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The prostate cancer risk stratification project: database construction and risk stratification outcome analysis
George Rodrigues1, Himu Lukka, Padraig Warde
1From the aDepartment of Radiation Oncology, London Health Sciences Centre, London, Ontario; bDepartment of Radiation Oncology, Juravinski Cancer Centre, Hamilton, Ontario; cRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario; dDepartment of Radiation Oncology, Kingston Regional Cancer Centre, Kingston, Ontario; eDepartment of Radiation Oncology, Montreal General Hospital, Montreal, Quebec; fDepartment of Radiation Oncology, Kelowna General Hospital, Kelowna, British Columbia; gDepartment of Radiation Oncology, L'Hotel Dieu de Quebec, Quebec City, Quebec; hDepartment of Radiation Oncology, British Columbia Cancer Agency - Vancouver Centre, Vancouver, British Columbia, Canada.
A new pan-Canadian Prostate Cancer Risk Stratification database (ProCaRS) analyzed radiotherapy outcomes for 7974 patients. Key factors like age, PSA, and Gleason score predict treatment success, with brachytherapy showing better results than external-beam radiation.
Area of Science:
- Oncology
- Radiation Oncology
- Biostatistics
Background:
- The Genitourinary Radiation Oncologists of Canada (GUROC) developed the Prostate Cancer Risk Stratification (ProCaRS) database.
- The database consolidates data from 7 unique sources, comprising 7974 patients who received radiotherapy.
Purpose of the Study:
- To report on the biochemical and clinical outcomes of prostate cancer patients within the ProCaRS database.
- To identify predictors of treatment success and evaluate risk stratification systems for prostate cancer radiotherapy.
Main Methods:
- Descriptive analysis, Cox proportional hazards, and Kaplan-Meier analyses were employed.
- Outcomes analyzed included American Society for Radiation Oncology (ASTRO) biochemical failure-free survival (BFFS), prostate cancer-specific survival, and overall survival.
- Multivariable modeling was used to identify predictive factors for BFFS.
Main Results:
- Age, prostate-specific antigen (PSA) levels, T stage, and Gleason score were significant predictors of outcome.
- Hormonal therapy and radiation treatment modality (brachytherapy demonstrated superior outcomes to external-beam radiation) influenced patient results.
- Kaplan-Meier analysis confirmed good separation of clinical outcome curves using both the GUROC and National Comprehensive Cancer Network (NCCN) classification systems.
Conclusions:
- The pan-Canadian ProCaRS database provides valuable insights into prostate cancer radiotherapy outcomes.
- Established clinical factors and treatment modalities are crucial for risk stratification in prostate cancer radiotherapy.
- The ProCaRS database supports improved risk stratification and informs clinical decision-making for prostate cancer patients undergoing radiotherapy.
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