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1.

Background

The etiology of small intestinal cancer (SIC) is largely unknown, and there are very few epidemiological studies published to date. No studies have investigated abdominal adiposity in relation to SIC.

Methods

We investigated overall obesity and abdominal adiposity in relation to SIC in the European Prospective Investigation into Cancer and Nutrition (EPIC), a large prospective cohort of approximately half a million men and women from ten European countries. Overall obesity and abdominal obesity were assessed by body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). Multivariate Cox proportional hazards regression modeling was performed to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs). Stratified analyses were conducted by sex, BMI, and smoking status.

Results

During an average of 13.9 years of follow-up, 131 incident cases of SIC (including 41 adenocarcinomas, 44 malignant carcinoid tumors, 15 sarcomas and 10 lymphomas, and 21 unknown histology) were identified. WC was positively associated with SIC in a crude model that also included BMI (HR per 5-cm increase = 1.20, 95 % CI 1.04, 1.39), but this association attenuated in the multivariable model (HR 1.18, 95 % CI 0.98, 1.42). However, the association between WC and SIC was strengthened when the analysis was restricted to adenocarcinoma of the small intestine (multivariable HR adjusted for BMI = 1.56, 95 % CI 1.11, 2.17). There were no other significant associations.

Conclusion

WC, rather than BMI, may be positively associated with adenocarcinomas but not carcinoid tumors of the small intestine.

Impact

Abdominal obesity is a potential risk factor for adenocarcinoma in the small intestine.
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2.

Purpose

We investigated whether changes in body mass index (BMI) before a breast cancer diagnosis affected mortality and whether trajectories more accurately predict overall mortality compared to a single measure of BMI.

Methods

Our prospective cohort comprised 2012 women with breast cancer who reported their weight in each decade from 20 to 50–64 years of age. We used trajectory analysis to identify groups with similar development patterns in BMI and Cox proportional hazards models to examine the association between trajectory groups and mortality, and interactions with oestrogen receptor status and smoking. We used c-index statistics to compare the trajectory model with the single measure model of BMI.

Results

We identified three distinct trajectory groups, with a mean BMI at age 20 of 19, 22 and 24 increasing to 23 (normal-to-normal), 29 (normal-to-overweight) and 37 (normal-to-obese) at 50–64 years of age, respectively. Women in the normal-to-obese trajectory group experienced significantly higher overall mortality than those in the normal-to-normal trajectory group (HR 1.76, 95% CI 1.21?2.56). The association declined to a non-significant level after adjustments for clinical prognostic factors. Although not significant, the same tendency was seen for breast cancer-specific mortality. The association was strongest in women with oestrogen receptor-negative tumours. Weight changes over time were not significantly different from a single BMI measure before diagnosis to predict survival.

Conclusion

Weight gain affects overall mortality after breast cancer but clinical prognostic factors largely eliminate the association. Using trajectories of weight changes did not improve the predictive value compared to a single measure of BMI.
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3.

Purpose

Higher mortality after a breast cancer diagnosis has been observed among women who are obese. We investigated the relationships between body mass index (BMI) and all-cause or breast cancer-specific mortality after a diagnosis of locoregional breast cancer.

Methods

Women diagnosed in 2004 with AJCC Stage I, II, or III breast cancer (n?=?5394) were identified from a population-based National Program of Cancer Registries (NPCR) patterns of care study (POC-BP) drawing from registries in seven U.S. states. Differences in overall and breast cancer-specific mortality were investigated using Cox proportional hazards regression models adjusting for demographic and clinical covariates, including age- and stage-based subgroup analyses.

Results

In women 70 or older, higher BMI was associated with lower overall mortality (HR for a 5 kg/m2 difference in BMI?=?0.85, 95% CI 0.75–0.95). There was no significant association between BMI and overall mortality for women under 70. BMI was not associated with breast cancer death in the full sample, but among women with Stage I disease; those in the highest BMI category had significantly higher breast cancer mortality (HR for BMI?≥?35 kg/m2 vs. 18.5–24.9 kg/m2?=?4.74, 95% CI 1.78–12.59).

Conclusions

Contrary to our hypothesis, greater BMI was not associated with higher overall mortality. Among older women, BMI was inversely related to overall mortality, with a null association among younger women. Higher BMI was associated with breast cancer mortality among women with Stage I disease, but not among women with more advanced disease.
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4.

Purpose

Obesity is a public health epidemic and a major risk factor for endometrial cancer. Here, we identify key aspects of body size which jointly, over the life-course (since adolescence), are associated with endometrial cancer risk.

Methods

Among 88,142 participants in the California Teachers Study, 887 were diagnosed with invasive type 1 endometrial cancer between 1997–1998 and 2012. Multivariable Cox proportional hazards models provided estimates of hazard rate ratios (HR) and 95% confidence intervals (CI) for endometrial cancer associated with life-course body size phenotypes, which incorporated validated measures.

Results

Among women currently using hormone therapy, endometrial cancer risk was only associated with height (HR 1.78, 95% CI 1.32–2.40 for ≥67 vs. <67 inches). Among women not using hormone therapy, tall women who were overweight/obese in adolescence (HR 4.33, 95% CI 2.51–7.46) or who became overweight/obese as adults (HR 4.74, 95% CI 2.70–8.32) were at greatest risk.

Conclusions

Considering absolute body mass, changes in adiposity over time, and body fat distribution together, instead of each measure alone, we identified lifetime obesity phenotypes associated with endometrial cancer risk. These results more clearly define specific risk groups, and may explain inconsistent findings across studies, improve risk prediction models, and aid in developing targeted interventions for endometrial cancer.
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5.

Purpose

Breast cancer (BC) is the most frequent cancer among women in developed countries. Physical activity (PA), body mass index (BMI), and alcohol intake have been identified as relevant lifestyle modifiable risk factors for post-menopausal BC. We aimed to evaluate the role of these factors in modulating post-menopausal BC risk and to estimate the proportion of BC cases attributable to low PA, high BMI, and alcohol taking into account non-modifiable factors.

Methods

In the Italian section of the EPIC study, 15,010 post-menopausal women were recruited and provided information about dietary and lifestyle habits including PA, smoking, reproductive history, and anthropometric measurements. During 14.8 years of median follow-up, 672 incident BC cases (607 invasive and 65 in situ) were identified.

Results

In multivariate models, inverse associations with BC risk emerged for increasing level of total (p trend 0.02), leisure time (p trend 0.04), and occupational (p trend 0.007) PA. High BMI (HR 1.21; 95% CI 1.02–1.43 and HR 1.33; 95% CI 1.06–1.65 for overweight and obesity, respectively) and alcohol consumption higher than 10 g/day (HR 1.30; 95% CI 1.09–1.54) were associated with BC risk. We estimated that 30% (95% CI 8–50%) of post-menopausal BC cases would be avoided through an increase of leisure time PA, a BMI below 25.0, and consuming no more than one drink/day.

Conclusions

This large study carried out in Mediterranean women confirms the role of PA, BMI, and alcohol consumption in modulating post-menopausal BC risk and supports the potential benefits obtainable by modifying these lifestyle factors.
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6.

Purpose

Several modifiable risk factors have been associated with risk of female cancers, but there is limited data regarding their combined effect on risk among Canadian women. Therefore, we assessed the joint association of modifiable risk factors, using a healthy lifestyle index (HLI) score, with risk of specific reproductive cancers.

Method

This study included a subcohort of 3,185 of the 39,618 women, who participated in the Canadian Study of Diet, Lifestyle, and Health, and in whom 410, 177, and 100 postmenopausal breast, endometrial, and ovarian cancers, respectively, were ascertained. We estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional hazards regression models modified for the case-cohort design.

Results

Each unit increase in the HLI score was associated with 3% and 5% reductions in risk of postmenopausal breast cancer and endometrial cancer, respectively (HR 0.97; 95% CI 0.94–0.99 and HR 0.95; 95% CI 0.90–0.99, respectively). Compared to those with HLI score in the lowest category, those in the highest category had 30% and 46% reductions in risk of these cancers, respectively. The HLI score was not associated with altered risk of ovarian cancer.

Conclusion

Our findings suggest that promoting a healthy lifestyle may aid in the primary prevention of postmenopausal breast and endometrial cancers.
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7.

Purpose

The association between female reproductive factors and glioma risk is unclear, but most published studies have been limited by small sample size. We conducted a pooled multisite study of pre- and postmenopausal women, investigating the effect of female reproductive factors, including hormonal medications.

Methods

Unconditional logistic regression was used to calculate odds ratios (ORs) and 95 % confidence intervals (95 % CIs) assessing the effects of female reproductive factors and female hormonal medications in glioma cases and unrelated controls.

Results

Menarche over the age of 15 as compared to under 12 was associated with a statistically significant risk for glioma (OR 2.00, 95 % CI 1.47–2.71). Use of oral contraceptive pills (OCP) was inversely associated with risk of glioma (OR 0.61, 95 % CI 0.50–0.74), and there was an inverse trend with longer duration of OCP use (p for trend <0.0001). Use of hormone replacement therapy (HRT) was also inversely associated with risk of glioma (OR 0.55, 95 % CI 0.44–0.68), and there was an inverse trend with longer duration of use (p for trend <0.0001). Compared to those reporting neither OCP use nor HRT use, those who reported using both were less likely to have a diagnosis of glioma (OR 0.34, 95 % CI 0.24–0.48).

Conclusions

Female reproductive hormones may decrease the risk for glioma. The association appears to be strongest with greater length of use and use of both HRT and OCP.
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8.

Purpose

Several mechanistic studies support a role of cholesterol or its metabolites in breast cancer etiology, but associations have been inconsistent in epidemiological studies. In observational studies, possible reverse causation must be accounted for using a prospective design. We investigated prospective associations between pre-diagnostic serum lipid concentrations [total cholesterol (TC), high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides], and both breast cancer risk and survival in the E3N cohort study.

Methods

Analyses were performed on 583 cases from the E3N prospective cohort diagnosed between 1994 and 2005, and 1,043 controls matched on date, age, recruitment center and menopausal status at blood collection. Odds ratios (OR) and 95% confidence intervals were estimated using conditional logistic regression. Risks of recurrence were estimated among cases using Cox proportional hazards model. Models were adjusted for lifestyle risk factors and mutually adjusted for lipid concentrations. Survival analyses were additionally adjusted for tumor characteristics.

Results

Overall, there was no association between any serum lipid and breast cancer risk or survival. In stratified analyses, statistically significant interaction was observed between TC and menopausal status (P interaction = 0.05) and between TC and waist circumference (P interaction = 0.03), although the ORs did not reach statistical significance in any of the strata. There was no statistically significant effect modification by BMI, time between blood donation and diagnosis or ER status.

Conclusions

Our results suggest that serum lipids are not associated with breast cancer risk overall, but that menopausal status and waist circumference should be considered in further studies.
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9.

Purpose

To examine the association of age when adult height was attained with glioma risk.

Methods

We analyzed data from a US-based case–control study of glioma risk factors. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) associated between age at attainment of adult height and glioma risk. Multivariate models were adjusted for age, race, sex, education, and state of residence. We examined associations overall, and according to glioma grade, sex, and final adult height.

Results

The study set included n?=?951 controls and n?=?776 cases, with a median age of 56 (18–92); the majority was male (53.8%) and identified as Caucasian. Older age at height completion was associated with an increased risk of glioma. A significant positive trend was observed both for glioblastoma (OR 1.10; 95% CI 1.04–1.17 per 1-year increase in age) and lower grade non-glioblastoma subtypes combined (OR 1.18; 95% CI 1.10–1.28 per year increase in age). The association was observed in men and women, and in all categories of final adult height.

Conclusions

We observed for the first time a positive association between glioma risk and a prolonged adolescent growth phase. Our results suggest a role for factors governing the timing and intensity of growth in adolescence as risk-determining exposures in adult glioma.
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10.

Purpose

Nearly half of the 3.5 million female breast cancer survivors in the US are aged 65 years or older at diagnosis, yet little is known about associations of obesity and physical activity with breast cancer-specific mortality (BCSM) among older survivors.

Methods

Between 1992 and 2013, 5254 women in the Cancer Prevention Study-II Nutrition Cohort were diagnosed with local or regional breast cancer among whom 1771 deaths (505 breast cancer deaths) occurred. Multivariable Cox proportional hazards regression models were used to examine associations of pre- and post-diagnosis body mass index (BMI) and moderate–vigorous physical activity (MET-hours/week) with mortality outcomes stratified by age at diagnosis (<65, ≥65 years).

Results

Among women ≥65 years of age at diagnosis (n = 4226), pre- and post-diagnosis BMI (per 5 kg/m2) were associated with a higher risk of BCSM (pre-diagnosis, HR 1.27, 95% CI 1.14–1.41; post-diagnosis, HR 1.19, 95% CI 1.04, 1.36); neither pre- nor post-diagnosis physical activity was associated with BCSM. Among women <65 years of age at diagnosis (n = 1028), BMI at both time points were not significantly associated with BCSM; however, there was a significant inverse trend of post-diagnosis physical activity with BCSM (P-trend = 0.01). Among both age groups, BMI and physical activity, regardless of when assessed, were significantly associated with all-cause mortality.

Conclusions

Higher BMI, pre- or post-diagnosis, was associated with a higher risk of BCSM in older patients, independent of comorbidities and stage at diagnosis. Weight management should be discussed even with women aged 65 years or older to lower rates of BCSM.
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11.

Purpose

Self-reported weight, height, and body mass index (BMI) are commonly used in cancer epidemiology studies, but information on the validity of self-reports among cancer survivors is lacking. This study aimed to evaluate the validity of these self-reported measures among African American (AA) breast cancer survivors, known to have high obesity prevalence.

Methods

We compared the self-reported and measured values among 243 participants from the Women’s Circle of Health Follow-Up Study (WCHFS), a population-based longitudinal study of AA breast cancer survivors. Multivariable-adjusted linear regressions were used to identify factors associated with reporting errors. We also examined the associations of self-reported and measured BMI with obesity-related health outcomes using multivariable logistic regressions, with hypertension as an example, to evaluate the impact of misreporting.

Results

We found that self-reported and measured values were highly correlated among all and when stratified by participants’ characteristics (intraclass correlation coefficients ≥?0.99, 0.84, and 0.96 for weight, height, and BMI, respectively). The agreement between BMI categories (normal, overweight and obese) based on self-reported and measured data was excellent (kappa?=?0.81). Women who were older, never smoked, had higher grade tumors, or had greater BMI tended to have overestimated BMI calculated from self-reported weight and height. The BMI-hypertension association was similar using self-reported (OR per 5 kg/m2 increase 1.63; 95% CI 1.27–2.10) and measured BMI (1.58; 95% CI 1.23–2.03).

Conclusions

Self-reported weight, height, and BMI were reasonably accurate in the WCHFS.

Implications for Cancer Survivors

Our study supports the use of these self-reported values among cancer survivors when direct measurements are not possible.
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12.

Background

It has been suggested that breast and thyroid diseases may be linked. The aim of this study was to investigate the association between benign breast disease and subsequent risk of thyroid cancer.

Methods

Postmenopausal women (n = 133,875) aged 50–79 years were followed up for a mean of 14 years. Benign breast disease was defined by history of biopsy. Incident thyroid cancer cases were confirmed by medical record review. Multivariable Cox proportional hazard modeling was used to estimate hazard ratios.

Results

There were 370 incident thyroid cancer cases during the follow-up period. Compared to women without BBD, women with BBD had a significant increased risk of thyroid cancer after adjusting for potential confounders (HR 1.38 95% CI 1.10–1.73), especially for women with more than two biopsies (HR 1.59 95% CI 1.10–2.26). There were no significant differences in thyroid tumor size, stage or histologic types between women with and without BBD.

Conclusion

Our large prospective study observed that postmenopausal women with BBD had an increased risk for thyroid cancer compared with women without BBD. A more detailed investigation of thyroid cancer risk according to different subtypes of benign breast disease is needed to better understand the association observed between thyroid and benign breast diseases.
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13.

Objectives

Traffic is the most important source of community noise, and it has been proposed to be associated with a range of disease outcomes, including breast cancer. As mammographic breast density (MD) is one of the strongest risk factors for developing breast cancer, the present study investigated whether there is an association between residential exposure to traffic noise and MD in a Danish cohort.

Methods

We included women with reproductive and lifestyle information available from the Diet, Cancer, and Health cohort, who also participated in the Copenhagen Mammography Screening Programme (n?=?5,260). Present and historical addresses from 1987 to 2011 were found in national registries, and traffic noise was modeled 5 years before mammogram. Analyses between residential traffic noise and MD were performed using logistic regression.

Results

We found no association between residential road and railway noise exposure 5 years before mammogram, and having a mixed/dense versus a fatty mammogram, and no interaction with menopausal status, BMI, HRT use, and railway noise exposure, for analyses on road traffic noise.

Conclusion

The present study does not suggest an association between residential traffic noise exposure and subsequent MD in a cohort of middle-aged Danish women.
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14.

Purpose

Use of glucosamine supplements has been associated with reduced risk of colorectal cancer (CRC) in previous studies; however, information on this association remains limited.

Methods

We examined the association between glucosamine use and CRC risk among 113,067 men and women in the Cancer Prevention Study II Nutrition Cohort. Glucosamine use was first reported in 2001 and updated every 2 years thereafter. Participants were followed from 2001 through June of 2011, during which time 1440 cases of CRC occurred.

Results

As has been observed in prior studies, current use of glucosamine, modeled using a time-varying exposure, was associated with lower risk of CRC (HR 0.83; 95% CI 0.71–0.97) compared to never use. However, for reasons that are unclear, this reduction in risk was observed for shorter-duration use (HR 0.68; 95% CI 0.52–0.87 for current users with ≤?2 years use) rather than longer-duration use (HR 0.90; 95% CI 0.72–1.13 for current users with 3 to <?6 years of use; HR 0.99; 95% CI 0.76–1.29 for current users with ≥?6 years of use).

Conclusions

Further research is needed to better understand the association between glucosamine use and risk of CRC, and how this association may vary by duration of use.
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15.

Purpose

There is suggestive but limited evidence for a relationship between meat intake and breast cancer (BC) risk. Few studies included Hispanic women. We investigated the association between meats and fish intake and BC risk among Hispanic and NHW women.

Methods

The study included NHW (1,982 cases and 2,218 controls) and the US Hispanics (1,777 cases and 2,218 controls) from two population-based case–control studies. Analyses considered menopausal status and percent Native American ancestry. We estimated pooled ORs combining harmonized data from both studies, and study- and race-/ethnicity-specific ORs that were combined using fixed or random effects models, depending on heterogeneity levels.

Results

When comparing highest versus lowest tertile of intake, among NHW we observed an association between tuna intake and BC risk (pooled OR 1.25; 95 % CI 1.05–1.50; trend p = 0.006). Among Hispanics, we observed an association between BC risk and processed meat intake (pooled OR 1.42; 95 % CI 1.18–1.71; trend p < 0.001), and between white meat (OR 0.80; 95 % CI 0.67–0.95; trend p = 0.01) and BC risk, driven by poultry. All these findings were supported by meta-analysis using fixed or random effect models and were restricted to estrogen receptor-positive tumors. Processed meats and poultry were not associated with BC risk among NHW women; red meat and fish were not associated with BC risk in either race/ethnic groups.

Conclusions

Our results suggest the presence of ethnic differences in associations between meat and BC risk that may contribute to BC disparities.
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16.

Purpose

Endometrial cancer (EC) survivors are the second largest group of female cancer survivors in the USA, with high prevalence of obesity and physical inactivity. While higher pre-diagnosis body mass index (BMI) has been associated with higher all-cause and disease-specific mortality, pre-diagnosis physical activity has shown mixed evidence of an association with mortality. However, the association between BMI, physical activity, and TV viewing measured after diagnosis and mortality risk among EC survivors is unknown.

Methods

We identified 580 women with EC in the NIH-AARP Diet and Health Study who completed a post-diagnosis questionnaire on BMI, leisure time moderate- to vigorous-intensity physical activity (MVPA), and TV viewing. We used Cox proportional hazards regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality.

Results

With a median follow-up time of 7.1 years, we observed 91 total deaths. We found a positive association between BMI (\({\text{HR}}_{{35+\,{\text{ vs.}}\, <25 {\text{kg/m}}^{2} }}\) = 2.14, 95% CI 1.08–4.24 and mortality, and no statistically significant association between TV viewing (HR5+ vs. <3 h/day = 1.46, 95% CI 0.86–2.46) and mortality nor MVPA with mortality (HR15+ vs. 0 MET h/week = 0.72, 95% CI 0.43–1.21) after adjusting for tumor characteristics and demographic factors. Further adjustment for lifestyle and health status attenuated BMI associations (\({\text{HR}}_{{35+\,{\text{ vs.}}\, <25 {\text{kg/m}}^{2} }}\) = 1.47, 95% CI 0.71–3.07), but strengthened the association between TV viewing and mortality (HR5+ vs. <3 h/day = 2.28, 95% CI 1.05–4.95).

Conclusions

Our results suggest that higher post-diagnosis BMI and TV viewing may be associated with higher mortality risk among EC patients, but that there may be complicated interrelationships between lifestyle factors of BMI, PA, and TV viewing and the mediating role of health status that need to be clarified.
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17.

Background

Obesity is a chronic inflammatory condition strongly associated with the risk of numerous cancers. We examined the association between circulating high-sensitivity C-reactive protein (hsCRP), a biomarker of inflammation and strong correlate of obesity, and the risk of three understudied obesity-related cancers in postmenopausal women: ovarian cancer, kidney cancer, and multiple myeloma.

Methods

Participants were 24,205 postmenopausal women who had measurements of baseline serum hsCRP (mg/L) in the Women’s Health Initiative (WHI) CVD Biomarkers Cohort, a collection of four sub-studies within the WHI. Incident cancers were identified over 17.9 years of follow-up (n?=?153 ovarian, n?=?110 kidney, n?=?137 multiple myeloma). hsCRP was categorized into study-specific quartiles. Adjusted Cox regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for associations of baseline hsCRP with the risk of these cancers.

Results

There was no clear association between baseline hsCRP concentration and the risk of ovarian cancer (quartile 4 vs. 1: HR 0.87, 95% CI 0.56–1.37), kidney cancer (HR 0.95, 95% CI 0.56–1.61), or multiple myeloma (HR 0.82, 95% CI 0.52–1.29). HRs for 1 mg/L increases in hsCRP also approximated the null value for each cancer.

Conclusions

The results of this study suggest that elevated CRP is not a major risk factor for these obesity-related cancers (ovarian or kidney cancers, or multiple myeloma) among postmenopausal women. Given the importance of elucidating the mechanisms underlying the association of obesity with cancer risk, further analysis with expanded biomarkers and in larger or pooled prospective cohorts is warranted.
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18.

Purpose

Prospective cohort studies suggest that red and processed meat consumption is associated with increased risk of pancreatic cancer among men, but not women. However, evidence is limited, and less evidence exists for other types of meat.

Methods

Cox proportional hazards regression was used to estimate multivariable-adjusted hazard ratios (HR) for the association of meat consumption, by type, with pancreatic cancer risk among 138,266 men and women in the Cancer Prevention Study-II Nutrition Cohort. Diet was assessed at baseline in 1992, and 10 years earlier, at enrollment into the parent CPS-II mortality cohort. 1,156 pancreatic cancers were verified through 2013.

Results

Red meat, processed meat, and fish intake at baseline were not associated with pancreatic cancer risk. However, for long-term red and processed meat consumption (highest quartiles in 1982 and 1992, vs. lowest quartiles), risk appeared different in men [hazard ratio (HR) 1.32, 95% confidence interval (CI) 0.90, 1.95] and women (HR 0.72, 95% CI 0.47, 1.10, p heterogeneity by sex?=?0.05). Poultry consumption in 1992 was associated with increased pancreatic cancer risk (HR 1.27, 95% CI 1.04, 1.55, p trend?=?0.01, top vs. bottom quintile).

Conclusions

The associations of meat consumption with pancreatic cancer risk remain unclear and further research, particularly of long-term intake, is warranted.
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19.

Purpose

In epidemiology, the relationship between increased adiposity and cancer risk has long been recognized. However, whether the association is the same for measures of abdominal or whole body adiposity is unclear. The aim of this systematic review is to compare cancer risk, associated with body mass index (BMI), an indicator of whole body adiposity, with indicators of abdominal adiposity in studies in which these indicators have been directly measured.

Methods

We conducted a systematic search from 1974 (EMBASE) and 1988 (PubMed) to September 2015 with keywords related to adiposity and cancer. Included studies were limited to cohort studies reporting directly measured anthropometry and performing mutually adjusted analyses.

Results

Thirteen articles were identified, with two reporting on breast cancer, three on colorectal cancer, three on endometrial cancer, two on gastro-oesophageal cancer, two on renal cancer, one on ovarian cancer, one on bladder cancer, one on liver and biliary tract cancer and one on leukaemia. Evidence suggests that abdominal adiposity is a stronger predictor than whole body adiposity for gastro-oesophageal, leukaemia and liver and biliary tract cancer in men and women and for renal cancer in women. Abdominal adiposity was a stronger predictor for bladder and colorectal cancer in women, while only BMI was a predictor in men. In contrast, BMI appears to be a stronger predictor for ovarian cancer. For breast and endometrial cancer, both measures were predictors for cancer risk in postmenopausal women.

Conclusions

Only few studies used mutually adjusted and measured anthropometric indicators when studying adiposity–cancer associations. Further research investigating cancer risk and adiposity should include more accurate non-invasive indicators of body fat deposition and focus on the understudied cancer types, namely leukaemia, ovarian, bladder and liver and biliary tract cancer.
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20.

Background

Excess body weight is associated with a risk of several malignancies, including colon cancer. However, the oncological significance of evaluating body mass index (BMI) preoperatively in colorectal cancer (CRC) patients undergoing curative surgery has not been fully evaluated.

Methods

Clinicopathological findings including BMI and laboratory data [carcinoembryonic antigen (CEA) and neutrophil/lymphocyte ratio (NLR)] from 358 curative CRC patients (open surgery group: n = 157; laparoscopic surgery group: n = 201) were assessed as indicators of survival outcome. BMI <20 was defined as underweight in both groups.

Results

Not all categories of pathological findings were associated with BMI in both groups. Patients with BMI <20 showed significant poorer overall survival (OS) in the open surgery group. In addition, patients with BMI <20 in the laparoscopic surgery group were also significantly worse in OS and disease-free survival (DFS). Furthermore, multivariate analysis demonstrated that BMI was validated as independent predictors for OS and DFS in both groups. BMI had a significant negative correlation with NLR, which reflects host immune response in both groups.

Conclusions

Lower BMI is a promising predictor of recurrence and prognosis in curative CRC patients.
  相似文献   

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