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Proteomics-Based Mapping of the Lymph Node Metastasis Landscape in Cervical Cancer

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NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Proteomics-Based_Mapping_of_the_Lymph_Node_Metastasis_Landscape_in_Cervical_Cancer/30104174
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Lymph node metastasis (LNM) in cervical cancer is a critical determinant of the disease progression and prognosis. Elucidating its molecular mechanisms and identifying specific biomarkers are crucial for optimizing treatment. DIA-based quantitative proteomic sequencing was conducted on 49 cervical cancer patients. We screened differentially expressed proteins and performed functional enrichment, pathway scoring, time-series analysis, protein interaction studies, and integrated proteomic and TCGA transcriptomic data to identify biomarkers. 56 genes showed consistent expression trends, with 2 upregulated (SERPINB5, FABP5) and 54 downregulated (including ZNF512). Novel findings include activation of unsaturated fatty acid/steroid biosynthesis and inhibition of cell junction pathways during progression. Lymphovascular space invasion (LVSI) precedes LNM, but a subset of LNM cases lacks LVSI and exhibits a unique cholesterol metabolism activation. SERPINB5, FABP5, and ZNF512 were validated as potential prognostic and LNM-predictive biomarkers. DIA proteomics characterized cervical cancer lymph node metastasis, revealing molecular changes and potential biomarkers and offering new insights into its biological mechanisms.
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2025-09-11
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