Brain metastases in newly diagnosed lung cancer: epidemiology and conditional survival
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View abstract on PubMed
Summary
This summary is machine-generated.Lung cancer with brain metastasis (LCBM) affects 5.82 per 100,000 people. A new nomogram model offers personalized survival predictions for LCBM patients.
Area Of Science
- Oncology
- Neurology
- Epidemiology
Background
- Brain metastasis is a frequent complication of non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC).
- Lung cancer with brain metastasis (LCBM) significantly increases patient morbidity and mortality.
- Understanding LCBM incidence and survival is crucial for patient care.
Purpose Of The Study
- To determine the incidence and survival rates of lung cancer with brain metastasis (LCBM) in the United States.
- To develop a dynamic prognostic model for LCBM patients.
Main Methods
- Analysis of 9,212 LCBM patients from the SEER database (2010-2015).
- Calculation of incidence, relative survival, and conditional survival (CS) using Kaplan-Meier and CS formulas.
- Prognostic factor identification via LASSO regression and Cox regression, leading to a CS-based nomogram.
Main Results
- The age-adjusted incidence of LCBM was 5.82 per 100,000, with a slight decline.
- Survival rates decreased with increasing age.
- Conditional survival at 5 years improved from 3% to 73% based on survival duration (1-4 years).
- Key predictors included age, sex, race, tumor characteristics, and treatment modalities.
Conclusions
- The study provides epidemiological insights into LCBM.
- A novel CS-based nomogram was developed for dynamic and personalized prognosis prediction.
- The nomogram offers clinically valuable, real-time survival estimations for LCBM patients.
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