Anat Cell Biol.  2023 Mar;56(1):94-108. 10.5115/acb.22.161.

Genetic heterogeneity of liver cancer stem cells

Affiliations
  • 1Department of Anatomy, School of Medicine, Pusan National University, Yangsan, Korea

Abstract

Cancer cell heterogeneity is a serious problem in the control of tumor progression because it can cause chemoresistance and metastasis. Heterogeneity can be generated by various mechanisms, including genetic evolution of cancer cells, cancer stem cells (CSCs), and niche heterogeneity. Because the genetic heterogeneity of CSCs has been poorly characterized, the genetic mutation status of CSCs was examined using Exome-Seq and RNA-Seq data of liver cancer. Here we show that different surface markers for liver cancer stem cells (LCSCs) showed a unique propensity for genetic mutations. Cluster of differentiation 133 (CD133)-positive cells showed frequent mutations in the IRF2, BAP1, and ERBB3 genes. However, leucine-rich repeat-containing G protein-coupled receptor 5-positive cells showed frequent mutations in the CTNNB1, RELN, and ROBO1 genes. In addition, some genetic mutations were frequently observed irrespective of the surface markers for LCSCs. BAP1 mutations was frequently observed in CD133-, CD24-, CD13-, CD90-, epithelial cell adhesion molecule-, or keratin 19-positive LCSCs. ASXL2, ERBB3, IRF2, TLX3, CPS1, and NFATC2 mutations were observed in more than three types of LCSCs, suggesting that common mechanisms for the development of these LCSCs. The present study provides genetic heterogeneity depending on the surface markers for LCSCs. The genetic heterogeneity of LCSCs should be considered in the development of LCSC-targeting therapeutics.

Keyword

Genetic heterogeneity; Cancer stem cell; Liver cancer

Figure

  • Fig. 1 Gene mutations associated with CD133 (A) or CD44 (B) expression level in liver cancer (TCGA, n=366). The frequency is based on the number of patients who harbor a specific gene mutation and is shown to depend on the level of CD133 or CD44 (high, intermediate, and low). The Ki-square analysis showed a significant association between the CD133 or CD44 expression level, and the gene mutations. CD, cluster of differentiation; TCGA, The Cancer Genome Atlas.

  • Fig. 2 Gene mutations associated with CD24 (A) or CD47 (B) expression level in liver cancer (TCGA, n=366). The frequency is based on the number of patients who harbor a specific gene mutation and is shown to depend on the level of CD24 or CD47 (high, intermediate, and low). The Ki-square analysis showed a significant association between the CD24 or CD47 expression level, and the gene mutations. CD, cluster of differentiation; TCGA, The Cancer Genome Atlas.

  • Fig. 3 Gene mutations associated with CD13 (A) or CD90 (B) expression level in liver cancer (TCGA, n=366). The frequency is based on the number of patients who harbor a specific gene mutation and is shown to depend on the level of CD13 or CD90 (high, intermediate, and low). The Ki-square analysis showed a significant association between the CD13 or CD90 expression level, and the gene mutations. CD, cluster of differentiation; TCGA, The Cancer Genome Atlas.

  • Fig. 4 Gene mutations associated with ICAM1 (A) or EpCAM (B) expression level in liver cancer (TCGA, n=366). The frequency is based on the number of patients who harbor a specific gene mutation and is shown to depend on the level of ICAM1 or EpCAM (high, intermediate, and low). The Ki-square analysis showed a significant association between the ICAM1 or EpCAM expression level, and the gene mutations. ICAM1, Intercellular adhesion molecule 1; EpCAM, epithelial cell adhesion molecule; TCGA, The Cancer Genome Atlas.

  • Fig. 5 Gene mutations associated with LGR5 (A) or KRT19 (B) expression level in liver cancer (TCGA, n=366). The frequency is based on the number of patients who harbor a specific gene mutation and is shown to depend on the level of LGR5 or KRT19 (high, intermediate and low). The Ki-square analysis showed a significant association between the LGR5 or KRT expression level, and the gene mutations. LGR5, leucine-rich repeat-containing G protein-coupled receptor 5; KRT19, keratin 19; TCGA, The Cancer Genome Atlas.


Reference

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