ArticleInternational journal of nanomedicine2018
Surface-enhanced Raman spectroscopy of blood serum based on gold nanoparticles for tumor stages detection and histologic grades classification of oral squamous cell carcinoma.
Article in International journal of nanomedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 60 citations in OpenAlex.
- Minimally Invasive Raman Spectroscopy for Detection of Lymph Node Metastasis of Oral Squamous Cell Carcinoma.Journal of biophotonics · 2026Article
- Raman and surface-enhanced Raman spectroscopy for intraoperative cancer diagnostics: sentinel lymph node biopsy, biomarkers and translational challenges.Frontiers in bioengineering and biotechnology · 2026Review
- Applications of nanomaterials in head and neck squamous cell carcinoma: current progress and perspectives.Discover nano · 2025Review
- SERS and Machine Learning-Enabled Liquid Biopsy: A Promising Tool for Early Detection and Recurrence Prediction in Acute Leukemia.ACS omega · 2025Article
- Nanotechnology in the perioperative treatment of head and neck cancer: application and outlook.Frontiers in bioengineering and biotechnology · 2025Review
- Advances in Raman spectroscopy for characterising oral cancer and oral potentially malignant disorders.Expert reviews in molecular medicine · 2024Review
- Intraoperative rapid assessment of the deep muscle surgical margin of tongue squamous cell carcinoma via Raman spectroscopy.Frontiers in bioengineering and biotechnology · 2024Article
- Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy.Cancers · 2023Review
- Review
- Rapid multi-task diagnosis of oral cancer leveraging fiber-optic Raman spectroscopy and deep learning algorithms.Frontiers in oncology · 2023Article
- Micro-Raman spectroscopy study of blood samples from myocardial infarction patients.Lasers in medical science · 2022Article
- Fused Raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics.Scientific reports · 2022Article
- Label-Free Sensing with Metal Nanostructure-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis.ACS applied nano materials · 2022Review
- Analyzing the serum of hemodialysis patients with end-stage chronic kidney disease by means of the combination of SERS and machine learning.Biomedical optics express · 2022Article
- Article
- Applications of Titanium Dioxide Nanostructure in Stomatology.Molecules (Basel, Switzerland) · 2022Review
- Gold nanomaterials for oral cancer diagnosis and therapy: Advances, challenges, and prospects.Materials today. Bio · 2022Article
- Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases.Frontiers in cellular and infection microbiology · 2022Review
- A New Look into Cancer-A Review on the Contribution of Vibrational Spectroscopy on Early Diagnosis and Surgery Guidance.Cancers · 2021Review
- Nanoparticles in Dentistry: A Comprehensive Review.Pharmaceuticals (Basel, Switzerland) · 2021Review
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Tumor stages detection and histologic grades classification are essential for the diagnosis and prognosis of oral squamous cell carcinoma (OSCC). In this research, we apply surface-enhanced Raman spectroscopy (SERS) of blood serum to detect the tumor stages and histologic classification of OSCC. Methods: According to TNM classification and World Health Organization histologic grading system, the blood serum samples were collected from a total of 135 OSCC patients in the different tumor stages and histologic grades. Then the SERS spectra of serum samples from OSCC patients were diagnosed and classified into different groups using principal component analysis (PCA) and linear discriminant analysis (LDA) based on the tumor sizes, lymph node metastasis and histologic grades. Results: The SERS spectra of blood serum samples have shown the distinct changes and differences compared with each other, which were assigned to the biomolecule alterations (nucleic acids, proteins, lipids, and so on) in blood serums. And all accuracies of detection and classification reached above 85%. Conclusion: This study demonstrated that the SERS based on blood serum test had an enormous potential to carry out the preoperative assessment and prediction of the OSCC patients in different tumor stages and histologic classification.
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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.