Single-cell transcriptome analysis reveals dynamic changes of the preclinical A549 cancer models, and the mechanism of dacomitinib

Eur J Pharmacol. 2023 Dec 5:960:176046. doi: 10.1016/j.ejphar.2023.176046. Epub 2023 Sep 12.

Abstract

The in vitro A549 cells, and A549 xenografts in nude mouse, were two commonly used models for anti-cancer drug discovery. However, the biological and molecular characteristics of these two classic models, and also the dynamic transcriptome changes after dacomitinib exposure remains elusive. We performed single-cell RNA sequencing to define the transcriptome profile at single-cell resolution, and processed tumor samples for bulk RNA and protein analysis to validate the differently expressed genes. Transcriptome profiling revealed that the in vitro A549 cells are heterogeneous. The minimal subpopulation of the in vitro A549 cells, which were characterized by the signature of response to unfolded protein, became the overriding subpopulation of the xenografts. The EGFR non-activating A549 cells were resistant to dacomitinib in vitro, while A549 xenografts were comparatively sensitive as EGFR-activating HCC827 xenografts. Dacomitinib inhibited MAPK signaling pathway, and increased the immune response in the A549 xenografts. A phagocytosis checkpoint stanniocalcin-1 (STC1) was significantly inhibited in dacomitinib-treated xenografts. So here our study gives the first insight of the heterogeneity of the two classic models, and the translational potential of dacomitinib being used into a broader patient population rather than EGFR common activating mutation.

Keywords: Cellular heterogeneity; Dacomitinib; Immunomodulation; Stanniocalcin-1; Xenograft model.

MeSH terms

  • Animals
  • Carcinoma, Non-Small-Cell Lung* / pathology
  • ErbB Receptors / genetics
  • ErbB Receptors / metabolism
  • Humans
  • Lung Neoplasms* / drug therapy
  • Lung Neoplasms* / genetics
  • Lung Neoplasms* / pathology
  • Mice
  • Mutation
  • Protein Kinase Inhibitors / pharmacology
  • Quinazolinones / pharmacology
  • Single-Cell Gene Expression Analysis

Substances

  • dacomitinib
  • ErbB Receptors
  • Protein Kinase Inhibitors
  • Quinazolinones