ArticleFrontiers in endocrinology2025
Diagnostic value of systemic immune-inflammation index and prognostic nutritional index combined with CEA in gastric cancer with lymph node metastasis.
Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Biomarkers in Gastric Cancer: Blood Biomarkers, Liquid Biopsy, Artificial Intelligence, and Risk-Stratified Care.Cancers · 2026Review
- Establishment of a Gastric Cancer Diagnostic Model Based on the Combined Evaluation of Peripheral Blood Immune-inflammatory Nutritional Indicators and Tumor Markers.Journal of cancer prevention · 2026Article
- Inflammatory and Nutritional Indices as Prognostic Markers in Locally Advanced Gastric Cancer Treated with Neoadjuvant FLOT: A Retrospective Multicenter Study.Journal of clinical medicine · 2026Article
- Timeliness of postoperative serum carcinoembryonic antigen monitoring for predicting recurrence after gastric cancer surgery.World journal of gastrointestinal surgery · 2026Article
- Construction and validation of a risk prediction model for perineural invasion in early gastric cancer based on multivariate analysis.BMC cancer · 2026Article
- Interpretable machine learning analysis of clinicopathological and immunonutritional biomarkers for predicting lymph node metastasis in gastric cancer.Scientific reports · 2025Article
- FAM83A may serve as a potential prognostic indicator for stomach adenocarcinoma.Translational cancer research · 2025Article
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8 authors.
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Abstract
Background: Carcinoembryonic antigen (CEA), systemic immune-inflammation index(SII), and prognostic nutritional index (PNI) are diagnostic markers for cancer, but their combined significance in gastric cancer (GC) with lymph node metastasis remains unclear. The aim of this study was to evaluate the association between these serum biomarkers and lymph node metastasis in patients with GC. Methods: Records of patients with GC were reviewed retrospectively. Univariate and multivariate logistic regression were performed to examine the association between tumor markers, serum biomarkers and lymph node metastasis in GC. Based on the results of multivariate regression, a nomogram was developed and verified. Results: Of the 395 patients aged 68.5 ± 9.1 years, 192 (48.6%) were diagnosed with lymphatic node metastasis. After adjusting for confounding factors, CEA (Odd ratio (OR):2.21; 95%CI: 1.17-3.81) and SII (OR:1.02; 95%CI: 1.01-1.04) was identified as significant risk factors, while PNI (OR:0.90; 95%CI: 0.85~0.96) was a protective factor for lymph node metastasis. The established nomogram by incorporating CEA, SII, PNI, differentiation, and tumor diameter can effectively predict lymph node metastasis in GC. Conclusion: CEA, SII, PNI, differentiation, and tumor diameter were significantly associated with lymph node metastasis in patients with GC, and the combination of CEA, SII, PNI, differentiation, and tumor diameter has a better diagnostic value than either index alone.
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