A Novel Automated Analysis Of Flow Cytometry Data Identifies Distinct Cell Signatures In The Immune System Of CLL Patients
Rueter J,Philip V,Karuturi K et al.




Key Points:
  • Novel immunotherapeutic drugs show promising results.

  • An unmet need for accurate and specific biomarkers.

  • FLOCK identifies clusters of putatively similar cells in individual sample by multidimensional clustering of fluorescence marker and light-scattering measurements.

  • Identified common “cell signatures” across multiple patients.

  • Cell signatures then mapped back onto individual patient samples.

  • Analysis revealed distinct differences between controls and CLL patients.

  • Able to differentiate between distinct clinical subpopulations of patients.

Implications:

  • Marker for overall health/disease status, and could be used for diagnosis, prognosis, and selection of optimal treatment.

  • This tool will be crucial for defining individual patient progno­sis, and defining accurately matched treatment plan.


View the original abstract on the ASH website.






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