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本文引用的文献

1
Tumor-Infiltrating Leukocyte Composition and Prognostic Power in Hepatitis B- and Hepatitis C-Related Hepatocellular Carcinomas.乙型肝炎和丙型肝炎相关肝细胞癌中的肿瘤浸润白细胞组成和预后能力。
Genes (Basel). 2019 Aug 20;10(8):630. doi: 10.3390/genes10080630.
2
Immune landscape of hepatocellular carcinoma microenvironment: Implications for prognosis and therapeutic applications.肝细胞癌微环境的免疫景观:对预后和治疗应用的影响。
Liver Int. 2019 Sep;39(9):1608-1621. doi: 10.1111/liv.14192. Epub 2019 Jul 28.
3
Development of a New Nomogram Including Neutrophil-to-Lymphocyte Ratio to Predict Survival in Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization.一种包含中性粒细胞与淋巴细胞比值的新列线图的开发,用于预测接受经动脉化疗栓塞的肝细胞癌患者的生存情况。
Cancers (Basel). 2019 Apr 10;11(4):509. doi: 10.3390/cancers11040509.
4
Staging systems of hepatocellular carcinoma: A review.肝细胞癌的分期系统:综述
Indian J Gastroenterol. 2018 Nov;37(6):481-491. doi: 10.1007/s12664-018-0915-0. Epub 2018 Dec 29.
5
Long non-coding RNA NAP1L6 promotes tumor progression and predicts poor prognosis in prostate cancer by targeting Inhibin-β A.长链非编码RNA NAP1L6通过靶向抑制素-βA促进前列腺癌的肿瘤进展并预测不良预后。
Onco Targets Ther. 2018 Aug 17;11:4965-4977. doi: 10.2147/OTT.S163680. eCollection 2018.
6
Identification of Biomarkers Based on Differentially Expressed Genes in Papillary Thyroid Carcinoma.基于甲状腺乳头状癌差异表达基因的生物标志物鉴定。
Sci Rep. 2018 Jul 2;8(1):9912. doi: 10.1038/s41598-018-28299-9.
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Immune checkpoint therapy in liver cancer.肝癌的免疫检查点治疗。
J Exp Clin Cancer Res. 2018 May 29;37(1):110. doi: 10.1186/s13046-018-0777-4.
8
EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma.欧洲肝脏研究学会临床实践指南:肝细胞癌的管理
J Hepatol. 2018 Jul;69(1):182-236. doi: 10.1016/j.jhep.2018.03.019. Epub 2018 Apr 5.
9
The Burden of Primary Liver Cancer and Underlying Etiologies From 1990 to 2015 at the Global, Regional, and National Level: Results From the Global Burden of Disease Study 2015.2015 年全球疾病负担研究:1990 年至 2015 年全球、区域和国家一级原发性肝癌及相关病因负担。
JAMA Oncol. 2017 Dec 1;3(12):1683-1691. doi: 10.1001/jamaoncol.2017.3055.
10
Development and Validation of an Individualized Immune Prognostic Signature in Early-Stage Nonsquamous Non-Small Cell Lung Cancer.早期非鳞状非小细胞肺癌个体化免疫预后标志物的建立与验证。
JAMA Oncol. 2017 Nov 1;3(11):1529-1537. doi: 10.1001/jamaoncol.2017.1609.

九个免疫相关基因的联合特征:一种预测肝细胞癌预后的新风险评分

Combined signature of nine immune-related genes: a novel risk score for predicting prognosis in hepatocellular carcinoma.

作者信息

Tang Yunliang, Zeng Zhenguo, Wang Jiao, Li Guoyong, Huang Chao, Dong Xiaoyang, Feng Zhen

机构信息

Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanchang University Nanchang, Jiangxi, People's Republic of China.

Department of Critical Care Medicine, The First Affiliated Hospital of Nanchang University Nanchang, Jiangxi, People's Republic of China.

出版信息

Am J Transl Res. 2020 Apr 15;12(4):1184-1202. eCollection 2020.

PMID:32355535
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7191166/
Abstract

Hepatocellular carcinoma (HCC) is one of the most common internal malignancies worldwide and is associated with a poor prognosis. There is an urgent need to identify diagnostic and prognostic biomarkers of HCC pathogenesis and progression. Accordingly, in this study, we analyzed differentially expressed immune-related genes (IRGs) from 329 patients with HCC from The Cancer Genome Atlas datasets. Functional analysis revealed that the IRGs had potential effects on tumor immune processes, such as inflammatory responses and growth factor activity. In the training group, we constructed a nine-IRG formula to predict prognosis in patients with HCC. To validate the protein and mRNA levels of these IRGs, we used the Human Protein Atlas database and quantitative PCR analysis and found that most protein expression levels matched the corresponding mRNA expression levels. Furthermore, we also validated the prognostic value of the new risk model in another independent cohort (n = 277) from a Gene Expression Omnibus dataset (GSE14520). Our data suggested that there was a significant association between our risk model and patient prognosis. Stratification analysis showed that the nine-IRG signature was significantly associated with overall survival in men. Finally, the signature was found to be correlated with various clinicopathological features. Intriguingly, the prognostic index based on the IRGs reflected infiltration by several types of immune cells. In summary, our data provided evidence that the nine-IRG signature could serve as an independent biomarker to predict prognosis in patients with HCC.

摘要

肝细胞癌(HCC)是全球最常见的内部恶性肿瘤之一,且预后较差。迫切需要确定HCC发病机制和进展的诊断及预后生物标志物。因此,在本研究中,我们分析了来自癌症基因组图谱数据集的329例HCC患者的差异表达免疫相关基因(IRG)。功能分析表明,这些IRG对肿瘤免疫过程具有潜在影响,如炎症反应和生长因子活性。在训练组中,我们构建了一个九基因IRG公式来预测HCC患者的预后。为了验证这些IRG的蛋白质和mRNA水平,我们使用了人类蛋白质图谱数据库和定量PCR分析,发现大多数蛋白质表达水平与相应的mRNA表达水平相匹配。此外,我们还在另一个来自基因表达综合数据库(GSE14520)的独立队列(n = 277)中验证了新风险模型的预后价值。我们的数据表明,我们的风险模型与患者预后之间存在显著关联。分层分析显示,九基因IRG特征与男性患者的总生存期显著相关。最后,发现该特征与各种临床病理特征相关。有趣的是,基于IRG的预后指数反映了几种免疫细胞的浸润情况。总之,我们的数据提供了证据,表明九基因IRG特征可作为预测HCC患者预后的独立生物标志物。