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Updated: Jan 17, 2026

Author Spotlight: Advancing EVtrap for High-Throughput Proteomics in Disease Biomarker Discovery
Published on: October 27, 2023
Identification of Colorectal Cancer-Associated Protein Signatures in Small Extracellular Vesicles Based on Proteomics
Xiaoqing Ding1,2, Xuan Huang1, Junfeng Jiang1,3
1Department of Laboratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi 214062, China.
Abstract:
The clinical management of colorectal cancer (CRC) urgently requires more accurate serum protein biomarkers. While conventional proteomic approaches are hindered by the high abundance of resident blood proteins, this study utilized a highly sensitive four-dimensional label-free quantitative (4D-LFQ) proteomic strategy to analyze the protein cargo of small extracellular vesicles (sEVs). We purified sEVs via ultracentrifugation from pooled serum samples of 76 CRC patients and 40 healthy controls, alongside seven paired CRC tumors and adjacent normal tissues. A total of 1187 high-confidence proteins were identified in serum sEVs using 4D-LFQ analysis. Validation in an independent cohort using four-dimensional parallel reaction monitoring (4D-PRM) confirmed the significant elevation of six candidate proteins (ANXA11, ANXA5, CALR, KPNB1, OIT3, and OLFM4) in CRC sEVs. These candidates exhibited strong diagnostic performance (AUCs 0.769 - 0.869). Crucially, in early-stage CRC, the sEV candidate proteins were significantly elevated compared to controls (p < 0.001), whereas conventional markers CEA and CA19-9 failed to discriminate (p > 0.05). A logistic regression model combining the five available sEV proteins and two conventional markers demonstrated 78.26% sensitivity and 96.67% specificity for early detection (AUC = 0.961). Our findings nominate these sEV protein signatures as promising noninvasive biomarkers for CRC diagnosis.

