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Proteomics-based identification of proteins in tumor-derived exosomes as candidate biomarkers for colorectal cancer

Ge-Yu-Jia Zhou, Dongyan Zhao, Tengfei Yin, Qianqian Wang, Yuan-Chen Zhou, Shukun Yao

2023World Journal of Gastrointestinal Oncology11 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Colorectal cancer (CRC) is the second leading cause of cancer-related death, with high morbidity worldwide. There is an urgent need to find reliable diagnostic biomarkers of CRC and explore the underlying molecular mechanisms. Exosomes are involved in intercellular communication and participate in multiple pathological processes, serving as an important part of the tumor microenvironment. AIM: To investigate the proteomic characteristics of CRC tumor-derived exosomes and to identify candidate exosomal protein markers for CRC. METHODS: In this study, 10 patients over 50 years old who were diagnosed with moderately differentiated adenocarcinoma were recruited. We paired CRC tissues and adjacent normal intestinal tissues (> 5 cm) to form the experimental and control groups. Purified exosomes were extracted separately from each tissue sample. Data-independent acquisition mass spectrometry was implemented in 8 matched samples of exosomes to explore the proteomic expression profiles, and differentially expressed proteins (DEPs) were screened by bioinformatics analysis. Promising exosomal proteins were verified using parallel reaction monitoring (PRM) analysis in 10 matched exosome samples. RESULTS: < 0.05) for NHP2, OLFM4, TOP1, SAMP, TAGL, and TRIM28, respectively, indicating their good ability to distinguish CRC tissues from adjacent intestinal tissues. CONCLUSION: In our study, comprehensive proteomic profiles were obtained for CRC tissue exosomes. Six exosomal proteins, NHP2, OLFM4, TOP1, SAMP, TAGL and TRIM28, may be promising diagnostic markers and effective therapeutic targets for CRC, but further experimental investigation is needed.

Topics & Concepts

MicrovesiclesProteomicsColorectal cancerExosomeProteomeMedicineQuantitative proteomicsCancer researchCancerBioinformaticsmicroRNAComputational biologyBiologyInternal medicineGeneticsGeneExtracellular vesicles in diseaseFerroptosis and cancer prognosisCancer-related molecular mechanisms research