Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Patient-Derived Organoids to Functionally Characterize Chemotherapy Resistance in Breast Cancer

Atlas University · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
Open Source ↗
breast-cancerdrug-repurposingneoadjuvant-chemotherapy
This prospective observational study aims to functionally characterize chemotherapy resistance in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy. Despite standard molecular classification, significant heterogeneity in treatment response exists, and the biological mechanisms underlying chemoresistance remain incompletely understood. In this study, patient-derived organoid (PDO) models will be established from tumor tissues obtained during routine clinical care. These three-dimensional models preserve the biological characteristics of individual tumors and enable ex vivo functional assessment of drug response. Chemotherapy sensitivity and resistance will be evaluated using quantitative parameters including Half-Maximal Inhibitory Concentration (IC50) values, cell viability, and apoptotic response. Functional data obtained from PDO models will be correlated with clinical and pathological treatment outcomes, particularly pathological complete response (pCR), to assess the predictive value of PDO-based assays. In addition, apoptotic biomarkers such as Caspase-3/7 will be measured in serum samples collected during routine clinical evaluation and analyzed in relation to treatment response. Furthermore, selected Food and Drug Administration (FDA) and European Medicines Agency (EMA) approved small molecules will be tested in PDO models to evaluate their potential to reverse chemotherapy resistance, supporting drug repurposing strategies. This study aims to establish a functional, patient-specific platform for assessing chemoresistance and to contribute to the development of personalized therapeutic approaches in breast cancer.
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

Record · ID 1452285
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