ArticleFrontiers in immunology2024
A novel web-based dynamic prognostic nomogram for gastric signet ring cell carcinoma: a multicenter population-based study.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Development and validation of nomograms for predicting overall survival and cancer-specific survival in female gastric signet-ring cell carcinoma: a SEER database analysis.Translational cancer research · 2026Article
- A comprehensive proteomic analysis uncovers novel molecular subtypes of gastric signet ring cell carcinoma: Identification of potential prognostic biomarkers and therapeutic targets.Genes & diseases · 2026Article
- Analysis of clinicopathological features, treatment modalities, and survival outcomes in advanced gastric and colorectal signet ring cell carcinoma.Discover oncology · 2025Article
- Clinicopathological characteristics and long-term prognosis of duodenal signet ring cell carcinoma: a SEER-based analysis.Translational cancer research · 2025Article
- Gastric Signet Ring Cell Carcinoma in a Helicobacter pylori-Positive 10-Year-Old Boy: A Case Report and Literature Review.Cancer science · 2025Review
- METTL3 stabilizes SERPINE2 via the m6A modification to drive the malignant progression of gastric signet ring cell carcinoma.Translational cancer research · 2025Article
- Analysis of epidemiology and nomogram construction for prediction and clinical decision-making in gliomas.Frontiers in immunology · 2025Article
- Application and progress of nomograms in gastric cancer.Frontiers in medicine · 2025Review
- Prognostic prediction and treatment options for gastric signet ring cell carcinoma: a SEER database analysis.Frontiers in oncology · 2024Article
- Variable screening and model construction for prognosis of elderly patients with lower-grade gliomas based on LASSO-Cox regression: a population-based cohort study.Frontiers in immunology · 2024Article
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7 authors.
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Abstract
Background: Gastric signet ring cell carcinoma (GSRCC) is a rare and highly malignant disease with a poor prognosis. To assess the overall survival (OS) and cancer-specific survival (CSS) of patients with GSRCC, prognostic nomograms were developed and validated using common clinical factors. Methods: This retrospective cohort study included patients diagnosed with GSRCC between 2011 and 2018 from the National Cancer Center (n = 1453) and SEER databases (n = 2745). Prognostic nomograms were established by identifying independent prognostic factors using univariate and multivariate Cox regression analyses. The calibration curve and C-index were used to assess the predictions. The clinical usefulness of the survival prediction model was further evaluated using the DCA and ROC curves. The models were internally validated in the training cohort and externally validated in the validation cohort. Two web servers were created to make the nomogram easier to use. Results: Patients with GSRCC were divided into training ( Conclusion: We developed web-based dynamic nomograms utilizing six independent prognostic variables that assist physicians in estimating the OS and CSS of patients with GSRCC.
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