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Background: Capecitabine is an oral chemotherapeutic drug showing antitumor activity through inhibition of thymidylate synthase, an enzyme involved in folate metabolism. There are concerns about the high intake of certain vitamins, and specifically folate, during chemotherapy with capecitabine. Whether folate or folic acid, the synthetic variant of the vitamin, impact treatment toxicity remains unclear. Objective: We studied associations between intake and biomarkers of folate as well as folic acid and toxicities in patients with colorectal cancer (CRC) receiving capecitabine. Methods: Within the prospective COLON (Colorectal cancer: Longitudinal, Observational study on Nutritional and lifestyle factors that influence recurrence, survival, and quality of life) cohort, 290 patients with stage II to III CRC receiving capecitabine were identified. Dietary and supplemental intake of folate and folic acid were assessed at diagnosis and during chemotherapy using questionnaires (available for 280 patients). Plasma folate and folic acid levels were determined by liquid chromatography tandem mass spectrometry (LC-MS/MS) and were available for 212 patients. Toxicities were defined as toxicity-related modifications of treatment, including dose reductions, regimen switches, and early discontinuation. Associations of intake and biomarkers of folate and folic acid with toxicities were determined using Cox proportional hazards regression adjusted for age and sex. Results: In total, 153 (53%) patients experienced toxicities leading to modification of capecitabine treatment. Folate intake and plasma folate levels were not associated with risk of toxicities. However, use of folic acid-containing supplements during treatment (hazard ratio (HR) 1.81 and 95% confidence interval (CI) 1.15-2.85) and presence of folic acid in plasma at diagnosis (HR 2.09, 95% CI: 1.24, 3.52) and during treatment (HR 2.31, 95% CI: 1.29, 4.13) were associated with an increased risk of toxicities. Conclusions

Objective: To study physical activity and dietary intake among patients with ovarian cancer and to examine which demographic, clinical, and sociocognitive determinants are associated with these behaviours. Methods: This cross-sectional study included 139 patients with ovarian cancer scheduled for (neo)adjuvant chemotherapy. Physical activity was measured with the Physical Activity Scale for the Elderly questionnaire (PASE). Dietary intake was measured with a questionnaire assessing energy and protein intake and a questionnaire assessing adherence to the World Cancer Research Fund (WCRF) lifestyle recommendations. Demographic, clinical, and sociocognitive (e.g., self-efficacy) determinants of physical activity and dietary intake were examined using backward linear regression analyses. Results: Patients reported a median PASE score of 50 (IQR 24–94), a mean ± SD dietary intake of 1831 ± 604 kcal/day and 76 ± 27 g protein/day. Patients adhered to 3 out of 5 WCRF lifestyle recommendations. The absence of comorbidities, lower physical outcome expectations, and higher cancer specific outcome expectations were independently associated with higher physical activity levels. Higher age, lower cancer specific outcome expectations, and higher diet-related self-efficacy were significantly associated with adhering to more WCRF lifestyle recommendations, whilst no variables associated with total caloric or protein intake were identified. Conclusions: Patients with ovarian cancer have low physical activity levels and a suboptimal diet, particularly low fruit and vegetable consumption and dietary fibre intake. Interventions aiming to improve physical activity and dietary intake could focus on increasing self-efficacy and outcome expectations, and should consider age and comorbidity as factors that may impact behaviour. Trial registration: Netherlands Trial Registry NTR6300.

Introduction: Physical activity (PA) is associated with higher quality of life and probably better prognosis among colorectal cancer (CRC) patients. This study focuses on determinants of PA among CRC patients from diagnosis until five years post-diagnosis.Methods: Sociodemographic and disease-related factors of participants of two large CRC cohort studies were combined. Moderate-to-vigorous PA during sport and leisure time (MVPA-SL) was measured at diagnosis (T0) and six, twelve, twenty-four, and sixty (T6 to T60) months post-diagnosis, using the SQUASH questionnaire. Mixed-effects models were performed to identify sociodemographic and disease-related determinants of MVPA-SL, separately for stage I-III colon (CC), stage I-III rectal cancer (RC), and stage IV CRC (T0 and T6 only). Associations were defined as consistently present when significant at ≥4 timepoints for the stage I-III subsets. MVPA-SL levels were compared with an age- and sex-matched sample of the general Dutch population.Results: In total, 2905 CC, 1459 RC and 436 stage IV CRC patients were included. Patients with higher fatigue scores, and women compared to men had consistently lower MVPA-SL levels over time, regardless of tumor type and stage. At T6, having a stoma was significantly associated with lower MVPA-SL among stage I-III RC patients. Systemic therapy and radiotherapy were not significantly associated with MVPA-SL changes at T6. Compared to the general population, MVPA-SL levels of CRC patients were lower at all timepoints, most notably at T6.Conclusions: Female sex and higher fatigue scores were consistent determinants of lower MVPA-SL levels among all CRC patients, and MVPA-SL levels were lowest at six months post-diagnosis. Our results can inform the design of intervention studies aimed at improving PA, and guide healthcare professionals in optimizing individualized support.

Purpose: Higher dairy consumption is associated with a lower risk of colorectal cancer (CRC), but no studies thus far have investigated its relation with recurrence in CRC. Few studies have investigated total dairy in relation to mortality in CRC, and yielded inconsistent results. Methods: In this prospective cohort study, people newly diagnosed with stage I-III CRC filled out a food frequency questionnaire at diagnosis (n = 1812) and six months after diagnosis (n = 1672). We examined associations between pre- and post-diagnostic intake of total dairy, low-fat dairy, high-fat dairy, milk, yoghurt, and cheese with recurrence and all-cause mortality using multivariable Cox proportional hazard models and restricted cubic splines (RCS). Results: A total of 176 recurrences and 301 deaths occurred during a median follow-up of 3.0 and 5.9 years, respectively. Before diagnosis, a higher low-fat dairy intake was associated with a lower risk of recurrence (HRQ4vsQ1: 0.42, 95% CI 0.26–0.67; PRCS: 0.008) and all-cause mortality (HRQ4vsQ1: 0.58, 95% CI 0.41–0.81; PRCS < 0.001), whereas a higher high-fat dairy consumption tended to be associated with an increased all-cause mortality risk (HRQ4vsQ1: 1.41, 95% CI 0.98–2.01; PRCS: 0.030). After diagnosis, only the associations between low- and high-fat dairy in relation to all-cause mortality remained. Conclusions: This study demonstrated that higher pre- and post-diagnostic intakes of low-fat dairy were associated with a reduced all-cause mortality risk in people with stage I-III CRC, whereas higher intakes of high-fat dairy were associated with an increased all-cause mortality risk. Also, a higher pre-diagnostic low-fat dairy intake was associated with a reduced risk of recurrence. Trial registration: Clinical Trials.gov identifier: NCT03191110.

Introduction: In 2018, The World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) published ten evidence-based Cancer Prevention Recommendations designed to reduce the risk of cancer via improved lifestyle behaviours. In 2019, Shams-White and colleagues created the “2018 WCRF/AICR Score” which aimed to standardise how adherence to these recommendations is assessed. The standardised scoring system includes seven of the recommendations concerning weight, physical activity and diet, with an optional eighth recommendation on breastfeeding. To promote transparency and reproducibility, the present paper describes the methodology for operationalisation of the standardised scoring system in the UK Biobank. Methods: UK Biobank recruited >500,000 individuals aged 37–73 years, between 2006 and 2010. In 2021, we held a workshop with experts which aimed to reach consensus on how to operationalise the scoring system using data available within UK Biobank. We used data on anthropometric measurements, physical activity and diet to calculate adherence scores. 24 h dietary assessment data were used to measure adherence to the following recommendations: “Eat a diet rich in wholegrains, vegetables, fruit, and beans”, “Limit consumption of “fast foods” and other processed foods high in fat, starches or sugars” and “Limit consumption of sugar-sweetened drinks”; food frequency questionnaire data were used to assess adherence to “Limit consumption of red and processed meat” and “Limit alcohol consumption”. Participants were allocated points for meeting, partially meeting or not meeting each recommendation, using cut-offs defined in the standardised scoring system. Results: At our workshop, discussions included the use of national guidelines to assess adherence to the recommendation on alcohol consumption, as well as challenges faced including defining the adapted ultra-processed food variables. A total score was calculated for 158,415 participants (mean 3.9 points