Bioinformatics analysis of novel targets for treating cervical cancer by immunotherapy based on immune escape

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dc.contributor.authorY H Han-
dc.contributor.authorD Y Ma-
dc.contributor.authorSeung Jae Lee-
dc.contributor.authorY Y Mao-
dc.contributor.authorS Y Sun-
dc.contributor.authorM H Jin-
dc.contributor.authorH N Sun-
dc.contributor.authorTaeho Kwon-
dc.date.accessioned2023-07-06T16:32:34Z-
dc.date.available2023-07-06T16:32:34Z-
dc.date.issued2023-
dc.identifier.issn1109-6535-
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/32230-
dc.description.abstractBackground/aim: Cervical cancer (CC) is a high-risk disease in women, and advanced CC can be difficult to treat even with surgery, radiotherapy, and chemotherapy. Hence, developing more effective treatment methods is imperative. Cancer cells undergo a renewal process to escape immune surveillance and then attack the immune system. However, the underlying mechanisms remain unclear. Currently, only one immunotherapy drug has been approved by the Food and Drug Administration for CC, thus indicating the need for and importance of identifying key targets related to immunotherapy. Materials and methods: Data on CC and normal cervical tissue samples were downloaded from the National Center for Biotechnology Information database. Transcriptome Analysis Console software was used to analyze differentially expressed genes (DEGs) in two sample groups. These DEGs were uploaded to the DAVID online analysis platform to analyze biological processes for which they were enriched. Finally, Cytoscape was used to map protein interaction and hub gene analyses. Results: A total of 165 up-regulated and 362 down-regulated genes were identified. Among them, 13 hub genes were analyzed in a protein-protein interaction network using the Cytoscape software. The genes were screened out based on the betweenness centrality value and average degree of all nodes. The hub genes were as follows: ANXA1, APOE, AR, C1QC, CALML5, CD47, CTSZ, HSP90AA1, HSP90B1, NOD2, THY1, TLR4, and VIM. We identified the following 12 microRNAs (miRNAs) that target the hub genes: hsa-miR-2110, hsa-miR-92a-2-5p, hsa-miR-520d-5p, hsa-miR-4514, hsa-miR-4692, hsa-miR-499b-5p, hsa-miR-5011-5p, hsa-miR-6847-5p, hsa-miR-8054, hsa-miR-642a-5p, hsa-miR-940, and hsa-miR-6893-5p. Conclusion: Using bioinformatics, we identified potential miRNAs that regulated the cancer-related genes and long noncoding RNAs (lncRNAs) that regulated these miRNAs. We further elucidated the mutual regulation of mRNAs, miRNAs, and lncRNAs involved in CC occurrence and development. These findings may have major applications in the treatment of CC by immunotherapy and the development of drugs against CC.-
dc.publisherInt Inst Anticancer Research-
dc.titleBioinformatics analysis of novel targets for treating cervical cancer by immunotherapy based on immune escape-
dc.title.alternativeBioinformatics analysis of novel targets for treating cervical cancer by immunotherapy based on immune escape-
dc.typeArticle-
dc.citation.titleCancer Genomics & Proteomics-
dc.citation.number4-
dc.citation.endPage397-
dc.citation.startPage383-
dc.citation.volume20-
dc.contributor.affiliatedAuthorSeung Jae Lee-
dc.contributor.affiliatedAuthorTaeho Kwon-
dc.contributor.alternativeNameHan-
dc.contributor.alternativeNameMa-
dc.contributor.alternativeName이승재-
dc.contributor.alternativeNameMao-
dc.contributor.alternativeNameSun-
dc.contributor.alternativeNameJin-
dc.contributor.alternativeNameSun-
dc.contributor.alternativeName권태호-
dc.identifier.bibliographicCitationCancer Genomics & Proteomics, vol. 20, no. 4, pp. 383-397-
dc.identifier.doi10.21873/cgp.20390-
dc.subject.keywordCervical cancer-
dc.subject.keywordDifferentially expressed genes-
dc.subject.keywordImmune escape-
dc.subject.keywordmicroRNA-
dc.subject.keywordLong noncoding RNA-
dc.subject.localCervical cancer-
dc.subject.localCervical caner-
dc.subject.localcervical cancer-
dc.subject.localCervical Cancer-
dc.subject.localDifferentially expressed gene-
dc.subject.localDifferentially expressed genes-
dc.subject.localdifferentially expressed genes-
dc.subject.localDifferentially expressed genes (DEGs)-
dc.subject.localimmune escape-
dc.subject.localImmune escape-
dc.subject.localImmune Escape-
dc.subject.localmiRNA-
dc.subject.localmicroRNA-
dc.subject.localmicroRNA (miRNA)-
dc.subject.localmicroRNAs-
dc.subject.localMicroRNA-
dc.subject.localMicroRNA (miRNA)-
dc.subject.localMicroRNAs-
dc.subject.localmicro-RNA-
dc.subject.localMicroRNA.-
dc.subject.localLong non-coding RNA-
dc.subject.localLong non-coding RNAs-
dc.subject.locallong non-coding RNA-
dc.subject.localLong noncoding RNA-
dc.description.journalClassY-
Appears in Collections:
Jeonbuk Branch Institute > Functional Biomaterial Research Center > 1. Journal Articles
Jeonbuk Branch Institute > Primate Resources Center > 1. Journal Articles
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