ArticleBioMed research international2022
Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study.
Article in BioMed research international, 2022. 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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8 citing papers in PubMed, 8 citations in OpenAlex.
- Survival benefit of ⁶⁸Ga-FAPI PET/CT staging for prognostic assessment in gastric and colorectal cancer compared with CE-CT and ¹⁸F-FDG PET/CT: a single-center retrospective study.European journal of nuclear medicine and molecular imaging · 2026Article
- Article
- A prognostic nomogram for predicting overall survival in gastric signet ring cell carcinoma patients: a SEER database and Chinese registry analysis.Frontiers in molecular biosciences · 2025Article
- Influence of cancer-directed surgery on the prognosis of liver metastases from gastric cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Article
- Construction and validation of a prognostic model for gastric cancer patients with tumor deposits.PeerJ · 2024Article
- Who are optimal candidates for primary tumor resection in patients with metastatic gastric adenocarcinoma? A population-based study.PloS one · 2024Article
- Single-cell analysis of gastric signet ring cell carcinoma reveals cytological and immune microenvironment features.Nature communications · 2023Article
- Pathological Nodal Staging Score for Gastric Signet Ring Cell Carcinoma: A Clinical Tool of Adequate Nodal Staging.Diagnostics (Basel, Switzerland) · 2022Article
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7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe dismal prognosis of gastric signet ring cell carcinoma (GSRC) is a global problem. The current study is conducted to comprehensively evaluate clinicopathological features and survival outcomes in GSRC patients stratified by anatomic subsites. Then, predictive nomograms are constructed and validated to improve the effectiveness of personalized management.
methodThe patients diagnosed with GSRC were recruited from the online SEER database. The influence of anatomic subsites on overall survival (OS) and cancer-specific survival (CSS) was evaluated using multivariate Cox regression and Kaplan-Meier analysis. Then, we employed propensity score matching (PSM) technique to decrease selection bias and balance patients' epidemiological factors. Predictive nomograms were constructed and validated. Sensitivity analysis was performed to validate the conclusion.
resultsMultivariate Cox regression demonstrated that the patients with overlapping gastric cancer (OGC) suffered the highest mortality risk for OS (HR, 1.29; 95% CI, 1.23-1.36;
conclusionWe identified anatomic subsites as a predictor of survival in those with GSRC. Patients with OGC suffered the highest mortality risk. The proposed nomograms allowed a relatively accurate survival prediction for GSRC patients.
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