Open Access

Machine learning model reveals roles of interferon‑stimulated genes in sorafenib‑resistant liver cancer

  • Authors:
    • Deok Hwa Seo
    • Ji Woo Park
    • Hee Won Jung
    • Min Woo Kang
    • Byung Yoon Kang
    • Dong Yeup Lee
    • Jae Jun Lee
    • Seung Kew Yoon
    • Jeong Won Jang
    • Jae Gyoon Ahn
    • Pil Soo Sung
  • View Affiliations

  • Published online on: July 15, 2024     https://doi.org/10.3892/ol.2024.14571
  • Article Number: 438
  • Copyright: © Seo et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

HCC (Hepatocellular carcinoma) is the most common malignant tumor; however, the molecular pathogenesis of these tumors is not well understood. Sorafenib, an approved treatment for HCC, inhibits angiogenesis and tumor cell proliferation. However, only ~30% of patients are sensitive to sorafenib and most show disease progression, indicating resistance to sorafenib. The present study used machine learning to investigate several mechanisms related to sorafenib resistance in liver cancer cells. This revealed that unphosphorylated interferon‑stimulated genes (U‑ISGs) were upregulated in sorafenib‑resistant liver cancer cells, and the unphosphorylated ISGF3 (U‑ISGF3; unphosphorylated STAT1, unphosphorylated STAT2 and IRF9) complex was increased in sorafenib‑resistant liver cancer cells. Further study revealed that the knockdown of the U‑ISGF3 complex downregulated U‑ISGs. In addition, inhibition of the U‑ISGF3 complex downregulated cell viability in sorafenib‑resistant liver cancer cells. These results suggest that U‑ISGF3 induced sorafenib resistance in liver cancer cells. Also, this mechanism may also be relevant to patients with sorafenib resistance.
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September-2024
Volume 28 Issue 3

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

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Copy and paste a formatted citation
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Spandidos Publications style
Seo DH, Park JW, Jung HW, Kang MW, Kang BY, Lee DY, Lee JJ, Yoon SK, Jang JW, Ahn JG, Ahn JG, et al: Machine learning model reveals roles of interferon‑stimulated genes in sorafenib‑resistant liver cancer. Oncol Lett 28: 438, 2024
APA
Seo, D.H., Park, J.W., Jung, H.W., Kang, M.W., Kang, B.Y., Lee, D.Y. ... Sung, P.S. (2024). Machine learning model reveals roles of interferon‑stimulated genes in sorafenib‑resistant liver cancer. Oncology Letters, 28, 438. https://doi.org/10.3892/ol.2024.14571
MLA
Seo, D. H., Park, J. W., Jung, H. W., Kang, M. W., Kang, B. Y., Lee, D. Y., Lee, J. J., Yoon, S. K., Jang, J. W., Ahn, J. G., Sung, P. S."Machine learning model reveals roles of interferon‑stimulated genes in sorafenib‑resistant liver cancer". Oncology Letters 28.3 (2024): 438.
Chicago
Seo, D. H., Park, J. W., Jung, H. W., Kang, M. W., Kang, B. Y., Lee, D. Y., Lee, J. J., Yoon, S. K., Jang, J. W., Ahn, J. G., Sung, P. S."Machine learning model reveals roles of interferon‑stimulated genes in sorafenib‑resistant liver cancer". Oncology Letters 28, no. 3 (2024): 438. https://doi.org/10.3892/ol.2024.14571