Evaluating patient-reported symptoms and late adverse effects following completion of first-line chemotherapy for ovarian cancer using the MOST (Measure of Ovarian Symptoms and Treatment concerns).

OBJECTIVES: Knowledge on the course of symptoms patients with ovarian cancer experience is limited. We documented the prevalence and trajectories of symptoms after first-line chemotherapy using the Measure of Ovarian Symptoms and Treatment concerns (MOST). METHODS: A total of 726 patients who received platinum-based chemotherapy for ovarian cancer were asked to complete the MOST every 3 months, beginning 6 months post-diagnosis and continuing for up to 4 years. We used descriptive statistics to examine temporal changes in MOST-S26 index scores for disease or treatment-related (MOST-DorT), neurotoxicity (MOST-NTx), abdominal (MOST-Abdo), and psychological (MOST-Psych) symptoms, and wellbeing (MOST-Wellbeing) and selected individual symptoms. We used group-based trajectory models to identify groups with persistently poor symptoms. RESULTS: The median MOST-Abdo, MOST-DorT and MOST-Wellbeing score were worst at chemotherapy-end but improved and stabilised by 1, 3 and 12 months after treatment, respectively. The median MOST-NTx score peaked at 1 month after treatment before improving, while the median MOST-Psych score did not change substantially over time. Long-term moderate-to-severe fatigue (32%), trouble sleeping (31%), sore hands and feet (21%), pins and needles (20%) and anxiety (18%) were common. Trajectory models revealed groups of patients with persistent symptoms had MOST-DorT scores above 30 and MOST-NTx scores above 40 at treatment-end. CONCLUSIONS: Although many patients report improvements in symptoms by 3 months after first-line chemotherapy for ovarian cancer, patients who score > 30/100 on MOST-S26-DorT or > 40/100 on MOST-S26-NTx at the end of chemotherapy are likely to have persistent symptoms. The MOST could triage this at-risk subset for early intervention.

A healthy lifestyle and survival among women with ovarian cancer.

Ovarian cancer has a poor survival rate and, understandably, women often want to know whether there is anything they can do to improve their prognosis. Our goal was to investigate the association between a healthy lifestyle prediagnosis and postdiagnosis and survival in a cohort of Australian women with invasive epithelial ovarian cancer. We calculated a healthy lifestyle index (HLI) based on women's self-reported smoking status, height, weight, physical activity, diet and alcohol consumption before diagnosis (n = 678) and after completing primary treatment (n = 512). Clinical data and vital status for each woman were ascertained through medical records. Cox proportional hazards regression was conducted to calculate hazard ratios (HR) and 95% confidence interval (CI) for all-cause mortality. There was a suggestive association between a more healthy lifestyle before diagnosis and better survival (HR 0.79, 95% CI: 0.59-1.04), however, the association was stronger for lifestyle after diagnosis, with women in the highest tertile having significantly better survival than women in the lowest tertile (HR 0.61, 95% CI: 0.40-0.93; P-trend = .02). Current smoking, particularly postdiagnosis, was associated with higher mortality (HR 1.68, 95% CI: 1.17-2.42; HR 2.82, 95% CI: 1.29-6.14, for prediagnosis and postdiagnosis smoking, respectively), but women who quit after diagnosis had survival outcomes similar to nonsmokers (HR 0.99, 95% CI: 0.57-1.72). Higher physical activity after diagnosis was associated with better survival (HR 0.60, 95% CI: 0.39-0.92; P-trend = .02). A healthy lifestyle after diagnosis, in particular not smoking and being physically active, may help women with ovarian cancer improve their prognosis.

When will I feel normal again? Trajectories and predictors of persistent symptoms and poor wellbeing after primary chemotherapy for ovarian cancer.

OBJECTIVES: After treatment for ovarian cancer, women want to know when they will feel 'normal' again. Our objective was to document the proportions of women with high levels of physical and emotional symptoms at the end of treatment, determine if/when they return to normal and identify groups at risk of persistent symptoms/delayed recovery. METHODS: Women in the OPAL (Ovarian cancer Prognosis And Lifestyle) study who received ≥3 cycles of first-line chemotherapy and completed patient-reported outcome (PRO) questionnaires on or < 6 weeks after completing chemotherapy (baseline) were included in this analysis (n = 527). PRO measures included anxiety, depression, insomnia, fatigue and wellbeing (quality-of-life) at baseline, 3, 6, 9 and 18 months post-baseline. Group-based trajectory models identified clusters of individuals who followed similar patterns. Logistic and Cox regression identified factors associated with persistent symptoms and delayed recovery, respectively. RESULTS: At baseline, 57% of women reported moderate-to-severe fatigue, 22% anxiety, 20% depression, 14% clinical insomnia and 45% had quality-of-life scores significantly lower than the general population. Between 50 and 75% of individual PRO scores normalised within six months, with the exception of emotional wellbeing (42%), but approximately two-in-five women still had at least one persistently poor PRO at 18 months. Women with more severe symptoms at baseline, who were younger, or had a history of anxiety/depression were more likely to have persistent symptoms or delayed recovery. CONCLUSIONS: Two-in-five women might never fully return to 'normal' after completing primary treatment for ovarian cancer. Those with risk factors should be triaged for early supportive interventions.

Insomnia and its association with quality of life in women with ovarian cancer.

OBJECTIVES: Insomnia is common in women with ovarian cancer but there are limited prospective data on the frequency and degree of impact on patients. Our objective was to determine the prevalence of insomnia over the first three years after a diagnosis of ovarian cancer; and the relationship between insomnia and quality of life. METHODS: OPAL (Ovarian cancer, Prognosis And Lifestyle) is a prospective study of Australian women with epithelial ovarian cancer; 894 provided information on insomnia symptoms, medications and quality of life at three, six, nine, 12, 24 and 36 months after diagnosis. Generalised linear mixed models were used to determine the relationship between insomnia and quality of life measured at the same time and three months later. RESULTS: One-quarter of women reported symptoms consistent with clinical insomnia within three years after diagnosis and an additional 13% regularly used sleep medication (total 36% affected). Excluding 7% who reported insomnia symptoms before diagnosis, 22% reported new insomnia, which reduced to 17% when also excluding women on chemotherapy. The proportion of women with clinical (14%) or subclinical (28%) insomnia symptoms was highest at three months after diagnosis. Compared to women with no insomnia, those with clinical insomnia had significantly lower quality of life measured at the same time (8.4 points lower, 95% CI: 7.2-9.5), and three months later (5.5 points lower, 95% CI: 3.4-7.6). CONCLUSIONS: Over a third of women with ovarian cancer likely experience insomnia after diagnosis; this may persist and is associated with poorer quality of life.

Joint exposure to smoking, excessive weight, and physical inactivity and survival of ovarian cancer patients, evidence from the Ovarian Cancer Association Consortium.

PURPOSE: Previous epidemiologic studies have shown that smoking, obesity, and physical inactivity are associated with poor survival following a diagnosis of ovarian cancer. Yet, the combined relationship of these unfavorable lifestyle factors on ovarian cancer survival has not been sufficiently investigated. METHODS: Using data pooled from 13 studies, we examined the associations between combined exposures to smoking, overweight/obesity weight, and physical inactivity and overall survival (OS) as well as progression-free survival (PFS) among women diagnosed with invasive epithelial ovarian carcinoma (n = 7,022). Using age- and stage-adjusted Cox proportional hazards regression models, we estimated hazard ratios (HRs) and 95% confidence intervals (CIs) associated with joint exposure to these factors. RESULTS: Combined exposure to current smoking, overweight/obesity, and physical inactivity prior to diagnosis was associated with a significantly increased risk of mortality compared to women who never smoked, had normal body mass index (BMI), and were physically active (HR = 1.37; 95% CI 1.10-1.70). The association for a joint exposure to these factors exceeded that of each exposure individually. In fact, exposure to both current smoking and overweight/obesity, and current smoking and physical inactivity was also associated with increased risk of death (HR = 1.28; 95% CI 1.08-1.52, and HR = 1.26; 95% CI 1.04-1.54, respectively). The associations were of a similar magnitude when former smoking was assessed in combination with the other exposures and when excessive weight was limited to obesity only. No significant associations were observed between joint exposure to any of these factors and PFS. CONCLUSIONS: Joint exposure to smoking, excessive weight, and physical inactivity may negatively impact survival of ovarian cancer patients. These results suggest the importance of examining the combined effect of lifestyle factors on ovarian cancer patients' survival.

How many cancer cases and deaths are potentially preventable? Estimates for Australia in 2013.

Cancer is a leading cause of disease burden in Australia, particularly fatal burden, accounting for an estimated thirty percent of deaths. Many cancers develop because of exposure to lifestyle and environmental factors that are potentially modifiable. We aimed to quantify the proportions and numbers of cancer deaths and cases in Australia in 2013 attributable to 20 modifiable factors in eight broad groupings that are established causes of cancer, namely: tobacco smoke (smoking and second-hand), dietary factors (low intake of fruit, non-starchy vegetables and dietary fibre; and high intake of red and processed meat), overweight/obesity, alcohol, physical inactivity, solar ultraviolet radiation, infections (seven agents), and reproductive factors (lack of breastfeeding, menopausal hormone therapy use, combined oral contraceptive use). We estimated population attributable fractions (PAF) using standard formulae incorporating exposure prevalence and relative risk data. Of all cancer deaths in Australia in 2013, approximately 38% overall (males 41%, females 34%) could be attributed to the factors assessed; the corresponding PAF for cancer cases was 33% (males 34%, females 32%). Tobacco smoke was the leading cause of cancer deaths and cases, with PAFs of 23 and 13%, respectively, followed by dietary factors (5% deaths/5% cases), overweight/obesity (5%/4%) and infections (5%/3%). Cancer sites with the highest numbers of potentially preventable deaths/cases were lung (n = 6,776/9,272), colorectum (n = 1,974/7,380) and cutaneous melanoma (n = 1,390/7,918). We estimate that about 16,700 cancer deaths and 41,200 cancer cases could be prevented in Australia each year if people's exposures to 20 causal factors were aligned with levels recommended to minimise cancer risk.

Adult height is associated with increased risk of ovarian cancer: a Mendelian randomisation study.

BACKGROUND: Observational studies suggest greater height is associated with increased ovarian cancer risk, but cannot exclude bias and/or confounding as explanations for this. Mendelian randomisation (MR) can provide evidence which may be less prone to bias. METHODS: We pooled data from 39 Ovarian Cancer Association Consortium studies (16,395 cases; 23,003 controls). We applied two-stage predictor-substitution MR, using a weighted genetic risk score combining 609 single-nucleotide polymorphisms. Study-specific odds ratios (OR) and 95% confidence intervals (CI) for the association between genetically predicted height and risk were pooled using random-effects meta-analysis. RESULTS: Greater genetically predicted height was associated with increased ovarian cancer risk overall (pooled-OR (pOR) = 1.06; 95% CI: 1.01-1.11 per 5 cm increase in height), and separately for invasive (pOR = 1.06; 95% CI: 1.01-1.11) and borderline (pOR = 1.15; 95% CI: 1.02-1.29) tumours. CONCLUSIONS: Women with a genetic propensity to being taller have increased risk of ovarian cancer. This suggests genes influencing height are involved in pathways promoting ovarian carcinogenesis.

ER and PR expression and survival after endometrial cancer.

OBJECTIVE: To measure association between endometrial carcinoma ER and PR status and endometrial cancer (EC) survival, accounting for inter-observer variation. METHODS: The intensity and proportion of tumor cell expression of ER and PR in ECs were assessed independently and semi-quantitatively by two pathologists using digital images of duplicate tumor tissue microarrays (TMAs). Cases with inconsistent initial assessment were reviewed and final scoring agreed. The association between overall and EC-specific survival and hormone receptor expression (intensity, proportion and combined) was assessed using Cox regression analysis. The C-index was used to evaluate model discrimination with addition of ER and PR status. RESULTS: Tumor ER and PR analysis was possible in 659 TMAs from 255 patients, and in 459 TMAs from 243 patients, respectively. Initial ER and PR scoring was consistent in 82% and 80% of cases, respectively. In multivariate analyses decreased ER and PR expression was associated with increased tumor-related mortality. Associations reached statistical significance for ER proportion score (P=0.05), ER intensity score (P=0.003), and PR combined score (P=0.04). Decreased expression of combined ER/PR expression was associated with poorer EC-specific survival than decreased expression of either hormone receptor alone (P=0.005). However, hormone receptor status did not significantly improve mortality prediction in individual cases. CONCLUSION: ER and PR expression combined, using cut-points that capture variation in scoring and across cores, is significantly associated with EC-specific survival in analyses adjusting for known prognostic factors. However, at the individual level, ER and PR expression does not improve mortality prediction.

Coping strategies, trajectories, and their associations with patient-reported outcomes among women with ovarian cancer.

OBJECTIVE: Most women with ovarian cancer present with advanced stage disease and face aggressive treatments, recurrence, and possible death, yet little is known about how they cope. Our objective was to identify coping strategies used by women with ovarian cancer and their trajectories of use after diagnosis and to assess if coping trajectories are associated with subsequent anxiety, depression, or quality of life. METHODS: Women with ovarian cancer completed questionnaires including the Brief-COPE, HADS, and FACT at 3, 6, and 9 months after diagnosis and the HADS and FACT at 12 months. Using data from 634 women who completed the 3-month questionnaire, factor analysis was conducted to identify coping strategy clusters. Trajectory modeling was used to assess patterns of coping over time. Associations between coping trajectory from 3 to 9 months and patient-reported outcomes at 12 months were investigated using general linear models. RESULTS: Three coping strategy clusters were identified. Use of "taking action/positive framing" followed four distinct trajectories over time: low-stable (44%), medium-stable (32%), medium-decreasing (11%), high-stable (12%). Use of "social/emotional support" had four trajectories: low-increasing (7%), low-decreasing (44%), medium-decreasing (40%), and high-stable (8%). Women either "accepted their reality" (26%) or "used some denial" (74%). Women who accepted reality reported significantly less anxiety and depression and better quality of life at 12 months. Women with high-stable use of taking action/positive framing reported less depression. Women with high-stable use of social/emotional support reported better quality of life. CONCLUSIONS: Strategies to assist women with acceptance, action-planning, positive-framing, and maintaining psychosocial support should be considered.

Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies.

Cigarette smoking is associated with an increased risk of developing mucinous ovarian tumors but whether it is associated with ovarian cancer survival overall or for the different histotypes is unestablished. Furthermore, it is unknown whether the association between cigarette smoking and survival differs according to strata of ovarian cancer stage at diagnosis. In a large pooled analysis, we evaluated the association between various measures of cigarette smoking and survival among women with epithelial ovarian cancer. We obtained data from 19 case-control studies in the Ovarian Cancer Association Consortium (OCAC), including 9,114 women diagnosed with ovarian cancer. Cox regression models were used to estimate adjusted study-specific hazard ratios (HRs), which were combined into pooled hazard ratios (pHR) with corresponding 95% confidence intervals (CIs) under random effects models. Overall, 5,149 (57%) women died during a median follow-up period of 7.0 years. Among women diagnosed with ovarian cancer, both current (pHR = 1.17, 95% CI: 1.08-1.28) and former smokers (pHR = 1.10, 95% CI: 1.02-1.18) had worse survival compared with never smoking women. In histotype-stratified analyses, associations were observed for mucinous (current smoking: pHR = 1.91, 95% CI: 1.01-3.65) and serous histotypes (current smoking: pHR = 1.11, 95% CI: 1.00-1.23; former smoking: pHR = 1.12, 95% CI: 1.04-1.20). Further, our results suggested that current smoking has a greater impact on survival among women with localized than disseminated disease. The identification of cigarette smoking as a modifiable factor associated with survival has potential clinical importance as a focus area to improve ovarian cancer prognosis.

Pre-diagnosis diet and survival after a diagnosis of ovarian cancer.

BACKGROUND: The relationship between diet and survival after ovarian cancer diagnosis is unclear as a result of a limited number of studies and inconsistent findings. METHODS: We examined the association between pre-diagnostic diet and overall survival in a population-based cohort (n=811) of Australian women diagnosed with invasive epithelial ovarian cancer between 2002 and 2005. Diet was measured by validated food frequency questionnaire. Deaths were ascertained up to 31 August 2014 via medical record review and Australian National Death Index linkage. We conducted Cox proportional hazards regression analysis, controlling for diagnosis age, tumour stage, grade and subtype, residual disease, smoking status, body mass index, physical activity, marital status, and energy intake. RESULTS: We observed improved survival with highest compared with lowest quartile of fibre intake (hazard ratio (HR)=0.69, 95% CI: 0.53-0.90, P-trend=0.002). There was a suggestion of better survival for women with highest compared with lowest intake category of green leafy vegetables (HR=0.79, 95% CI: 0.62-0.99), fish (HR=0.74, 95% CI: 0.57-0.95), poly- to mono-unsaturated fat ratio (HR=0.76, 95% CI: 0.59-0.98), and worse survival with higher glycaemic index (HR=1.28, 95% CI: 1.01-1.65, P-trend=0.03). CONCLUSIONS: The associations we observed between healthy components of diet pre-diagnosis and ovarian cancer survival raise the possibility that dietary choices after diagnosis may improve survival.

History of thyroid disease and survival of ovarian cancer patients: results from the Ovarian Cancer Association Consortium, a brief report.

BACKGROUND: Findings from in vitro studies suggest that increased exposure to thyroid hormones can influence progression of ovarian tumours. However, epidemiologic evidence on this topic is limited. METHODS: We pooled data from 11 studies from the Ovarian Cancer Association Consortium. Using multivariate Cox proportional hazards models, we estimated associations between hyper- and hypothyroidism and medications prescribed for these conditions with 5-year all-cause survival among women diagnosed with invasive ovarian cancer. RESULTS: Overall, there was a nonsignificant association with history of hyperthyroidism (n=160 cases) and mortality (HR=1.22; 95% CI=0.97-1.53). Furthermore, diagnosis of hyperthyroidism within the 5 years before ovarian cancer diagnosis was associated with an increased risk of death (HR=1.94; 95% CI=1.19-3.18). A more modest association was observed with history of hypothyroidism (n=624 cases) and mortality (HR=1.16; 95% CI=1.03-1.31). Neither duration of hypothyroidism nor use of thyroid medications was associated with survival. CONCLUSIONS: In this large study of women with ovarian cancer, we found that recent history of hyperthyroidism and overall history of hypothyroidism were associated with worse 5-year survival.

Use of common analgesic medications and ovarian cancer survival: results from a pooled analysis in the Ovarian Cancer Association Consortium.

BACKGROUND: Nonsteroidal anti-inflammatory drugs (NSAIDs) have been associated with improved survival in some cancers, but evidence for ovarian cancer is limited. METHODS: Pooling individual-level data from 12 Ovarian Cancer Association Consortium studies, we evaluated the association between self-reported, pre-diagnosis use of common analgesics and overall/progression-free/disease-specific survival among 7694 women with invasive epithelial ovarian cancer (4273 deaths). RESULTS: Regular analgesic use (at least once per week) was not associated with overall survival (pooled hazard ratios, pHRs (95% confidence intervals): aspirin 0.96 (0.88-1.04); non-aspirin NSAIDs 0.97 (0.89-1.05); acetaminophen 1.01 (0.93-1.10)), nor with progression-free/disease-specific survival. There was however a survival advantage for users of any NSAIDs in studies clearly defining non-use as less than once per week (pHR=0.89 (0.82-0.98)). CONCLUSIONS: Although this study did not show a clear association between analgesic use and ovarian cancer survival, further investigation with clearer definitions of use and information about post-diagnosis use is warranted.

History of hypertension, heart disease, and diabetes and ovarian cancer patient survival: evidence from the ovarian cancer association consortium.

PURPOSE: Survival following ovarian cancer diagnosis is generally low; understanding factors related to prognosis could be important to optimize treatment. The role of previously diagnosed comorbidities and use of medications for those conditions in relation to prognosis for ovarian cancer patients has not been studied extensively, particularly according to histological subtype. METHODS: Using pooled data from fifteen studies participating in the Ovarian Cancer Association Consortium, we examined the associations between history of hypertension, heart disease, diabetes, and medications taken for these conditions and overall survival (OS) and progression-free survival (PFS) among patients diagnosed with invasive epithelial ovarian carcinoma. We used Cox proportional hazards regression models adjusted for age and stage to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) overall and within strata of histological subtypes. RESULTS: History of diabetes was associated with increased risk of mortality (n = 7,674; HR = 1.12; 95% CI = 1.01-1.25). No significant mortality associations were observed for hypertension (n = 6,482; HR = 0.95; 95% CI = 0.88-1.02) or heart disease (n = 4,252; HR = 1.05; 95% CI = 0.87-1.27). No association of these comorbidities was found with PFS in the overall study population. However, among patients with endometrioid tumors, hypertension was associated with lower risk of progression (n = 339, HR = 0.54; 95% CI = 0.35-0.84). Comorbidity was not associated with OS or PFS for any of the other histological subtypes. Ever use of beta blockers, oral antidiabetic medications, and insulin was associated with increased mortality, HR = 1.20; 95% CI = 1.03-1.40, HR = 1.28; 95% CI = 1.05-1.55, and HR = 1.63; 95% CI = 1.20-2.20, respectively. Ever use of diuretics was inversely associated with mortality, HR = 0.71; 95% CI = 0.53-0.94. CONCLUSIONS: Histories of hypertension, diabetes, and use of diuretics, beta blockers, insulin, and oral antidiabetic medications may influence the survival of ovarian cancer patients. Understanding mechanisms for these observations could provide insight regarding treatment.

Recreational physical inactivity and mortality in women with invasive epithelial ovarian cancer: evidence from the Ovarian Cancer Association Consortium.

BACKGROUND: Little is known about modifiable behaviours that may be associated with epithelial ovarian cancer (EOC) survival. We conducted a pooled analysis of 12 studies from the Ovarian Cancer Association Consortium to investigate the association between pre-diagnostic physical inactivity and mortality. METHODS: Participants included 6806 women with a primary diagnosis of invasive EOC. In accordance with the Physical Activity Guidelines for Americans, women reporting no regular, weekly recreational physical activity were classified as inactive. We utilised Cox proportional hazard models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) representing the associations of inactivity with mortality censored at 5 years. RESULTS: In multivariate analysis, inactive women had significantly higher mortality risks, with (HR=1.34, 95% CI: 1.18-1.52) and without (HR=1.22, 95% CI: 1.12-1.33) further adjustment for residual disease, respectively. CONCLUSION: In this large pooled analysis, lack of recreational physical activity was associated with increased mortality among women with invasive EOC.

Intrauterine devices and endometrial cancer risk: a pooled analysis of the Epidemiology of Endometrial Cancer Consortium.

Intrauterine devices (IUDs), long-acting and reversible contraceptives, induce a number of immunological and biochemical changes in the uterine environment that could affect endometrial cancer (EC) risk. We addressed this relationship through a pooled analysis of data collected in the Epidemiology of Endometrial Cancer Consortium. We combined individual-level data from 4 cohort and 14 case-control studies, in total 8,801 EC cases and 15,357 controls. Using multivariable logistic regression, we estimated pooled odds ratios (pooled-ORs) and 95% confidence intervals (CIs) for EC risk associated with ever use, type of device, ages at first and last use, duration of use and time since last use, stratified by study and adjusted for confounders. Ever use of IUDs was inversely related to EC risk (pooled-OR = 0.81, 95% CI = 0.74-0.90). Compared with never use, reduced risk of EC was observed for inert IUDs (pooled-OR = 0.69, 95% CI = 0.58-0.82), older age at first use (≥ 35 years pooled-OR = 0.53, 95% CI = 0.43-0.67), older age at last use (≥ 45 years pooled-OR = 0.60, 95% CI = 0.50-0.72), longer duration of use (≥ 10 years pooled-OR = 0.61, 95% CI = 0.52-0.71) and recent use (within 1 year of study entry pooled-OR = 0.39, 95% CI = 0.30-0.49). Future studies are needed to assess the respective roles of detection biases and biologic effects related to foreign body responses in the endometrium, heavier bleeding (and increased clearance of carcinogenic cells) and localized hormonal changes.

A case-control study of glycemic index, glycemic load and dietary fiber intake and risk of adenocarcinomas and squamous cell carcinomas of the esophagus: the Australian Cancer Study.

BACKGROUND: Glycemic index (GI) and glycemic load (GL) have been investigated as etiologic factors for some cancers, but epidemiological data on possible associations between dietary carbohydrate intake and esophageal cancer are scant. This study examined the association between GI, GL, and other dietary carbohydrate components and risk of adenocarcinomas and squamous cell carcinoma of the esophagus accounting for established risk factors. METHODS: We analyzed data from a population-based Australian case-control study (2002-05) comprising 299 adenocarcinoma (EAC), 337 gastro-esophageal junction adenocarcinoma (EGJAC), 245 squamous cell carcinoma (ESCC), and 1507 controls sampled from a population registry. Dietary information was obtained using a 135-item food frequency questionnaire (FFQ); GI and GL were derived from an Australian GI database. Multivariable logistic regression models were used to derive odds ratios (ORs). RESULTS: All three case groups tended to have a lower intake of fiber, and significantly higher intake of fat, total energy, and alcohol (ESCC only) compared to controls. GI was unrelated to all histological types. Higher GL was not associated with risk of EAC and EGJAC, but was inversely associated with risk of ESCC (adjusted model, p(trend) = 0.006), specifically among men where we observed a 58% reduced risk of ESCC in the highest versus the lowest quartile. Increased intake of total carbohydrates and starch was related to similarly large risk reductions of ESCC. Fiber intake was strongly and inversely associated with risk of EAC, EGJAC and ESCC (all p(trend) ≤ 0.001), indicating risk reductions of 28%-37% per 10 g/day. CONCLUSIONS: This study suggests a reduced risk of esophageal SCC with higher GL level particularly in men, but provides no evidence for the role of GI in the development of esophageal cancer. In addition, increased fiber intake appears to be associated with lower risk of all histological types of esophageal cancer.

Dietary phyto-oestrogens and the risk of ovarian and endometrial cancers: findings from two Australian case-control studies.

Phyto-oestrogens have been suggested to have a protective effect on hormone-sensitive cancers. However, few studies have investigated the association between dietary phyto-oestrogens and gynaecological cancers. In the present study, we analysed data from two population-based case-control studies of ovarian (1366 cases and 1414 controls) and endometrial (1288 cases and 1435 controls) cancers. Dietary intake information was obtained using a 135-item FFQ, and phyto-oestrogen intake was estimated using published food composition databases. Unconditional logistic regression was used to estimate adjusted OR and 95% CI. In multivariable analyses, there was a suggestive pattern of inverse associations between increasing intakes of total phyto-oestrogens, isoflavones and enterolignans and the risk of ovarian cancer. However, the results only reached statistical significance for the lignan compounds matairesinol and lariciresinol, where the OR for the highest v. the lowest intake category was 0.72 (95% CI 0.54, 0.96; P for trend = 0.02) for matairesinol and 0.72 (95% CI 0.55, 0.96; P for trend = 0.03) for lariciresinol. When the risk of ovarian cancer was assessed by subtype, there was an indication that increasing intakes of phyto-oestrogens may be associated with a decreased risk of mucinous (cases n 158) ovarian tumours (OR for the highest v. the lowest intake category: 0.47 (95% CI 0.24, 0.93); P for trend = 0.04). However, there were no significant associations with other histological subtypes. In contrast, dietary phyto-oestrogens (total or any subclass) were unrelated to the risk of endometrial cancer cases overall or by subtype.

Aspirin, nonsteroidal anti-inflammatory drugs, paracetamol and risk of endometrial cancer: a case-control study, systematic review and meta-analysis.

Aspirin and other nonsteroidal anti-inflammatory drugs (NSAIDs) have been associated with reduced risk of a number of cancer types, however, previous studies of endometrial cancer have yielded inconclusive results. We analyzed data from the Australian National Endometrial Cancer Study (ANECS), a population-based case-control study (1,398 cases, 740 controls). We systematically reviewed all the evidence linking aspirin/NSAIDs use with endometrial cancer and conducted a meta-analysis. For ANECS, unconditional logistic regression was used to estimate odds ratios (OR) adjusting for potential confounders. For the systematic review, we searched Pubmed, Embase, Web of Science and conducted a review of citations from retrieved articles. The meta-analysis risk estimates were pooled using a random-effects model. In our case-control study, women who had ever used aspirin in the last 5 years had a significantly lower risk of endometrial cancer OR = 0.78 [95% confidence interval (CI): 0.63-0.97]. There was a significant inverse dose-response (p-trend <0.001) such that women who reported using ≥2 aspirin/week had almost half the risk OR = 0.54 (0.38-0.78). No significant associations were observed between use of half-aspirin/day, non-aspirin NSAIDs or paracetamol and endometrial cancer risk. The results were similar when examined by cancer subtype. Nine studies were included in the meta-analysis. The overall pooled risk estimate for any versus no use of aspirin was 0.87 (0.79-0.96) with no evidence of heterogeneity. The pooled risk estimate for obese women (BMI ≥ 30 kg/m(2) ) was 0.72 (0.58-0.90) but there was no association for non-obese women. Overall these results suggest that aspirin may reduce the risk of endometrial cancer, particularly among obese women.

Dietary antioxidants and risk of Barrett's esophagus and adenocarcinoma of the esophagus in an Australian population.

While dietary antioxidants are emerging as potentially modifiable risk factors for esophageal adenocarcinoma (EAC), studies on dietary antioxidants and its precursor Barrett's esophagus (BE) are limited. The present study extends previous work on BE by investigating risks of nondysplastic BE, dysplastic BE and EAC associated with intake of antioxidants such as vitamin C, vitamin E, ß-carotene, and selenium. Age and sex matched control subjects (n=577 for BE; n=1,507 for EAC) were sampled from an Australian population register. Information on demography, and well established EAC risk factors were obtained using self-administered questionnaires. Intake of antioxidants for patients newly diagnosed with nondysplastic BE (n=266), dysplastic BE (n=101), or EAC (n=299), aged 18-79 years, were obtained using a food frequency questionnaire. Odds ratios (OR) and 95% confidence intervals (CI) were estimated using multivariable adjusted logistic regression models. High intake of ß-carotene from food and supplement sources combined was inversely associated with risk of dysplastic BE (OR Q4 vs. Q1=0.45; 95%CI: 0.20-1.00). High intake of vitamin E from food sources (OR Q4 vs. Q1=0.43; 95%CI: 0.28-0.67), from food and supplements combined (OR Q4 vs. Q1=0.64; 95%CI: 0.43-0.96), and a high antioxidant index score were inversely associated with risk of EAC. We found no significant trends between intake of ß-carotene, vitamin C, vitamin E, and selenium and risk of nondysplastic or dysplastic BE. However, our data suggest that a high intake of ß-carotene may be associated with decreased risk of dysplastic BE.