ArticleJournal of cancer research and clinical oncology2019
FTIR-based spectrum of salivary exosomes coupled with computational-aided discriminating analysis in the diagnosis of oral cancer.
Article in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.
What it found
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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
65 citing papers in PubMed, 2 syntheses or guidelines pooled it, 157 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 Oral Squamous Cell Carcinoma and Oral Potentially Malignant Disorders: A Systematic Review.International journal of molecular sciences · 2020Pooled it
- Study of the Spectral-Luminescent Properties of Saliva in Patients With Lung Cancer.Journal of biophotonics · 2026Article
- Flow-cytometric profiling of large extracellular vesicles as immunophenotypic biomarkers in head and neck squamous cell carcinoma.Cancer immunology, immunotherapy : CII · 2026Article
- Expanding the Analytical Toolbox for Extracellular Vesicle Biochemical Profiling: A Multiplatform Spectroscopic and Chromatographic Strategy.Analytical chemistry · 2026Article
- Peri-Implant Crevicular Fluid Analysis by Mid-Infrared Spectroscopy in Peri-Implantitis-A Pilot Study.Clinical oral implants research · 2026Article
- Article
- Characterization of exosomes from hypoxia-activated human amniotic membrane mesenchymal stem cells.Iranian journal of basic medical sciences · 2026Article
- Evaluation of salivary and serum Exosomal mRNAs as biomarkers for the diagnosis and prognosis of oral squamous cell carcinoma.Scientific reports · 2025Article
- Implementation of a Novel Nanobody Panel for the Efficient Capture of Extracellular Vesicles from Human Plasma.Molecules (Basel, Switzerland) · 2025Article
- Review
- Comparative analysis of gingival crevicular fluid and peri-implant crevicular fluid by mid-infrared spectroscopy: a split mouth study.Clinical oral investigations · 2025Article
- Perspectives on the Application of Biosensors for the Early Detection of Oral Cancer.Sensors (Basel, Switzerland) · 2025Review
- Review
- Artificial Intelligence in Head and Neck Surgery.Otolaryngologic clinics of North America · 2024Review
- Role of Exosomes in Salivary Gland Tumors and Technological Advances in Their Assessment.Cancers · 2024Review
- Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024Article
- Spectroscopic insight into breast cancer: profiling small extracellular vesicles lipids via infrared spectroscopy for diagnostic precision.Scientific reports · 2024Article
- New frontiers in salivary extracellular vesicles: transforming diagnostics, monitoring, and therapeutics in oral and systemic diseases.Journal of nanobiotechnology · 2024Review
- Extracellular Vesicles and Hydrogels: An Innovative Approach to Tissue Regeneration.ACS omega · 2024Review
5 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
purposeTo determine the Fourier-transform infrared (FTIR) spectra of salivary exosomes from oral cancer (OC) patients and healthy individuals (HI) and to assess its diagnostic potential using computational-aided models.
methodsWhole saliva samples were collected from 21 OC patients and 13 HI. Exosomes were pelleted using differential centrifugation (12,000g, 120,000g). The mid-infrared (IR) absorbance spectra (900-5000 cm
resultsIR spectra of OC were consistently different from HI at 1072 cm
conclusionWe showed the specific IR spectral signature for OC salivary exosomes, which was accurately differentiated from HI exosomes based on detecting subtle changes in the conformations of proteins, lipids and nucleic acids using optimized artificial neural networks with small data sets. This non-invasive method should be further investigated for diagnosis of oral cancer at its very early stages or in oral lesions with potential for malignant transformation.
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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 OpenQuestion graph.