Tissue-derived exosome proteomics identifies promising diagnostic biomarkers for esophageal cancer

• Published in: eLife Vol. 12
• Main Authors: Rao, Dingyu, Lu, Hua, Wang, Xiongwei, Lai, Zhonghong, Zhang, Jiali, Tang, Zhixian
• Format: Journal Article
• Language: English
• Published: England eLife Sciences Publications Ltd 15.11.2023
• Subjects: Antigens; Bioinformatics; Biomarkers; Cancer; CD54; Cell adhesion; Diagnosis; Digestive system diseases; Esophageal cancer; Exosomes; Extracellular vesicles; Flow cytometry; Hypothesis testing; Immunohistochemistry; Intercellular adhesion molecule 1; Medical diagnosis; Medical prognosis; Metastases; Metastasis; Patients; Plasma; Protein expression; Proteins; Proteomics; RNA-mediated interference; siRNA; Wound healing; esophageal cancer; biomarkers; exosomes; diagnosis; cancer biology; medicine; human; CD54
• ISSN: 2050-084X; 2050-084X
• DOI: 10.7554/eLife.86209

Esophageal cancer (EC) is a fatal digestive disease with a poor prognosis and frequent lymphatic metastases. Nevertheless, reliable biomarkers for EC diagnosis are currently unavailable. Accordingly, we have performed a comparative proteomics analysis on cancer and paracancer tissue-derived exosomes from eight pairs of EC patients using label-free quantification proteomics profiling and have analyzed the differentially expressed proteins through bioinformatics. Furthermore, nano-flow cytometry (NanoFCM) was used to validate the candidate proteins from plasma-derived exosomes in 122 EC patients. Of the 803 differentially expressed proteins discovered in cancer and paracancer tissue-derived exosomes, 686 were up-regulated and 117 were down-regulated. Intercellular adhesion molecule-1 (CD54) was identified as an up-regulated candidate for further investigation, and its high expression in cancer tissues of EC patients was validated using immunohistochemistry, real-time quantitative PCR (RT-qPCR), and western blot analyses. In addition, plasma-derived exosome NanoFCM data from 122 EC patients concurred with our proteomic analysis. The receiver operating characteristic (ROC) analysis demonstrated that the AUC, sensitivity, and specificity values for CD54 were 0.702, 66.13%, and 71.31%, respectively, for EC diagnosis. Small interference (si)RNA was employed to silence the CD54 gene in EC cells. A series of assays, including cell counting kit-8, adhesion, wound healing, and Matrigel invasion, were performed to investigate EC viability, adhesive, migratory, and invasive abilities, respectively. The results showed that CD54 promoted EC proliferation, migration, and invasion. Collectively, tissue-derived exosomal proteomics strongly demonstrates that CD54 is a promising biomarker for EC diagnosis and a key molecule for EC development.