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. Author manuscript; available in PMC: 2014 Feb 1.
Published in final edited form as: Gynecol Oncol. 2012 Nov 2;128(2):181–186. doi: 10.1016/j.ygyno.2012.10.029

Body mass index, physical activity, and survival after endometrial cancer diagnosis: Results from the Women’s Health Initiative

Hannah Arem a, Rowan Chlebowski b, Marcia L Stefanick c, Garnet Anderson d, Jean Wactawski-Wende e, Stacy Sims c, Marc J Gunter f, Melinda L Irwin a
PMCID: PMC3552067  NIHMSID: NIHMS419417  PMID: 23127972

Abstract

Objective

While low physical activity and high body mass index (BMI) have been associated with higher endometrial cancer incidence, no previous studies have evaluated the association between physical activity and survival after endometrial cancer diagnosis, and studies on BMI and survival have not been performed in a prospective cohort.

Methods

We examined pre-diagnosis BMI and moderate- to vigorous-intensity physical activity in relation to overall and disease-specific survival among 983 postmenopausal women who were diagnosed with endometrial cancer in the Women’s Health Initiative Observational Study and Clinical Trials.

Results

Over a median 5.2 (max 14.1) years from diagnosis to death or end of follow-up, 163 total deaths were observed, 66 of which were due to endometrial cancer. We observed a higher all-cause mortality hazard ratio (HR)=1.85 (95% CI 1.19–2.88) comparing women with a BMI ≥35 kg/m2 to women with BMI <25 kg/m2. For endometrial cancer-specific mortality the HR=2.23 (95% CI 1.09–4.54) comparing extreme BMI categories. To examine histologic subtypes we analyzed type I endometrial tumors separately and found a HR=1.20 (95% CI 1.07–1.35) associated with all-cause mortality for each 5-unit change in BMI. Moderate- to vigorous-intensity physical activity was not associated with all-cause or endometrial cancer-specific mortality.

Conclusions

Pre-diagnosis BMI, but not physical activity, was associated with survival among women with endometrial cancer. Future studies should investigate mechanisms and timing of BMI onset to better understand the burden of disease attributable to BMI.

Keywords: endometrial carcinoma, survivorship, body mass index, physical activity

Introduction

High body mass index (BMI) and low physical activity have consistently been associated with higher risk of developing endometrial cancer [1]. In a recent study, 93% of endometrial cancer survivors had abdominal obesity and 12% met the U.S. government physical activity recommendation of 150 minutes of moderate to vigorous physical activity per week [2]. Despite this high prevalence of overweight and inactivity, the relationship between BMI, physical activity and survival after endometrial cancer diagnosis is unclear. A recent systematic review of BMI and survival after endometrial cancer diagnosis showed mixed results [3], with some studies showing no association after multivariate adjustment [411] and others suggesting worse survival associated with higher BMI [1215]. Of the studies summarized in the review, none stratified by tumor type, none were performed in a prospective cohort setting, and most utilized BMI data abstracted from medical charts. To our review no previous studies address the association between physical activity and morality among women with endometrial cancer. We hypothesized that BMI would be associated with a decreased risk of mortality, and that physical activity would show a protective association. With this background, we examined associations between pre-diagnosis, baseline BMI and physical activity with survival among endometrial cancer patients in the Women’s Health Initiative (WHI).

Methods

Study population

Eligibility criteria and recruitment methods have been published [16]. In short, between October 1993 and December 1998, 161,808 women were enrolled in the WHI Observational Study (OS) (n=93,676) or Clinical Trial (CT) (n= 68,132) from 40 U.S. clinical centers. Eligible women were between 50 and 79 years of age, postmenopausal, had an anticipated survival of >3 years and were accessible for follow up. The institutional review boards at all institutions approved the protocol and all participants provided informed consent. Outcome data for this analysis were updated through August of 2009.

Exposure assessment

Height and weight were measured at baseline. Weight was measured using a calibrated balance beam or digital scale and height was measured using a wall-mounted stadiometer; both were recorded to nearest the one-tenth kilogram, rounded up. BMI was categorized as <25 kg/m2 (normal), 25–<30 (overweight), 30–<35 (obese class I), and 35+ (obese classes II and III) [17].

Participants completed baseline questionnaires on medical history, reproductive factors, diet, lifestyle and physical activity. Participants reported “usual” frequency of walking outside the home for > 10 minutes without stopping. Six categories of frequency ranged from never to daily. Duration categories were < 20 minutes, 20–39 minutes, 40–59 minutes, and ≥1 hour. Four speed categories were created: < 2 mph (strolling), 2–3 mph (average/normal walking), 3–4 mph (fairly fast walking), and <4 mph (very fast walking). Women were also asked how often they usually exercised at moderate (not exhausting) or vigorous levels (that increased heart rate and produced sweating) by checking Likert scale categories [18] ranging from never to 5+ days/wk, and how long they exercised at each session to measure recreational physical activity. Vigorous activities included aerobics, jogging, tennis, and swimming laps and moderate-intensity physical activities included biking outdoors, exercise machines, calisthenics, easy swimming, and dancing.

We calculated the midpoint of the reported frequency and duration of exercise and multiplied the values to create a measure of “h/wk.” Corresponding intensity values were assigned using metabolic equivalent task (MET) values for walking (average, 3 METs; fast, 4 METs; and very fast 4.5 METs), moderate-intensity recreational (4 METs), and vigorous-intensity recreational (7 METs) activities based on the most recent compendium of physical activity [19]. We multiplied MET intensity by h/wk to compute a moderate- to vigorous-intensity physical activity variable (MET h/wk), excluding walking at or slower than an average/normal pace to better capture recreational physical activity. To categorize MET h/wk we identified those who performed no moderate to vigorous intensity physical activity (n=314) as one group and split the remaining women on the median MET value (MET h/wk= 11.26) to maintain similar size between groups.

Ascertainment of endometrial cancer outcomes

Participants completed annual (OS) or semi-annual (CT) health assessment questionnaires for self-reported health outcomes including cancer. Endometrial cancer diagnosis was verified by centrally trained physician adjudicators at the clinical centers after medical record and pathology report review, and coded according to National Cancer Institute Surveillance, Epidemiology, and End Results guidelines at the coordinating center [20]. Stage was based on the American Joint Committee on Cancer (AJCC) Staging Atlas. Vital status of participants was collected through clinical center follow-up of participants and surrogates, with death certificates obtained. In addition, periodic searches of the National Death Index (NDI) were conducted. Cause of death was determined by medical record and death certificate review by the clinical adjudicators with cause of death coded at the coordinating center; agreement rates between locally and centrally determined cause of death was 94% for cancer-related deaths [21]. Participants lost to follow up were matched to the NDI to confirm cause of death or otherwise unreported deaths [21]. To assess prognosis differences we stratified analyses by endometrial tumor types I and II using International Classification of Diseases for Oncology (ICD-O) morphology codes. Endometriod adenocarcinomas, adenosquamous carcinomas, mucin-producing adenocarcinoma and adenocarcinoma squamous metaplasia were categorized as type I and clear cell adenocarcinoma, papillary serious cystadenocarcinoma, adenosarcoma, mullerian mixed tumor, mesodermal mixed tumor, carcinosarcoma, and serous cystadenocarcinoma were categorized as type II.

Of the 161,808 women enrolled in WHI, 1,362 were diagnosed with endometrial cancer before August 2009. Exclusion criteria for this analysis included previous cancer diagnosis (n = 102), incomplete data on physical activity (n=65), BMI (n=9), or stage and grade (n=203). We excluded women without stage and grade since endometrial cancer survival is closely linked to these tumor characteristics [2223]. We compared these 203 women missing stage and grade with the women retained in analysis on known risk factors for endometrial cancer, finding that excluded women did not significantly differ from those included in the analysis, although women with missing stage and grade seemed to have higher, although not statistically different, BMI (chi-squared p-value=0.06). All included women were able to walk more than 10 minutes outside. After exclusions, 983 women with endometrial cancer remained in the study cohort. We observed 163 deaths from all causes and 66 deaths due to endometrial cancer.

Statistical Analysis

We compared baseline characteristics of the included women by BMI category using the chi-squared distribution for categorical variables and the Kruskal Wallis test for continuous variables. To account for the influence of multiple variables, we used Cox proportional hazards modeling to estimate the association between the exposures of interest and all-cause and endometrial cancer-specific mortality. We calculated person years using time from diagnosis to death or end of follow-up. Follow-up was terminated at death or administrative censoring at August, 2009. To account for the lag time between baseline BMI and physical activity measures and endometrial cancer diagnosis we created a categorical variable (0–<3.5, 3.5–<7, 7–<10.5, 10.5+ years). We first examined unadjusted models, and then built adjusted models, including variables that changed the log hazard ratio by >10% and were associated with both exposure and outcome. Contribution to model fit was assessed using the likelihood ratio test. In model building we considered all variables in Table 1 as possible covariates and confounders. To create parsimonious models, variables not meeting statistical criteria were excluded from final models. Final models included age (continuous), lag time interval, tumor stage (in situ/localized, regional/distant), tumor grade (well, moderately, poorly differentiated), and age at menarche (<12, ≥12). To test the proportional hazards assumption we created an interaction term between the continuous exposure and time. We also stratified by types I and II endometrial cancer defined by histologic code and given the importance of stage and grade in endometrial cancer survival, we also performed analyses stratified by these factors. We tested for interaction by diabetes and race to assess the possibility of differential associations across these parameters. We performed an analysis limited to women who were part of the observational study to assess if participation in the clinical trial influenced the observed association. A two sided p-value <0.05 was considered statistically significant. All analyses were performed using SAS version 9.2 (SAS Institute, Cary, NC).

Table 1.

Characteristics of endometrial cancer patients in the WHI study by level of BMI (kg/m2) (N=983)

BMI (kg/m2) <25 25–<30 30–<35 35+ P valuea
N 314 271 212 186
Age at enrollment, mean (SD) 63.55 (7.22) 64.16 (6.89) 63.55 (6.68) 62.72 (6.48) 0.190
Years from enrollment to diagnosis, mean (SD) 5.39 (3.38) 5.32 (3.51) 5.72 (3.42) 5.76 (3.27) 0.335
Years from diagnosis to death or end of follow up, mean (SD) 5.71 (3.29) 5.63 (3.59) 5.57 (3.64) 5.41(3.30) 0.803
High school graduate, % 96.50 97.79 96.70 95.16 0.650
Race/ethnicity, % <0.001
 African American 1.59 1.48 4.72 12.90
 Non-Hispanic White 92.04 94.10 91.51 83.33
 Hispanic/Latino 1.59 1.85 1.89 1.61
 Other 4.14 2.58 2.89 2.15
Disease stage, % 0.577
 In Situ 0.00 0.74 0.47 0.54
 Local 85.67 84. 50 79.72 82.80
 Regional 12.10 10.70 15.57 13.98
 Distant 2.23 4.06 4.25 2.69
Age at menarche, % ≥12 yr old 83.44 76.38 73.58 74.19 0.022
Pregnancy (% ever) 87.54 87.04 83.96 88.17 0.583
Age at first birth, % 0.531
 Never to term 4.14 4.06 2. 36 2.15
 <20 6.05 6.27 8.02 10.75
 20–29 61.15 61.25 53.77 57.53
 30+ 8. 92 8.86 11.79 9.14
 Missing 19.75 19.56 24.06 20.43
OC use (% ever) 42.99 34.69 40.57 35.48 0.145
Hormone use at baseline (%) <0.001
 Never 15.92 28.41 41.04 60.22
 Past 13.69 23.99 26.89 20.97
 Current 69.11 46.13 31.60 16.67
 Missing 1.27 1.48 0.47 2.15
Smoke (% current) 4.78 4.06 7.55 3.76 0.257
Diabetes (% diagnosed) 1.59 4.06 9.00 11.29 <0.001
MVPA, mean (SD)b 11.41 (13.62) 9.99 (15.20) 7.42 (9.83) 6.09 (9.94) <0.001
a

P-values were calculated using the Kruskal Wallis test for continuous variables and the χ2 distribution for categorical variables

b

Moderate to vigorous physical activity (MVPA) was calculated as the sum of fast, very fast walking, and moderate and hard intensity recreational activities reported at baseline

Results

Among the 983 women included in analysis, BMI, physical activity and other characteristics were measured at baseline a median of 5.1 years (max 13.5 years) before diagnosis, and women were followed a median of 5.2 years (max 14.1 years) from diagnosis to death or end of follow up. Overweight or obese women tended to be African American (p<0.001), had higher rates of diabetes (p<0.001), menarche ≥age 12 (p=0.022) and lower moderate to vigorous intensity physical activity levels (p<0.001) (Table 1). Normal weight women were more likely to be using menopausal hormone therapy (any) at baseline compared to their overweight counterparts (p<0.001).

We observed a HR=1.85 (95% CI 1.19–2.88, p-trend=0.003) for all-cause mortality comparing women with a baseline BMI ≥35 kg/m2 to those with a BMI <25 (Table 2). For endometrial cancer-specific mortality, the HR=2.23 (95% CI 1.09–4.54, p-trend=0.017) comparing extreme BMI categories. For a 5-unit BMI increase the HR (95% CI) was 1.20 (1.08–1.33) all-cause mortality and 1.18 (1.01–1.38) for endometrial cancer-specific mortality.

Table 2.

Hazard ratios and 95% confidence intervals for pre-diagnosis body mass index (BMI) and endometrial cancer outcomes (n=983)

BMI (kg/m2) <25 25–<30 30–<35 35+ P trend Continuous BMIa
N HR N HR (95% CI) N HR (95% CI) N HR (95% CI)
Person-years 1786 1526 1180 1007
All-cause mortality
 Deaths 41 44 38 40
 Age adjusted 1.00 1.19 (0.78–1.83) 1.43 (0.92–2.22) 1.86 (1.20–2.88) 0.004 1.19 (1.07–1.32)
 Multivariable-adjustedb 1.00 1.21 (0.78–1.85) 1.57(1.00–2.45) 1.85 (1.19–2.88) 0.003 1.20 (1.08–1.33)
Endometrial cancer mortality
 Deaths 14 18 17 17
 Age adjusted 1.00 1.52 (0.76–3.06) 1.91 (0.94–3.87) 2.15 (1.06–4.37) 0.024 1.17 (0.99–1.37)
 Multivariable-adjustedb 1.00 1.54 (0.76–3.13) 2.06 (1.01–4.20) 2.23(1.09–4.54) 0.017 1.18 (1.01–1.38)
a

Continuous BMI was scaled per 5 unit (kg/m2) change.

b

Multivariable models were adjusted for age, tumor grade, tumor stage, and age at menarche (<12 years old, ≥12 years old, and time from baseline measures to endometrial cancer diagnosis (0–<3.5, 3.5–<7, 7–<10.5, 10.5+ years).

Although the HR for baseline moderate to vigorous intensity physical activity, adjusted for age only, suggested a lower risk of total death comparing some activity to none, after adjustment for BMI and other risk factors the association was no longer significant for all-cause mortality (HR=0.93, 95% CI 0.77–1.13) or endometrial cancer mortality (HR=1.05, 95% CI 0.79–1.38) comparing those who reported ≥11.26 MET h/wk to those who reported no moderate to vigorous physical activity (Table 3). Our MET calculation did not include average speed walking, but additional analyses including average walking did not change the association.

Table 3.

Hazard Ratios and 95% Confidence Intervals for pre-diagnosis moderate to vigorous intensity physical activity (MVPA)a and endometrial cancer outcomes (n=983)

0 MET hr/wk 0–<11.26 MET hr/wk 11.26+ MET hr/wk P trend

N HR N HR(95% CI) N HR(95% CI)
Person years 2038 1770 1691
All-cause mortality
 Deaths 74 45 44
 Age adjusted 1.00 0.73 (0.50–1.06) 0.88 (0.73–1.06) 0.142
 Age and BMI adjusted 1.00 0.80 (0.55–1.16) 0.93 (0.77–1.13) 0.418
 Multivariable-adjusted b 1.00 0.75 (0.51–1.10) 0.93 (0.77–1.13) 0.403
Endometrial cancer mortality
 Deaths 31 12 23
 Age adjusted 1.00 0.45 (0.23–0.88) 0.94 (0.72–1.23) 0.546
 Age and BMI adjusted 1.00 0.49 (0.25–0.95) 0.99 (0.75–1.31) 0.830
 Multivariable-adjusted b 1.00 0.51 (0.26–1.01) 1.05 (0.79–1.38) 0.872
a

MVPA was calculated as the sum of fast, very fast walking, and moderate and hard intensity recreational activities reported at baseline.

b

Multivariable models were adjusted for age, BMI, tumor grade, tumor stage, and age at menarche (<12 years old, ≥12 years old), and lag time from baseline measure to endometrial cancer diagnosis (0–<3.5, 3.5–<7, 7–<10.5, 10.5+ years).

When we stratified by tumor type we observed an all-cause mortality HR=1.20 (95% CI 1.07–1.35) for a 5-unit BMI increase among n=830 type I cases but no association among the n=127 type II cases (Table 4). For endometrial cancer-specific mortality the HR=1.17 (95% CI 0.98–1.40) for type I cases was suggestive of an association, although it was not statistically significant. We observed no association between BMI and endometrial cancer-specific mortality among type II cases. When we stratified the women with type I tumors by tumor grade, among women with type I well-differentiated and moderately differentiated tumors the all-cause mortality associations were not significant. Among women with type I poorly differentiated tumors, however, the all-cause mortality HR=1.36 (95% CI 1.09–1.69) per 5-unit BMI increase. In analyses stratified by tumor grade, the associations between BMI and endometrial cancer-specific mortality were not significant for women with well or moderately differentiated tumors, but a 5-unit BMI increase was associated with a HR=1.39 (95% CI 1.04–1.85) for women with poorly differentiated tumors. Type II tumors demonstrate heterogeneous characteristics and we had insufficient power to further subcategorize these women.

Table 4.

Associations between pre-diagnosis body mass index (kg/m2) and endometrial cancer outcomes, stratified by tumor type and grade

Deaths/Person-years Continuous BMIa
All-cause mortality
 Type I HR (95% CI)b 134/4614 1.20 (1.07–1.35)
  Well differentiated 33/1220 1.09 (0.81–1.45)
  Moderately differentiated 61/2127 1.14(0.97–1.34)
  Poorly differentiated 31/918 1.36(1.09–1.69)
 Type II HR (95% CI)b 22/727 1.05 (0.74–1.48)
Endometrial cancer mortality
 Type I HR (95% CI)b 51/4614 1.17 (0.98–1.40)
  Well differentiated 13/1220 1.19 (0. 79–1.80)
  Moderately differentiated 19/2127 0.99 (0.72–1.36)
  Poorly differentiated 16/918 1.39 (1.04–1.85)
 Type II HR (95% CI)b 12/727 1.10 (0.69–1.76)
a

Continuous BMI was scaled per 5 unit (kg/m2) change.

b

Multivariable models were adjusted for age, tumor stage, and age at menarche (<12 years old, ≥12 years old), and lag time from baseline measure to endometrial cancer diagnosis(0–<3.5, 3.5–<7, 7–<10.5, 10.5+ years).

In analyses restricted to the 805 women (137 deaths) with in-situ/localized disease we observed a HR=2.03 (95% CI 1.26–3.26) comparing severely obese to normal weight women. We had too few deaths to separately estimate HRs for women with regional/distant disease (26 deaths). In sensitivity analyses we restricted analyses to women without diabetes, and found that the association between BMI and higher mortality persisted (HR=1.78, 95% CI 1.11–2.86 comparing severely obese to normal weight women). We did not observe an interaction between BMI and physical activity, and the association between physical activity and mortality was similar when stratified by obesity (BMI ≥30 kg/m2) (data not shown). Analyses restricted to the 570 women in the OS showed a stronger association between BMI and mortality, while the association for physical activity and mortality remained null. An additional physical activity analysis including walking at an average/normal pace (median MET h/wk=11.5) showed similar results. Exclusion of women who were diagnosed within one year of the end of follow-up also did not alter results. Although we had additional exposure information at year 3 of follow-up, because there were only 283 women diagnosed with endometrial cancer and 54 deaths before year 3 we were unable to assess post-diagnosis BMI or physical activity.

Discussion

In this prospective analysis of BMI, physical activity and survival among women diagnosed with endometrial cancer, we found that higher BMI, measured a median of 5.1 years before diagnosis, was associated with higher all-cause and endometrial cancer-specific mortality. The association between BMI and overall mortality was most apparent in women with type I tumors, particularly among women with poorly differentiated tumors. Moderate to vigorous intensity physical activity was not associated with all-cause or endometrial cancer mortality after multivariate adjustment.

A recent systematic review identifying 12 published studies on BMI and mortality among endometrial cancer patients provided evidence consistent with our findings [3]. Four of the reviewed studies showed that higher BMI was associated with all-cause mortality among the women with endometrial cancer [1215]. Although some studies included in the review reported that higher BMI was associated with more favorable tumor characteristics [49, 1314], none showed an association between BMI and overall mortality after multivariate adjustment. Our results thus clarify previous clinical findings and given our larger sample size and prospective cohort setting, provide evidence of a more definitive role for BMI in endometrial cancer survival. Also, our finding on BMI and endometrial cancer-specific mortality provides a provocative suggestion of a disease specific impact of BMI on survival.

Our all-cause mortality results are similar to analyses conducted in large, prospective cohorts of individuals healthy at baseline such as the NIH-AARP study and the Cancer Prevention Study-II (CPS-II) that show an approximate two-fold increased risk of all-cause mortality comparing healthy women with a BMI ≥35 kg/m2 to normal weight, similarly aged women [2425]. Results for cancer specific-mortality in CPS-II were also similar, showing a nearly three-fold increased risk of endometrial cancer death observed comparing BMI 35–39.9 to BMI 18.5–24.9 kg/m2 in a cohort of women healthy at baseline [26].

Published studies report a protective association between physical activity and endometrial cancer incidence [1, 2728]. We did not observe a difference in survival associated with higher physical activity. This lack of association could be due to insufficient power, measurement error in physical activity reporting, or the single physical activity measure that could have changed over time. Still, as physical activity is an established component of weight loss and maintenance, it may be indirectly associated with survival through prevention of weight gain.

The geographic diversity of the cohort, prospective study design, and centralized adjudicated outcomes each contribute to study strengths. WHI staff performed standardized collection of measured height and weight, lessening measurement error from self report or lack of anthropometry protocols. Previous studies were based on data abstracted from charts for patients who sought treatment at specified hospitals [49, 11, 29], were identified through state registries [12], or participated in select treatment trials [13]. In comparison, our prospective cohort included women who were healthy at baseline. Sensitivity analyses limited to those who were enrolled in the observational study supported an even stronger role for BMI in mortality compared to women in the clinical trial, suggesting that clinical trial participation may have attenuated results.

Limitations of our study include that our analytic data was only from study baseline and BMI or physical activity levels could have changed over time. We thus accounted for time from baseline measure to diagnosis in models. To address concerns about length of follow up after diagnosis we performed additional analyses excluding those who were diagnosed < 1 year from end of follow-up. Other limitations of the study include the lack of treatment data. Nevertheless, stage system is the strongest prognostic parameter for women with endometrial carcinoma [23, 3031]. We excluded the 203 women missing data on tumor stage and grade from our analytic population as these characteristics may act as a proxy for treatment. Surgery (hysterectomy and bilateral salpingo-oophorectomy) is the most common treatment method when the cancer is confined to the uterus and primary radiation therapy without surgery is considered only for high stage tumors or under rare circumstances when women have a very high operative risk [32]. Among women with surgical stage I–II endometrial cancers adjuvant therapy or chemotherapy has not been shown to improve outcomes, thus lessening the significance of chemotherapy treatment data for assessing survival [22, 33]. High grade, type II endometrial cancers such as papillary serous carcinoma or clear cell carcinoma may involve more extensive surgery, followed by radiation and chemotherapy [32], and we analyzed these women separately to assess different patterns of survival.

Mechanisms linking BMI and physical activity to endometrial cancer survival are scarce in the published literature. Still, a recent study showed that cardiovascular disease is the leading cause of death among endometrial cancer survivors [34]. It is well established that obesity is associated with a higher risk of death from cardiovascular disease [24, 35], and that this risk can be attenuated through physical activity and weight loss [36]. Another concern among obese women is perioperative morbidity and postoperative complications [37], but studies of obese women with endometrial cancer do not indicate poorer surgical outcomes [5, 38]. Women with a high BMI have more adipose tissue, which leads to greater synthesis and bioavailability of endogenous sex steroids such as estrogens, androgens and progesterone [39]. High levels of these sex steroids have consistently been associated with increased endometrial cancer risk and may play a role in survival [40]. Weight loss and physical activity trials among breast and colon cancer survivors show improvements in insulin, sex hormones, growth factors, adipokines and inflammatory biomarkers, which are suggested intermediaries on the pathway to improved survival [41]. To our knowledge there have not been randomized controlled trials measuring biomarkers among endometrial cancer survivors.

In conclusion, our study showed a higher risk of death among endometrial cancer survivors with higher pre-diagnosis BMI, while reported pre-diagnosis physical activity was not associated with endometrial cancer survival. More research is needed to understand how endometrial cancer patients may differ from the general population, and whether an association exists between physical activity and mortality. As endometrial cancer survivors are a growing population in the U.S. and previous surveys show high rates of overweight and obesity among these women, it is important to better understand the role of obesity and physical activity in survival. Future studies should investigate both pre and post-diagnosis BMI and physical activity with overall and cause-specific mortality.

Research Highlights.

  • We examined pre-diagnosis body mass index and physical activity with mortality among women diagnosed with endometrial cancer.

  • Risk of all cause and endometrial cancer specific mortality was higher among heavier women.

  • No association was observed for pre-diagnosis physical activity and survival.

Acknowledgments

This work was supported in part by the training grant T32 CA105666. The WHI program is funded by the National Heart, Lung, and Blood Institute, National Institutes of Health, U.S. Department of Health and Human Services (through contracts HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, and HHSN271201100004C).

SHORT LIST OF WHI INVESTIGATORS

Program Office: (National Heart, Lung, and Blood Institute, Bethesda, Maryland) Jacques Rossouw, Shari Ludlam, Dale Burwen, Joan McGowan, Leslie Ford, and Nancy Geller

Clinical Coordinating Center: Clinical Coordinating Center: (Fred Hutchinson Cancer Research Center, Seattle, WA) Garnet Anderson, Ross Prentice, Andrea LaCroix, and Charles Kooperberg

Investigators and Academic Centers: (Brigham and Women’s Hospital, Harvard Medical School, Boston, MA) JoAnn E. Manson; (MedStar Health Research Institute/Howard University, Washington, DC) Barbara V. Howard; (Stanford Prevention Research Center, Stanford, CA) Marcia L. Stefanick; (The Ohio State University, Columbus, OH) Rebecca Jackson; (University of Arizona, Tucson/Phoenix, AZ) Cynthia A. Thomson; (University at Buffalo, Buffalo, NY) Jean Wactawski-Wende; (University of Florida, Gainesville/Jacksonville, FL) Marian Limacher; (University of Iowa, Iowa City/Davenport, IA) Robert Wallace; (University of Pittsburgh, Pittsburgh, PA) Lewis Kuller; (Wake Forest University School of Medicine, Winston-Salem, NC) Sally Shumaker

Women’s Health Initiative Memory Study: (Wake Forest University School of Medicine, Winston-Salem, NC) Sally Shumaker

For a list of all the investigators who have contributed to WHI science, please visit: https://cleo.whi.org/researchers/SitePages/Write%20a%20Paper.aspx

Footnotes

This work has not been submitted in part or whole for consideration elsewhere and no authors have conflict of interest to report.

No authors have conflict of interest to report.

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Contributor Information

Hannah Arem, Email: Hannah.arem@yale.edu.

Rowan Chlebowski, Email: rowanchlebowski@gmail.com.

Marcia L. Stefanick, Email: stefanick@stanford.edu.

Garnet Anderson, Email: garnet@whi.org.

Jean Wactawski-Wende, Email: jww@buffalo.edu.

Stacy Sims, Email: stacy.sims@gmail.com.

Marc J. Gunter, Email: m.gunter@imperial.ac.uk.

Melinda L. Irwin, Email: Melinda.irwin@yale.edu.

References

  • 1.Fader AN, Arriba LN, Frasure HE, von Gruenigen VE. Endometrial cancer and obesity: Epidemiology, biomarkers, prevention and survivorship. Gynecol Oncol. 2009;114:121–127. doi: 10.1016/j.ygyno.2009.03.039. [DOI] [PubMed] [Google Scholar]
  • 2.von Gruenigen VE, Waggoner SE, Frasure HE, Kavanagh MB, Janata JW, Rose PG, Courneya KS, Lerner E. Lifestyle challenges in endometrial cancer survivorship. Obstet Gynecol. 2011;117:93–100. doi: 10.1097/AOG.0b013e31820205b3. [DOI] [PubMed] [Google Scholar]
  • 3.Arem H, Irwin ML. Obesity and endometrial cancer survival: a systematic review. Int J Obes. 2012 doi: 10.1038/ijo.2012.94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Anderson B, Connor JP, Andrews JI, Davis CS, Buller RE, Sorosky JI, Benda JA. Obesity and prognosis in endometrial cancer. Am J Obstet Gynecol. 1996;174:1171–8. doi: 10.1016/s0002-9378(96)70659-2. discussion 1178–9. [DOI] [PubMed] [Google Scholar]
  • 5.Everett E, Tamimi H, Greer B, Swisher E, Paley P, Mandel L, Goff B. The effect of body mass index on clinical/pathologic features, surgical morbidity, and outcome in patients with endometrial cancer. Gynecol Oncol. 2003;90:150–157. doi: 10.1016/s0090-8258(03)00232-4. [DOI] [PubMed] [Google Scholar]
  • 6.Gates EJ, Hirschfield L, Matthews RP, Yap OWS. Body mass index as a prognostic factor in endometrioid adenocarcinoma of the endometrium. J Natl Med Assoc. 2006;98:1814. [PMC free article] [PubMed] [Google Scholar]
  • 7.Jeong NH, Lee JM, Lee JK, Kim JW, Cho CH, Kim SM, Seo SS, Park CY, Kim KT, Lee J. Role of body mass index as a risk and prognostic factor of endometrioid uterine cancer in Korean women. Gynecol Oncol. 2010;118:24–8. doi: 10.1016/j.ygyno.2010.03.001. [DOI] [PubMed] [Google Scholar]
  • 8.Munstedt K, Wagner M, Kullmer U, Hackethal A, Franke FE. Influence of body mass index on prognosis in gynecological malignancies. Cancer Causes Control. 2008;19:909–16. doi: 10.1007/s10552-008-9152-7. [DOI] [PubMed] [Google Scholar]
  • 9.Temkin SM, Pezzullo JC, Hellmann M, Lee YC, Abulafia O. Is body mass index an independent risk factor of survival among patients with endometrial cancer? Am J Clin Oncol. 2007;30:8–14. doi: 10.1097/01.coc.0000236047.42283.b8. [DOI] [PubMed] [Google Scholar]
  • 10.Kodama J, Seki N, Ojima Y, Nakamura K, Hongo A, Hiramatsu Y. Risk factors for early and late postoperative complications of patients with endometrial cancer. Eur J Obstet Gynecol Reprod Biol. 2006;124:222–6. doi: 10.1016/j.ejogrb.2005.06.027. [DOI] [PubMed] [Google Scholar]
  • 11.Studzinski Z, Zajewski W. Factors affecting the survival of 121 patients treated for endometrial carcinoma at a Polish hospital. Arch Gynecol Obstet. 2003;267:145–147. doi: 10.1007/s00404-001-0288-x. [DOI] [PubMed] [Google Scholar]
  • 12.Chia VM, Newcomb PA, Trentham-Dietz A, Hampton JM. Obesity, diabetes, and other factors in relation to survival after endometrial cancer diagnosis. Int J Gynecol Cancer. 2007;17:441–6. doi: 10.1111/j.1525-1438.2007.00790.x. [DOI] [PubMed] [Google Scholar]
  • 13.Modesitt SC, Tian C, Kryscio R, Thigpen JT, Randall ME, Gallion HH, Fleming GF. Impact of body mass index on treatment outcomes in endometrial cancer patients receiving doxorubicin and cisplatin: A Gynecologic Oncology Group study. Gynecol Oncol. 2007;105:59–65. doi: 10.1016/j.ygyno.2006.10.045. [DOI] [PubMed] [Google Scholar]
  • 14.Mauland KK, Trovik J, Wik E, Raeder MB, Njolstad TS, Stefansson IM, Oyan AM, Kalland KH, Bjorge T, Akslen LA, Salvesen HB. High BMI is significantly associated with positive progesterone receptor status and clinico-pathological markers for non-aggressive disease in endometrial cancer. Br J Cancer. 2011;104:921–6. doi: 10.1038/bjc.2011.46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.von Gruenigen VE, Tian C, Frasure H, Waggoner S, Keys H, Barakat RR. Treatment effects, disease recurrence, and survival in obese women with early endometrial carcinoma. Cancer. 2006;107:2786–2791. doi: 10.1002/cncr.22351. [DOI] [PubMed] [Google Scholar]
  • 16.Design of the Women’s Health Initiative clinical trial and observational study. The Women’s Health Initiative Study Group. Control Clin Trials. 1998;19:61–109. doi: 10.1016/s0197-2456(97)00078-0. [DOI] [PubMed] [Google Scholar]
  • 17.BMI Classification. Global Database on Body Mass Index. Geneva: World Health Organization; 2011. [Google Scholar]
  • 18.Matell MS, Jacoby J. Is there an optimal number of alternatives for Likert scale items? I. Reliability and validity. Educ Psychol Measure. 1971;31:657–674. [Google Scholar]
  • 19.Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O’Brien WL, Bassett DRJ, Schmitz KH, Emplaincourt PO, Jacobs DRJ, Leon AS. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9):S498–S516. doi: 10.1097/00005768-200009001-00009. [DOI] [PubMed] [Google Scholar]
  • 20.SEER Program: comparative staging guide for cancer. Washington, D.C: U.S. Department of Health and Human Services, Public Health Service, National Institutes of Health; 1993. pp. 93–3640. [Google Scholar]
  • 21.Curb JD, McTiernan A, Heckbert SR, Kooperberg C, Stanford J, Nevitt M, Johnson KC, Proulx-Burns L, Pastore L, Criqui M, Daugherty S. Outcomes ascertainment and adjudication methods in the Women’s Health Initiative. Ann Epidemiol. 2003;13:S122–8. doi: 10.1016/s1047-2797(03)00048-6. [DOI] [PubMed] [Google Scholar]
  • 22.Amant F, Moerman P, Neven P, Timmerman D, Van Limbergen E, Vergote I. Endometrial cancer. Lancet. 2005;366:491–505. doi: 10.1016/S0140-6736(05)67063-8. [DOI] [PubMed] [Google Scholar]
  • 23.Prat J. Prognostic parameters of endometrial carcinoma. Hum Pathol. 2004;35:649–662. doi: 10.1016/j.humpath.2004.02.007. [DOI] [PubMed] [Google Scholar]
  • 24.Adams KF, Schatzkin A, Harris TB, Kipnis V, Mouw T, Ballard-Barbash R, Hollenbeck A, Leitzmann MF. Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med. 2006;355:763–78. doi: 10.1056/NEJMoa055643. [DOI] [PubMed] [Google Scholar]
  • 25.Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath CW., Jr Body-mass index and mortality in a prospective cohort of U.S. adults. N Engl J Med. 1999;341:1097–105. doi: 10.1056/NEJM199910073411501. [DOI] [PubMed] [Google Scholar]
  • 26.Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ. Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N Engl J Med. 2003;348:1625–1638. doi: 10.1056/NEJMoa021423. [DOI] [PubMed] [Google Scholar]
  • 27.Cust AE, Armstrong BK, Friedenreich CM, Slimani N, Bauman A. Physical activity and endometrial cancer risk: a review of the current evidence, biologic mechanisms and the quality of physical activity assessment methods. Cancer Causes Control. 2007;18:243–58. doi: 10.1007/s10552-006-0094-7. [DOI] [PubMed] [Google Scholar]
  • 28.Voskuil DW, Monninkhof EM, Elias SG, Vlems FA, van Leeuwen FE. Physical activity and endometrial cancer risk, a systematic review of current evidence. Cancer Epidemiol Biomarkers Prev. 2007;16:639–48. doi: 10.1158/1055-9965.EPI-06-0742. [DOI] [PubMed] [Google Scholar]
  • 29.Kodama J, Seki N, Ojima Y, Nakamura K, Hongo A, Hiramatsu Y. Correlation of presenting symptoms and patient characteristics with endometrial cancer prognosis in Japanese women. Int J Gynaecol Obstet. 2005;91:151–6. doi: 10.1016/j.ijgo.2005.08.002. [DOI] [PubMed] [Google Scholar]
  • 30.Gal D, Recio FO, Zamurovic D. The new International Federation of Gynecology and Obstetrics surgical staging and survival rates in early endometrial carcinoma. Cancer. 1992;69:200–202. doi: 10.1002/1097-0142(19920101)69:1<200::aid-cncr2820690132>3.0.co;2-d. [DOI] [PubMed] [Google Scholar]
  • 31.Wolfson AH, Sightler SE, Markoe AM, Schwade JG, Averette HE, Ganjei P, Hilsenbeck SG. The prognostic significance of surgical staging for carcinoma of the endometrium. Gynecol Oncol. 1992;45:142–146. doi: 10.1016/0090-8258(92)90276-o. [DOI] [PubMed] [Google Scholar]
  • 32.Endometrial (Uterine) Cancer. Atlanta: American Cancer Society; 2011. Treatment options for endometrial cancer by stage. [Google Scholar]
  • 33.Obermair A, Manolitsas TP, Leung Y, Hammond IG, McCartney AJ. Total laparoscopic hysterectomy for endometrial cancer: patterns of recurrence and survival. Gynecol Oncol. 2004;92:789–93. doi: 10.1016/j.ygyno.2003.12.001. [DOI] [PubMed] [Google Scholar]
  • 34.Ward KK, Shah NR, Saenz CC, McHale MT, Alvarez EA, Plaxe SC. Cardiovascular disease is the leading cause of death among endometrial cancer patients. Gynecol Oncol. 2012;126:176–179. doi: 10.1016/j.ygyno.2012.04.013. [DOI] [PubMed] [Google Scholar]
  • 35.Flegal KM, Graubard BI, Williamson DF, Gail MH. Cause-specific excess deaths associated with underweight, overweight, and obesity. JAMA. 2007;298:2028–37. doi: 10.1001/jama.298.17.2028. [DOI] [PubMed] [Google Scholar]
  • 36.Van Gaal LF, Mertens IL, De Block CE. Mechanisms linking obesity with cardiovascular disease. Nature. 2006;444:875–80. doi: 10.1038/nature05487. [DOI] [PubMed] [Google Scholar]
  • 37.Barnes MN, Kilgore LC. Complete surgical staging of early endometrial adenocarcinoma: Optimizing patient outcomes. Semin Radiat Oncol. 2000;10:3–7. doi: 10.1016/s1053-4296(00)80014-4. [DOI] [PubMed] [Google Scholar]
  • 38.Pavelka JC, Ben-Shachar I, Fowler JM, Ramirez NC, Copeland LJ, Eaton LA, Manolitsas TP, Cohn DE. Morbid obesity and endometrial cancer: surgical, clinical, and pathologic outcomes in surgically managed patients. Gynecol Oncol. 2004;95:588–592. doi: 10.1016/j.ygyno.2004.07.047. [DOI] [PubMed] [Google Scholar]
  • 39.Calle EE, Kaaks R. Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms. Nat Rev Cancer. 2004;4:579–91. doi: 10.1038/nrc1408. [DOI] [PubMed] [Google Scholar]
  • 40.Kaaks R, Lukanova A, Kurzer MS. Obesity, endogenous hormones, and endometrial cancer risk: a synthetic review. Cancer Epidemiol Biomarkers Prev. 2002;11:1531–43. [PubMed] [Google Scholar]
  • 41.Irwin ML, Mayne ST. Impact of nutrition and exercise on cancer survival. The Cancer Journal. 2008;14:435. doi: 10.1097/PPO.0b013e31818daeee. [DOI] [PubMed] [Google Scholar]

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