Study on Using TROP2-PET and 18F-FDG PET to Predict the Efficacy of Anti TROP2 ADC Treatment in Advanced Breast Cancer
This study aims to evaluate whether \^68Ga-TROP2 PET/CT, combined with \^18F-FDG PET/CT, can predict the efficacy of anti-TROP2 antibody-drug conjugates in patients with advanced HER2-negative breast cancer. Baseline and dynamic imaging parameters will be used to develop prediction models (primary endpoint: AUC), and their associations with clinical outcomes and tumor TROP2 status will be explored.
Conditions studied
Metastatic Breast Cancer ( HER2 Negative)
About this study
This study aims to evaluate whether \^68Ga-TROP2 PET/CT, combined with \^18F-FDG PET/CT, can predict the efficacy of anti-TROP2 antibody-drug conjugates in patients with advanced HER2-negative breast cancer. Baseline and dynamic imaging parameters will be used to develop prediction models (primary endpoint: AUC), and their associations with clinical outcomes and tumor TROP2 status will be explored.
Interventions
- Drug: Sacituzumab Govitecan、Datopotamab deruxtecan、Sacituzumab tirumotecan — TROP2-targeted antibody-drug conjugate administered according to standard clinical dosing schedule until disease progression or unacceptable toxicity.
- Diagnostic Test: 68Ga-TROP2 PET/CT Imaging — Whole-body PET imaging using 68Ga-labeled TROP2-targeting tracer to assess in vivo TROP2 expression prior to TROP2 ADC treatment initiation.
- Diagnostic Test: 18F-FDG PET Imaging — Standard 18F-FDG PET imaging performed prior to TROP2 ADC treatment to assess tumor metabolic activity.
Primary outcomes
- Area Under the Curve (AUC) of the Imaging-Based Prediction Model (Baseline to first response assessment (after 2 cycles of therapy))
Eligibility information
Study locations
- Fudan University Shanghai Cancer Center, Shanghai, Shanghai Municipality 200032 China
- Fudan University Shanghai Cancer Center, Shanghai, 200032 China
Source: ClinicalTrials.gov. Record last refreshed by Varda Clinical: 2026-09-27.