Colorectal cancer (CRC) is a major public health problem, responsible for 2 million new cases and almost 1 million deaths annually worldwide. In Portugal, as of 2022, CRC is the most common cancer, with 10,575 new cases reported, and the second leading cause of cancer-related mortality, accounting for 4,809 deaths (approximately 14% of all cancer-related deaths). In recent years, there has been an alarming increase in the incidence and mortality of CRC in people \<50 years of age. Early detection is crucial, as survival rates decline sharply from 90% when detected early to just 10% in advanced stages. Non-invasive diagnostic tests, such as the Faecal Immunochemical Test (FIT), have a low sensitivity for early-stage lesions and a high rate of false positives. Therefore, there is an urgent need to improve non-invasive diagnostic methods for the early detection of CRC, as effective screening can prevent it by detecting and removing premalignant lesions. Recent studies suggest that an altered gut microbiota may confer susceptibility to certain types of cancer. Interestingly, the gut microbiota of patients with adenomas or CRC differs from that of healthy individuals. This study aims to identify gut microbiome biomarkers in faecal samples associated with CRC and/or high-risk adenomas to improve early detection.
This study will analyse the gut microbiome in stool samples collected from individuals living in the Lisbon Metropolitan Area, Portugal. Using shotgun metagenomics, the investigators aim to identify microbiome biomarkers associated with the early detection of CRC and the progression of precancerous lesions (adenomas). The identified biomarkers will be tested to develop a non-invasive and highly sensitive screening tool for CRC and precancerous lesions. Primary Objective: To identify gut microbiome biomarkers in faecal DNA associated with CRC and/or high-risk adenomas. Secondary Objectives: i) Establish the correlation between FIT results, faecal microbiome testing and colonoscopy results. ii) Estimate the incidence of CRC in the Lisbon Metropolitan Area among individuals aged 40-74 years, stratified by sex and age group. iii) Analyse associations between clinical data (e.g., clinical history, lifestyle, and dietary habits), faecal microbiome profiles, FIT results, and colonoscopy outcomes, comparing individuals with CRC and/or high-risk adenomas against healthy individuals, for the total sample and by sex and age group; iv) Identify risk factors (e.g., clinical history, lifestyle, dietary habits) associated with CRC development, stratified by sex and age group. Study Design: This is an observational, prospective, longitudinal study involving individuals aged 40-74 years residing in the Lisbon Metropolitan Area who voluntarily enrol in the study. Participants meeting all inclusion criteria and no exclusion criteria (as detailed in the relevant section) will be included. Based on sample size calculations using the Neyman allocation formula and taking as a reference the distribution of the population living in the Lisbon Metropolitan Area (stratified by sex and age groups: 40-49, 50-59, 60-64, 65-69 and 70-74 years), along with assumptions of the overall FIT test prevalence and sensitivity, a total of 30.000 participants will be enrolled. At baseline, participants will provide a faecal sample within 2 to 10 days of enrolment. Demographic, clinical, and lifestyle data-including age, family history of CRC, personal medical history, smoking habits, physical activity levels, stress, and body mass index (BMI)-will be collected via self-administered questionnaires. Dietary habits and adherence to the Mediterranean diet will be assessed through telephone interviews. Participants will be followed for six years, with faecal samples collected every 2 years. Clinical and lifestyle data will also be updated every two years throughout the study period.
Study Type
OBSERVATIONAL
Enrollment
30,000
No intervention: observational study
Gulbenkian Institute for Molecular Medicine
Lisbon, Lisbon District, Portugal
RECRUITINGMicrobiome biomarkers associated with CRC and/or high-risk polyps.
The faecal microbiota composition and gene profiles will be analysed using shotgun metagenomic sequencing on a subset of participants (up to 10,000 samples). Data will be integrated with lifestyle, dietary factors and colonoscopy results to identify biomarkers linked to CRC and adenomas.
Time frame: Baseline and Follow-up every 2 years up to 6 years
Correlation between microbiome biomarkers and FIT results
Faecal microbiome analysis results will be compared with FIT test results to evaluate the predictive value, negative predictive value, and overall effectiveness in detecting CRC in an asymptomatic population.
Time frame: Baseline and Follow-up every 2 years up to 6 years
Effect of diet on CRC risk and gut microbiota composition
Dietary intake will be assessed via telephone interview through two 24-hour recalls, following the protocol validated by the European Food Safety Authority (EFSA).
Time frame: Baseline
Effect of the Mediterranean Diet on CRC risk and gut microbiota composition
Adherence to the Mediterranean Diet will be assessed using the PREvención con DIeta MEDiterránea (PREDIMED) nutritional questionnaire, a validated 14-item tool. Each question is scored either 0 (condition not met) or 1 (condition met), resulting in a total score ranging from 0 to 14 (7). Based on this final score, adherence to the Mediterranean Diet will then be categorised into three groups: low adherence (score \< 5), moderate adherence (score 6-9), and high adherence (score \> 10)
Time frame: Baseline
Effect of physical activity on CRC risk and gut microbiota composition
Physical activity will be assessed using the Nordic Physical Activity Questionnaire-short form, a validated tool composed of two close-ended questions for monitoring adherence to WHO physical activity recommendations. Participants will be categorized as "Below WHO physical activity recommendations" or "Equal to WHO physical activity recommendations"
Time frame: Baseline
Effect of sleeping habits on CRC risk and gut microbiota composition
Sleeping habits will be assessed by the Pittsburgh Sleep Quality Index (PSQI), a validated questionnaire that consists of 19 items which are distributed into seven "components": subjective sleep quality; sleep latency; sleep duration; habitual sleep efficiency; sleep disturbances; use of sleeping medication; day-time dysfunction. Each component is scored from 0 a 2, and the sum of the component scores yields a global PSQI score. A global PSQI score ≥6 will indicate poor sleep quality.
Time frame: Baseline
Effect of stress levels on CRC risk and gut microbiota composition
Stress levels will be assessed by the Perceived Stress Scale, a validated questionnaire composed of 10 questions. Individual scores on the PSS can range from 0 to 40 with higher scores indicating higher perceived stress. Scores ranging from 0-13 will be considered low stress, 14-26 will be considered moderate stress and scores ranging from 27-40 will be considered high perceived stress.
Time frame: Baseline
Risk factors (medical history, lifestyle and dietary habits) associated with CRC and/or high-risk polyps
Eligible participants will be invited to participate every two years over six years. Longitudinal data will identify significant risk factors for the development of CRC or high-risk polyps.
Time frame: Baseline and Follow-up every 2 years up to 6 years
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