Abstract
Purpose
Endometrial cancer (EC) is the most common gynecologic cancer in the United States. Over the last decade, the incidence rate has been increasing, with a larger increase among blacks. The aim of this study was to compare risk factors for EC in black and white women.
Methods
Data from 7 cohort and 4 case-control studies were pooled. Unconditional logistic regression was used to estimate adjusted odds ratios (OR) and 95% confidence intervals for each risk factor in blacks and whites separately.
Results
Data were pooled for 2,011 black women (516 cases and 1,495 controls) and 19,297 white women (5,693 cases and 13,604 controls). BMI ≥ 30 was associated with an approximate 3-fold increase in risk of EC in both black and white women (ORblack=2.93, 95% CI: 2.11, 4.07 and ORwhite=2.99, 95% CI: 2.74, 3.26). Diabetes was associated with a 30–40% increase in risk among both groups. Increasing parity was associated with decreasing risk of EC in blacks and whites (p-value=0.02 and <0.001, respectively). Current and former smoking was associated with decreased risk of EC among all women. Both black and white women who used oral contraceptives for 10+ years were also at reduced risk of EC (OR=0.49, 95% CI: 0.27, 0.88 and OR=0.69, 95% CI: 0.58, 0.83, respectively). Previous history of hypertension was not associated with EC risk in either group.
Conclusions
The major known risk factors for EC exert similar effects on black and white women. Differences in the incidence rates between the two populations may be due to differences in the prevalence of risk factors.
Keywords: endometrial neoplasms, race/ethnicity, obesity, parity, diabetes
Introduction
More than 49,000 women will be diagnosed with endometrial cancer (EC) in 2013, making it the most common gynecologic cancer in the United States, and incidence rates have been rising since 2002 .[1] Data from the Surveillance, Epidemiology and End Results program (2006–2010) report the age-adjusted incidence rate of EC is lower among black women than white women (22.2 and 25.1 cases per 100,000 women, respectively).[2] Among women aged 50 and older there is a similar trend, with 60.9 cases per 100,000 black women and 78.8 cases per 100,000 white women. [3, 4] However, when the greater prevalence of hysterectomies in black women is accounted for, the incidence among black women has exceeded that of white women since 2000.[3] It is estimated that by 2030, endometrial cancer will become the 6th most common cancer overall, and the 3rd most common among women.[5] In addition, five year survival after an EC diagnosis is lower for black women compared to white women at every stage of diagnosis, and these rates have not changed substantially over the last three decades.[2] Thus, exploring factors associated with EC may provide insight regarding racial differences that potentially impact incidence and ultimately, survival.
To a large extent, EC is a hormone-related cancer, with exposure to estrogen unopposed by progestin considered a major underlying mechanism.[6–8] It is well-established in both population- and hospital-based studies that tumor histology varies by racial group. Endometrioid tumors are the most common subtype of EC for all women, but black women have a higher proportion of non-endometrioid tumors, such as serous or clear cell cancers, which may be less hormonally-dependent.[9] As described by Setiawan et al, risk factors for endometrioid and non-endometroid subtypes appear to be similar.[10] The foremost risk factor for EC, obesity, is strongly related to circulating estrogen levels in postmenopausal women, and appears to increase risk for all subtypes.[10, 11]. Other hormone-related factors associated with increased EC risk include later age at menopause and nulliparity.[12, 13] Reduced risk is associated with use of oral contraceptives, cigarette smoking, and later age at last birth.[13–15] As the prevalence of some of these biologic and behavioral factors differ between white and black women in the US population, it is possible that the strength of association between risk factors and EC may also differ, but the small number of black women in individual case-control and cohort studies has precluded analyses of black-white differences. The aim of this study was to investigate risk factors for endometrial cancer in black and white women using a pooled analysis.
Materials and Methods
Participating studies
Data were obtained from 7 cohort studies and 4 case-control studies that participate in the Epidemiology of Endometrial Cancer Consortium (E2C2). This international consortium was formed in 2006 to provide a collaborative environment to address questions by pooling data from existing studies that would be underpowered in individual studies.[16] Studies with at least 10 black cases and 10 black controls were asked to provide data for this analysis (see Table 1). Race was self-reported for each study participant. Cohort studies were analyzed as nested case-control studies, with up to 4 controls selected per case frequency-matched based on year of birth, date of cohort entry, race, and study. Controls had an intact uterus at the time of study participation, and did not have a previous history of EC. The number of black women with EC in each study ranged from 12 to 128. Informed consent was obtained from participants by each original study, in accordance with each study’s institutional review board.
Table 1.
Characteristics of the E2C2 studies included in the pooled analysis
| Study | Location | Recruitment Period | Last Follow-up | Age Range at Study Entry | Blacks | Whites | ||
|---|---|---|---|---|---|---|---|---|
| Cases | Controls | Cases | Controls | |||||
| Cohort Studies | ||||||||
| American Association of Retired Persons Diet and Health Study | CA, FL, PA, NJ, NC, LA, Atlanta-GA, Detroit-MI | 1995–1996 | 50–71 | 81 | 234 | 1,652 | 4,525 | |
| California Teacher’s Study | California | 1995–1997 | 21–90+ | 12 | 39 | 697 | 2,171 | |
| Multiethnic Cohort Study | California, Hawaii | 1993–1996 | 45–75 | 128 | 399 | 171 | 552 | |
| New York University Women’s Health Study | New York | 1985–1991 | 34–65 | 23 | 76 | 217 | 673 | |
| Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial | 10 centers across the U.S. | 1993–2001 | 55–74 | 23 | 86 | 654 | 2,558 | |
| Southern Community Cohort Study | 12 Southern states, US | 2002–2009 | 40–79 | 32 | 111 | 19 | 67 | |
| Women’s Health Initiative | 24 US states, DC, and 40 centers | 1993–1998 | 50–79 | 53 | 212 | 53 | 212 | |
| Cohort Studies Total | 352 | 1,157 | 3,463 | 10,758 | ||||
| Case-control studies | ||||||||
| Bay Area Women’s Health Study | California | 1996–1999 | 35–79 | 44 | 52 | 424 | 411 | |
| Estrogen, Diet, Genetics and Endometrial Cancer Study | New Jersey | 2001–2005 | 23–97 | 39 | 20 | 417 | 422 | |
| Fred Hutchinson Cancer Research Center | Washington | 1994–2005 | 50–74 | 14 | 18 | 840 | 827 | |
| Women’s Insight and Shared Experience Study | Philadelphia | 1999–2002 | 50–79 | 67 | 248 | 549 | 1,186 | |
| Case-control studies total | 164 | 338 | 2,230 | 2,846 | ||||
| Total All Studies | 516 | 1,495 | 5,693 | 13,604 | ||||
Data collection
The individual, de-identified datasets were sent to the E2C2 data coordinating center at Memorial Sloan-Kettering Cancer Center for initial data harmonization and cleaning, with the exception of the data from the Women’s Health Initiative, which was sent to Wayne State University (WSU). All datasets were then pooled and data analysis took place at WSU. Any questions regarding data inconsistencies or missing variables were referred back to the site study coordinator and/or principal investigator. All information, including race, was collected by self-report, either at baseline (for the cohort studies) or at the time of diagnosis (for the case-control studies). Age was recorded at diagnosis (for cases in all studies), at interview (for controls in case-control studies) or at reference date (for controls in cohort studies).
Statistical methods
Race-specific odds ratios and 95% confidence intervals for the risk of EC were estimated using unconditional logistic regression. Available covariates of interest for this analysis were: age, body mass index, (BMI; wt(kg)/ht(m2)), education, smoking history, oral contraceptive (OC) use and duration, parity, age at first birth, age at menarche, self-reported diabetes and hypertension. Risk factors found to be statistically significant in the univariate analysis were included in adjusted models. Multivariable unconditional logistic regression models were adjusted for age, study site, BMI (<25, 25–29.9, ≥30), smoking (ever/never), OC use (ever/never), diabetes (yes/no), age at menarche (age ≤11, 12–13, ≥14 years), and parity (continuous to 5+), where appropriate. The interaction between each variable and race was evaluated using an interaction term in the adjusted model. For significant interactions, forest plots were created to illustrate the effect of the risk factor on EC risk by race and study. Due to evidence of heterogeneity between the studies (I2=51.2, Q=20.5 (10df), p=0.03), a random effects model was used to estimate a meta-OR. Analyses were completed using SAS Version 9.2 (Cary, North Carolina) and the R statistical package.[17]
Results
Descriptive characteristics of the 2,011 black women (516 cases and 1,495 controls) and 19,297 white women (5,693 cases and 13,604 controls) included in the study population are shown in Table 2, along with estimates of the risk of EC by race, adjusted for potential confounders. Obesity (BMI≥30) was associated with EC in both black and white women, compared to those with BMI<25 (ORblack=2.93, 95% CI: 2.11, 4.07, and ORwhite=2.99, 95% CI: 2.74, 3.26, respectively). Women who were overweight (BMI 25–29.9) were also at an increased risk of EC. In black and white women, past and current cigarette smoking was associated with reduced risk, as was oral contraceptive use of 10+ years, after adjustment. Increasing parity was associated with reduced risk of EC in both black women (p-value=0.02) and white women (p-value<0.001), and there was a significant interaction between parity and race (p-value=0.03, data not shown). No additional interactions by race were significant in the pooled analysis. Though increased age at first birth only showed a reduced risk for white women (p-value<0.001), there was a suggestion of a reduced risk in black women whose age at first birth was 30 or more years. White women who reported their age at menarche to be under 11 years of age were at a small increased risk of EC compared to those who were 12 or 13 years of age at menarche (OR=1.22, 95% CI: 1.11, 1.34) whereas individuals older than 14 at menarche were at a small decreased risk (OR=0.89, 95% CI: 0.82, 0.97). Risk estimates were similar but not statistically significant among black women. Diabetes was associated with similar increases in risk of EC among black women (OR=1.41, 95% CI: 1.07, 1.87) and white women (OR=1.30, 95% CI: 1.15, 1.46), after adjustment. A history of hypertension was not associated with increased risk of EC among black or white women. Histology, grade and stage at diagnosis among the cases are shown in Supplementary Table 1.
Table 2.
Associations between subject characteristics, risk factors, and endometrial cancer, by race.
| Blacks (n=2,011) | White (n=19,297) | |||||||
|---|---|---|---|---|---|---|---|---|
| Cases (n=516) | Controls (n=1,495) | ORa | (95% CI) | Cases (n=5,693) | Controls (n=13,604) | ORa | (95% CI) | |
| Age | ||||||||
| mean (std) | 64.8 (8.3) | 63.4 (7.3) | 64.8 (8.3) | 64.4 (7.6) | ||||
| BMI | ||||||||
| < 18.5 | 8 | 31 | Ref | 90 | 335 | Ref | ||
| 18.5–24.9 | 76 | 408 | 1950 | 6786 | ||||
| 25–29.9 | 129 | 485 | 1.37 | (0.97,1.94) | 1541 | 3983 | 1.43 | (1.32,1.56) |
| ≥ 30 | 300 | 568 | 2.93 | (2.11,4.07) | 2107 | 2498 | 2.99 | (2.74,3.26) |
| Unknown | 3 | 3 | - | - | 5 | 2 | - | - |
| p-trend | <.001 | <.001 | ||||||
| Education | ||||||||
| Up to HS graduate | 244 | 654 | Ref | 1624 | 3797 | Ref | ||
| Post-high school | 258 | 802 | 0.89 | (0.69,1.14) | 3993 | 9635 | 1.04 | (0.96,1.13) |
| Unknown | 14 | 39 | - | - | 76 | 172 | - | - |
| Smoking | ||||||||
| Never | 249 | 614 | ref | 2867 | 6482 | ref | ||
| Past | 156 | 529 | 0.72 | (0.56,0.93) | 1940 | 5003 | 0.85 | (0.79,0.91) |
| Current | 58 | 269 | 0.67 | (0.47,0.95) | 406 | 1559 | 0.63 | (0.56,0.72) |
| Unknown | 53 | 83 | - | - | 480 | 560 | - | - |
| Oral Contraception | ||||||||
| Never | 292 | 832 | ref | 3158 | 7334 | ref | ||
| Ever | 211 | 618 | 1.09 | (0.85,1.40) | 2472 | 6090 | 1.02 | (0.95,1.10) |
| Unknown | 13 | 45 | - | - | 63 | 180 | - | - |
| Never (up to 1 yr) | 340 | 924 | ref | 3285 | 7252 | ref | ||
| 1–4 years | 68 | 228 | 0.59 | (0.37,0.97) | 923 | 2116 | 1.03 | (0.88,1.20) |
| 5–9 years | 40 | 130 | 0.74 | (0.42,1.29) | 538 | 1413 | 0.95 | (0.80,1.13) |
| 10+ years | 29 | 132 | 0.49 | (0.27,0.88) | 389 | 1380 | 0.69 | (0.58,0.83) |
| Unknown | 39 | 81 | - | - | 558 | 1443 | - | - |
| p-trend | 0.06 | <.001 | ||||||
| Nulliparityb | ||||||||
| Nulliparous | 74 | 162 | 1.39 | (0.99,1.95) | 1249 | 2088 | 1.60 | (1.46,1.75) |
| 1 or more births | 432 | 1294 | ref | 4386 | 11390 | ref | ||
| Unknown | 10 | 39 | - | - | 58 | 126 | - | - |
| Parity | ||||||||
| Nulliparous | 74 | 162 | ref | 1249 | 2088 | ref | ||
| 1 | 75 | 203 | 0.86 | (0.56,1.32) | 622 | 1370 | 0.75 | (0.66,0.85) |
| 2 | 87 | 313 | 0.64 | (0.42,0.97) | 1641 | 3745 | 0.71 | (0.64,0.79) |
| 3 | 101 | 279 | 0.80 | (0.54,1.20) | 1345 | 3691 | 0.58 | (0.53,0.65) |
| 4 | 77 | 186 | 0.91 | (0.59,1.41) | 520 | 1630 | 0.50 | (0.43,0.57) |
| 5+ | 92 | 313 | 0.52 | (0.34,0.79) | 258 | 954 | 0.41 | (0.34,0.49) |
| Unknown | 10 | 39 | - | - | 58 | 126 | - | - |
| p trend | 0.02 | <.001 | ||||||
| Age at first birthc | ||||||||
| Never gave birth | 74 | 162 | - | - | 1249 | 2088 | - | - |
| Less than 20 | 189 | 551 | Ref | 605 | 1450 | Ref | ||
| 20 to 24 | 142 | 416 | 0.92 | (0.80,1.24) | 2131 | 5260 | 0.93 | (0.82,1.05) |
| 25 to 29 | 60 | 167 | 1.09 | (0.72,1.64) | 1178 | 3231 | 0.75 | (0.66,0.86) |
| 30+ years | 30 | 108 | 0.77 | (0.45,1.31) | 483 | 1447 | 0.62 | (0.53,0.73) |
| Unknown | 21 | 91 | - | - | 47 | 128 | - | - |
| p trend | 0.60 | <.001 | ||||||
| Age at menarche | ||||||||
| Less than 10 | 13 | 24 | 1.20 | (0.86,1.66) | 102 | 116 | 1.22 | (1.11,1.34) |
| 10 to 11 | 81 | 196 | 1047 | 1856 | ||||
| 12 to 13 | 242 | 698 | ref | 2915 | 6811 | ref | ||
| 14 to 15 | 151 | 493 | 0.94 | (0.73,1.22) | 1462 | 4377 | 0.89 | (0.82,0.97) |
| 16+ years | 21 | 57 | 136 | 362 | ||||
| Unknown | 8 | 27 | - | - | 31 | 82 | - | - |
| Diabetes | ||||||||
| No | 349 | 1189 | ref | 4416 | 12099 | ref | ||
| Yes | 119 | 240 | 1.41 | (1.07,1.87) | 760 | 881 | 1.30 | (1.15,1.46) |
| Unknown | 48 | 66 | - | - | 517 | 624 | - | - |
| Hypertension | ||||||||
| No | 133 | 413 | ref | 1937 | 4752 | ref | ||
| Yes | 219 | 614 | 0.88 | (0.66,1.17) | 1433 | 3260 | 0.99 | (0.90,1.08) |
| Unknown | 164 | 468 | - | - | 2323 | 5592 | - | - |
Adjusted for age, BMI, smoking, OC use, diabetes, study site, age at menarche, and parity as a continuous variable.
Adjusted for age, BMI, smoking, OC use, diabetes, study site, and age at menarche.
Excludes women who never gave birth.
Because of the race-parity interaction we observed, we show in Figure 1 forest plots for the association between parity (on the continuous scale) and endometrial cancer risk by race. Among black women, results from the individual studies vary, with the meta-OR=0.93 (95% CI: 0.86, 1.01) (Figure 1a). For white women, 10 of 11 studies show an inverse association with EC, with a meta-OR=0.83 (95% CI: 0.80, 0.87), suggesting that every birth reduces the risk of EC by 17% (Figure 1b).
Figure 1.
Forest plot of parity trend by race, a) black women, b) white women
Discussion
This pooled analysis offers the first estimates of risk associated with EC in black women for common risk factors. Overall, we found estimates to be of similar magnitude between black and white women; however, as described below, the prevalence of these risk factors vary by race in the US population.
Obesity is the strongest risk factor for EC among all women examined in this study. A potentially modifiable risk factor, obesity is linked with a number of cancers, but the strongest association is with EC. The previously reported relative risk of 1.6 per 5 kg/m2 incremental increase[18] is similar to the 3-fold increase among both black and white women we reported between women who were obese and those of normal weight. Overweight women are also at increased risk of EC, although the effect size is more modest. The racial disparity in obesity prevalence between black and white women has been widely reported.[19, 20] With a greater proportion of black women classified as obese, one would expect to see higher incidence of endometrial cancer among black women, as has been reported when the higher prevalence of hysterectomies is accounted for in the black population.[3]
Similar to our findings, the association between type II diabetes and EC has been reported in various studies, including a meta-analysis of 16 studies, reporting an approximate 2-fold increase in risk, after adjustment for BMI.[21] Diabetes is under-diagnosed in the general population, with a higher level of under-diagnosis among blacks, so it is likely our findings are conservative.[22] Prevalence of type II diabetes continues to rise in the United States, and remains relatively higher among black women.[23]
Increasing parity has been shown to be associated with a reduction in EC risk in white women. [24, 25] We see a similar association among black women; however, the pattern of decreasing risk with increasing parity was somewhat less strong for blacks. There are various potential mechanisms that could explain why nulliparous women are at greater risk of EC compared to parous women. Hormones produced during pregnancy, particularly high levels of progesterone, may inhibit estrogen-driven proliferation of the endometrium, resulting in a reduction of endometrial cancer risk.[26] It is also possible that the reduction of risk is due to the mechanical shedding of precancerous cells during delivery or during postpartum involution of the uterus.[27, 28] Data suggest nulliparity is increasing in the United States, with 18% of women ages 40–44 childless in 2008, compared to 10% of women of the same age in 1974.[29] The prevalence of childlessness increased more rapidly among black women than among white women during this time period (30% increase among blacks compared to 11% in whites). Overall, 17% of black women and 20% of white women were childless (at ages 40–44) in 2008.[29]
Both black and white women who reported former or current cigarette smoking were at reduced risk of EC compared to never smoking women. This association has been fairly consistent in various populations. [30–32] The biological mechanisms linking smoking to endogenous sex hormones underlying this reduction in risk are unclear, but may be associated with a reduction in circulating estrogen.[33, 34] Cigarette smoking appears to increase circulating progesterone levels, and in vitro studies suggest it increases expression of progesterone receptors in endometrial stromal cells. [35, 36] Ever smoking women have also been shown to have lower ages at natural menopause compared to never smokers, and to be thinner.[37, 38] In 2011, 15.5% of adult black women and 18.8% of adult white women reported current smoking.[39] Prevalence of current smoking has been consistently lower among black women compared to white women.[40]
Extended duration of oral contraceptive use was shown to provide a 40–50% reduction of EC risk in this pooled analysis. Similar to our findings, a meta-analysis of 11 studies published between 1980 and 1993 reported a more pronounced negative association as the duration of oral contraceptive use increased, with a relative risk of 0.28 for women reporting 12 or more years of use (p-value<0.0001).[41] A more recent meta-analysis of 9 studies published from January 1, 2000 and forward suggested a similar reduction of risk among ever users of oral contraceptives, but did not account for duration (OR=0.57, 95% CI: 0.43, 0.77).[42] Thus, despite differences in formulations over the decades, oral contraceptive use is consistently associated with decreased risk of EC. Various studies suggest black women are less likely to use oral contraceptives compared to their white counterparts; however, in our pooled analysis white and black controls reported ever use of oral contraceptives to a similar degree.[43–45]
Two other reproductive variables, age at first birth and age at menarche, were associated with risk of EC only among white women. The risk estimates were similar for black women, but were not statistically significant. The association between later age at first birth and decreased risk of EC has been reported in some populations, but not others.[25, 28, 46] Earlier age at menarche has been associated with increased risk in several populations, but these studies did not include an adequate number of black women for stratified analysis. [25, 47–49]
Our analyses did not include an assessment of the possible role of postmenopausal hormone therapy on EC in black or white women, because details regarding the formulation of hormone therapy were not collected for many of the studies. Estrogen-only hormone therapy, a well-established risk factor for EC, was used by less than 25% of the study population, and was less frequent among black women. When we excluded women reporting using estrogen-only hormone therapy, the results were essentially unchanged (see Supplementary Table 2).
Our study had other limitations. First, despite the inclusion of 11 studies with participants from across the United States, our sample size in some subgroup analyses was not sufficient to robustly estimate associations with EC. In particular, we were unable to examine race-stratified associations by histologic subtype, and thus our results apply primarily to type I cancers. Recent work utilizing the E2C2 data reported that common risk factors did not appear to vary substantially by subtype, with the exception of clear cell tumors. [10] Second, data harmonization across studies was challenging for certain variables due to the use of different questions. For example, we were unable to harmonize oral contraception duration in a manner that included a true “no exposure” category, as one of the studies collected duration as less than one year, and 20% of respondents who reported ever using oral contraception did not report duration. Thus, our multivariable models were adjusted for a dichotomous ever/never oral contraceptive use variable. Finally, there is the potential for recall bias for the case-control studies, which may lead to an overestimation of the effect, although estimates from cohort studies and case control studies were similar (data not shown). Lastly, all of variables in this pooled analysis were self-reported, which may have resulted in misclassification of exposures.
In conclusion, the results of our pooled analysis suggest that the major known factors associated with EC in white women—obesity, nulliparity, cigarette smoking, oral contraceptive use, and history of diabetes—also predispose to EC in black women. Increases in obesity, diabetes and nulliparity in both populations, but to a greater extent in blacks, may in part explain some of the racial differences seen in EC incidence both now and in the future.
Supplementary Material
Acknowledgments
Sources of Funding:
National Institute of Health American Association of Retired Persons Diet and Health Study: This research was supported by the Intramural Research Program of the National Institutes of Health (NIH), National Cancer Institute (NCI).
California Teachers Study: NCI grants R01 CA91019 and R01 CA77398. The collection of cancer incidence data was supported by the California Department of Public Health and the NCI Surveillance, Epidemiology and End Results Program (SEER) as part of the statewide cancer reporting program.
Multiethnic Cohort Study: NIH grants CA164973, CA054281 and CA063464.
New York University Women’s Health Study: NIH grants R01CA098661 and P30CA016087 and National Institute of Environmental Health Sciences grant ES000260.
Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial: Supported by individual contracts from the NCI to the University of Colorado Denver (NO1-CN-25514), Georgetown University (NO1-CN-25522), Pacific Health Research Institute (NO1-CN-25515), Henry Ford Health System (NO1-CN-25512), University of Minnesota (NO1-CN-25513), Washington University (NO1-CN-25516), University of Pittsburgh (NO1-CN-25511), University of Utah (NO1-CN-25524), Marshfield Clinic Research Foundation (NO1-CN-25518), University of Alabama at Birmingham (NO1-CN-75022), Westat, Inc. (NO1-CN-25476), University of California, Los Angeles (NO1-CN-25404).
Southern Community Cohort Study (SCCS): NIH grant R01 CA092447. Data on SCCS cancer cases used in this publication were provided by the Alabama Statewide Cancer Registry; Kentucky Cancer Registry, Lexington, KY; Tennessee Department of Health, Office of Cancer Surveillance; Florida Cancer Data System; North Carolina Central Cancer Registry, North Carolina Division of Public Health; Georgia Comprehensive Cancer Registry; Louisiana Tumor Registry; Mississippi Cancer Registry; South Carolina Central Cancer Registry; Virginia Department of Health, Virginia Cancer Registry; Arkansas Department of Health, Cancer Registry, 4815 W. Markham, Little Rock, AR 72205. The Arkansas Central Cancer Registry is fully funded by a grant from National Program of Cancer Registries, Centers for Disease Control and Prevention (CDC). Data on SCCS cancer cases from Mississippi were collected by the Mississippi Cancer Registry which participates in the National Program of Cancer Registries (NPCR) of the Centers for Disease Control and Prevention (CDC). The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the CDC or the Mississippi Cancer Registry.
Women’s Health Initiative: 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.
Bay Area Women’s Health Study: NIH grant R01 CA74877, and the U.S. Army Medical Research Program DAMD grant 17-96-607.
Estrogen, Diet, Genetics and Endometrial Cancer Study: NIH grant R01 CA83918.
Fred Hutchinson Cancer Research Center Studies: NIH grants R35 CA39779, R01 CA75977, R03 CA80636, N01 HD23166, K05 CA92002, R01 CA105212, R01 CA87538 and funds from the Fred Hutchinson Cancer Research Center.
Women’s Insight and Shared Experience Study: NIH grant P01 CA77596.
Appendix
The Women’s Health Initiative would also like to acknowledge the following:
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
References
- 1.American Cancer Society. Cancer Facts and Figures 2013. Atlanta: American Cancer Society; 2013. [Google Scholar]
- 2.Howlader NA, Krapcho M, Garshell J, Neyman N, Altekruse SF, Kosary CL, Yu M, Ruhl J, Tatalovich Z, Cho H, Mariotto A, Lewis DR, Chen HS, Feuer EJ, Cronin KA, editors. SEER Cancer Statistics Review, 1975–2010. Bethesda, MD: National Cancer Institute; 2013. [Google Scholar]
- 3.Jamison PM, Noone AM, Ries LA, Lee NC, Edwards BK. Trends in endometrial cancer incidence by race and histology with a correction for the prevalence of hysterectomy, SEER 1992 to 2008. Cancer Epidemiol Biomarkers Prev. 2013;22(2):233–241. doi: 10.1158/1055-9965.EPI-12-0996. [DOI] [PubMed] [Google Scholar]
- 4.Wartko P, Sherman ME, Yang HP, Felix AS, Brinton LA, Trabert B. Recent changes in endometrial cancer trends among menopausal-age U.S. women. Cancer epidemiology. 2013;37(4):374–377. doi: 10.1016/j.canep.2013.03.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Rahib L, Smith BD, Aizenberg R, Rosenzweig AB, Fleshman JM, Matrisian LM. Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States. Cancer Res. 2014;74(11):2913–2921. doi: 10.1158/0008-5472.CAN-14-0155. [DOI] [PubMed] [Google Scholar]
- 6.Fader AN, Arriba LN, Frasure HE, von Gruenigen VE. Endometrial cancer and obesity: epidemiology, biomarkers, prevention and survivorship. Gynecol Oncol. 2009;114(1):121–127. doi: 10.1016/j.ygyno.2009.03.039. [DOI] [PubMed] [Google Scholar]
- 7.Henderson BE, Ross R, Bernstein L. Estrogens as a cause of human cancer: the Richard and Hinda Rosenthal Foundation award lecture. Cancer Res. 1988;48(2):246–253. [PubMed] [Google Scholar]
- 8.Key TJ, Pike MC. The dose-effect relationship between ‘unopposed’ oestrogens and endometrial mitotic rate: its central role in explaining and predicting endometrial cancer risk. Br J Cancer. 1988;57(2):205–212. doi: 10.1038/bjc.1988.44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Long B, Liu FW, Bristow RE. Disparities in uterine cancer epidemiology, treatment, and survival among African Americans in the United States. Gynecol Oncol. 2013 doi: 10.1016/j.ygyno.2013.05.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Setiawan VW, Yang HP, Pike MC, McCann SE, Yu H, Xiang YB, Wolk A, Wentzensen N, Weiss NS, Webb PM, et al. Type I and II Endometrial Cancers: Have They Different Risk Factors? J Clin Oncol. 2013;31(20):2607–2618. doi: 10.1200/JCO.2012.48.2596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Madigan MP, Troisi R, Potischman N, Dorgan JF, Brinton LA, Hoover RN. Serum hormone levels in relation to reproductive and lifestyle factors in postmenopausal women (United States) Cancer Causes Control. 1998;9(2):199–207. doi: 10.1023/a:1008838412423. [DOI] [PubMed] [Google Scholar]
- 12.Schonfeld SJ, Hartge P, Pfeiffer RM, Freedman DM, Greenlee RT, Linet MS, Park Y, Schairer C, Visvanathan K, Lacey JV., Jr An aggregated analysis of hormonal factors and endometrial cancer risk by parity. Cancer. 2013;119(7):1393–1401. doi: 10.1002/cncr.27909. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Yang HP, Wentzensen N, Trabert B, Gierach GL, Felix AS, Gunter MJ, Hollenbeck A, Park Y, Sherman ME, Brinton LA. Endometrial cancer risk factors by 2 main histologic subtypes: the NIH-AARP Diet and Health Study. Am J Epidemiol. 2013;177(2):142–151. doi: 10.1093/aje/kws200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Setiawan VW, Pike MC, Kolonel LN, Nomura AM, Goodman MT, Henderson BE. Racial/Ethnic Differences in Endometrial Cancer Risk: The Multiethnic Cohort Study. Am J Epidemiol. 2006 doi: 10.1093/aje/kwk010. [DOI] [PubMed] [Google Scholar]
- 15.Setiawan VW, Pike MC, Karageorgi S, Deming SL, Anderson K, Bernstein L, Brinton LA, Cai H, Cerhan JR, Cozen W, et al. Age at last birth in relation to risk of endometrial cancer: pooled analysis in the epidemiology of endometrial cancer consortium. Am J Epidemiol. 2012;176(4):269–278. doi: 10.1093/aje/kws129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Olson SH, Chen C, De Vivo I, Doherty JA, Hartmuller V, Horn-Ross PL, Lacey JV, Jr, Lynch SM, Sansbury L, Setiawan VW, et al. Maximizing resources to study an uncommon cancer: E2C2--Epidemiology of Endometrial Cancer Consortium. Cancer Causes Control. 2009;20(4):491–496. doi: 10.1007/s10552-008-9290-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lumley T. rmeta: Meta-analysis R package. 2.16. 2012. [Google Scholar]
- 18.Renehan AG, Tyson M, Egger M, Heller RF, Zwahlen M. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet. 2008;371(9612):569–578. doi: 10.1016/S0140-6736(08)60269-X. [DOI] [PubMed] [Google Scholar]
- 19.Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010. Jama. 2012;307(5):491–497. doi: 10.1001/jama.2012.39. [DOI] [PubMed] [Google Scholar]
- 20.Grabner M. BMI trends, socioeconomic status, and the choice of dataset. Obesity facts. 2012;5 (1):112–126. doi: 10.1159/000337018. [DOI] [PubMed] [Google Scholar]
- 21.Friberg E, Orsini N, Mantzoros CS, Wolk A. Diabetes mellitus and risk of endometrial cancer: a meta-analysis. Diabetologia. 2007;50(7):1365–1374. doi: 10.1007/s00125-007-0681-5. [DOI] [PubMed] [Google Scholar]
- 22.Cowie CC, Rust KF, Byrd-Holt DD, Gregg EW, Ford ES, Geiss LS, Bainbridge KE, Fradkin JE. Prevalence of diabetes and high risk for diabetes using A1C criteria in the U.S. population in 1988–2006. Diabetes care. 2010;33(3):562–568. doi: 10.2337/dc09-1524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.National Center for Health Statistics, Division of Health Interview Statistics, data from the National Health Interview Survey. Age-Adjusted Percentage of Civilian, Noninstitutionalized Population with Diagnosed Diabetes, by Race and Sex. United States: 1980–2011. [Google Scholar]
- 24.Dossus L, Allen N, Kaaks R, Bakken K, Lund E, Tjonneland A, Olsen A, Overvad K, Clavel-Chapelon F, Fournier A, et al. Reproductive risk factors and endometrial cancer: the European Prospective Investigation into Cancer and Nutrition. Int J Cancer. 2010;127(2):442–451. doi: 10.1002/ijc.25050. [DOI] [PubMed] [Google Scholar]
- 25.Karageorgi S, Hankinson SE, Kraft P, De Vivo I. Reproductive factors and postmenopausal hormone use in relation to endometrial cancer risk in the Nurses’ Health Study cohort 1976–2004. Int J Cancer. 2010;126(1):208–216. doi: 10.1002/ijc.24672. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Kim JJ, Chapman-Davis E. Role of progesterone in endometrial cancer. Seminars in reproductive medicine. 2010;28(1):81–90. doi: 10.1055/s-0029-1242998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Albrektsen G, Heuch I, Tretli S, Kvale G. Is the risk of cancer of the corpus uteri reduced by a recent pregnancy? A prospective study of 765,756 Norwegian women. Int J Cancer. 1995;61 (4):485–490. doi: 10.1002/ijc.2910610410. [DOI] [PubMed] [Google Scholar]
- 28.Pfeiffer RM, Mitani A, Landgren O, Ekbom A, Kristinsson SY, Bjorkholm M, Biggar RJ, Brinton LA. Timing of births and endometrial cancer risk in Swedish women. Cancer Causes Control. 2009;20 (8):1441–1449. doi: 10.1007/s10552-009-9370-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Taylor P, Livingston G, Cohn D, Wang W, Velasco G, Hinze-Pifer R. A Social and Demographic Trends Report. Pew Research Center; 2010. Childlessness up among all women; down among women with advanced degrees; pp. 1–7. [Google Scholar]
- 30.Viswanathan AN, Feskanich D, De Vivo I, Hunter DJ, Barbieri RL, Rosner B, Colditz GA, Hankinson SE. Smoking and the risk of endometrial cancer: results from the Nurses’ Health Study. Int J Cancer. 2005;114(6):996–1001. doi: 10.1002/ijc.20821. [DOI] [PubMed] [Google Scholar]
- 31.Yang HP, Brinton LA, Platz EA, Lissowska J, Lacey JV, Jr, Sherman ME, Peplonska B, Garcia-Closas M. Active and passive cigarette smoking and the risk of endometrial cancer in Poland. Eur J Cancer. 2010;46(4):690–696. doi: 10.1016/j.ejca.2009.11.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Zhou B, Yang L, Sun Q, Cong R, Gu H, Tang N, Zhu H, Wang B. Cigarette smoking and the risk of endometrial cancer: a meta-analysis. The American journal of medicine. 2008;121(6):501–508. e503. doi: 10.1016/j.amjmed.2008.01.044. [DOI] [PubMed] [Google Scholar]
- 33.Brand JS, Chan MF, Dowsett M, Folkerd E, Wareham NJ, Luben RN, van der Schouw YT, Khaw KT. Cigarette smoking and endogenous sex hormones in postmenopausal women. J Clin Endocrinol Metab. 2011;96(10):3184–3192. doi: 10.1210/jc.2011-1165. [DOI] [PubMed] [Google Scholar]
- 34.Gu F, Caporaso NE, Schairer C, Fortner RT, Xu X, Hankinson SE, Eliassen AH, Ziegler RG. Urinary concentrations of estrogens and estrogen metabolites and smoking in caucasian women. Cancer Epidemiol Biomarkers Prev. 2013;22(1):58–68. doi: 10.1158/1055-9965.EPI-12-0909. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Longcope C, Johnston CC., Jr Androgen and estrogen dynamics in pre- and postmenopausal women: a comparison between smokers and nonsmokers. J Clin Endocrinol Metab. 1988;67 (2):379–383. doi: 10.1210/jcem-67-2-379. [DOI] [PubMed] [Google Scholar]
- 36.Zhou Y, Jorgensen EM, Gan Y, Taylor HS. Cigarette smoke increases progesterone receptor and homeobox A10 expression in human endometrium and endometrial cells: a potential role in the decreased prevalence of endometrial pathology in smokers. Biology of reproduction. 2011;84 (6):1242–1247. doi: 10.1095/biolreprod.110.087494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Audrain-McGovern J, Benowitz NL. Cigarette smoking, nicotine, and body weight. Clinical pharmacology and therapeutics. 2011;90(1):164–168. doi: 10.1038/clpt.2011.105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Sun L, Tan L, Yang F, Luo Y, Li X, Deng HW, Dvornyk V. Meta-analysis suggests that smoking is associated with an increased risk of early natural menopause. Menopause. 2012;19(2):126–132. doi: 10.1097/gme.0b013e318224f9ac. [DOI] [PubMed] [Google Scholar]
- 39.Agaku I, King B, Dube SR. Current cigarette smoking among adults--United States, 2011. MMWR. 2012;61(44):889–894. [PubMed] [Google Scholar]
- 40.United States Department of Health and Human Services. Chapter 2 Patterns of Tobacco Use Among Women and Girls. Atlanta (GA): Centers for Disease Control and Prevention (US); 2001. Women and Smoking: A Report of the Surgeon General. [Google Scholar]
- 41.Schlesselman JJ. Risk of endometrial cancer in relation to use of combined oral contraceptives. A practitioner’s guide to meta-analysis. Human reproduction (Oxford, England) 1997;12 (9):1851–1863. doi: 10.1093/humrep/12.9.1851. [DOI] [PubMed] [Google Scholar]
- 42.Gierisch JM, Coeytaux RR, Urrutia RP, Havrilesky LJ, Moorman PG, Lowery WJ, Dinan M, McBroom AJ, Hasselblad V, Sanders GD, et al. Oral contraceptive use and risk of breast, cervical, colorectal, and endometrial cancers: a systematic review. Cancer Epidemiol Biomarkers Prev. 2013;22(11):1931–1943. doi: 10.1158/1055-9965.EPI-13-0298. [DOI] [PubMed] [Google Scholar]
- 43.Dehlendorf C, Foster DG, de Bocanegra HT, Brindis C, Bradsberry M, Darney P. Race, ethnicity and differences in contraception among low-income women: methods received by Family PACT Clients, California, 2001–2007. Perspectives on sexual and reproductive health. 2011;43 (3):181–187. doi: 10.1363/4318111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Littlejohn KE. Hormonal contraceptive use and discontinuation because of dissatisfaction: differences by race and education. Demography. 2012;49(4):1433–1452. doi: 10.1007/s13524-012-0127-7. [DOI] [PubMed] [Google Scholar]
- 45.Piccinino LJ, Mosher WD. Trends in contraceptive use in the United States: 1982–1995. Family planning perspectives. 1998;30(1):4–10. 46. [PubMed] [Google Scholar]
- 46.Pocobelli G, Doherty JA, Voigt LF, Beresford SA, Hill DA, Chen C, Rossing MA, Holmes RS, Noor ZS, Weiss NS. Pregnancy history and risk of endometrial cancer. Epidemiology. 2011;22(5):638–645. doi: 10.1097/EDE.0b013e3182263018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Kvale G, Heuch I, Ursin G. Reproductive factors and risk of cancer of the uterine corpus: a prospective study. Cancer Res. 1988;48(21):6217–6221. [PubMed] [Google Scholar]
- 48.McPherson CP, Sellers TA, Potter JD, Bostick RM, Folsom AR. Reproductive factors and risk of endometrial cancer. The Iowa Women’s Health Study. Am J Epidemiol. 1996;143(12):1195–1202. doi: 10.1093/oxfordjournals.aje.a008707. [DOI] [PubMed] [Google Scholar]
- 49.Wernli KJ, Ray RM, Gao DL, De Roos AJ, Checkoway H, Thomas DB. Menstrual and reproductive factors in relation to risk of endometrial cancer in Chinese women. Cancer Causes Control. 2006;17(7):949–955. doi: 10.1007/s10552-006-0034-6. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

