ArticleClinical proteomics2023
New mechanisms and biomarkers of lymph node metastasis in cervical cancer: reflections from plasma proteomics.
Article in Clinical proteomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- LOXL1-AS1 suppresses ferroptosis in cervical cancer through m6A-dependent regulation of TFRC.Journal of molecular histology · 2025Article
- A gene-based predictive model for lymph node metastasis in cervical cancer: superior performance over imaging techniques.Journal of translational medicine · 2025Article
- The TFRC as a prognostic biomarker and potential therapeutic target in cervical cancer: a preliminary study.Frontiers in oncology · 2025Article
- Nab-paclitaxel plus platinum versus paclitaxel plus platinum as first-line therapy in patients with metastatic or recurrent cervical cancer.Journal of cancer research and clinical oncology · 2024Article
- A nomogram of preoperative indicators predicting lymph vascular space invasion in cervical cancer.Archives of gynecology and obstetrics · 2024Article
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveLymph node metastasis (LNM) and lymphatic vasculature space infiltration (LVSI) in cervical cancer patients indicate a poor prognosis, but satisfactory methods for diagnosing these phenotypes are lacking. This study aimed to find new effective plasma biomarkers of LNM and LVSI as well as possible mechanisms underlying LNM and LVSI through data-independent acquisition (DIA) proteome sequencing.
methodsA total of 20 cervical cancer plasma samples, including 7 LNM-/LVSI-(NC), 4 LNM-/LVSI + (LVSI) and 9 LNM + /LVSI + (LNM) samples from a cohort, were subjected to DIA to identify differentially expressed proteins (DEPs) for LVSI and LNM. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed for DEP functional annotation. Protein-protein interaction (PPI) and weighted gene coexpression network analysis (WGCNA) were used to detect new effective plasma biomarkers and possible mechanisms.
resultsA total of 79 DEPs were identified in the cohort. GO and KEGG analyses showed that DEPs were mainly enriched in the complement and coagulation pathway, lipid and atherosclerosis pathway, HIF-1 signal transduction pathway and phagosome and autophagy. WGCNA showed that the enrichment of the green module differed greatly between groups. Six interesting core DEPs (SPARC, HPX, VCAM1, TFRC, ERN1 and APMAP) were confirmed to be potential plasma diagnostic markers for LVSI and LNM in cervical cancer patients.
conclusionProteomic signatures developed in this study reflected the potential plasma diagnostic markers and new possible pathogenesis mechanisms in the LVSI and LNM of cervical cancer.
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