4.7 Article

Differential Urinary Proteomic Analysis of High-Risk Cervical Intraepithelial Neoplasia

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MDPI
DOI: 10.3390/ijms24032531

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urine; cervical intraepithelial neoplasia; extracellular matrix; heparan sulfate proteoglycans; proteomic analysis

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HPV-associated lesions and malignancies have changes in the composition and functionality of the extracellular matrix (ECM), affecting the interactions between infection and disease. A study analyzed urine samples from cervical intraepithelial neoplasia grade 3 (CIN3) patients and healthy controls using label-free quantitative analysis and found significant changes in 48 proteins. The down-regulation of ECM-receptor interaction proteins in the CIN3 group may play a role in the development and progression of cervical cancer.
Human papillomavirus (HPV)-associated lesions and malignancies exhibit alterations in the composition and functionality of the extracellular matrix (ECM) that represent the complex molecular pathways present between infection and disease. A total of 20 urine samples were used, including from 10 patients with cervical intraepithelial neoplasia grade 3 (CIN3) and 10 healthy controls to perform the label-free quantitative analysis using the nano-HPLC and ESI-MS ion trap mass analyzer and matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF/MS) fast screening. Among 476 identified/quantified proteins, 48 were significantly changed (log(2)-fold change >= 1.0 or <=-1.0, -log10 (bbinominal, p-value >= 1.3), of which were 40 proteins (down-regulated) and 8 proteins (up-regulated) in CIN3, in comparison to healthy controls. The biological function and key pathway enrichment of the gene set using gen set enrichment analysis (GSEA) were analyzed. The ECM-receptor interaction pathway (NES = -1.64, p = 0.026) was down-regulated by 13 proteins (HSPG2, COL6A1, COL6A3, SPP1, THBS1, TNC, DAG1, FN1, COMP, GP6, VTN, SDC1, and CD44; log(2) FC range from -0.03 to -1.48) for the CIN3 group in the KEGG database. The MALDI-TOF/MS screening showed the difference of protein profiles between the control and CIN3 groups, i.e., using the scatter plot with a well-separated shape, as well as effectively distinguishing both groups (control and CIN3) using genetic algorithms (GA) with cross-validation (51.56%) and recognition capability (95.0%). Decreased levels of ECM-receptor interaction proteins may cause disturbances in the interactions of cells with the ECM and play an important role in the development and progression of cervical cancer.

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