Comprehensive Longitudinal Linear Mixed Modeling of CTCs Illuminates the Role of Trop2, EpCAM, and CD45 in CTC Clustering and Metastasis
- 1Division of Molecular Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
- 2Division of Epidemiology, Biostatistics and Preventive Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
- 3Christus St. Vincent Regional Cancer Center, Santa Fe, NM 85705, USA.
- 0Division of Molecular Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
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View abstract on PubMed
Summary
This summary is machine-generated.Circulating tumor cells (CTCs) heterogeneity impacts breast cancer progression. EpCAM, Trop2, and CD45+ cells predict CTC cluster size, with distinct biomarker changes observed in HR+ and HER2+ metastatic breast cancers over time.
Area Of Science
- Oncology
- Cancer Biology
- Metastasis Research
Background
- Breast cancer is a leading cause of cancer worldwide, characterized by high rates of distant metastasis.
- Circulating tumor cells (CTCs) are key drivers of metastasis and are associated with poor prognosis.
- CTC heterogeneity complicates understanding their role in disease progression.
Purpose Of The Study
- To systematically analyze circulating tumor cells (CTCs) longitudinally in metastatic breast cancer (mBC) patients.
- To evaluate the contribution of EpCAM, Trop2, and pan-Cytokeratin (CK) markers to CTC presence and clustering.
- To understand the relationship between CTC biomarkers and breast cancer progression during treatment.
Main Methods
- Longitudinal analysis of 272 blood samples from 51 metastatic breast cancer patients.
- Isolation, imaging, and analysis of nucleated cells using Rarecyte® technology.
- Statistical analysis using R (lmerTest, lme4) and Graphpad Prism.
Main Results
- Both classical CTCs and Trop2+ CTCs were detected; EpCAM, Trop2, and CD45+ cells correlated with CTC cluster size.
- Pan-Cytokeratin (CK) did not predict cluster size.
- Longitudinal analysis revealed distinct biomarker trajectories for EpCAM, Trop2, and clustering in HR+ versus HER2+ breast cancers post-metastasis diagnosis.
Conclusions
- EpCAM+, Trop2+, and CD45+ cells predict CTC cluster presence and size.
- Distinct longitudinal biomarker changes were observed between HR+ and HER2+ metastatic breast cancers.
- These findings enhance understanding of CTC dynamics in breast cancer progression.
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