ArticleEBioMedicine2018
Salivary Glycopatterns as Potential Biomarkers for Screening of Early-Stage Breast Cancer.
Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.
- Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta-analysis.Cancer medicine · 2022Pooled it
- Salivary biomarkers for cancer diagnosis: a meta-analysis.Annals of medicinePooled it
- Extraoral Detection of Biomarkers and Pathogens in Saliva: Comprehensive, Panoramic Review.Biosensors · 2026Review
- Key β1-4 galactosylated glycan receptors of SARS-CoV-2 and its inhibitor from the galactosylated glycoproteins of bovine milk.Journal of advanced research · 2025Article
- Current advances in multi-strategy collaborative sensitization for self-powered electrochemical biosensors and their applications in disease biomarker detection.Mikrochimica acta · 2025Review
- Identification of Salivary Biomarkers in Colorectal Cancer by Integrating Olink Proteomics and Metabolomics.Journal of proteome research · 2025Article
- Deciphering disease through glycan codes: leveraging lectin microarrays for clinical insights.Acta biochimica et biophysica Sinica · 2024Review
- The oral microbiome and oral and upper gastrointestinal diseases.Journal of oral microbiology · 2024Review
- Pregnancy diagnosis and sex identification with urinary glycopatterns of two mammal species.iScience · 2023Article
- Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023Review
- «Salivaomics» of Different Molecular Biological Subtypes of Breast Cancer.Current issues in molecular biology · 2022Article
- Prognostic Value of Salivary Biochemical Indicators in Primary Resectable Breast Cancer.Metabolites · 2022Article
- Elevation of α-1,3 fucosylation promotes the binding ability of TNFR1 to TNF-α and contributes to osteoarthritic cartilage destruction and apoptosis.Arthritis research & therapy · 2022Article
- Potential Diagnostic Significance of Salivary Copper Determination in Breast Cancer Patients: A Pilot Study.Biological trace element research · 2022Article
- Metabolic Features of Saliva in Breast Cancer Patients.Metabolites · 2022Article
- Salivary Glycopatterns as Potential Non-Invasive Biomarkers for Diagnosing and Reflecting Severity and Prognosis of Diabetic Nephropathy.Frontiers in endocrinology · 2022Article
- The Discovery of New Drug-Target Interactions for Breast Cancer Treatment.Molecules (Basel, Switzerland) · 2021Article
- Differential Glycosylation Levels in Saliva from Patients with Lung or Breast Cancer: A Preliminary Assessment for Early Diagnostic Purposes.Metabolites · 2021Article
- Comprehensive analysis of glycosphingolipid glycans by lectin microarrays and MALDI-TOF mass spectrometry.Nature protocols · 2021Article
- Photonics of human saliva: potential optical methods for the screening of abnormal health conditions and infections.Biophysical reviews · 2021Review
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe systematically investigated and assessed the alterations of salivary glycopatterns and possibility as biomarkers for diagnosis of early-stage breast cancer.
designAlterations of salivary glycopatterns were probed using lectin microarrays and blotting analysis from 337 patients with breast benign cyst or tumor (BB) or breast cancer (I/II stage) and 110 healthy humans. Their diagnostic models were constructed by a logistic stepwise regression in the retrospective cohort. Then, the performance of the diagnostic models were assessed by ROC analysis in the validation cohort. Finally, a double-blind cohort was tested to confirm the application potential of the diagnostic models.
resultsThe diagnostic models were constructed based on 9 candidate lectins (e.g., PHA-E+L, BS-I, and NPA) that exhibited significant alterations of salivary glycopatterns, which achieved better diagnostic powers with an AUC value >0.750 (p<0.001) for the diagnosis of BB (AUC: 0.752, sensitivity: 0.600, and specificity: 0.835) and I stage breast cancer (AUC: 0.755, sensitivity: 0.733, and specificity: 0.742) in the validation cohort. The diagnostic model of I stage breast cancer exhibited a high accuracy of 0.902 in double-blind cohort.
conclusionsThis study could contribute to the screening for patients with early-stage breast cancer based on precise alterations of salivary glycopatterns.
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