建立和验证一个与缺氧相关的特征签名，用于预测肝细胞癌的预后。
8DEstablishment and validation of a hypoxia-related signature predicting prognosis in hepatocellular carcinoma.
机构信息
Emergency Department of Yinzhou No.2 Hospital, Ningbo, 315000, Zhejiang, China.
Gastroenterology Department of Ningbo No. 9 Hospital, Ningbo, 315000, Zhejiang, China.
出版信息
BMC Gastroenterol. 2021 Dec 12;21(1):463. doi: 10.1186/s12876-021-02057-0.
BACKGROUND
Hypoxia plays a crucial role in immunotherapy of hepatocellular carcinoma (HCC) by changing the tumor microenvironment. Until now the association between hypoxia genes and prognosis of HCC remains obscure. We attempt to construct a hypoxia model to predict the prognosis in HCC.
RESULTS
We screened out 3 hypoxia genes (ENO1, UGP2, TPI1) to make the model, which can predict prognosis in HCC. And this model emerges as an independent prognostic factor for HCC. A Nomogram was drawn to evaluate the overall survival in a more accurate way. Furthermore, immune infiltration state and immunosuppressive microenvironment of the tumor were detected in high-risk patients.
CONCLUSION
We establish and validate a risk prognostic model developed by 3 hypoxia genes, which could effectively evaluate the prognosis of HCC patients. This prognostic model can be used as a guidance for hypoxia modification in HCC patients undergoing immunotherapy.
背景
缺氧通过改变肿瘤微环境在肝细胞癌（HCC）的免疫治疗中起着至关重要的作用。到目前为止，缺氧基因与 HCC 预后之间的关联仍不清楚。我们试图构建一个缺氧模型来预测 HCC 的预后。
结果
我们筛选出 3 个缺氧基因（ENO1、UGP2、TPI1）来构建模型，该模型可预测 HCC 的预后。并且该模型成为 HCC 的独立预后因素。我们绘制了诺莫图，以便更准确地评估总体生存率。此外，在高危患者中检测到肿瘤的免疫浸润状态和免疫抑制微环境。
结论
我们建立并验证了一个由 3 个缺氧基因开发的风险预后模型，该模型可有效评估 HCC 患者的预后。该预后模型可作为接受免疫治疗的 HCC 患者缺氧修饰的指导。
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