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Stool proteomics for improving colorectal cancer screening

ABSTRACT: This proof-of-concept study aimed to evaluate the potential of proteomics-based screening, using label-free quantitative proteomic data obtained through SWATH analysis of residual FIT samples, as a triage tool for patients referred for colonoscopy following a positive fecal immunochemical test (FIT). Bioinformatics approaches, including machine learning, were employed to identify potential predictive biomarkers and develop models to distinguish advanced adenomas (AA) and colorectal cancer (CRC) from control samples.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Feces

DISEASE(S): Colon Cancer

SUBMITTER: David Gagne

LAB HEAD: Jean-François Beaulieu

PROVIDER: PXD066834 | Pride | 2026-02-23

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	FIT_SWATH_Wiff_Part1_files.zip	Other
	FIT_SWATH_Wiff_Part2_files.zip	Other
	Precusor_DIANN_report.pr_matrix_results.tsv	Tabular
	Protein_DIANN_report.pg_matrix_results.tsv	Tabular
	Sample_name_to_wiff_file_name_list.xlsx	Xlsx

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