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Multi-Gene Single Nucleotide Polymorphism Detection in Gastric Cancer Based on Ion Semiconductor Sequencing Platform
Published on: May 10, 2024
Genes associated with human hepatocellular carcinoma cell chemosensitivity to 5-fluorouracil plus interferon-alpha
Masaru Moriyama1, Yujin Hoshida, Naoya Kato
1Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Abstract:
Recently, combined chemotherapy with 5-fluorouracil (5-FU) and interferon (IFN)-alpha has been reported to show marked effects in patients with advanced hepatocellular carcinoma. We investigated the genes associated with susceptibility to this combination therapy. The gene expression profiles of eight human hepatocellular carcinoma cells (HepG2, Hep3B, Huh7, Huh6, PLC/PRF/5, HLE, HLF, and SK-Hep1) were evaluated using an oligonucleotide microarray that consisted of 3,800 genes. The 50% growth inhibitory concentration (GI50) values for 5-FU, IFN-alpha, and the combination of 5-FU plus IFN-alpha were determined by the MTT assay. We selected genes that were expressed differentially between the cells with increased susceptibility to the combination therapy and the remaining cells. Relevance networks of the gene expression patterns and GI50 values of the susceptible cells were constructed to find genes associated with susceptibility to the combination therapy. Of the eight cells tested, five showed increased susceptibility to 5-FU plus IFN-alpha compared with 5-FU treatment alone. Among the 3,800 genes, 25 were expressed differentially between susceptible cells and resistant cells. The relevance networks revealed that sensitivity to 5-FU plus IFN-alpha involved the expression of 27 independent genes, which included 10 genes that are commonly associated with sensitivity to 5-FU alone. We selected a set of genes to predict susceptibility to 5-FU plus IFN-alpha combination therapy. We also selected genes that play key roles in the synergistic effect of this combination therapy. These gene sets should prove useful in evaluations of the efficacy and underlying molecular mechanisms of this combination therapy.
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