國家衛生研究院 NHRI:Item 3990099045/13279
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    题名: Mutation of the STK11 gene predicts recurrence of breast cancer
    作者: Wang, CY;Chang, YC;Kuo, YL;Lee, KT;Chen, PS;Cheung, CHA;Shen, CH;Chang, CP;Lai, MD;Shen, MR;Hsu, HP
    贡献者: National Institute of Cancer Research
    摘要: Introduction: Breast cancer is the most common cancer in women, and some patients develop recurrence after standard therapy. Effective predictors are urgently needed to detect recurrence earlier. Methods: We conducted a comprehensive study via an experimental and bioinformatics approach to detect mutated genes in breast cancer. Twenty-seven breast cancer patients who developed recurrence within 24 months postoperatively and 22 control cancer patients without recurrence were enrolled from National Cheng Kung University Hospital in Taiwan. Targeted deep sequencing was performed to assess the mutations among individuals with breast cancer using a panel of 143 cancer-associated genes. Bioinformatics and public databases were used to predict the protein functions of the mutated genes. Results: Mutations were identified in 49 breast cancer specimens, and the most frequently mutated genes were BRCA2, TP53, APC, ATM, BRCA1, NOTCH1, TET2, NF1, TSC2, PIK3CA, TSC1, PTEN, MSH2, PTCH1, PIK3R1, STK11, RB1, BAP1, CDH1 and FBXW7. Mutation of these genes was correlated with protein phosphorylation and autophosphorylation. Among these highly mutated genes, mutations of STK11 were associated with poor prognosis and increased recurrence of breast cancer. Knockdown of STK11 in triple negative breast cancer cell lines increases transcription of cytokines and modulates immune response. Conclusion: Our findings suggest that mutation of STK11 is correlated with early recurrence of breast cancer patients and it will become a powerful prognostic marker for recurrence of breast cancer. Suppression of STK11 signaling by gene mutation may contribute to immune escape.
    日期: 2020-08
    關聯: Cancer Research. 2020 Aug;80(16):Abstract number 2487.
    Link to: http://dx.doi.org/10.1158/1538-7445.Am2020-2487
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0008-5472&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000590059304359
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