bioRxivCancer BiologyPreprint
CyTOF-based profiling of circulating tumor cells predicts aggressiveness and therapy response in SCLC liquid biopsies at a personalized level
Mukulika BoseiD, Cole RuoffiD, Shafqat EhsaniD, Catherine Allison StewartiD, Alberto José da Silva DuarteiD, Sayantan BhattacharyyaiD, Jiaqi LiiD, Benedict AnchangiD, Thomas WelteiD, Ashley Victorian, Fabiola Ester LujaniD, Lixia DiaoiD, Jing WangiD, Ken CheniD, Bingnan ZhangiD, Runsheng WangiD, Luisa M. Solis SotoiD, Alejandra G. SerranoiD, Robert J. CardnelliD, Carl Michael GayiD, Lauren A. ByersiD, Loukia Georgiou KaracostaiD
Abstract
Small-cell lung cancer (SCLC) is an aggressive neuroendocrine carcinoma characterized by high numbers of circulating tumor cells (CTCs). We applied CyTOF and a 20-marker antibody panel to detect and phenotype CTCs directly in liquid biopsies of 51 SCLC patients (treatment-naive, chemotherapy and immunotherapy-treated, and tarlatamab-treated), of which a subset were longitudinally tracked. Unsupervised clustering revealed distinct cell populations enriched in patient liquid biopsies compared to those from healthy donors. Further analysis identified CTC populations of the three established SCLC subtypes driven by the high expression of ASCL1, NeuroD1, and POU2F3 transcription factors respectively. Significant differences in CTC EMT markers, established therapeutic targets (e.g. DLL3), and subtype heterogeneity were observed between naive versus treated samples. Changes in subtype proportions were observed in longitudinally tracked samples in both treatment modalities. Our study demonstrates the utility of CyTOF for high-resolution CTC profiling, offering dynamic insights into CTC heterogeneity, treatment response, and resistance mechanisms. HighlightsO_LICTCs can be detected, subtyped and phenotyped in SCLC liquid biopsies using CyTOF C_LIO_LICTC subtypes and EMT states are differentially associated with treatment modality C_LIO_LICTC DLL3 levels and epithelial features increase following anti-DLL3 BiTE therapy C_LIO_LICyTOF CTC subtyping can predict disease aggressiveness C_LIO_LILongitudinal tracking reveals CTC plasticity and therapy response correlations C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/694669v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@384cbcorg.highwire.dtl.DTLVardef@35dd37org.highwire.dtl.DTLVardef@4e7d61org.highwire.dtl.DTLVardef@1098e4f_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: flow cytometry
- research focus: cell type annotation
- research focus: differential expression
- research focus: trajectory inference
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 2
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single cell profiling reveals novel tumor and myeloid subpopulations in small cell lung cancer
J. M. Chan, A. Quintanal-Villalonga, … C. M. Rudin·bioRxiv·Dec 1, 2020
- Transcription Factor Subtype Governs Response and Resistance to DLL3-Directed T-Cell Engagement in Small Cell Lung Cancer
Damien Vasseur, Shin Saito, … Matthew G. Oser·bioRxiv·Apr 8, 2026
- Genomic characteristics and clinical significance of CD56+ Circulating Tumor Cells in Small Cell Lung Carcinoma
C. Ricordel, L. Chaillot, … R. Pedeux·bioRxiv·Apr 30, 2022
- Subtyping of Small Cell Lung Cancer using plasma cell-free nucleosomes
G. Fialkoff, N. Takahashi, … A. Thomas·bioRxiv·Jun 24, 2022
- Cell-free Tumor Methylome Analysis of Small Cell Lung Cancer Patients Identifies Subgroups with Prognostic Associations
- Computational analysis reveals similarities and differences between SCLC subtypes
A. Singh, P. Desai, … M. K. Jolly·bioRxiv·Oct 27, 2021