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Transcriptomic Profiling Reveals the Underlying Mechanism of Interferon-Epsilon (IFN-ε) and InterferonGamma (IFN-γ) Combination in Cervical Cancer

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  • Siew Woh Choo

    (Department of Biology, College of Science, Mathematics and Technology, Wenzhou-Kean University, China)

Abstract

Cervical cancer remains a global health challenge, with its treatment necessitating novel therapeutic strategies. This study delves into the synergistic effects of interferons IFN-ε and IFN-γ on cervical cancer using high-throughput sequencing technology, specifically targeting the HaLa S3 cell line. Our cell viability assays demonstrate that the combination of IFN-ε and IFN-γ exerts a substantial inhibitory effect on these cells. Transcriptomic analysis revealed a total of 6,265 differentially expressed genes (DEGs) were identified in cells treated by IFN-ε and IFN-γ, including 3,363 significantly up-regulated DEGs and 2,902 significantly down-regulated DEGs. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses suggest that the up-regulated DEGs mainly enriched in immune response.

Suggested Citation

  • Siew Woh Choo, 2023. "Transcriptomic Profiling Reveals the Underlying Mechanism of Interferon-Epsilon (IFN-ε) and InterferonGamma (IFN-γ) Combination in Cervical Cancer," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 54(1), pages 45510-45662, December.
    • Handle: RePEc:abf:journl:v:54:y:2023:i:1:p:45510-45662
    DOI: 10.26717/BJSTR.2023.54.008510
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