ArticleInternational journal of nanomedicine2015
Surface-enhanced Raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors.
Article in International journal of nanomedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta-analysis.Cancer medicine · 2022Pooled it
- Vibrational Spectroscopy Saliva Profiling as Biometric Tool for Disease Diagnostics: A Systematic Literature.Molecules (Basel, Switzerland) · 2020Pooled it
- Salivary biomarkers for diagnosis of systemic diseases and malignant tumors. A systematic review.Medicina oral, patologia oral y cirugia bucal · 2020Pooled it
- Salivary MicroRNA for Diagnosis of Cancer and Systemic Diseases: A Systematic Review.International journal of molecular sciences · 2020Pooled it
- Extraoral Detection of Biomarkers and Pathogens in Saliva: Comprehensive, Panoramic Review.Biosensors · 2026Review
- Precision oncology through SERS: emerging approaches for improved cancer diagnosis and prognosis.Nanomedicine (London, England) · 2025Article
- A Comprehensive Review on Plant-Based Medications and Chemical Approaches for Autism Spectrum Disorders (ASDs) Psychopharmacotherapy.Indian journal of microbiology · 2025Article
- Understanding the Interaction of Röntgen Radiation Employed in Computed Tomography/Cone Beam Computed Tomography Investigations of the Oral Cavity by Means of Surface-Enhanced Raman Spectroscopy Analysis of Saliva.Sensors (Basel, Switzerland) · 2024Article
- Scientific Advances in Cancer Detection Using Raman Spectroscopy.Asian Pacific journal of cancer prevention : APJCP · 2024Review
- Detection of SARS-CoV-2 N protein using AgNPs-modified aligned silicon nanowires BioSERS chip.RSC advances · 2024Article
- Label-Free SERS and MD Analysis of Biomarkers for Rapid Point-of-Care Sensors Detecting Head and Neck Cancer and Infections.Sensors (Basel, Switzerland) · 2023Article
- Salivary pellicle modulates biofilm formation on titanium surfaces.Clinical oral investigations · 2023Article
- Accurate age-grading of field-aged mosquitoes reared under ambient conditions using surface-enhanced Raman spectroscopy and artificial neural networks.Journal of medical entomology · 2023Article
- Developing New Diagnostic Tools Based on SERS Analysis of Filtered Salivary Samples for Oral Cancer Detection.International journal of molecular sciences · 2023Article
- Dysplasia and tumor discrimination in brain tissues by combined fluorescence, Raman, and diffuse reflectance spectroscopies.Biomedical optics express · 2023Article
- Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques.Biosensors · 2023Review
- Discrimination of leukemias and non-leukemic cancers in blood serum samples of children and adolescents using a Raman spectral model.Lasers in medical science · 2022Article
- Machine Learning Assisted Real-Time Label-Free SERS Diagnoses of Malignant Pleural Effusion due to Lung Cancer.Biosensors · 2022Article
- Rapid Detection of Amitriptyline in Dried Blood and Dried Saliva Samples with Surface-Enhanced Raman Spectroscopy.Sensors (Basel, Switzerland) · 2022Article
- Label-Free Sensing with Metal Nanostructure-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis.ACS applied nano materials · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
The capability of saliva protein analysis, based on membrane protein purification and surface-enhanced Raman spectroscopy (SERS), for detecting benign and malignant breast tumors is presented in this paper. A total of 97 SERS spectra from purified saliva proteins were acquired from samples obtained from three groups: 33 healthy subjects; 33 patients with benign breast tumors; and 31 patients with malignant breast tumors. Subtle but discernible changes in the mean SERS spectra of the three groups were observed. Tentative assignments of the saliva protein SERS spectra demonstrated that benign and malignant breast tumors led to several specific biomolecular changes of the saliva proteins. Multiclass partial least squares-discriminant analysis was utilized to analyze and classify the saliva protein SERS spectra from healthy subjects, benign breast tumor patients, and malignant breast tumor patients, yielding diagnostic sensitivities of 75.75%, 72.73%, and 74.19%, as well as specificities of 93.75%, 81.25%, and 86.36%, respectively. The results from this exploratory work demonstrate that saliva protein SERS analysis combined with partial least squares-discriminant analysis diagnostic algorithms has great potential for the noninvasive and label-free detection of breast cancer.
Indexed as
Identifiers
What OpenQuestion holds
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.