Breast cancer is a heterogeneous disease with multiple molecular subtypes, each requiring tailored therapeutic strategies. The recent introduction of targeted therapies, immunotherapies, and antibody-drug conjugates has expanded treatment options, yet their efficacy varies depending on tumor subtype. This non-interventional study aims to identify novel predictive biomarkers of response or resistance to these emerging therapies. The Senocohort study will prospectively collect clinical, biological, imaging, and organoid-derived data from breast cancer patients, with a focus on hormone receptor-negative tumors. The ultimate goal is to improve precision medicine strategies and patient stratification
Senocohort is a prospective, bicentric cohort study designed to collect clinico-biological data and establish a biobank of patient-derived tumor organoids (PDOs) from residual tissue samples obtained during routine care. The aim is to identify new multimodal biomarkers (molecular, cellular, and imaging) predictive of response or resistance to breast cancer therapies, with evaluation based on progression-free survival. The study targets an enriched population of hormone receptor-negative breast cancers, particularly triple-negative subtypes, which currently lack effective targeted treatments. Samples will be used for genomic analyses, PDO development, and circulating biomarker studies, with 10 years of clinical follow-up.
Study Type
OBSERVATIONAL
Enrollment
500
Blood sampling, residual tissue material collection and clinical data collection
Number of Predictive Multimodal Biomarkers identified
Discovery and validation of molecular, cellular, and imaging biomarkers associated with response or resistance to therapies, evaluated on progression-free survival.
Time frame: Up to 10 years
Overall Survival Analysis by Biomarker Subgroup
Evaluation of overall survival based on biomarker-defined subgroups.
Time frame: Up to 10 years
Multimodal biomarker performance
Assessment of the added value of combining multiple types of biomarkers (e.g., genomic + imaging).
Time frame: Up to 10 years
Drug Sensitivity in PDO Models
Ex vivo response of PDOs to approved or experimental therapies, correlated with clinical outcomes.
Time frame: Up to 10 years
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