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    Cancer Epidemiology 39 (2015) 567570

    Contents lists available at ScienceDirect

    Cancer EpidThe International Journal of Cancer Epid

    jou r nal h o mep age: w ww.cfDivision of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, United StatesgDepartment of Dermatology, The Warren Alpert Medical School of Brown University, Providence, RI, United StateshDepartment of Epidemiology, Brown School of Public Health, Providence, RI, United States

    1. Introduction

    Endometrial cancer (EC) was the fourth most common cancerin US women in 2013 [1]. Risk factors for EC include obesity,postmenopausal hormone replacement therapy, type II diabetes,tamoxifen use, and conditions related to unopposed estrogensuch as chronic anovulation [24]. Among these factors,excessive body-mass index (BMI) has been well-established asa risk factor, and is present in about 50% of women withendometrial cancer [5]. According to an expert review panelorganized by the World Cancer Research Fund (WCRF) and theAmerican Institute for Cancer Research (AICR) [6], almost all

    cohort studies and case-control studies have found increasedrisk of EC with higher overall body fatness (as measured byBMI), which prompted the panel to judge obesity as a convincingrisk factor of EC.

    Body fatness may promote endometrial carcinogenesis byincreasing hormones and growth factors [7], altering sex hormonebinding globulin [8], and several pro-inammatory cytokines[9,10]. Abdominal fat is hypothesized to be biologically differentfrom other fat in the body in characteristics favoring cellproliferation or vascularization [11,12]. However, there has beenlimited evidence whether abdominal fatness is associated with ECindependent of whole body fatness [1316]. Several previousstudies on abdominal fatness and EC risk have found inconsistentresults [1719]. The WCRF/AICR review panel judged abdominalfatness as a probable risk factor for EC [6].

    Therefore, the purpose of this study was to prospectivelyinvestigate whether body fat distribution is associated with therisk of EC, independent of overall fatness.

    A R T I C L E I N F O

    Article history:

    Received 26 December 2014

    Received in revised form 28 April 2015

    Accepted 10 May 2015

    Available online 9 June 2015

    Keywords:

    Body fat distribution

    Endometrial cancer

    Prospective cohort study

    A B S T R A C T

    Background: Epidemiologic studies have found that overall obesity is positively related to endometrial

    cancer (EC) risk. However, data assessing the association between body fat distribution and risk of EC are

    still limited.

    Methods: We followed 51,948 women who rst reported waist circumference (WC) and hip

    circumference in 1986 in the Nurses Health Study. Waist-to-hip ratio (WHR) was calculated.

    Results: During 24 years of follow-up, 449 incident invasive EC cases were diagnosed. In a multivariate

    analysis without adjusting for body mass index (BMI), the relative risks (RRs) for EC comparing extreme

    categories were 2.44 (95% condence interval [CI] 1.723.45) for WC and 1.69 (95% CI = 1.202.40) for

    WHR. However, after adjustment of BMI, those positive associations were substantially attenuated and

    no longer signicant; RR = 1.08 (95% CI = 0.691.67) for WC and 1.15 (95% CI = 0.811.64) for WHR,

    respectively.

    Conclusion: In our prospective cohort study, we found no independent association between body fat

    distribution and the risk of EC after adjustment for BMI.

    2015 Elsevier Ltd. All rights reserved.

    * Corresponding author at: Department of Dermatology, The Warren Alpert

    Medical School of Brown University, Box G-D, Providence, RI 02903, United States.

    Tel.: +1 401 863 5895; fax: +1 401 863 5799.

    E-mail address: [email protected] (E. Cho).1 These two authors contributed equally to this work.

    http://dx.doi.org/10.1016/j.canep.2015.05.003

    1877-7821/ 2015 Elsevier Ltd. All rights reserved.Prospective study of body fat distributiendometrial cancer

    Woong Ju a,b,1, Hyun Ja Kim c,1, Susan E. HankinsonEunyoung Cho d,g,h,*aDepartment of Obstetrics and Gynecology, Ewha Womans University, Seoul, RepublicbMedical Research Institute, College of Medicine, Ewha Womans University, Seoul, RepcDivision of Health and Nutrition Survey, Korea Centers for Disease Control and PrevedChanning Division of Network Medicine, Department of Medicine, Brigham and WomeeDepartment of Epidemiology, Harvard School of Public Health, Boston, MA, United St and the risk of

    e,f, Immaculata De Vivo d,e,

    orea

    c of Korea

    , Cheongju-si, Chungcheongbuk-do, Republic of Korea

    ospital and Harvard Medical School, Boston, MA, United States

    emiologyemiology, Detection, and Prevention

    an cer ep idem io log y.n et

  • 2. Methods

    2.1. Study population

    The Nurses Health Study cohort was established in 1976 andcontinues to be followed up by biennial questionnaires to updateinformation on lifestyle factors and to identify cases of newlydiagnosed diseases including cancers. This study was restricted to51,948 women who reported waist circumference (WC) and hipcircumference (HC) in the 1986 questionnaire and also were free ofprior history of cancer (except non-melanoma skin cancer), andhysterectomy.

    2.2. Assessment of body fat distribution

    In the 1986 questionnaire, participants were instructed tomeasure and report their WC (at the umbilicus) and HC (the largestcircumference) to the nearest quarter-inch. WHR (waist-to-hipratio) was calculated based on WC and HC reported at 1986, whichwere updated in 1996 and 2000. These measurements werevalidated by technicians who visited participants in their homes ina sample of 140 nurses. The correlations between self-reportedmeasure and the average of two technician-measured values were0.89 for WC and 0.84 for HC, respectively [20].

    weight was not reported for two consecutive time periods, womenwere excluded from follow-up until an updated weight wasreported. Participants were classied to postmenopausal womenfrom the time women returned a questionnaire reporting naturalmenopause. Pack-years of smoking were calculated by multiplyingthe duration and dose of smoking; one pack-year is equivalent tohaving smoked one pack/day for one year. BMI (kg/m2) wascalculated using the reported height and weight.

    2.4. End points

    Participants have been asked on each biennial questionnairewhether they had been diagnosed with EC during the previous twoyears. For a woman who reported a diagnosis of EC, the relevantmedical records and pathology reports were reviewed by studyphysicians blinded to questionnaire information. Cases conrmedas invasive endometrial adenocarcinoma were included in thisstudy because other histologic types such as endometrialcarcinosarcoma or mixed Mullerian tumor are not only rare butalso very heterogeneous in composition.

    2.5. Statistical analysis

    Women were grouped into ve categories of WC, HC, or WHRusing pre-specied cutoffs. Participants contributed person-time

    tio

    HC

    368

    51

    (7

    21

    (2

    39

    31

    30

    14

    (1

    12

    (1

    2.8

    (1

    48

    56

    62

    14

    9

    16

    ta

    or

    W. Ju et al. / Cancer Epidemiology 39 (2015) 5675705682.3. Ascertainment of covariates

    On the baseline questionnaire in 1976, participants were askedfor information about age, weight and height, menopausal status,oral contraceptive use, parity, age at rst birth, age at menarche,age at menopause, and smoking status. Information on type ofpostmenopausal hormone use (i.e., estrogen alone or estrogen withprogesterone) was obtained from 1978. Information on duration oforal contraceptive use was asked on each questionnaire through1984, while other covariate data (except height) have beenupdated on all subsequent biennial questionnaires. In this analysis,we used the updated data as time varying covariates. If the updatedcovariate data were not available for any cycle, those women wereassigned to a missing category for that period. Weight from theprevious questionnaire cycle was carried forward if missing. If

    Table 1Age-standardized characteristics according to measures of baseline body fat distribu

    WC categories (in)

    Category cutoff 27 3032 38 Number of subjects 7612 9101 2667

    Age, yr 50.3

    (7.0)

    53.4

    (7.1)

    54.5

    (7.0)

    BMI, kg/m2 20.9

    (1.9)

    24.4

    (2.6)

    33.5

    (5.2)

    Smoking

    Never, % 43 44 44

    Past, % 33 35 38

    Current, % 24 21 18

    Pack years 12.0

    (17.2)

    12.4

    (17.9)

    13.9

    (19.7)

    Age at menarche, yr 12.7

    (1.4)

    12.6

    (1.4)

    12.3

    (1.5)

    Parity (no. of children) 2.7

    (1.5)

    3.0

    (1.6)

    3.1

    (1.7)

    Oral contraceptive use, % 49 47 43

    Postmenopausal, % 55 55 57

    Postmenopausal hormone use, % (among postmenopausal women only)

    No use 57 64 76

    Oral conjugated estrogen 15 12 8

    Oral estrogen and progesterone 11 9 4

    Others 17 15 12

    a WC, waist circumference; HC, hip circumference; WHR, waist-to-hip ratio. All da

    exception of age, all data shown are standardized to the age distributions of the cohfrom the date of return of the 1986 questionnaire to the date ofdiagnosis of EC, the date of death, the date of report of other cancerexcept non-melanoma skin cancer, hysterectomy (with or withoutoophorectomy), or the end of follow-up (June 1, 2010), whicheveroccurred rst.

    Relative risk (RR) was calculated as the incidence rate for agiven category of the measurements compared with the lowestcategory. Cox proportional hazard regression models were used toestimate RR and 95% condence intervals (CI) of EC. To control asnely as possible for confounding by age, calendar time, and anypossible two-way interactions between these two time scales, westratied the analysis jointly by age in months at start of follow-upand calendar year of the current questionnaire cycle. In multivari-ate analysis, we also adjusted for the following covariates: smokingpack-years, age at menarche, duration of oral contraceptive use,

    na in 1986 in the Nurses Health Study.

    categories (in) WHR categories

    6 3940 45 0.73 0.77 to

  • gori

    W. Ju et al. / Cancer Epidemiology 39 (2015) 567570 569Table 2Multivariate relative risks (RRs) of incident endometrial cancer (EC) according to cate

    in the Nurses Health Study.

    Median Number of cases

    WC (inch) 27 26 47 2829 28 47

    3032 31 81

    3337 35 129

    38 40 145

    P for trend

    HC (inch) 38 35 49 3738 38 67

    3940 39 86

    4144 42 136

    45 47 111

    P for trend

    WHR

  • the baseline of cohort follow-up. Anthropometry, which wasperformed after diagnosis rather than prior to diagnosis, cannotrule out an effect of reverse causation on the relation betweenabdominal adiposity and EC. Although body size may not change

    Authorship contribution

    Woong Ju, Hyun Ja Kim, and Eunyoung Cho were responsible forthe initial plan, study design, data extraction and data interpreta-

    W. Ju et al. / Cancer Epidemiology 39 (2015) 567570570acutely over weeks or months, the difference in reference yearof exposure might contribute to the inconsistent ndingsbetween several case-control studies and cohort studiesincluding ours.

    Body fatness is known to promote endometrial carcinogenesisby increasing estrogens and growth factors [7], altering sexhormone-binding globulin levels [8], and increasing insulin andseveral pro-inammatory cytokine levels [9,10]. Abdominal fat ishypothesized to be biologically different from other fat in the bodywith characteristics favoring cell proliferation or vascularization[11,12]. The biologic effect of adipose tissue may vary dependingon its location in terms of functional activity to store and releasefatty acids and to synthesize and secrete adipokines [21], whichsubsequently can discriminate the carcinogenic potential of fattissue. Another hypothesis suggesting the role of abdominalfatness in carcinogenesis is that the abdominal adiposity is mainlycomposed of white adipose tissue with little brown adipose tissue.White adipose tissue is responsible for increased insulin resistance,and inammatory cytokines, whereas brown adipose tissue is not[22].

    Our study had several strengths. First, self-reported data onanthropometry were validated, with high correlations betweenself-reported and technician assessed measurements [20]. Second,anthropometric information was collected multiple times duringfollow-up and updated in the statistical analysis, reducing thepotential for misclassication of anthropometric measures. Third,since all the participants of the cohort were medical professionalswho were fully aware of the importance of body size measurementas well as life style exposures in a medical eld, technical errors inascertainment of exposure might be less than other studiescomposed with lay people.

    The current study also has limitations. We did not differentiatethe pathology of endometrial cancer. It has been known thatendometrioid histology is more strongly linked with estrogenstimulation and obesity than other subtypes such as papillaryserous type or clear cell type. However, the main result would notlikely to change even if we performed a subgroup analysis based onits histology because the incidence of non-endometrioid endome-trial cancer is far lower than that of endometrioid type.

    In summary, this prospective cohort study found no indepen-dent association between body fat distribution and the risk of ECafter adjusting for BMI.

    Funding

    This study was supported by research grant CA87969 from theNational Institutes of Health.

    Conict of interest statement

    All authors have no support from any organization for thesubmitted work; no nancial relationships with any organizationsthat might have an interest in the submitted work, no otherrelationships or activities that could appear to have inuenced thesubmitted work.tion. Woong Ju was responsible for manuscript drafting and HyunJa Kim was responsible for statistical analysis. Susan E. Hankinsonand Immaculata De Vivo were responsible for data interpretation.Eunyoung Cho is the guarantor for this paper and has fullresponsibility for this study.

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