ArticleJournal of cancer research and clinical oncology2023
Exploring salivary exosomes as early predictors of oral cancer in susceptible tobacco consumers: noninvasive diagnostic and prognostic applications.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Salivary Extracellular Vesicles in Detection of Head and Neck Cancers: A Systematic Review.International journal of nanomedicine · 2025Pooled it
- Extracellular Vesicles in Head and Neck Cancer-A Systematic Review.Journal of extracellular biology · 2026Review
- Ultrasensitive detection of oral cancer biomarkers CD63 and CD44 in exosomes using janus particles: a rotational diffusometry-based assay.The Saudi dental journal · 2026Article
- Molecular and Genetic Pathogenesis of Oral Cancer: A Basis for Customized Diagnosis and Treatment.Biology · 2025Review
- The Design of a Multistage Monitoring Protocol for Dendritic Cell-Derived Exosome (DEX) Immunotherapy: A Conceptual Framework for Molecular Quality Control and Immune Profiling.International journal of molecular sciences · 2025Article
- Exosomal Biomarkers: A Comprehensive Overview of Diagnostic and Prognostic Applications in Malignant and Non-Malignant Disorders.Biomolecules · 2025Review
- The potential of exosomes in regenerative medicine and in the diagnosis and therapies of neurodegenerative diseases and cancer.Frontiers in medicine · 2025Review
- AI illuminates paths in oral cancer: transformative insights, diagnostic precision, and personalized strategies.EXCLI journal · 2024Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSalivary exosome analysis provides a noninvasive and comprehensive approach with potential applications in oral cancer diagnosis and prognosis. The early detection of oral cancer has remained a critical concern in enhancing the quality of life, especially for individuals who consume tobacco and are at greater risk of developing the disease. The current study investigates the potential of salivary exosomes in screening smokers for early signs and transformations of oral cancer.
methodsMorphological characterization of salivary exosomes among three study groups (non-smokers as control, smokers as high-risk tobacco consumers, and Oral cancer) (n = 120) was carried out through dynamic light scattering, and nanoparticle tracking analysis. For molecular characterization, EXOCET and Fourier transform infrared spectroscopy methods were utilized. The expression of the exosomal surface protein CD63 was evaluated using Western blotting.
resultsSalivary exosomes exhibit noticeable differences in size between control group and tobacco consumers. The differentiation extended beyond exosome size and included variations in concentration and bio-molecular composition, as determined by FTIR screening. Tobacco consumers and oral cancer groups showed significantly larger and more concentrated exosomes compared to the healthy group.
conclusionOur study provides strong evidence that the properties of salivary exosomes can serve as reliable noninvasive biomarkers for distinguishing tobacco consumers from non-smokers and oral cancer patients. Our results underscore the potential of exosome-based diagnostics in early oral cancer detection for high-risk individuals. The larger size and higher concentration of exosomes in tobacco consumers indicate early changes in cell secretions associated with the transformation from healthy to abnormal cells.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.