ClinicalTrials.gov
public full text
Public Domain
Optimal Application Timing of ADC Drugs for Advanced Breast Cancer
This study plans to initiate a prospective, randomized controlled trial to investigate the optimal timing of antibody drug conjugate (ADC) therapy in the management of advanced Human Epidermal Growth Factor Receptor 2 (HER2)-negative breast cancer. Primary Objective: To compare the difference in PFS2 (Time from randomization to disease progression after second therapy) between antibody-drug conjugate (ADC) followed by chemotherapy versus chemotherapy followed by ADC in the treatment of advanced HER2-negative breast cancer. Secondary Objectives: To compare overall survival (OS), adverse events, patient-reported outcomes, and cost-effectiveness between the two treatment sequences. Additionally, to identify potential biomarkers predictive of benefit from frontline ADC therapy.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Adjuvant Therapy Choice for Non-pCR HER2 Positive Early Breast Cancer After Neoadjuvant Therapy#1096880
- Compare Continuation of Original Targeted Therapy With Trastuzumab Combined With Pyrotinib and Capecitabine as Postoperative Adjuvant Therapy in Non-pCR Patients With HER2 Positive Early Breast Cancer#1246650
- Analysis of Exploring Optimized Sequential Treatment Strategies of Antibody-Drug Conjugates (ADCs) in HER2-Low-Expressing Breast Cancer#1309574
- RWS of Paclitaxel Liposome Combined With Anti-HER-2 Monoclonal Antibody#1186157
- Paclitaxel With or Without Bevacizumab in Treating Patients With Locally Recurrent or Metastatic Breast Cancer#831785
Record · ID 1282201
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive