Open Access

Transcriptome analysis of sinensetin-treated liver cancer cells guided by biological network analysis

  • Authors:
    • Seong Min Kim
    • Shailima Rampogu
    • Preethi Vetrivel
    • Apoorva M. Kulkarni
    • Sang Eun Ha
    • Hun Hwan Kim
    • Keun Woo Lee
    • Gon Sup Kim
  • View Affiliations

  • Published online on: March 4, 2021     https://doi.org/10.3892/ol.2021.12616
  • Article Number: 355
  • Copyright: © Kim et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Hepatocellular carcinoma is recognized as one of the most frequently occurring malignant types of liver cancer globally, making the identification of biomarkers critically important. The aim of the present study was to identify the genes involved in the anticancer effects of flavonoid compounds so that they may be used as targets for cancer treatment. Sinensetin (SIN), an isolated polymethoxyflavone monomer compound, possesses broad antitumor activities in vitro. Therefore, the identification of a transcriptome profile on the condition of cells treated with SIN may aid to better understand the genes involved and its mechanism of action. Genomic profiling studies of cancer are increasing rapidly in order to provide gene expression data that can reveal prognostic biomarkers to combat liver cancer. In the present study, high‑throughput RNA sequencing (RNA‑seq) was performed to reveal differential gene expression patterns between SIN‑treated and SIN‑untreated human liver cancer HepG2 cells. A total of 43 genes were identified to be differentially expressed (39 downregulated and 4 upregulated in the SIN‑treated group compared with the SIN‑untreated group). An extensive network analysis for these 43 genes resulted in the identification of 10 upregulated highly interconnected hub genes that contributed to the progression of cancer. Functional enrichment analysis of these 10 hub genes revealed their involvement in the regulation of apoptotic processes, immune response and tumor necrosis factor production. Additionally, the mRNA expression levels of these 10 genes were evaluated using reverse transcription‑quantitative PCR, and the results were consistent with the RNA‑seq data. Overall, the results of the present study revealed differentially expressed genes involved in cancer after SIN treatment in HepG2 cells and may help to develop strategies targeting these genes for treating liver cancer.
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May-2021
Volume 21 Issue 5

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Spandidos Publications style
Kim SM, Rampogu S, Vetrivel P, Kulkarni AM, Ha SE, Kim HH, Lee KW and Kim GS: Transcriptome analysis of sinensetin-treated liver cancer cells guided by biological network analysis. Oncol Lett 21: 355, 2021
APA
Kim, S.M., Rampogu, S., Vetrivel, P., Kulkarni, A.M., Ha, S.E., Kim, H.H. ... Kim, G.S. (2021). Transcriptome analysis of sinensetin-treated liver cancer cells guided by biological network analysis. Oncology Letters, 21, 355. https://doi.org/10.3892/ol.2021.12616
MLA
Kim, S. M., Rampogu, S., Vetrivel, P., Kulkarni, A. M., Ha, S. E., Kim, H. H., Lee, K. W., Kim, G. S."Transcriptome analysis of sinensetin-treated liver cancer cells guided by biological network analysis". Oncology Letters 21.5 (2021): 355.
Chicago
Kim, S. M., Rampogu, S., Vetrivel, P., Kulkarni, A. M., Ha, S. E., Kim, H. H., Lee, K. W., Kim, G. S."Transcriptome analysis of sinensetin-treated liver cancer cells guided by biological network analysis". Oncology Letters 21, no. 5 (2021): 355. https://doi.org/10.3892/ol.2021.12616