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A prospective multicenter study on bladder cancer: the COBLAnCE cohort
Simone Benhamou1,2,3, Julia Bonastre4,5, Karine Groussard6,7
1INSERM, UMR 946, Genetic Variation and Human Diseases Unit, 27 rue Juliette Dodu, 75010, Paris, France. simone.benhamou@inserm.fr.
BMC Cancer
|November 5, 2016
Summary
The COBLAnCE study investigates bladder cancer by collecting extensive patient data and biological samples to understand genetic and environmental influences on outcomes. This research aims to uncover new biomarkers and assess the disease
Area of Science:
- Oncology
- Genetics
- Epidemiology
Background:
- Bladder cancer is a heterogeneous disease influenced by genetic and environmental factors.
- Limited data exists on the prognostic role of these factors and the disease's economic and quality-of-life impact.
- Understanding these elements is crucial for improving patient outcomes.
Purpose of the Study:
- To establish a large French clinical cohort (COBLAnCE) for bladder cancer research.
- To investigate gene-environment interactions and discover novel biomarkers.
- To analyze treatment patterns, healthcare resource utilization, and quality of life.
Main Methods:
- Prospective enrollment of 2,000 newly diagnosed bladder cancer patients across 17 hospitals.
- Collection of detailed clinical, lifestyle, and quality-of-life data over a 6-year follow-up period.
- Comprehensive collection and storage of biological samples (blood, tissue, urine, nail) for molecular analysis.
Main Results:
- The COBLAnCE cohort is designed to yield significant insights into bladder cancer biology.
- It will facilitate the identification of gene-environment interactions influencing prognosis.
- The study will generate valuable data on biomarkers, treatment effectiveness, and economic impact.
Conclusions:
- The COBLAnCE cohort is a valuable resource for advancing bladder cancer research.
- Findings will enhance understanding of disease mechanisms and prognostic factors.
- The study will support biomarker discovery and inform cost-effectiveness analyses for future therapies.
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