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基于自噬相关基因特征的肝细胞癌预后模型。

Construction prognosis model based on autophagy-related gene signatures in hepatocellular carcinoma.

机构信息

The First Clinical Medical College of Lanzhou University, Lanzhou City, 730000, Gansu Province, PR China.

Department of Radiation Oncology, First Hospital of Lanzhou University, Lanzhou City, 730000, Gansu Province, PR China.

出版信息

Biomark Med. 2020 Sep;14(13):1229-1242. doi: 10.2217/bmm-2020-0170.

DOI:10.2217/bmm-2020-0170
PMID:33021390
Abstract

To develop robust and accurate prognostic biomarkers to help clinicians optimize therapeutic strategies. Differentially prognosis-related autophagy genes were identified by bioinformatics analysis method. Seven prognosis-related autophagy genes were more significantly related to the prognosis of hepatocellular carcinoma (HCC). Functional enrichment analysis demonstrated that these genes were mainly enriched in the autophagy pathway. and exhibited significant prognostic value for HCC. Besides, the risk score and have significant significance with clinicopathological significance of HCC. The research has identified a number of prognosis-related autophagy genes that associated with the survival and clinical stage of HCC. In addition, the prognostic model can be used to calculate the patient's risk score and these prognosis-related autophagy genes might serve as therapeutic targets.

摘要

为了开发稳健且准确的预后生物标志物,以帮助临床医生优化治疗策略。通过生物信息学分析方法,鉴定出与预后相关的差异自噬基因。七种与预后相关的自噬基因与肝细胞癌(HCC)的预后更显著相关。功能富集分析表明,这些基因主要富集在自噬途径中。并且对 HCC 的预后具有显著的预测价值。此外,风险评分和与 HCC 的临床病理意义具有显著意义。该研究鉴定了一些与 HCC 患者的生存和临床分期相关的预后相关自噬基因。此外,预后模型可用于计算患者的风险评分,这些预后相关的自噬基因可能作为治疗靶点。

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