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Proteomics analysis of tissue small extracellular vesicles reveals protein panels for the reoccurrence prediction of colorectal cancer.
- Source :
-
Journal of Proteomics . Oct2021, Vol. 249, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
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Abstract
- Many stage II/III colorectal cancer (CRC) patients might relapse after routine treatment and there is a great need of reliable biomarkers for predicting its reoccurrence risk. Small extracellular vesicles (sEVs) could regulate many pathophysiological processes of diseases, which are promising source for biomarker discovery. In this study, we implemented a MS-based workflow that utilizes data-dependent acquisition (DDA) for discovery and parallel reaction monitoring (PRM) for validation of high relapse risk related biomarkers. We compared the protein profiling of sEVs from CRC tissues and paired adjacent tissues in relapsed group (n = 5) and non-relapsed group (n = 5). 417 and 1140 proteins were differentially expressed between the tumor tissues and adjacent tissues in relapsed group and non-relapsed group, respectively. Bioinformatics analysis showed that immunity of the relapsed patients (Z -score − 0.69) was relatively poorer than the non-relapsed patients (Z-score 2.59), while chronic inflammatory response was activated (Z-score 3.0), which might enhance the reoccurrence risk. Four proteins (HLA-DPA1, S100P, NUP205, PCNA) showed significant expressions in the adjacent tissues of the relapsed group by PRM validation. ROC analysis of HLA-DPA1 (AUC = 0.96) achieved the best classification accuracy in separating the relapsed group and the non-relapsed group. Our data demonstrate that tissue-derived sEVs harbor prognostic proteomic signatures of CRC. In this research, our proteomics analysis of tissue sEVs revealed that poor immunity as well as chronic inflammatory of the CRC relapsed patient likely lead to poor prognosis and high risk of reoccurrence. The significant expression levels of four proteins (HLA-DPA1, S100P, NUP205, PCNA) in the adjacent tissues of the relapsed group might be used to predict the risk of relapse in postoperative follow-ups. A MS-based workflow that utilizes DDA for discovery and PRM for validation of high relapse risk related biomarkers of CRC. [Display omitted] • Small extracellular vesicles of colorectal cancer tissues are promising source for novel biomarker discovery. • Our proteomics analysis revealed that the CRC relapsed patients have poor immunity and chronic inflammatory. • Four validated proteins can predict high risk of relapse from low risk ones, showing the reliability for prognostic judgment. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18743919
- Volume :
- 249
- Database :
- Academic Search Index
- Journal :
- Journal of Proteomics
- Publication Type :
- Academic Journal
- Accession number :
- 153238255
- Full Text :
- https://doi.org/10.1016/j.jprot.2021.104347