RNSCLC-PRSP software

RNSCLC-PRSP software predicts prognostic risk and survival outcomes for patients with resected T1-3N0-2M0 non-small cell lung cancer (NSCLC) by integrating tumor-node-metastasis (TNM) staging and additional clinical factors into a Cox proportional hazard regression model–based prognostic index.

Key Features:

• Prognostic Risk Prediction: Utilizes a Cox proportional hazard regression model to identify independent prognostic factors and computes a prognostic index (PI) using the equation: PI = 0.379X_1 - 0.403X_2 - 0.267X_{51} - 0.167X_{61} - 0.298X_{62} + 0.460X_{71} + 0.617X_{72} - 0.344X_{81} - 0.105X_{91} - 0.243X_{92} + 0.305X_{101} + 0.508X_{102} + 0.754X_{103} + 0.143X_{111} + 0.170X_{112} + 0.434X_{113} - 0.327X_{122} - 0.247X_{123} + 0.517X_{133} + 0.340X_{134} + 0.457X_{143} + 0.419X_{144} + 0.407X_{145}.
• Risk Stratification: Based on calculated PI values, patients are categorized into low-, intermediate-, and high-risk groups that exhibit significantly different survival rates.
• Survival Analysis: Reports mean and median survival times and 1- to 5-year survival rates for each risk group.
• Input Variables: Analyzes data from resected T1-3N0-2M0 NSCLC cohorts incorporating tumor-node-metastasis (TNM) staging and additional clinical prognostic factors.

Scientific Applications:

• Prognostic assessment: Provides precise prognostic assessments for patients with resected T1-3N0-2M0 NSCLC.
• Clinical decision support: Supports evaluation of patient risk profiles to inform decisions about complementary treatments.
• Personalized care: Integrates TNM staging and additional prognostic factors to enhance personalized prognosis and management of NSCLC patients.

Methodology:

Apply a Cox proportional hazard regression model to identify independent prognostic factors, integrate model coefficients into the prognostic index (PI) equation to calculate a PI per patient, stratify patients into three risk groups by PI, and compute mean/median survival times and 1- to 5-year survival rates for each group.