Towards understanding cancer dormancy over strategic hitching up mechanisms to technologies

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dc.contributor.authorS Yang-
dc.contributor.authorJieun Seo-
dc.contributor.authorJ Choi-
dc.contributor.authorS H Kim-
dc.contributor.authorYunmin Kuk-
dc.contributor.authorKyung Chan Park-
dc.contributor.authorM Kang-
dc.contributor.authorSangwon Byun-
dc.contributor.authorJ Y Joo-
dc.date.accessioned2025-02-17T16:32:50Z-
dc.date.available2025-02-17T16:32:50Z-
dc.date.issued2025-
dc.identifier.issn1476-4598-
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/36951-
dc.description.abstractDelving into cancer dormancy has been an inherent task that may drive the lethal recurrence of cancer after primary tumor relief. Cells in quiescence can survive for a short or long term in silence, may undergo genetic or epigenetic changes, and can initiate relapse through certain contextual cues. The state of dormancy can be induced by multiple conditions including cancer drug treatment, in turn, undergoes a life cycle that generally occurs through dissemination, invasion, intravasation, circulation, immune evasion, extravasation, and colonization. Throughout this cascade, a cellular machinery governs the fate of individual cells, largely affected by gene regulation. Despite its significance, a precise view of cancer dormancy is yet hampered. Revolutionizing advanced single cell and long read sequencing through analysis methodologies and artificial intelligence, the most recent stage in the research tool progress, is expected to provide a holistic view of the diverse aspects of cancer dormancy.-
dc.publisherSpringer-BMC-
dc.titleTowards understanding cancer dormancy over strategic hitching up mechanisms to technologies-
dc.title.alternativeTowards understanding cancer dormancy over strategic hitching up mechanisms to technologies-
dc.typeArticle-
dc.citation.titleMolecular Cancer-
dc.citation.number0-
dc.citation.endPage47-
dc.citation.startPage47-
dc.citation.volume24-
dc.contributor.affiliatedAuthorJieun Seo-
dc.contributor.affiliatedAuthorYunmin Kuk-
dc.contributor.affiliatedAuthorKyung Chan Park-
dc.contributor.affiliatedAuthorSangwon Byun-
dc.contributor.alternativeName양수민-
dc.contributor.alternativeName서지은-
dc.contributor.alternativeName최정현-
dc.contributor.alternativeName김성현-
dc.contributor.alternativeName국윤민-
dc.contributor.alternativeName박경찬-
dc.contributor.alternativeName강민곤-
dc.contributor.alternativeName변상원-
dc.contributor.alternativeName주재열-
dc.identifier.bibliographicCitationMolecular Cancer, vol. 24, pp. 47-47-
dc.identifier.doi10.1186/s12943-025-02250-9-
dc.subject.keywordCancer-
dc.subject.keywordCancer dormancy-
dc.subject.keywordCancer recurrence-
dc.subject.keywordCancer transcriptomics-
dc.subject.keywordArtificial intelligence-
dc.subject.localCancer-
dc.subject.localCancers-
dc.subject.localcancer-
dc.subject.localArtificial intelligence-
dc.subject.localartificial intelligence-
dc.subject.localartificial intelliegence-
dc.subject.localArtificial Intelligence-
dc.description.journalClassY-
Appears in Collections:
Division of A.I. & Biomedical Research > Genomic Medicine Research Center > 1. Journal Articles
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