Construction and validation of the prognostic nomogram model for patients with diffuse-type gastric cancer based on the SEER database
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Summary
This summary is machine-generated.This study developed a prognostic nomogram to predict overall survival in diffuse gastric cancer patients. The nomogram accurately identifies key predictors, improving upon traditional TNM staging for personalized treatment strategies.
Area Of Science
- Oncology
- Cancer Research
- Medical Statistics
Background
- Diffuse gastric cancer (GC) poses a significant challenge due to complex prognostic factors.
- Accurate prediction of overall survival (OS) is crucial for effective treatment planning in diffuse GC.
- Existing staging systems may not fully capture the nuances of individual patient prognoses.
Purpose Of The Study
- To identify independent prognostic factors for diffuse gastric cancer (GC).
- To construct and validate a prognostic nomogram for predicting 1, 3, and 5-year overall survival (OS) in diffuse GC patients.
- To assess the predictive accuracy and clinical utility of the developed nomogram.
Main Methods
- Utilized data from 2877 diffuse GC patients from the SEER database (2006-2018).
- Patients were divided into training (1439) and validation (1438) cohorts.
- Log-rank and multivariate COX analyses identified prognostic indicators; nomogram performance was evaluated using consistency index and calibration curves.
Main Results
- Identified age, T, N, M, TNM stage, surgical status, chemotherapy status, and seven markers as independent predictors of OS (P < 0.05).
- Developed a nomogram with a c-index of 0.750 (training) and 0.753 (validation), outperforming the TNM staging framework (0.658 and 0.679, respectively).
- Calibration curves demonstrated good agreement between predicted and actual survival rates.
Conclusions
- Prognostic nomograms serve as valuable tools for individualized prognosis assessment in diffuse GC.
- The developed nomogram reliably predicts survival, aiding physicians in formulating tailored treatment strategies.
- This tool enhances personalized medicine approaches for diffuse gastrointestinal carcinoma patients.
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