ArticleBMC cancer2025
Integrative analysis of saliva-derived exosomal proteome and lipidome for the diagnosis of esophageal squamous cell carcinoma.
Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- LncRNA DLGAP1-AS2 promotes ESCC progression and indicates unfavorable prognosis via the miR-101-3p/EZH2 axis.Discover oncology · 2026Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundEarly diagnosis of esophageal squamous cell carcinoma (ESCC) is crucial for improving patient prognosis. Currently, the diagnosis of ESCC primarily relies on endoscopic biopsy. Salivary exosomes have shown great potential in non-invasive screening, but their proteomic and lipidomic characteristics remain to be reported.
methodsExosomes were isolated from salivary samples of 54 patients with ESCC and 62 healthy controls using ultracentrifugation, and subsequently subjected to non-targeted proteomic and lipidomic analysis by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Differentially expressed proteins and lipids in salivary exosomes were identified through differential analysis, and a comprehensive analysis of multi-omics data was performed using correlation analysis.
resultsSignificant proteomic and lipidomic differences were observed between ESCC patients and healthy controls. The proteomic characteristics of ESCC were primarily manifested in immune responses, disruption of tissue structural homeostasis, and enhanced antifungal and antimicrobial humoral immune responses. Through multi-omics analysis, we found that ESCC may regulate fatty acid metabolism by modulating epigenetic modifications, thereby influencing the oral immune microenvironment. Finally, a diagnostic model constructed using 28 lipid features achieved excellent diagnostic performance (Are Under the Curve = 1.000) for ESCC diagnosis.
conclusionsOur study revealed significant alterations in the proteomic and lipidomic profiles of the oral microenvironment in ESCC patients, which may provide new insights into the development and progression of ESCC. We found that lipid features have high potential for diagnosing ESCC, providing support for further validation in larger cohorts.
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