# Mass cytometric detection of homologous recombination proficiency in circulating tumor cells to predict chemoresistance of metastatic breast cancer patients

**Authors:** Kathrin Niedermayer, Henning Schäffler, Georgios Vlachos, Sara Greco, Kerstin Pfister, Barbara Volz, Leonie Ott, Hans Neubauer, Bernhard Polzer, André Koch, Sabine Riethdorf, Tanja Fehm, Wolfgang Janni, Thomas W. P. Friedl, Brigitte Rack, Ellen Heitzer, Fabienne Schochter, Lisa Wiesmüller

PMC · DOI: 10.1002/ijc.35498 · International Journal of Cancer · 2025-06-02

## TL;DR

The paper shows how mass cytometry can detect DNA repair in circulating tumor cells to predict chemotherapy resistance in breast cancer patients.

## Contribution

A new mass cytometry method is introduced to monitor homologous recombination in CTCs, linking it to chemoresistance in metastatic breast cancer.

## Key findings

- CyTOF® identified CTCs and their DNA repair status with high accuracy.
- CTC HR status correlated with HR deficiency estimated from circulating tumor DNA.
- The method shows promise for real-time monitoring of tumor progression and chemoresistance.

## Abstract

Circulating tumor cells (CTCs) can serve as a liquid biopsy to gain insight into treatment responses and metastatic recurrence. Due to their rarity, the analysis of CTCs is challenging and commonly based on immunomagnetic technologies using antibodies against EpCAM. This study used mass cytometry (CyTOF®) for the identification and characterization of CTCs from longitudinally monitored metastatic breast cancer (mBC) patients. Functional analysis focused on DNA damage responses, particularly the DNA repair pathway of homologous recombination (HR) validated in BC cells from the pleura. Fifty‐two blood samples from 13 mBC patients were collected for the enumeration of CTCs using CellSearch® technology, isolation of CTCs together with peripheral blood mononuclear cells (PBMCs) and of plasma. Cell‐free DNA (cfDNA) from plasma was analyzed by shallow genome sequencing to determine tumor fraction (TF) and HR deficiency (HRD). CTC/PBMC mixtures were phenotyped by CyTOF® using a panel of 13 antibodies including anti‐γH2AX, 53BP1, and RAD51. CyTOF® identified CTCs correlating with CellSearch®‐ and cfDNA‐based quantifications, detected DNA damage in CTCs, and the dynamics of their HR status during genotoxic therapies. Our study shows that CyTOF®‐based phenotyping of CTCs from mBC patients shows promise as a method to monitor tumor progression and HR proficiency in real time for the identification of chemoresistance.

Circulating tumor cells can offer insights into treatment responses and metastatic recurrence, but current analysis methods are limited. Here, the authors tested a newly developed mass cytometry panel comprising biomarkers such as γH2AX and RAD51 in longitudinally monitored metastatic breast cancer patients. They not only identified circulating tumor cells but also captured their dynamic homologous recombination status during genotoxic therapies, showing large concordance with homologous recombination deficiency estimation using circulating tumor DNA. The results demonstrate the promise of the multiparametric method for monitoring tumor progression and identifying chemoresistance.

## Linked entities

- **Proteins:** H2AXA (Histone superfamily protein), RAD51 (RAD51 recombinase), TP53BP1 (tumor protein p53 binding protein 1)

## Full-text entities

- **Genes:** RAD51 (RAD51 recombinase) [NCBI Gene 5888] {aka BRCC5, FANCR, HRAD51, HsRad51, HsT16930, MRMV2}, EPCAM (epithelial cell adhesion molecule) [NCBI Gene 4072] {aka Ber-Ep4, BerEp4, DIAR5, EGP-2, EGP314, EGP40}, TP53BP1 (tumor protein p53 binding protein 1) [NCBI Gene 7158] {aka 53BP1, TDRD30, p202, p53BP1}, H2AX (H2A.X variant histone) [NCBI Gene 3014] {aka H2A.X, H2A/X, H2AFX}
- **Diseases:** breast cancer (MESH:D001943), tumor (MESH:D009369), HR deficiency (MESH:C535296)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12334908/full.md

## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12334908/full.md

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Source: https://tomesphere.com/paper/PMC12334908