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- Comprehensive Longitudinal Linear Mixed Modelling of CTCs Illuminates the Role of Trop2, EpCAM, and CD45 in CTC Clustering and Metastasis

# Comprehensive Longitudinal Linear Mixed Modelling of CTCs Illuminates the Role of Trop2, EpCAM, and CD45 in CTC Clustering and Metastasis

Merkley SD, Kang H, Brown-Glaberman U, Marchetti D.

Cancers . 2025;17(16):2717. DOI [10.3390/cancers17162717](https://doi.org/10.3390/cancers17162717).

How to cite

### AMA

Merkley SD, Kang H, Brown-Glaberman U, Marchetti D. Comprehensive Longitudinal Linear Mixed Modelling of CTCs Illuminates the Role of Trop2, EpCAM, and CD45 in CTC Clustering and Metastasis. Cancers . 2025;17(16):2717. doi:10.3390/cancers17162717

### APA

Merkley, S. D., Kang, H., Brown-Glaberman, U., & Marchetti, D. (2025). Comprehensive Longitudinal Linear Mixed Modelling of CTCs Illuminates the Role of Trop2, EpCAM, and CD45 in CTC Clustering and Metastasis. Cancers , 17(16), 2717. https://doi.org/10.3390/cancers17162717

### BibTeX

@article{merkley2025comprehensive,
title = {Comprehensive Longitudinal Linear Mixed Modelling of CTCs Illuminates the Role of Trop2, EpCAM, and CD45 in CTC Clustering and Metastasis},
author = {Merkley, Seth D. and Kang, Huining and Brown-Glaberman, Ursa and Marchetti, Dario},
journal = {Cancers},
volume = {17},
number = {16},
pages = {2717},
year = {2025},
doi = {10.3390/cancers17162717}
}

Circulating tumor cells are the cells that carry a cancer from its primary site into the bloodstream and on to distant organs, and their presence signals a poorer prognosis. But they vary widely between patients and even within one patient, and the classical way of spotting them &mdash; EpCAM-positive, cytokeratin-positive, CD45-negative &mdash; was built around epithelial tumors, so it can miss cells that have drifted toward a mesenchymal state.

This team followed 51 metastatic breast cancer patients over 32 months, counting both classical and Trop2-positive circulating tumor cells across 305 blood samples and relating each marker to how the cells cluster. EpCAM, Trop2, and the presence of CD45-positive cells all predicted cluster size, while pan-cytokeratin did not, and EpCAM and larger clusters rose over time in HER2-positive but not hormone-receptor-positive cancers after metastasis was diagnosed.

[Read publication at Cancers](https://doi.org/10.3390/cancers17162717)

## Key findings

- Two circulating tumor cell populations were tracked across a 32-month longitudinal series. 305 blood samples from 51 metastatic breast cancer patients were scored &mdash; 205 samples from 51 patients for classical CTCs and 100 samples from 26 patients for Trop2+ CTCs &mdash; yielding more than 6,000 images for review.

- EpCAM, Trop2, and CD45+ cells predicted CTC cluster size; pan-cytokeratin did not. Among the strong correlations (r &ge; 0.7), EpCAM+ CTCs and the presence of CD45+ cells tracked cluster presence and size &mdash; with a correlation of 0.78 between EpCAM+ CTCs and CD45+ cells &mdash; while pan-cytokeratin reached no strong correlation with any biomarker.

- EpCAM and larger CTC clusters increased over time in HER2+ but not HR+ cancers after metastatic diagnosis. In the longitudinal model, slopes differed significantly between receptor subtypes for EpCAM (p = 0.02183) and for clusters of more than two cells (p = 0.00691), both rising in HER2+ disease while HR+ showed no significant change.

## CyteFinder II in the methods

&ldquo;All slides were scanned using the Cytefinder II&reg; imaging platform and analyzed with CyteHub&reg; software. Images output by CytHub were then quality-checked by trained technicians to confirm classification as individual CTCs and/or clusters.&rdquo;

&mdash; Merkley et al., Cancers (2025), Methods, &ldquo;Sample Processing, Scanning, and Analysis&rdquo;

## Why it matters for CyteFinder II users

If you are weighing CyteFinder II for rare-cell work, look at what it carried here. Every slide in this 32-month study was scanned on the CyteFinder II platform, and the images it produced were analyzed in CyteHub to enumerate single CTCs and to classify each as a singlet or as a two-, three-, or larger-cell cluster. That cluster call is the unit the whole analysis rests on: the correlations with EpCAM, Trop2, and CD45, and the receptor-subtype trajectories over time, are all built from cluster presence and size read off these images. Two things follow for your own workflow. Because the entire nucleated-cell layer is laid onto the slide before scanning rather than captured on EpCAM first, the imaging step sees Trop2-positive and EpCAM-low cells that an enrichment step would have discarded. And because clusters are scored image by image with technician review, heterotypic CD45-positive configurations are counted rather than dissociated away. For a rare, heterogeneous population, that whole-slide readout is the point.

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