ArticleOncotarget2017
Salivary glycopatterns as potential biomarkers for diagnosis of gastric cancer.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- Gastric cancer detection by non-blood-based liquid biopsies: A systematic review looking into the last decade of research.United European gastroenterology journal · 2023Pooled it
- Salivary biomarkers for diagnosis of systemic diseases and malignant tumors. A systematic review.Medicina oral, patologia oral y cirugia bucal · 2020Pooled it
- Salivary biomarkers for cancer diagnosis: a meta-analysis.Annals of medicinePooled it
- Review
- Extraoral Detection of Biomarkers and Pathogens in Saliva: Comprehensive, Panoramic Review.Biosensors · 2026Review
- Harnessing technologies to unravel gastric cancer heterogeneity.Trends in cancer · 2025Review
- Potential biomarkers in early detection of gastric cancer.Frontiers in pharmacology · 2025Review
- Deciphering disease through glycan codes: leveraging lectin microarrays for clinical insights.Acta biochimica et biophysica Sinica · 2024Review
- Liquid Biopsy: An Emerging Diagnostic, Prognostic, and Predictive Tool in Gastric Cancer.Journal of gastric cancer · 2024Review
- Circulating Proteins as Diagnostic Markers in Gastric Cancer.International journal of molecular sciences · 2023Review
- Changes in the salivary metabolome in patients with chronic erosive gastritis.BMC gastroenterology · 2023Article
- Evaluation of CSTB and DMBT1 expression in saliva of gastric cancer patients and controls.BMC cancer · 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
- Salivary Glycopatterns as Potential Non-Invasive Biomarkers for Diagnosing and Reflecting Severity and Prognosis of Diabetic Nephropathy.Frontiers in endocrinology · 2022Article
- Biomarkers for Gastric Cancer Screening and Early Diagnosis.Biomedicines · 2021Review
- Comprehensive analysis of glycosphingolipid glycans by lectin microarrays and MALDI-TOF mass spectrometry.Nature protocols · 2021Article
- The Abnormal Glycopatterns of Salivary Glycoproteins in Esophageal Squamous Cell Carcinoma Patients.Frontiers in chemistry · 2021Article
- Integrated glycomics strategy for the evaluation of glycosylation alterations in salivary proteins associated with type 2 diabetes mellitus.RSC advances · 2020Article
- Application of Lectin Microarrays for Biomarker Discovery.ChemistryOpen · 2020Review
- Alterations in serum protein glycopatterns related to small cell lung cancer, adenocarcinoma and squamous carcinoma of the lung.RSC advances · 2020Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer (GC) is still an extremely severe health issue with high mortality due to the lacking of effective biomarkers. In this study, we aimed to investigate the alterations of salivary protein glycosylation related to GC and assess the possibility of salivary glycopatterns as potential biomarkers for the diagnosis of GC. Firstly, 94 patients with GC (n = 64) and atrophic gastritis (AG) (n = 30), as well as 30 age- and sex-matched healthy volunteers (HV) were enrolled in the test group to probe the difference of salivary glycopatterns using lectin microarrays, the results were validated by saliva microarrays and lectin blotting analysis. Then, the diagnostic model of GC (Model GC) and AG (Model AG) were constructed based on 15 candidate lectins which exhibited significant alterations of salivary glycopattern by logistic stepwise regression. Finally, two diagnostic models were assessed in the validation group including HV (n = 30) and patients with GC (n = 23) and AG (n = 24) and achieved high diagnostic power (Model GC (AUC: 0.89, sensitivity: 0.96 and specificity: 0.80), Model AG (AUC: 0.83, sensitivity: 0.92 and specificity: 0.72)). This study provides pivotal information to distinguish HV, AG and GC based on precise alterations in salivary glycopatterns, which have great potential to be biomarkers for diagnosis of GC.
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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.