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Annals of Translational Medicine logoLink to Annals of Translational Medicine
. 2020 Apr;8(7):461. doi: 10.21037/atm.2020.03.125

Aspirin use and endometrial cancer risk: a meta-analysis and systematic review

Yang Wang 1, Junda Zhao 2, Xing Chen 1, Feifei Zhang 1, Xin Li 1,✉
PMCID: PMC7210134  PMID: 32395505

Abstract

Background

The use of aspirin has been linked to a reduced risk of cancer at several sites, such as the breast, prostate, and colorectum. However, the evidence for this chemopreventive effect from aspirin use on endometrial cancer is conflicting, and whether an association exists is an open question.

Methods

After carrying out a database search of articles published up to December 2019, we identified 7 case-control studies and 11 cohort studies, including a total of 14,766 endometrial cancer cases. We pooled the odds ratios (ORs) in case-control studies and risk ratios (RRs) in cohort studies, and then conducted subgroup analysis based on factors such as the frequency and duration of aspirin use, and obesity.

Results

In the overall meta-analysis, we found a significant inverse association between any aspirin use and the risk of endometrial cancer both in case-control studied [pooled ORs =0.88, 95% confidence interval (CI): 0.78–0.98] and cohort studies (pooled RRs =0.86, 95% CI: 0.86–0.99). In the subgroup analysis, a negative association was observed between the maximal frequency of aspirin use and the endometrial cancer risk (pooled ORs/RRs: 0.82; 95% CI: 0.71–0.95), but no correlations were observed based on the longest duration of aspirin use or obesity.

Conclusions

Our results suggest that the use of aspirin was associated with a reduced risk of endometrial cancer, and the reduced risk was closely related to the high-frequency of use. Further randomized controlled trials (RCTs) are needed to confirm these findings.

Keywords: Aspirin use, endometrial cancer risk, meta-analysis

Introduction

Endometrial cancer is the most common cancer in the female reproductive system in the USA. Also, it is the fourth most common malignancy for women after breast, lung, and colorectal cancer (1). Obesity, tamoxifen, polycystic ovarian syndrome, and diabetes are all well-defined risk factors for endometrial cancer. These risk factors are closely related to unopposed estrogen and chronic inflammation. Estrogen, unopposed by progesterone, can stimulate cell proliferation and increase the risk of malignant transformation. Chronic inflammation can promote cell division, and induce DNA damage and mutations, which provokes the carcinogenesis (2,3). Furthermore, excess estrogens can induce a pro-inflammatory milieu in the endometrium and, in turn, this pro-inflammatory milieu can also directly increase estrogen production. Hence, inflammation may work in conjunction with or in addition to excess estrogen exposure in the development of endometrial cancer (2).

Aspirin, also known as acetylsalicylic acid, is one of the most widely used nonsteroidal anti-inflammatory drugs (NSAIDs) in the world. The mechanisms of the anti-inflammation and anti-platelet aggregation ability of aspirin is predominantly considered to be its irreversible inactivation of cyclooxygenase (COX) (4). Platelets play an essential role in inflammation through recruiting leucocytes by releasing many factors, including proteins (such as angiogenic and growth factors) and lipids (such as thromboxane), and adenosine diphosphate stored in granules. This platelet activation and the pro-inflammatory microenvironment are believed to contribute to tumorigenesis and cancer metastasis (5).

Therefore, in the current literature, aspirin has been gaining notable attention due to its tumor-preventive effects (6). There is increasing evidence suggesting there to be an association between aspirin use and reduced risk of several common cancers, particularly of gastrointestinal tract cancers (7). In vitro studies have shown that aspirin suppresses the proliferation and induces the apoptosis of endometrial cancer cell lines in a dose-dependent manner (8,9). Furthermore, the association between aspirin use and endometrial cancer risk has been examined in several observational epidemiological studies and meta-analyses (10-12). However, the inconsistent findings form these studies have rendered knowledge concerning the chemopreventive effect of aspirin for endometrial cancer unclear in the public eye. Given that no meta-analysis thus far has included all the relevant studies and considering the limitations of the analytical methods in some of the literature, we conducted our own review to clarify this ambiguity. We identified 7 case-control studies and 11 cohort studies after searching electronic databases for all the latest evidence, and then performed a meta-analysis and subsequent subgroup analysis based on the frequency and duration of aspirin use and obesity using a reliable method discussed below.

Methods

Literature search and study selection

We conducted a systematic literature search using the following electronic databases: PubMed, EMBASE, and Web of Science (last search: December 10, 2019). Controlled vocabularies and keywords were used in the search strategy (Supplementary), and we reviewed the reference lists of closely related articles to obtain more eligible articles. For the studies to be included in the analysis: (I) they needed to be a randomized controlled trial (RCT), case-control or cohort study; (II) they need to be evaluate the association between aspirin use and risk of endometrial cancer; and (III) the association needed to be presented as odds ratio (OR) or relative risk (RR) (including hazard ratio) with corresponding confidence interval (CI). Studies controlling for aspirin use in statistical models without numerically reporting effect measures or studies based on individuals with a predisposition for endometrial cancer were eliminated. The details of the study selection are presented in a flow chart (Figure 1). The ethics committee of the Obstetrics & Gynecology Hospital of Fudan University approved our study.

Figure 1.

Figure 1

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The flow chart of study identification and selection.

Data extraction and statistical analysis

In the process of study evaluation, we referred to the guideline of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (13) and the Newcastle-Ottawa Quality Assessment Scale for observational studies (14). Two authors independently selected studies, extracted data, and evaluated the quality of the studies. Any discrepancies were resolved by discussion between all authors. For each eligible study, we extracted key characteristics (e.g., study time, setting, measurement, study design, and adjusted confounders) (Tables 1 and 2). In the overall analysis, any use of aspirin was compared to non-use after pooled the risk estimates and corresponding 95% CIs. When more than one type of estimates was presented in the article, only the estimate adjusted for the most covariates was adopted. When the data of more than one exposure level of a category were available, we did not choose the result of the highest rank or the level with statistical significance like others, but instead calculated the corresponding estimates of the whole category using the method proposed by Hamling et al. (33). This method was used to combine estimates using the same reference category or the same set of controls, taking correlations between levels into account. Subsequently, sensitivity and subgroup analysis, restricted to the subgroup contained in ≥5 studies, were performed. In the sensitivity and subgroup analysis based on the longest duration of aspirin use, the maximum frequency of aspirin use, and obesity (BMI >30), we pooled the ORs and RRs together because of the low prevalence of endometrial cancer and the limited number of included studies (34).

Table 1. The characteristics of case-control studies.

Author, year Study time Number of cases/controls1 Population age2 (years) Setting Definition of aspirin use Adjusted variables Frequency of aspirin use Duration of aspirin use BMI3
Moysich KB, 2005 (15) 1986 427/427 66.2±11.7 Hospital-based Regular use: at least once a week for 6 months Age, religion, race, cigarette smoking, coffee consumption, education, number of hospitalizations 1–6 times/week;
≥7 times/week		 1–10 years; >10 years Usual BMI
Fortuny J, 2009 (16) 2001–2005 469/467 >78% (>55) Population-based At least 6 months Age, parity, BMI, OC use, education, smoking No data No data Ascertained at the reference date
Bodelon C, 2009 (17) 2003–2005 330/286 >75% (>55) Population-based ≥5 days/months for at least 6 months Age, locale, BMI, menopausal hormones use No data 0.5–9.9 years; ≥10 years Before diagnosis/reference date
Bosetti C, 2010 (18) 1993–2006 442/676 60.6±9.5 Hospital-based At least once a week for more than 6 months Age, BMI, hormonal and reproductive factors, study center, education, the period of the interview No data No data Obtained in baseline
Lu L, 2011 (19) 2003–2009 668/674 60.6±9.5 Population-based At least twice per week on average, over 3 months or more Age, parity, BMI, OC use, education, smoking No data No data No data
Neill AS, 2013 (20) 2005–2007 1,398/740 61.3±9.5 Population-based How often (on average over the last 5 years) they had taken aspirin Age, age at menarche, parity, duration of OC, HRT use, BMI, diabetes II, smoking Occasionally; ≤1 time/week; ≥2 times/week; half; tablet/day No data Obtained before diagnosis/recruitment
Brons N, 2015 (21) 2000–2009 5,382/
72,127		 >96% (>50) Hospital-based Ever user: ≥2 prescriptions on separate dates over the entire study period. Nonuse: (<2 prescriptions over the entire study period of the drug) Age, parity, HRT use, obesity, diabetes, chronic obstructive pulmonary disease, education No data <5 years; 5–10 years; >10 years No data
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1, includes all the eligible women in the studies; totals may, therefore, be higher than the total numbers of participants related to aspirin use; 2, presents as mean (± standard deviation), percentage, or range; 3, the timing of BMI evaluation. BMI, body mass index; OC, oral contraceptive; HRT, hormonal replacement therapy.

Table 2. The characteristics of cohort studies.

Author, year Study time Number of cases/total1 Population age2 (years) Setting Definition of aspirin use Adjusted variables Years of
follow up		 Frequency of aspirin use Duration of aspirin use BMI3
Rosenberg L, 1995 (22) 1995–2010 132/660 No data The Black Women’s Health Study Do you currently take at least 3 days a week? (yes/no) (updated every 2 years) Age, parity, BMI, OC use, education, smoking No data No data No data No data
Prorok PC, 2000 (23) 1993–2009 668/3,342 55–74 The Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial During the last 12 months have you regularly used it…? Age, parity, BMI, OC use, education, smoking At least
13 years		 No data No data No data
Lacey JV Jr, 2005 (24) 1979–1989 541/30,379 57.2 (mean) The National Cancer Institute Breast Cancer Detection Demonstration Project At least once a week for a year Age, parity, BMI, OC use, education, smoking 13.0 years (average) No data No data Based on the last screening visit
Viswanathan AN, 2008 (25) 1998–2004 747/82,971 55.1±7.2 A cohort of registered nurses At least 1 tablet/week or 1 day/week BMI, age at menopause, age at menarche, smoking, OC use, HRT, parity, hypertension, diabetes 24 years 1 day/week; 2–3 days/week;
4–5 days/week; 6–7 days/week		 <2 years; 2–10 years; >10 yeas Calculated from height determined in 1976 and from the updated report of current weight
Danforth KN, 2009 (26) 1996–2003 576/72,524 62.5±5.5 The NIH-AARP Diet and Health Study Take aspirin during the last 12 months Race, age at menarche, age at menopause, HRT, parity, OC use, smoking, BMI, physical activity, family history of breast cancer, a personal history of heart disease, high blood pressure or diabetes 6.7 years (average) <2 times/month; 2–3 times/month; 1–2 times/week;
3–4 times/week; 5–6 times/week; daily; ≥2 times/day		 No data Obtained from baseline questionnaires
Prizment AE, 2010 (27) 1992–2004 311/17,697 67.2 (mean) The Iowa Women’s Health Study “How often do you take aspirin?” Age, BMI, alcohol use, age at menarche, OC and HRT use, history of diabetes and hypertension Over
15 years		 <1 time/week; 2–5 times/week; ≥6 times/week No data Obtained from baseline questionnaires and was updated once in 1992
Setiawan VW,
2012 (28)		 1993–2008 620/64,828 58.8 (mean) A multiethnic cohort ≥2 times/week for at least 1 month Age, race, age at menarche, OC use, HRT, parity 13.3 years (average) No data ≤1 year;
2–5 years; ≥6 years		 Obtained from baseline questionnaires
Yang HP 2013 (29) 1995–2006 1,191/114,409 84% (>55) The NIH-AARP Diet and Health Study During the last 12 months Age, parity, BMI, OC use, education, smoking No data No data No data No data
Brasky TM, 2013 (30) 2000–2010 262/22,268 77% (>55) The VITamins and Lifestyle Cohort 1 day/week for ≥1 year in the past 10 years Age, race, education, BMI, smoking, alcohol consumption, age at menarche, age at menopause, parity, HRT, OC use, oophorectomy, family history of uterine cancer, family history of ovarian cancer, history of diabetes 9 years (median) No data No data Obtained from baseline questionnaires
Brasky TM, 2014 (31) 1993–1998 774/129,013 81% (>55) The Women’s Health Initiative Inconsistent use: use at baseline or year 3 only; consistent use: use at both baseline and year 3 Age, observational study enrollment, hormone therapy, diet modification, calcium/vitamin D trial enrollment, US region, education, ethnicity, height, BMI, physical activity, alcohol consumption, smoking, fruit and vegetable consumption, red meat consumption, family histories of breast cancer, cervical cancer, endometrial cancer, and colorectal cancer; screening for: breast cancer, colon cancer, and cervical cancer; age at menarche, age at menopause, gravidity, age at first birth, duration of estrogen therapy, duration of combined postmenopausal hormone therapy, hysterectomy status, multivitamin use, use of antihypertensive medication, history of coronary heart disease, use of cholesterol-lowering medication, history of arthritis, history of migraine, history of ulcer, and other NSAID use 9.7 years (median) (only consistent use)
<5 years; ≥5 years		 No data Obtained from baseline questionnaires
Roswall N, 2017 (32) 2006–2012 141/703 40 (mean) The Swedish Women’s Lifestyle and Health cohort Linkage to prescribing data Age, parity, body mass index, OC use, highest levels of education, smoking 12 years No data No data Obtained from baseline questionnaires and the follow-up questionnaire 12 years later
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1, includes all the eligible women in the studies; totals may, therefore, be higher than the total numbers of participants related to aspirin use; 2, presents as mean (± standard deviation), percentage or range; 3, the timing of BMI evaluation. BMI, body mass index; OC, oral contraceptive; HRT, hormonal replacement therapy.

Using the random effects model, we pooled the ORs (case-control studies) and RRs (cohort studies), respectively in the overall analysis, and merged the ORs and RRs in the sensitivity and subgroup analysis. Cochrane Q test was used to assess the statistical heterogeneity in the meta-analysis. We rated the statistical heterogeneity as substantial if the I2 was >50.0% and P was >0.05. To investigate the publication bias, we first visually inspected funnel plots for obvious asymmetry and then performed a quantitative assessment using the Egger test (35). The existence of publication bias was indicated by a P values of less than 5%. All statistical analyses were conducted in Stata 15.0 (StataCorp, LLP, College Station, TX, USA).

Results

After searching the electronic databases, evaluating the abstracts, and reviewing the full-text of some of the key articles, we finally identified 7 case-control studies (15-21) and 11 cohort studies (22-32) but no eligible RCTs. In 5 of these studies (22-24,29,32), the data of the association between aspirin use and endometrial cancer risk were not provided in the original articles but were published and pooled in one study of the Epidemiology of Endometrial Cancer Consortium (E2C2) (12), in which all cohort studies are analyzed as nested case-control studies. Because nested case-control studies possessed more powerful statistical efficiency than that of case-control studies and, to some extent, indicated a causal relationship as cohort studies, we pooled the data of these 5 nested case-control-analyzed studies and other cohort studies together. Also, we adopted the data of 1 case-control study from E2C2, because it had more adjusted variables than that of the original study (16).

Study characteristics

The included studies involved a total of 14,766 endometrial cancer cases and were conducted within an extended period [1979–2012]. The majority of studies conducted were from the USA, with one from Italy (18), one from Australia (20), one from Denmark (21), and one from in Sweden (32). In these studies, almost all the exposure assessments, including medication use, were obtained through interviews or questionnaires; the exceptions were the Danish study (21) and the Swedish study (32), both of which used the national registration system to acquire information about aspirin use. There was a clear heterogeneity in definitions of aspirin use, and the frequency and the duration of aspirin use. The concise characteristics of included studies are summarized in Tables 1 and 2. Although many studies tried to assess the role of both aspirin use and non-aspirin NSAID use in the prevention of endometrial cancer, we focused our interest in the former due to the diverse types of the latter.

Overall analysis

Results of the general analysis for any aspirin use versus non-use are presented in Figure 2. The data shows that there was no substantial heterogeneity among the studies (I2<50%, P>5%) but an inverse association between aspirin use and endometrial cancer risk was demonstrated in both case-control studies (pooled ORs =0.88, 95% CI: 0.78–0.98) and cohort studies (pooled RRs =0.86, 95% CI: 0.86–0.99). Funnel plots and the Egger test did not show significant publication bias (P=0.092 for case-control studies and P=0.069 for cohort studies, Figure S1). When we pooled the data of the case-control studies and cohort studies together, the negative relationship between aspirin use and endometrial cancer risk remained (pooled RRs & ORs =0.92, 95% CI: 0.88–0.97). However, publication bias was noticed using the Egger test (P<0.05, data not shown).

Figure 2.

Figure 2

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Forest plot showing adjusted estimates (OR or RR) and 95% CIs for the association between aspirin use and risk of endometrial cancer in case-control and cohort studies using a random effects model. Gray squares and horizontal lines represent study-specific estimates and 95% CI. The size of the square indicates the study weight. Diamonds are pooled estimates (center) and 95% confidence intervals (width) using a random effects analysis. I2, estimate for the proportion of variability between studies that is due to inter-study heterogeneity; P value was calculated by Chi-square test of the Cochrane Q statistic. OR, odds ratio; RR, relative risk; CI, confidence interval.

Subgroup and sensitivity analysis

In the subgroup and sensitivity analysis, we pooled the data of case-control studies and cohort studies together and evaluated the effects of the highest frequency and the longest duration of aspirin use and obesity on the association of aspirin use and endometrial cancer risk. The results indicate that the longest duration of aspirin use and obese women who use aspirin did not exhibit a reduced endometrial cancer risk (pooled RRs & ORs: 1.03, 95% CI: 0.91–1.17 and pooled RRs & ORs: 0.84, 95% CI: 0.69–1.03, respectively; Figure 3A,B). However, the longest frequency of aspirin use was linked to reduce the risk of endometrial cancer (pooled RRs & ORs: 0.82, 95% CI: 0.71–0.95; Figure 3C) without significant publication bias (P=0.16, Figure S2).

Figure 3.

Figure 3

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Forest plots of the sensitivity and subgroup analysis based on the longest duration of aspirin use (A), obesity (B) and the maximal frequency of aspirin use (C).

Discussion

Based on the overall meta-analysis of 7 case-control studies and 11 cohort studies, we observed that aspirin use was statistically associated with 12% reduction of endometrial cancer risk in the case-control studies (pooled ORs: 0.88, 95% CI: 0.78–0.98). Correspondingly, there was an 8% reduced risk in the cohort studies (pool RRs: 0.92, 95% CI: 0.86–0.99), which was similar to the results of Zhang et al.’s study (11), which included 6 case-control studies and 6 cohort studies (pooled RRs & ORs: 0.93, 95% CI: 0.88–0.99). These results were different to the statistically non-significant result of Verdoodt et al. which contained 6 case-control studies and 7 cohort studies (pooled ORs: 0.89, 95% CI: 0.79–1.01 and pooled RRs: 0.92, 95% CI: 0.84–1.00) (10). Compared with the borderline inverse association in Webb et al.’s studies in 2019, which analyzed 5 case-control studies and 7 cohort studies (pooled ORs: 0.85, 95% CI: 0.79–1.00 and pooled RRs: 0.93, 95% CI: 0.88–1.05; overall: 0.93, 95% CI: 0.86–1.00) (12), the present meta-analysis, include the largest number of both case-control studies (7) and cohort studies (11), and demonstrated a negative association between aspirin use and endometrial cancer risk.

Also, one study (36) pooled in the meta-analysis of both Verdoodt et al. and Zhang et al. was excluded from our analysis because the authors merely evaluated the association of aspirin use and all forms of cancers in uterine body. In Danforth et al.’s and Brasky et al.’s cohort studies, the estimations were divided into inconsistent use and consistent use groups while only the RRs of current aspirin use were pooled into the meta-analysis of both the studies of Verdoodt et al. (10) and Zhang et al. (11). Nevertheless, we conducted the analysis based on the comparison of general aspirin use with non-use through the method provided by Hamling et al. (33), which might have potentially improved the reliability of our meta-analysis. Furthermore, in the meta-analysis of Verdoodt et al. and Zhang et al., some subgroup and sensitivity analyses were composed of too few studies (≤3), and some analyses were based on the risk estimation of a single level of a category rather than the whole. To decrease the possible biases, we only pooled the subgroups incorporated in the analysis of ≥5 studies and conducted the sensitivity and subgroup analysis according to general OR or RR of one category as far as possible. In the present meta-analysis, we found that there was no significant influence of the longest duration of aspirin on endometrial cancer risk and that obese women who used aspirin did not exhibit significant reduced endometrial cancer risk (pooled RRs & ORs: 1.03, 95% CI: 0.91–1.17 and pooled RRs & ORs: 0.84, 95% CI: 0.69–1.03, respectively; Figure 3A,B). However, we could observe a statistically significant reduced risk based on the maximum frequency of aspirin use (pooled RRs & ORs: 0.82, 95% CI: 0.71–0.95; Figure 3C). Furthermore, similar to any other meta-analysis, the definitions of aspirin use were heterogeneous, while in our meta-analysis the statistical significance was marginal. Therefore, the small reduction in risk should be interpreted cautiously, especially when applying conclusions to a clinical situation.

It is acceptable that the more frequently the medicine is taken, the longer the effective concentration of the drug will remain, and this is essential to exerting a pharmacological effect. In this sense, it may not be surprising to notice that frequency rather than the duration of aspirin use was more closely related to endometrial cancer prevention. Also, it is reasonable to presume that aspirin use in obese women, who were in a chronic low-grade inflammatory state, could decrease the endometrial cancer risk as demonstrated in the meta-analysis of Zhang et al. (11) (pooled RRs & ORs: 0.83, 95% CI: 0.69–0.99) and Webb et al. (pooled RRs & ORs: 0.86, 95% CI: 0.76–0.97) (12). However, we failed to confirm this assumption (pooled RRs & ORs: 0.84, 95% CI: 0.69–1.03). This may be partly due to the possible heterogeneity and the limited number of our included studies (I2=0.482, Figure 3B).

There is more clinical data available for low-dose aspirin use than for regular-dose, because of the wide use of low-dose aspirin in the prevention and treatment of cardiovascular disease. However, it is known that low-dose and regular-dose aspirin have different physiologic effects (37). Among the studies in our meta-analysis, only 2 pieces of research clearly defined the dose of aspirin use (21,30); therefore, we pooled the data of aspirin use together regardless of the dosage and could not do a stratification analysis based on dosage alone. This might have partly contributed to the marginal effect of aspirin use, as shown in our results (Figure 2). Also, it is understandable and has been confirmed that the emergence of protective effects of aspirin on cancer may require a prolonged duration of use range from 5 years to 20 years (8,38,39). Our results, however, indicated that the longest duration of aspirin use (at least ≥5 years) did not decrease the endometrial cancer risk (1.03, 95% CI: 0.91–1.17). The reason for this lack of effect was unclear. One hypothesis is that the small number of users in each longest duration subgroup might have masked the potential beneficial effects. As a result, further investigation to evaluate the duration, frequency, and dose of aspirin use on the occurrence of endometrial cancer is warranted.

Potential mechanisms through which aspirin exerts anti-cancer action are subject to active investigations. In the development of cancer, inflammation has been proven to be critically involved. COX is the limiting enzyme in the production of pro-inflammatory cytokines. Therefore, it is reasonable to deduce that aspirin may exert an anticancer effect via inhibition of COX. One of the most accepted anti-cancer mechanisms of aspirin is through COX-2/PGE2 inhibition. It is shown that PGE2 can promote endometrial tumorigenesis by enhancing small ubiquitin-related modifier-1 activity and inactivating the tuberin (40,41). Also, PGE2 can stimulate aromatase expression and thereby increase estrogen production (42).

Nevertheless, excess estrogen is a well-known risk factor for endometrial cancer in obesity or post-menopausal women. Therefore, aspirin may reduce estrogen biosynthesis via the inhibition of the COX-2/PGE2 pathway and provide a potential protective mechanism. On the other hand, it has been suggested that inhibition of platelet COX-1 activity contributes to the chemopreventive effects of aspirin in colorectal cancer (43,44), and low-dose aspirin can reduce 55% systemic basal PGE2 biosynthesis in healthy females (45). Therefore, the platelet activation induced by chronic inflammation may be blocked via the inhibition of COX-1 by aspirin use, which is likely to slow down the oncogenesis of endometrial cancer. However, these notions require confirmation through further study.

Recently, emerging evidence has demonstrated that aspirin use not only decreases the risk of cancer but also improves the survival of cancer patients (46). However, for aspirin use and the survival of endometrial cancer, the evidence is limited and the conclusions are inconsistent. In a multicenter retrospective study, the result suggested that low-dose aspirin use improved the survival outcomes of women with endometrial cancer (47). In contrast, a population-based cohort study and a nationwide study found no significant associations between aspirin use and endometrial cancer survival (48,49). In another large cohort study, aspirin use for >10 years showed an approximately two-fold increased risk of type II endometrial cancer-specific mortality (50). The reason for these contradictions is elusive. Different populations and tumor characteristics in these studies may account for this confusion. More investigations should be done before convincing conclusions can be made.

Our analysis has some methodological strengths. First, we incorporated the current largest number of studies after searching the databases and reading the references of core articles. We included 5 studies (22-24,29,32) that had not provided the data about aspirin use and endometrial cancer risk in original articles but these data were included in a recent high-quality meta-analysis (12). Meanwhile, we excluded 1 inappropriate study included in the previous review (11). Second, when a group contained several levels of a single category, we calculated the entirety of the estimation using a novel and reliable method introduced by Hamling et al. (33), instead of adopting the significant or partial result from one level. It might have helped to reduce favorable bias. Therefore, to some extent, the present studies may be more comprehensive and reliable.

The limitations present in our study are mainly due to the nature of observational studies. First, in general, observational studies may be more prone to having selection and recall bias, and some methodological heterogeneities inevitably exist. For instance, the definition of aspirin use, frequency, and duration of aspirin use are different across studies. Second, some critical parameters, such as body mass index and patterns of aspirin use change during the follow-up period and few studies have attempted to tackle these defects in analyses. Third, although the ORs of case-control studies and RRs of cohort studies could be pooled together statistically due to the rare incidence of endometrial cancer in the general population, this might have distorted the real relationship. However, most of the participants in the included studies were postmenopausal women (Tables 1 and 2), which is likely to have masked the beneficial effect in some studies and undermined our ability to discover the salutary effect. Last but not least, we included no RCTs, and these are highly weighted types of research in evidence-based medicine.

In conclusion, we observed a reduced risk of endometrial association with aspirin use. The association was statistically significant in the maximal frequency of aspirin use but not in the longest duration of aspirin use or obese women. However, as always, extrapolating this result to clinical application should done with caution, and more relevant RCTs should be conducted in the future.

Supplementary

The article’s supplementary files as

atm-08-07-461-coif.pdf (114.8KB, pdf)
DOI: 10.21037/atm.2020.03.125

Acknowledgments

Funding: This work was supported by the Shanghai Committee of Science and Technology, China (SCST 15411964700), and the National Natural Science Foundation of China (NSFC 81572555).

Supplementary

Search strategy

PubMed

("Aspirin" [Mesh] OR "Aspirin" [tw]) AND ("Uterus"[MeSH] OR Endometri* OR Uteri* OR "uterus" [tw]) AND ("Neoplasms"[Mesh] OR Neoplas* OR "Tumor" OR "Tumour" OR "Cancer" OR Carcinogen* OR Tumorigen* OR Oncogen* OR sarcoma* OR malignan* OR adenocarcinoma* OR "tumors" [tw] OR "tumours" [tw] OR "cancers" [tw])

Web of Science

TS = ((neoplas* OR "tumor" OR "tumour" OR "cancer" OR carcinoma* OR sarcoma* OR adenocarcinoma* OR adenosarcoma*) AND (uteri* OR "uterus" OR endometri*) AND ("Aspirin"))

Embase

('neoplasm'/exp OR neoplas* OR 'tumor' OR 'tumour' OR 'cancer' OR carcinoma* OR sarcoma* OR adenocarcinoma* OR adenosarcoma*) AND ('uterus'/exp OR uteri* OR 'uterus' OR endometri*) AND ('aspirin'/exp OR 'aspirin')

Figure S1.

Figure S1

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Publication bias evaluation using funnel plot (A) and Egger test (B and C). The Egger test is a quantitative analysis of the funnel plot asymmetry. There is considered to be no publication bias if zero falls in the 95% CI for intercept. CI, confidence interval.

Figure S2.

Figure S2

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Publication bias evaluation in the sensitivity and subgroup analysis using the Egger test, based on the maximal frequency of aspirin use (A), the long duration of aspirin use (B), and obesity (BMI >30) (C).

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Footnotes

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/atm.2020.03.125). The authors have no conflicts of interest to declare.

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