Diagnostic leukapheresis reveals distinct phenotypes of NSCLC circulating tumor cells.
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Rieckmann Lisa-Marie, Spohn Michael, Ruff Lisa, Agorku David, Becker Lisa, Borchers Alina, Krause Jenny, O'Reilly Roisin, Hille Jurek, Velthaus-Rusik Janna-Lisa, Beumer Niklas, Günther Armin, Willnow Lena, Imbusch Charles D, Iglauer Peter, Simon Ronald, Franzenburg Sören, Winter Hauke, Thomas Michael, Bokemeyer Carsten, Gagliani Nicola, Krebs Christian F, Sprick Martin, Hardt Olaf, Riethdorf Sabine, Trumpp Andreas, Stoecklein Nikolas H, Peine Sven, Rosenstiel Philipp, Pantel Klaus, Loges Sonja, Janning Melanie
Аннотация
METHODS: DLA was applied to six advanced stage NSCLC patients. For an unbiased CTC enrichment, a two-step approach based on negative depletion of hematopoietic cells was used. Single-cell (sc) whole-transcriptome sequencing was performed, and CTCs were identified based on gene signatures and inferred copy number variations.
RESULTS: Remarkably, this innovative approach led to the identification of unprecedented 3,363 CTC transcriptomes. The extensive heterogeneity among CTCs was unveiled, highlighting distinct phenotypes related to the epithelial-mesenchymal transition (EMT) axis, stemness, immune responsiveness, and metabolism. Comparison with sc transcriptomes from primary NSCLC cells revealed that CTCs encapsulate the heterogeneity of their primary counterparts while maintaining unique CTC-specific phenotypes.
CONCLUSIONS: In conclusion, this study pioneers a transformative method for enriching CTCs from DLA, resulting in a substantial increase in CTC numbers. This allowed the creation of the first-ever single-cell whole transcriptome in-depth characterization of the heterogeneity of over 3,300 NSCLC-CTCs. The findings not only confirm the diagnostic value of CTCs in monitoring tumor heterogeneity but also propose a CTC-specific signature that can be exploited for targeted CTC-directed therapies in the future. This comprehensive approach signifies a major leap forward, positioning CTCs as a key player in advancing our understanding of cancer dynamics and paving the way for tailored therapeutic interventions.