Scientific Reports (Dec 2023)

Phenotyping EMT and MET cellular states in lung cancer patient liquid biopsies at a personalized level using mass cytometry

  • Loukia G. Karacosta,
  • Danny Pancirer,
  • Jordan S. Preiss,
  • Jalen A. Benson,
  • Winston Trope,
  • Joseph B. Shrager,
  • Arthur Wai Sung,
  • Joel W. Neal,
  • Sean C. Bendall,
  • Heather Wakelee,
  • Sylvia K. Plevritis

DOI
https://doi.org/10.1038/s41598-023-46458-5
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Abstract Malignant pleural effusions (MPEs) can be utilized as liquid biopsy for phenotyping malignant cells and for precision immunotherapy, yet MPEs are inadequately studied at the single-cell proteomic level. Here we leverage mass cytometry to interrogate immune and epithelial cellular profiles of primary tumors and pleural effusions (PEs) from early and late-stage non-small cell lung cancer (NSCLC) patients, with the goal of assessing epithelial-mesenchymal transition (EMT) and mesenchymal-epithelial transition (MET) states in patient specimens. By using the EMT–MET reference map PHENOSTAMP, we observe a variety of EMT states in cytokeratin positive (CK+) cells, and report for the first time MET-enriched CK+ cells in MPEs. We show that these states may be relevant to disease stage and therapy response. Furthermore, we found that the fraction of CD33+ myeloid cells in PEs was positively correlated to the fraction of CK+ cells. Longitudinal analysis of MPEs drawn 2 months apart from a patient undergoing therapy, revealed that CK+ cells acquired heterogeneous EMT features during treatment. We present this work as a feasibility study that justifies deeper characterization of EMT and MET states in malignant cells found in PEs as a promising clinical platform to better evaluate disease progression and treatment response at a personalized level.