Tumor-infiltrating immune cells in hepatocellular carcinoma: Tregs is correlated with poor overall survival
Tumor-infiltrating immune cells in hepatocellular carcinoma: Tregs is correlated with poor overall survival
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肝细胞癌中的肿瘤浸润免疫细胞：Treg 与较差的总体生存率相关
DOI：
10.1371/journal.pone.0231003
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发表时间：
2020-04
期刊：
影响因子：
3.7
通讯作者：
Hui Guo
中科院分区：
文献类型：
--
作者：
SiZhe Yu;Yu Wang;Jia Hou;WenYuan Li;Xiao Wang;LuoChengLing Xiang;DeLi Tan;WenJuan Wang;LiLi Jiang;Francois X. Claret;Min Jiao;Hui Guo
肿瘤浸润性免疫细胞（TIIC）的系统询问是预测临床结果和开发免疫疗法的关键。然而，关于肝细胞癌（HCC）的TIIC及其对患者预后的影响和免疫治疗的潜力知之甚少。我们应用1090个肿瘤的CIBERSORT，使用基因表达数据推断TIIC的22个子集的浸润。22个TIIC的无监督聚类分析显示了4个肿瘤簇，主要由巨噬细胞和T细胞定义，具有不同的预后和与免疫检查点分子的相关性，包括PD-1，CD 274，CTLA-4，LAG-3和IFNG。我们发现M1巨噬细胞数量减少或调节性T细胞增加的肿瘤与预后不良相关。在多因素考克斯分析的基础上，还建立了临床应用的列线图。总之，HCC中TIIC的组成是相当不同的，这是预后的重要决定因素，具有识别免疫治疗候选者的巨大潜力。
Systematic interrogation of tumor-infiltrating immune cells (TIICs) is key to the prediction of clinical outcome and development of immunotherapies. However, little is known about the TIICs of hepatocellular carcinoma (HCC) and its impact on the prognosis of patients and potential for immunotherapy. We applied CIBERSORT of 1090 tumors to infer the infiltration of 22 subsets of TIICs using gene expression data. Unsupervised clustering analysis by 22 TIICs revealed 4 clusters of tumors, mainly defined by macrophages and T cells, with distinct prognosis and associations with immune checkpoint molecules, including PD-1, CD274, CTLA-4, LAG-3 and IFNG. We found tumors with decreased number of M1 macrophages or increased regulatory T cells were associated with poor prognosis. Based on the multivariate Cox analysis, a nomogram was also established for clinical application. In conclusion, composition of the TIICs in HCC was quite different, which is an important determinant of prognosis with great potential to identify candidates for immunotherapy.
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程序性死亡配体1的表达模式与肝细胞癌的不同微环境和患者预后相关
影响因子：
8.8
作者：
Liu CQ;Xu J;Zhou ZG;Jin LL;Yu XJ;Xiao G;Lin J;Zhuang SM;Zhang YJ;Zheng L
通讯作者：
Zheng L
RNA-Seq 分析生成全面的转录组景观并揭示肝细胞癌中复杂的转录模式。
影响因子：
3.7
作者：
Huang Q;Lin B;Liu H;Ma X;Mo F;Yu W;Li L;Li H;Tian T;Wu D;Shen F;Xing J;Chen ZN
通讯作者：
Chen ZN
DOI：
10.1101/056101
发表时间：
2016-05
期刊：
bioRxiv
影响因子：
--
作者：
P. Charoentong;F. Finotello;Mihaela Angelova;Clemens Mayer;M. Efremova;D. Rieder;H. Hackl;Z. Trajanoski
通讯作者：
P. Charoentong;F. Finotello;Mihaela Angelova;Clemens Mayer;M. Efremova;D. Rieder;H. Hackl;Z. Trajanoski
影响因子：
82.9
作者：
Binnewies M;Roberts EW;Kersten K;Chan V;Fearon DF;Merad M;Coussens LM;Gabrilovich DI;Ostrand-Rosenberg S;Hedrick CC;Vonderheide RH;Pittet MJ;Jain RK;Zou W;Howcroft TK;Woodhouse EC;Weinberg RA;Krummel MF
通讯作者：
Krummel MF
影响因子：
64.5
作者：
Rooney MS;Shukla SA;Wu CJ;Getz G;Hacohen N
通讯作者：
Hacohen N