國家衛生研究院 NHRI:Item 3990099045/14620
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    題名: Clustering of chromatin remodeling enzymes predicts prognosis and clinical benefit of therapeutic strategy in pancreatic cancer
    作者: Wang, HC;Shih, HY;Wu, CC;Chen, LT;Luo, CW;Liu, YC;Du, JS;Huang, MC;Su, YY;Chen, HD;Hsiao, HH;Moi, SH;Pan, MR
    貢獻者: National Institute of Cancer Research
    摘要: In recent years, translational research and pharmacological targeting of epigenetic modifications have become the focus of personalized therapy for patients with pancreatic cancer. Preclinical and clinical trials targeting post-translational modifications have been evaluated as monotherapy or in combination with standard chemotherapy. In this study, we selected 43 genes from seven families of chromatin-modifying enzymes and investigated the influences of epigenetic modifications and their interactions on pancreatic ductal adenocarcinoma (PDAC) using hierarchical clustering analysis. Our analysis also evaluated their effects on treatment modalities and regimens of chemotherapy for PDAC. RNA-seq data for a total of 177 patients with pancreatic cancer, obtained from The Cancer Genome Atlas database, were analyzed. Our results suggested that high-risk patients of survival significant chromatin remodeling-associated gene cluster (gene cluster 2), composed of histone methyltransferases, histone acetyltransferases, histone deacetylases, histone demethylases, and 10-11 translocation family, demonstrated inferior progression-free survival and overall survival in patients with PDAC, especially in men. Our novel biomarker, survival significant chromatin remodeling-associated gene cluster, showed superior prediction performance compared with the conventional TNM system. Overall, these findings suggest that epigenetic modifications and interactions play an important role in the prognosis and therapeutic response of patients with PDAC.
    日期: 2022-09-21
    關聯: International Journal of Medical Sciences. 2022 Sep 21;19(10):1615-1627.
    Link to: http://dx.doi.org/10.7150/ijms.73800
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1449-1907&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000864070400012
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85138908843
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