pac J Cancer Prev 17:1437–1443. https://doi.org/10.7314/APJCP.2016.17.3.1437CrossRefPubMed

11.

Taira N, Arai M, Ikeda M, et al (2016) The Japanese Breast Cancer Society clinical practice guidelines for epidemiology and prevention of breast cancer, 2015 edn. Breast Cancer 23, p 343–356. https://doi.org/10.1007/s12282-016-0673-8

12.

Chen MJ, Wu WY, Yen AM et al (2016) Body mass index and breast cancer: analysis of a nation-wide population-based prospective cohort study on 1 393 985 Taiwanese women. Int J Obes (Lond) 40:524–530. https://doi.org/10.1038/ijo.2015.205CrossRef

13.

Greenland S (1995) Avoiding power loss associated with categorization and ordinal scores in dose–response and trend analysis. Epidemiology 6:450–454. https://doi.org/10.1097/00001648-199507000-00025CrossRefPubMed

14.

Greenland S (1995) Dose–response and trend analysis in epidemiology: alternatives to categorical analysis. Epidemiology 6:356–365. https://doi.org/10.1097/00001648-199507000-00005CrossRefPubMed

15.

Li H, Qian F, Zuo Y et al (2022) U-shaped relationship of high-density lipoprotein cholesterol and incidence of total, ischemic and hemorrhagic stroke: a prospective cohort study. Stroke. https://doi.org/10.1161/STROKEAHA.121.034393CrossRefPubMed

16.

Gershengorn HB, Pilcher DV, Litton E et al (2022) Association of patient-to-intensivist ratio with hospital mortality in Australia and New Zealand. Intensive Care Med 48:179–189. https://doi.org/10.1007/s00134-021-06575-zCrossRefPubMed

17.

Heiden BT, Eaton DB Jr, Chang SH et al (2021) Assessment of duration of smoking cessation prior to surgical treatment of non-small cell lung cancer. Ann Surg. https://doi.org/10.1097/SLA.0000000000005312CrossRefPubMed

18.

Kimura S, Sato T, Ikeda S et al (2010) Development of a database of health insurance claims: standardization of disease classifications and anonymous record linkage. J Epidemiol 20:413–419. https://doi.org/10.2188/jea.JE20090066CrossRefPubMedPubMedCentral

19.

Sato D, Goto T, Uda K et al (2021) Impact of national guidelines for antimicrobial stewardship to reduce antibiotic use in upper respiratory tract infection and gastroenteritis. Infect Control Hosp Epidemiol 42:280–286. https://doi.org/10.1017/ice.2020.427CrossRefPubMed

20.

Michihata N, Shigemi D, Sasabuchi Y et al (2019) Safety and effectiveness of Japanese herbal Kampo medicines for treatment of hyperemesis gravidarum. Int J Gynaecol Obstet 145:182–186. https://doi.org/10.1002/ijgo.12781CrossRefPubMed

21.

Amagai Y, Ishikawa S, Gotoh T et al (2006) Age at menopause and mortality in Japan: the Jichi Medical School Cohort study. J Epidemiol 16:161–166. https://doi.org/10.2188/jea.16.161CrossRefPubMedPubMedCentral

22.

Lee JS, Hayashi K, Mishra G et al (2013) Independent association between age at natural menopause and hypercholesterolemia, hypertension, and diabetes mellitus: Japan nurses’ health study. J Atheroscler Thromb 20:161–169. https://doi.org/10.5551/jat.14746CrossRefPubMed

23.

Zhu D, Chung HF, Dobson AJ et al (2019) Age at natural menopause and risk of incident cardiovascular disease: a pooled analysis of individual patient data. Lancet Public Health 4:e553–e564. https://doi.org/10.1016/S2468-2667(19)30155-0CrossRefPubMedPubMedCentral

24.

Tsumura K, Hayashi T, Suematsu C et al (1999) Daily alcohol consumption and the risk of type 2 diabetes in Japanese men: the Osaka Health Survey. Diabetes Care 22:1432–1437. https://doi.org/10.2337/diacare.22.9.1432CrossRefPubMed

25.

Watanabe M, Barzi F, Neal B et al (2002) Alcohol consumption and the risk of diabetes by body mass index levels in a cohort of 5,636 Japanese. Diabetes Res Clin Pract 57:191–197. https://doi.org/10.1016/s0168-8227(02)00083-9CrossRefPubMed

26.

Kawate N, Kayaba K, Hara M et al (2017) Body mass index and stroke incidence in Japanese community residents: The Jichi Medical School (JMS) Cohort Study. J Epidemiol 27:325–330. https://doi.org/10.1016/j.je.2016.08.007CrossRefPubMedPubMedCentral

27.

Kanazawa M, Yoshiike N, Osaka T et al (2005) Criteria and classification of obesity in Japan and Asia-Oceania. World Rev Nutr Diet 94:1–12. https://doi.org/10.1159/000088200CrossRefPubMed

28.

Shiozawa M, Kaneko H, Itoh H et al (2021) Association of body mass index with ischemic and hemorrhagic stroke. Nutrients 13:2343. https://doi.org/10.3390/nu13072343CrossRefPubMedPubMedCentral

29.

Konishi T, Fujiogi M, Michihata N et al (2022) Impact of body mass index on short-term outcomes after differentiated thyroid cancer surgery: a nationwide inpatient database study in Japan. Eur Thyroid J 11:e2210081. https://doi.org/10.1530/ETJ-21-0081CrossRef

30.

Konishi T, Fujiogi M, Michihata N et al (2020) Impact of body mass index on outcomes after breast cancer surgery: Nationwide inpatient database study in Japan. Clin Breast Cancer 20:e663–e674. https://doi.org/10.1016/j.clbc.2020.05.002CrossRefPubMed

31.

Mizukoshi MM, Hossian SZ, Poulos A (2020) Comparative analysis of breast cancer incidence rates between Australia and Japan: screening target implications. Asian Pac J Cancer Prev 21:2123–2129. https://doi.org/10.31557/APJCP.2020.21.7.2123CrossRefPubMedPubMedCentral

32.

Lin CH, Yap YS, Lee KH et al (2019) Contrasting epidemiology and clinicopathology of female breast cancer in Asians vs the US population. J Natl Cancer Inst 111:1298–1306. https://doi.org/10.1093/jnci/djz090CrossRefPubMedPubMedCentral

33.

Konishi T, Fujiogi M, Michihata N et al (2021) Comparison of short-term surgical outcomes between men and women with breast cancer: a retrospective study using nationwide inpatient data in Japan. Breast Cancer Res Treat 186:731–739. https://doi.org/10.1007/s10549-020-06069-4CrossRefPubMed

34.

Hayashi N, Kumamaru H, Isozumi U et al (2020) Annual report of the Japanese Breast Cancer Registry for 2017. Breast Cancer 27:803–809. https://doi.org/10.1007/s12282-020-01139-3CrossRefPubMed

35.

OECD Overweight or obese population (indicator). https://www.oecd-ilibrary.org/social-issues-migration-health/overweight-or-obese-population/indicator/english_86583552-en

36.

Modi ND, Tan JQE, Rowland A et al (2021) The obesity paradox in early and advanced HER2 positive breast cancer: pooled analysis of clinical trial data. NPJ Breast Cancer 7:30. https://doi.org/10.1038/s41523-021-00241-9CrossRefPubMedPubMedCentral

37.

Tworoger SS, Eliassen AH, Missmer SA et al (2006) Birthweight and body size throughout life in relation to sex hormones and prolactin concentrations in premenopausal women. Cancer Epidemiol Biomark Prev 15:2494–2501. https://doi.org/10.1158/1055-9965.EPI-06-0671CrossRef

38.

Endogenous Hormones and Breast Cancer Collaborative Group, Key TJ, Appleby PN et al (2013) Sex hormones and breast cancer risk in premenopausal women: collaborative reanalysis of seven prospective studies. Lancet Oncol 14:1009–1019. https://doi.org/10.1016/S1470-2045(13)70301-2.SexCrossRefPubMedCentral

39.

Eliassen AH, Missmer SA, Tworoger SS et al (2006) Endogenous steroid hormone concentrations and risk of breast cancer among premenopausal women. J Natl Cancer Inst 98:1406–1415. https://doi.org/10.1093/jnci/djj376CrossRefPubMed

40.

Walker K, Bratton DJ, Frost C (2011) Premenopausal endogenous oestrogen levels and breast cancer risk: A meta-analysis. Br J Cancer 105:1451–1457. https://doi.org/10.1038/bjc.2011.358CrossRefPubMedPubMedCentral

41.

Fortner RT, Eliassen AH, Spiegelman D et al (2013) Premenopausal endogenous steroid hormones and breast cancer risk: Results from the Nurses’ Health Study II. Breast Cancer Res 15:R19. https://doi.org/10.1186/bcr3394CrossRefPubMedPubMedCentral

42.

Kaaks R, Tikk K, Sookthai D et al (2014) Premenopausal serum sex hormone levels in relation to breast cancer risk, overall and by hormone receptor status—results from the EPIC cohort. Int J Cancer 134:1947–1957. https://doi.org/10.1002/ijc.28528CrossRefPubMed

43.

Schernhammer ES, Sperati F, Razavi P et al (2013) Endogenous sex steroids in premenopausal women and risk of breast cancer: The ORDET cohort. Breast Cancer Res 15:R46. https://doi.org/10.1186/bcr3438CrossRefPubMedPubMedCentral

44.

Dowsett M, Folkerd E (2015) Reduced progesterone levels explain the reduced risk of breast cancer in obese premenopausal women: a new hypothesis. Breast Cancer Res Treat 149:1–4. https://doi.org/10.1007/s10549-014-3211-4CrossRefPubMed

45.

Key TJ, Pike MC (1988) The role of oestrogens and progestagens in the epidemiology and prevention of breast cancer. Eur J Cancer Clin Oncol 24:29–43. https://doi.org/10.1016/0277-5379(88)90173-3CrossRefPubMed

46.

García-Estévez L, Cortés J, Pérez S et al (2021) Obesity and breast cancer: a paradoxical and controversial relationship influenced by menopausal status. Front Oncol 11:705911. https://doi.org/10.3389/fonc.2021.705911CrossRefPubMedPubMedCentral

47.

Oh H, Boeke CE, Tamimi RM et al (2015) The interaction between early-life body size and physical activity on risk of breast cancer. Int J Cancer 137:571–581. https://doi.org/10.1002/ijc.29272CrossRefPubMed

48.

Hirose K, Tajima K, Hamajima N et al (1999) Comparative case-referent study of risk factors among hormone-related female cancers in Japan. Jpn J Cancer Res 90:255–261. https://doi.org/10.1111/j.1349-7006.1999.tb00741.xCrossRefPubMedPubMedCentral

49.

Kawai M, Minami Y, Kuriyama S et al (2010) Reproductive factors, exogenous female hormone use and breast cancer risk in Japanese: the Miyagi Cohort Study. Cancer Causes Control 21:135–145. https://doi.org/10.1007/s10552-009-9443-7CrossRefPubMed

50.

Collaborative Group on Hormonal Factors in Breast Cancer (2002) Breast cancer and breastfeeding: Collaborative reanalysis of individual data from 47 epidemiological studies in 30 countries, including 50302 women with breast cancer and 96973 women without the disease. Lancet 360:187–195. https://doi.org/10.1016/S0140-6736(02)09454-0CrossRef

51.

Schisterman EF, Cole SR, Platt RW (2009) Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology 20:488–495. https://doi.org/10.1097/EDE.0b013e3181a819a1CrossRefPubMedPubMedCentral

52.

Tung HT, Tsukuma H, Tanaka H et al (1999) Risk factors for breast cancer in Japan, with special attention to anthropometric measurements and reproductive history. Jpn J Clin Oncol 29:137–146. https://doi.org/10.1093/jjco/29.3.137CrossRefPubMed

53.

Pharoah PDP, Day NE, Duffy S et al (1997) Family history and the risk of breast cancer: A systematic review and meta-analysis. Int J Cancer 71:800–809. https://doi.org/10.1002/(sici)1097-0215(19970529)71:5%3c800::aid-ijc18%3e3.0.co;2-bCrossRefPubMed

54.

Nelson HD, Zakher B, Cantor A et al (2012) Risk factors for breast cancer for women aged 40 to 49 years: a systematic review and meta-analysis. Ann Intern Med 156:635–648. https://doi.org/10.7326/0003-4819-156-9-201205010-00006CrossRefPubMedPubMedCentral

55.

Chlebowski RT, Anderson GL, Gass M et al (2010) Estrogen plus progestin and breast cancer incidence and mortality in postmenopausal women. JAMA 304:1684–1692. https://doi.org/10.1001/jama.2010.1500CrossRefPubMedPubMedCentral

56.

Saeki T, Sano M, Komoike Y et al (2008) No increase of breast cancer incidence in Japanese women who received hormone replacement therapy: Overview of a case-control study of breast cancer risk in Japan. Int J Clin Oncol 13:8–11. https://doi.org/10.1007/s10147-007-0728-0CrossRefPubMed

57.

Konishi T, Fujiogi M, Michihata N et al (2021) Association between body mass index and localization of breast cancer: results from a nationwide inpatient database in Japan. Breast Cancer Res Treat 185:175–182. https://doi.org/10.1007/s10549-020-05934-6CrossRefPubMed

58.

Park Y, Peterson LL, Colditz GA (2018) The plausibility of obesity paradox in cancer-point. Cancer Res 78:1898–1903. https://doi.org/10.1158/0008-5472.CAN-17-3043CrossRefPubMedPubMedCentral

59.

Thrift AP, Natarajan Y, Liu Y, El-Serag HB (2019) Statin use after diagnosis of hepatocellular carcinoma is associated with decreased mortality. Clin Gastroenterol Hepatol 17:2117-2125.e3. https://doi.org/10.1016/j.cgh.2018.12.046CrossRefPubMedPubMedCentral

60.

Rhee CM, Alexander EK, Bhan I, Brunelli SM (2013) Hypothyroidism and mortality among dialysis patients. Clin J Am Soc Nephrol 8:593–601. https://doi.org/10.2215/CJN.06920712CrossRefPubMed

Titel: Association between body mass index and incidence of breast cancer in premenopausal women: a Japanese nationwide database study
verfasst von: Takaaki Konishi
Michimasa Fujiogi
Nobuaki Michihata
Hiroki Matsui
Masahiko Tanabe
Yasuyuki Seto
Hideo Yasunaga
Publikationsdatum: 04.06.2022
Verlag: Springer US
Erschienen in: Breast Cancer Research and Treatment / Ausgabe 2/2022
Print ISSN: 0167-6806
Elektronische ISSN: 1573-7217
DOI: https://doi.org/10.1007/s10549-022-06638-9

Neu im Fachgebiet Onkologie

Umsetzung der POMGAT-Leitlinie läuft

03.05.2024 DCK 2024 Kongressbericht

Seit November 2023 gibt es evidenzbasierte Empfehlungen zum perioperativen Management bei gastrointestinalen Tumoren (POMGAT) auf S3-Niveau. Vieles wird schon entsprechend der Empfehlungen durchgeführt. Wo es im Alltag noch hapert, zeigt eine Umfrage in einem Klinikverbund.

Springer Medizin

Association between body mass index and incidence of breast cancer in premenopausal women: a Japanese nationwide database study