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    標題: Chromatin Remodeling Enzyme Cluster Predicts Prognosis and Clinical Benefit of Therapeutic Strategy in Breast Cancer
    作者: Kuo, Chia-Yu
    Moi, Sin-Hua
    Hou, Ming-Feng
    Luo, Chi-Wen
    Pan, Mei-Ren
    貢獻者: Kaohsiung Med Univ Hosp, Dept Surg, Div Breast Oncol & Surg
    Kaohsiung Med Univ, Grad Inst Med, Coll Med
    Kaohsiung Med Univ, Grad Inst Clin Med
    Kaohsiung Med Univ, Res Ctr Precis Environm Med
    Kaohsiung Med Univ, Coll Life Sci, Dept Biomed Sci & Environm Biol
    Chia Nan Univ Pharm & Sci, Dept Cosmet Sci
    Chia Nan Univ Pharm & Sci, Inst Cosmet Sci
    Kaohsiung Med Univ Hosp, Ctr Canc Res
    Kaohsiung Med Univ, Drug Dev & Value Creat Res Ctr
    關鍵字: chromatin remodeling enzyme
    epigenetic modification
    chemotherapy
    radiotherapy
    hierarchical clustering
    日期: 2023
    上傳時間: 2024-12-25 11:04:04 (UTC+8)
    出版者: MDPI
    摘要: The treatment provided for breast cancer depends on the expression of hormone receptors, human epidermal growth factor receptor-2 (HER2), and cancer staging. Surgical intervention, along with chemotherapy or radiation therapy, is the mainstay of treatment. Currently, precision medicine has led to personalized treatment using reliable biomarkers for the heterogeneity of breast cancer. Recent studies have shown that epigenetic modifications contribute to tumorigenesis through alterations in the expression of tumor suppressor genes. Our aim was to investigate the role of epigenetic modifications in genes involved in breast cancer. A total of 486 patients from The Cancer Genome Atlas Pan-cancer BRCA project were enrolled in our study. Hierarchical agglomerative clustering analysis further divided the 31 candidate genes into 2 clusters according to the optimal number. Kaplan-Meier plots showed worse progression-free survival (PFS) in the high-risk group of gene cluster 1 (GC1). In addition, the high-risk group showed worse PFS in GC1 with lymph node invasion, which also presented a trend of better PFS when chemotherapy was combined with radiotherapy than when chemotherapy was administered alone. In conclusion, we developed a novel panel using hierarchical clustering that high-risk groups of GC1 may be promising predictive biomarkers in the clinical treatment of patients with breast cancer.
    關聯: International Journal of Molecular Sciences, v.24, n.6, Article 5583
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