Network dynamics analysis for cell-type transition of breast cancer cells네트워크 다이나믹스 분석을 통한 유방암 세포의 유형 변화 연구

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dc.contributor.advisorCho, Kwang-Hyun-
dc.contributor.advisor조광현-
dc.contributor.authorChoi, Sea Rom-
dc.date.accessioned2023-06-21T19:34:25Z-
dc.date.available2023-06-21T19:34:25Z-
dc.date.issued2022-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1021070&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/308052-
dc.description학위논문(박사) - 한국과학기술원 : 바이오및뇌공학과, 2022.2,[vii, 117 p. :]-
dc.description.abstractBasal-like breast cancer is the most aggressive subtype with the worst prognosis. Despite its high recurrence rate, chemotherapy is the only treatment for basal-like breast cancer, which lacks expression of hormone receptors. In contrast, luminal-A tumors express ERα and can undergo endocrine therapy for treatment. Previous studies have tried to develop effective treatments for basal-like patients using various therapeutics but failed due to the complex and dynamic nature of the disease. In this study, we performed a transcriptomic analysis of breast cancer patients to construct a simplified but essential molecular regulatory network model. Network control analysis identified potential targets and elucidated the underlying mechanisms of reprogramming basal-like cancer cells into luminal-A cells. Inhibition of BCL11A and HDAC1/2 effectively drove basal-like cells to transition to luminal-A cells and increased ERα expression, leading to increased tamoxifen sensitivity. High expression of BCL11A and HDAC1/2 correlated with poor prognosis in breast cancer patients. These findings identify mechanisms regulating breast cancer phenotypes and suggest the potential to reprogram basal-like breast cancer cells to enhance their targetability.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectBreast cancer▼aCancer Reversion▼aSystems Biology▼aNetwork Control▼aNetwork Analysis-
dc.subject유방암▼a암 리버젼▼a시스템 생물학▼a네트워크 컨트롤▼a네트워크 분석-
dc.titleNetwork dynamics analysis for cell-type transition of breast cancer cells-
dc.title.alternative네트워크 다이나믹스 분석을 통한 유방암 세포의 유형 변화 연구-
dc.typeThesis(Ph.D)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :바이오및뇌공학과,-
dc.contributor.alternativeauthor최새롬-
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