ArticleBMC cancer2022
Evaluation of CSTB and DMBT1 expression in saliva of gastric cancer patients and controls.
Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Salivary metabolites for pancreatic cancer diagnosis: a systematic review and meta-analysis.BMC gastroenterology · 2025Pooled it
- 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
- Computational identification of rare pathogenic genomic variants in esophageal cancer markers: Transcript-level analysis, sequence-based insights, and structural-functional impacts of non-synonymous SNPs.Biochemistry and biophysics reports · 2026Article
- Artificial intelligence-based miRNA analysis for precision oncology: diagnostic and prognostic insights.Frontiers in molecular biosciences · 2026Review
- Salivary metabolic profile landscape for gastric cancer screening: a metabolomic approach.Cancer cell international · 2025Article
- From infection to invasion: The role of deleted in malignant brain tumors 1 inWorld journal of clinical oncology · 2025Article
- Helicobacter pylori infection promotes the progression of gastric cancer by regulating the expression of DMBT1.World journal of clinical oncology · 2025Article
- Integrating Salivary Biomarkers CST4 andClinical Medicine Insights. Oncology · 2025Article
- Potential biomarkers in early detection of gastric cancer.Frontiers in pharmacology · 2025Review
- Personalized drug screening using patient-derived organoid and its clinical relevance in gastric cancer.Cell reports. Medicine · 2024Article
- B-cell specific Moloney murine leukemia virus insertion site 1 contributes to invasion, metastasis, and poor prognosis in salivary adenoid cystic carcinoma.Journal of dental sciences · 2024Article
- Comparison between multiple logistic regression and machine learning methods in prediction of abnormal thallium scans in type 2 diabetes.World journal of clinical cases · 2023Article
- Comprehensive analysis of disulfidptosis related genes and prognosis of gastric cancer.World journal of clinical oncology · 2023Article
- Multi-faceted attributes of salivary cell-free DNA as liquid biopsy biomarkers for gastric cancer detection.Biomarker research · 2023Article
- [Developments in Research on Salivary Biomarkers in the Diagnosis of Systemic Diseases].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Review
- Comparison between Machine Learning and Multiple Linear Regression to Identify Abnormal Thallium Myocardial Perfusion Scan in Chinese Type 2 Diabetes.Diagnostics (Basel, Switzerland) · 2022Article
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric cancer (GC) is the fifth most common cancer and the third cause of cancer deaths globally, with late diagnosis, low survival rate, and poor prognosis. This case-control study aimed to evaluate the expression of cystatin B (CSTB) and deleted in malignant brain tumor 1 (DMBT1) in the saliva of GC patients with healthy individuals to construct diagnostic algorithms using statistical analysis and machine learning methods.
methodsDemographic data, clinical characteristics, and food intake habits of the case and control group were gathered through a standard checklist. Unstimulated whole saliva samples were taken from 31 healthy individuals and 31 GC patients. Through ELISA test and statistical analysis, the expression of salivary CSTB and DMBT1 proteins was evaluated. To construct diagnostic algorithms, we used the machine learning method.
resultsThe mean salivary expression of CSTB in GC patients was significantly lower (115.55 ± 7.06, p = 0.001), and the mean salivary expression of DMBT1 in GC patients was significantly higher (171.88 ± 39.67, p = 0.002) than the control. Multiple linear regression analysis demonstrated that GC was significantly correlated with high levels of DMBT1 after controlling the effects of age of participants (R
conclusionSalivary levels of DMBT1 and CSTB may be accurate in diagnosing GCs. Machine learning analyses using salivary biomarkers, demographic, clinical, and nutrition habits data simultaneously could provide affordability models with acceptable accuracy for differentiation of GC by a cost-effective and non-invasive method.
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