In this study, investigators collected clinical information, blood, urine and stool for ambient air pollution analysis, blood metabolomics analysis and stool macro-genetic sequencing by including patients from healthy control and colorectal cancer groups, respectively. Environmental factors, metabolomics and intestinal microbiota data were integrated and analysed to screen for indicators that play a key role in colorectal cancer development and construct a colorectal cancer prediction model.