Establishment of a Multi-omics Prediction Model for Early Triple-negative Breast Cancer Based on UPGRADE-TNBC Study
Recruiting · NCT07773818 · Observational (researchers observe without assigning treatment) · Lead sponsor: Cancer Institute and Hospital, Chinese Academy of Medical Sciences
View the official record on ClinicalTrials.gov →Interventions studied
What this trial is about
Based on the UPGRADE-TNBC study, a high-quality TNBC sample repository was established. By integrating multi-source data-including clinical information, radiomics, pathological images, and molecular sequencing-and innovatively incorporating a meta-learning strategy, a treatment response prediction model based on multimodal small-sample learning was developed. This approach aims to optimize drug combinations and precisely identify patient subgroups likely to benefit from treatment, thereby providing a new paradigm for personalized therapy in early-stage TNBC.
Who can take part
Inclusion criteria
- The UPGRADE-TNBC Study Population
Exclusion criteria
- Populations outside the UPGRADE-TNBC study
Where it is running
1 location listed.
- Cancer Hospital, Chinese Academy of Medical Sciences - Beijing, Beijing Municipality, China