ArticleEuropean journal of medical research2024
A predictive and prognostic model for metastasis risk and prognostic factors in gastrointestinal signet ring cell carcinoma.
Article in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
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- Transcriptomic and experimental identification of immune- and telomere-related genes in pelvic organ prolapse.Frontiers in pharmacology · 2026Article
- Prognostic Factors and Nomogram-Based Prediction Models for Colorectal Cancer Patients With Synchronous Peritoneal Metastasis Undergoing Cytoreductive Surgery: A Retrospective Cohort Study.Cancer medicine · 2026Article
- Decoding Dementia Mechanisms: Identification of Key Oligodendrocyte- Associated Genes through Integrative Bioinformatics and Machine Learning.Current topics in medicinal chemistry · 2026Article
- Construction of a Prognostic Model and Subgroup Characteristics Related to Hypoxia-Immune Evasion in T Cells of Hepatocellular Carcinoma Based on Single-Cell and Bulk RNA Analysis.Journal of hepatocellular carcinoma · 2026Article
- Application of acute myocardial infarction-related key genes in noninvasive diagnosis: a comprehensive analysis based on transcriptome and single-cell transcriptome.Frontiers in genetics · 2026Article
- Analysis of clinicopathological features, treatment modalities, and survival outcomes in advanced gastric and colorectal signet ring cell carcinoma.Discover oncology · 2025Article
- The construction of a prognostic nomogram model for colorectal cancer and the prediction of immune characteristics and immune treatment responses based on the bioinformatics analysis of soluble mediator-related genes.Human vaccines & immunotherapeutics · 2025Article
- Potential involvement of the KLF2-GPX4 axis in ferroptosis during S.aureus-induced osteomyelitis.Human genomics · 2025Article
- A prognostic nomogram utilized lymph node ratio for signet ring cell gastric cancer patients post-surgery.Journal of gastrointestinal oncology · 2025Article
- Study on the regulation mechanism of TBX5 gene and Gegen Qinlian decoction on colorectal cancer.Frontiers in oncology · 2025Article
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4 authors.
Funding
Abstract
backgroundThis study aimed to predict metastasis risk and identify prognostic factors of gastrointestinal signet ring cell carcinoma (SRCC) using data from the SEER database, the largest cancer dataset in North America.
methodsData were obtained from the SEER database, covering 17 cancer registries from 2004 to 2020. Demographic and clinical data included sex, age, race, tumor location, size, pathological grade, stage, overall survival time, and treatment modalities. Statistical analyses were conducted using SPSS and R software. Propensity Score Matching (PSM) ensured comparable baseline characteristics between gastric cancer (GC) and colorectal cancer (CRC) groups. LASSO regression analysis identified predictors of metastasis, leading to the construction of predictive models using the lrm function in R. Nomograms were visualized with the "rms" package and assessed via ROC curves, calibration curves, and decision curve analysis (DCA). Cox regression analyses identified prognostic indicators for overall survival (OS), and Kaplan-Meier curves compared OS between high-risk and low-risk groups.
resultsFrom 2004 to 2020, 7680 SRCC patients were identified, including 4980 GC and 2700 CRC patients. CRC patients were older and had larger tumors, higher staging, and worse differentiation. Nomograms demonstrated good discriminative ability, with AUCs of 0.704 and 0.694 for GC, and 0.694 and 0.701 for CRC in training and validation cohorts, respectively. The DCA curve indicates that this predictive model has a high gain in predicting metastasis and OS.
conclusionsThe nomograms effectively predicted metastasis risk and OS in metastatic SRCC patients, offering clinical utility in stratifying patients and guiding treatment decisions, thereby enhancing personalized treatment approaches.
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