NCT lookup

Pull any trial record directly from ClinicalTrials.gov.

Establishment of a Multi-omics Prediction Model for Early Triple-negative Breast Cancer Based on UPGRADE-TNBC Study

RecruitingN/A

Sponsor: Cancer Institute and Hospital, Chinese Academy of Medical Sciences

Conditions: Triple -Negative Breast Cancertriple, Meta-Learning, Predictive Models, Multimodal

Interventions: Collect data

Countries: China

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.

Eligibility overview

Sex: FEMALE

Age: 18 Years to 75 Years

Healthy volunteers: No

Study type: OBSERVATIONAL

Eligibility criteria

Inclusion Criteria:

* The UPGRADE-TNBC Study Population

Exclusion Criteria:

* Populations outside the UPGRADE-TNBC study

Locations (1)

Beijing, Beijing Municipality, China