Related Experiment Video
Updated: Jun 10, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Traditional Prostate Cancer Risk Assessment Scales Do Not Predict Outcomes from Brain Metastases: A Population-Based
Liliana R Ladner1, Srijan Adhikari1,2,3, Abhishek S Bhutada1,2,3
1Virginia Tech Carilion School of Medicine, 2 Riverside Circle, Roanoke, VA 24016, USA.
Prostate cancer brain metastases survival is influenced by race, tumor size, and treatment. A new nomogram helps predict outcomes for these patients, guiding personalized management strategies.
Area of Science:
- Oncology
- Neurology
- Public Health
Background:
- Brain metastases are a rare but serious complication of prostate cancer.
- Limited understanding exists regarding the progression, treatment, and outcomes of prostate cancer with brain metastasis.
Purpose of the Study:
- To investigate prognostic factors influencing overall survival (OS) in patients with prostate cancer metastatic to the brain.
- To develop a prognostic nomogram to aid in the management of these patients.
Main Methods:
- Retrospective analysis of 461 patients with prostate cancer brain metastases using the Surveillance, Epidemiology, and End Results (SEER) database.
- Cox regression (univariate and multivariable) analyses were performed.
- A prognostic nomogram was developed based on the identified factors.
Main Results:
- The median overall survival (OS) was 15 months.
- Hispanic patients showed significantly increased OS (17 months).
- Larger tumor size (>3 cm) and liver metastases were associated with significantly reduced OS (19 months and 3.5 months, respectively).
- Treatment with chemotherapy/systemic therapy (19 months) or radiation and chemotherapy (25 months) improved survival.
- The developed nomogram achieved a C-index of 0.641.
Conclusions:
- Prognosis for prostate cancer with brain metastases is significantly impacted by race, tumor size, additional metastatic sites, and treatment modalities.
- Traditional prostate cancer grading systems (Gleason, ISUP) did not correlate with mortality in this cohort.
- The developed prognostic nomogram offers a tool for individualized patient management and treatment guidance.
More Related Videos
09:53Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
Published on: August 16, 2020
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024