DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Cho, Kwang-Hyun | - |
dc.contributor.advisor | 조광현 | - |
dc.contributor.author | Choi, Sea Rom | - |
dc.date.accessioned | 2023-06-21T19:34:25Z | - |
dc.date.available | 2023-06-21T19:34:25Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1021070&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/308052 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 바이오및뇌공학과, 2022.2,[vii, 117 p. :] | - |
dc.description.abstract | Basal-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.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Breast cancer▼aCancer Reversion▼aSystems Biology▼aNetwork Control▼aNetwork Analysis | - |
dc.subject | 유방암▼a암 리버젼▼a시스템 생물학▼a네트워크 컨트롤▼a네트워크 분석 | - |
dc.title | Network dynamics analysis for cell-type transition of breast cancer cells | - |
dc.title.alternative | 네트워크 다이나믹스 분석을 통한 유방암 세포의 유형 변화 연구 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :바이오및뇌공학과, | - |
dc.contributor.alternativeauthor | 최새롬 | - |
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