{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yu Y"],"funding":["Quzhou Science and technology project","National Natural Science Foundation of China","Medical and Health Science and Technology Project of Zhejiang"],"pagination":["283"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12924579"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["26(1)"],"pubmed_abstract":["<h4>Background</h4>Colorectal cancer (CRC) is the third most common cancer worldwide. Advanced CRC has a grim prognosis, so there is a high demand for an early non-invasive diagnostic biomarker.<h4>Methods</h4>We present a colorectal tissue-serum proteomics approach combined with external database analysis to identify early diagnostic biomarkers specific to CRC. Subsequently, RT-qPCR, PRM, and ELISA experiments were employed to validate the biomarkers in an independent CRC case-control group. Furthermore, in vitro experiments were conducted to investigate the implications of a biomarker on CRC cell phenotyping.<h4>Results</h4>Nine proteins (CA1, HBD, SMPDL3A, HBB, ALAD, S100A4, RAB27B, HBA2, CAT) were identified as potential diagnostic biomarkers. Among them, CA1 and SMPDL3A exhibited CRC "],"journal":["BMC cancer"],"pubmed_title":["Proteome profiling reveals early diagnostic biomarker candidates for colorectal cancer."],"pmcid":["PMC12924579"],"funding_grant_id":["2023KY392","81773503","2022K77"],"pubmed_authors":["Pei B","Ning H","Wang F","Zhang M","Yuan H","Zhao Y","Liu X","Long Z","Xie K","Jiang X","Cao Y","Gao Y","Jia Y","Yu Y","Zhou J","Ye J"],"additional_accession":[]},"is_claimable":false,"name":"Proteome profiling reveals early diagnostic biomarker candidates for colorectal cancer.","description":"<h4>Background</h4>Colorectal cancer (CRC) is the third most common cancer worldwide. Advanced CRC has a grim prognosis, so there is a high demand for an early non-invasive diagnostic biomarker.<h4>Methods</h4>We present a colorectal tissue-serum proteomics approach combined with external database analysis to identify early diagnostic biomarkers specific to CRC. Subsequently, RT-qPCR, PRM, and ELISA experiments were employed to validate the biomarkers in an independent CRC case-control group. Furthermore, in vitro experiments were conducted to investigate the implications of a biomarker on CRC cell phenotyping.<h4>Results</h4>Nine proteins (CA1, HBD, SMPDL3A, HBB, ALAD, S100A4, RAB27B, HBA2, CAT) were identified as potential diagnostic biomarkers. Among them, CA1 and SMPDL3A exhibited CRC ","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Jan","modification":"2026-07-16T14:48:47.672Z","creation":"2026-07-09T11:02:36.224Z"},"accession":"S-EPMC12924579","cross_references":{"pubmed":["41606526"],"doi":["10.1186/s12885-026-15547-9"]}}