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Preliminary study on Xiaoliusan-induced inhibition of hepatocellular carcinoma using gene chip analysis

  • Mei Wu1,
  • Kun-Lun Wu2,* and
  • Chao-Feng Zhang1
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Abstract

Objective

We explored inhibiting effects of Xiaoliusan (XLS) on hepatocellular carcinoma (HCC) cell growth by examining differential gene expression in HepG2 cells after XLS treatments.

Methods

HepG2 cells were treated for 24 h with either XLS ('treatment') or with PBS ('control') for 24 h to assess the effects of XLS on HepG2 proliferation. Differential gene expression was examined using a gene chip, and GO enrichment, KEGG pathway enrichment, and protein interaction network analyses were performed.

Results

XLS inhibited HepG2 proliferation in a dose-dependent manner, with an IC50 of 1.45 mg/mL. The whole-genome ChIP test of XLS-treated cells showed differential expression of 802 genes, 283 of which were up-regulated and 519 were down-regulated, compared with control cells. Using inductive analysis, we found that differentially expressed genes were mainly genes associated with the extracellular matrix (COL1A1, COL1A2, and ECM-receptor interaction pathway, among others) and with cell differentiation and proliferation (RAC1, MYC, and PI3KAkt signaling pathway, among others).

Conclusions

XLS inhibited HCC cell growth by targeting extracellular matrix genes in the tumor microenvironment and tumor growth, however, further research would be needed to elucidate the underlying mechanisms.

Keywords

Xiaoliusan, Hepatocellular carcinoma, Gene chip, HepG2

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Cite this article
Wu M, Wu KL, Zhang CF. Preliminary study on Xiaoliusan-induced inhibition of hepatocellular carcinoma using gene chip analysis. Gastroenterol & Hepatol Res. 2020;2(1):5-11. doi: 10.53388/ghr2020-03-008.
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Article History
Received Revised Accepted Published
March 12, 2020
DOI http://dx.doi.org/10.53388/ghr2020-03-008
  • Gastroenterology & Hepatology Research
  • eISSN 2703-173X
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Preliminary study on Xiaoliusan-induced inhibition of hepatocellular carcinoma using gene chip analysis

Mei Wu, Kun-Lun Wu, Chao-Feng Zhang
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