Consumption of ultra-processed foods and drinks and colorectal, breast, and prostate cancer.

AIMS: To study whether the consumption of ultra-processed foods and drinks is associated with breast, colorectal, and prostate cancers. METHODS: Multicentric population-based case-control study (MCC-Spain) conducted in 12 Spanish provinces. Participants were men and women between 20 and 85 years of age with diagnoses of colorectal (n = 1852), breast (n = 1486), or prostate cancer (n = 953), and population-based controls (n = 3543) frequency-matched by age, sex, and region. Dietary intake was collected using a validated food frequency questionnaire. Foods and drinks were categorized according to their degree of processing based on the NOVA classification. Unconditional multivariable logistic regression was used to evaluate the association between ultra-processed food and drink consumption and colorectal, breast, and prostate cancer. RESULTS: In multiple adjusted models, consumption of ultra-processed foods and drinks was associated with a higher risk of colorectal cancer (OR for a 10% increase in consumption: 1.11; 95% CI 1.04-1.18). The corresponding odds for breast (OR 1.03; 95% CI 0.96-1.11) and prostate cancer (OR 1.02; 95% CI 0.93-1.12) were indicative of no association. CONCLUSIONS: Results of this large population-based case-control study suggest an association between the consumption of ultra-processed foods and drinks and colorectal cancer. Food policy and public health should include a focus on food processing when formulating dietary guidelines.

Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study.

Prostate cancer (PCa) is the second most common cancer among men worldwide. Its etiology remains largely unknown compared to other common cancers. We have developed a risk stratification model combining environmental factors with family history and genetic susceptibility. 818 PCa cases and 1,006 healthy controls were compared. Subjects were interviewed on major lifestyle factors and family history. Fifty-six PCa susceptibility SNPs were genotyped. Risk models based on logistic regression were developed to combine environmental factors, family history and a genetic risk score. In the whole model, compared with subjects with low risk (reference category, decile 1), those carrying an intermediate risk (decile 5) had a 265% increase in PCa risk (OR = 3.65, 95% CI 2.26 to 5.91). The genetic risk score had an area under the ROC curve (AUROC) of 0.66 (95% CI 0.63 to 0.68). When adding the environmental score and family history to the genetic risk score, the AUROC increased by 0.05, reaching 0.71 (95% CI 0.69 to 0.74). Genetic susceptibility has a stronger risk value of the prediction that modifiable risk factors. While the added value of each SNP is small, the combination of 56 SNPs adds to the predictive ability of the risk model.

Perinatal and childhood factors and risk of prostate cancer in adulthood: MCC-Spain case-control study.

BACKGROUND: In utero and early-life exposures are suspected to modulate the risk of prostate cancer. This study examines the influence of certain perinatal and childhood-related factors on prostate cancer risk overall and by Gleason score at biopsy. METHODS: MCC-Spain is a multicase-control study where 1088 histologically-confirmed incident prostate cancer cases (aged 42-85years) and 1345 population-based controls (aged 38-85years), frequency matched by age and province of recruitment, were recruited in 7 Spanish provinces. Self-reported perinatal and childhood-related characteristics were directly surveyed by trained staff. The association with prostate cancer risk, globally and according to Gleason score at biopsy, was evaluated using logistic and multinomial regression mixed models, adjusting for age, family history of prostate cancer, educational level and body mass index one year before the interview, and including the province as a random effect term. RESULTS: Most perinatal factors were not related to prostate cancer risk, with the exception of middle-high socioeconomic level at birth (OR for high grade tumors=1.36; 95%CI=1.09-1.68). Regarding puberty, risk rose by 6% for each year of delayed onset (OR=1.06; 95%CI=1.01-1.10; p trend=0.016), with a clear excess of risk in men who reached puberty after age 15 (OR:1.35; 95%CI=1.08-1.68). A borderline significant positive association with prepubertal height was also observed (p trend=0.094). CONCLUSION: Some exposures experienced in utero and during adolescence, when the prostate is still maturing, might be relevant for prostate cancer risk in adulthood.