An Individualized Immune Prognostic Index is a Superior Predictor of Survival of Hepatocellular Carcinoma
An Individualized Immune Prognostic Index is a Superior Predictor of Survival of Hepatocellular Carcinoma
复制标题
个体化免疫预后指数是肝细胞癌生存的高级预测因子
DOI：
10.12659/msm.921786
复制
发表时间：
2020-03
影响因子：
3.1
通讯作者：
Yang Hong
中科院分区：
文献类型：
--
作者：
Wang Xiaodong;Wu Yuquan;Wen Dongyue;Wu Lin-yong;Zhao Yujia;He Yun;Yang Hong
背景肿瘤微环境在很大程度上是由免疫细胞调控的。大量的证据表明，它们在评估临床疗效和免疫治疗效果方面具有良好的临床病理应用价值。因此，迫切需要一种基于免疫细胞的适度、个性化的预后标志物，能够估计预后并反映肝细胞癌患者的免疫微环境。材料/方法我们通过分析来自3个公共队列的638例肝癌患者，包括2个基因芯片数据集和1个RNA测序数据集，系统地分析了肿瘤浸润性免疫细胞的表达差异和生存预测价值。计算算法CiberSort软件被用来计算免疫细胞的相对水平。ConsensuClusterPlus软件包定义了3种免疫微环境亚型。采用单因素和多因素生存分析，建立基于免疫细胞对的个体化免疫预后指数。结果值得注意的是，免疫信号评分较高的肝癌患者预后较差(风险比=2.742；95%可信区间：1.887-3.983；P<；0.001)。亚组分析表明，预后标志在早期患者中表现得特别好。此外，在另外两个独立队列GSE14520和GSE76427中也证实了中度生存预测价值。结论本研究对肝细胞癌的免疫细胞特征提供了系统的认识，并提示其优越的生存监测性能。
Background The tumor microenvironment is largely orchestrated by the immune cells. Considerable evidence has shown their excellent clinicopathological application value in assessment of clinical outcomes and immunotherapy efficacy. Hence, a moderate, individualized prognostic signature based on immune cells that can estimate prognosis and reflect the immune microenvironment in hepatocellular carcinoma (HCC) patients is greatly needed. Material/Methods Here, we systematically analyzed the expression differences and survival prediction value of tumor infiltrating immune cells by analyzing 638 HCC patients from 3 public cohorts, including 2 microarray datasets and 1 RNA sequencing dataset. CIBERSORT software, a computational algorithm, was used to calculate the relative levels of immune cells. Three immune microenvironment subtypes were defined via ConsensuClusterPlus package. Univariate and multivariate survival analyses were used to develop an individualized immune prognostic index based on immune cell pairs. Results Notably, HCC patients with higher immune signatures score, utterly appreciable, suffered inferior prognosis (hazard ratio=2.742; 95% confidence interval: 1.887–3.983; P<0.001). Subgroup analysis suggested that the prognostic signature did particularly well in early-stage patients. Furthermore, moderate survival prediction value was also confirmed in another two independent cohorts GSE14520 and GSE76427. Conclusions This study provides a systematic view of the immune cells characteristics in HCC and suggests their superior survival monitoring performance.
登录
查看更多内容
影响因子：
81.5
作者：
Llovet, Josep M.;Zucman-Rossi, Jessica;Gores, Gregory
通讯作者：
Gores, Gregory
影响因子：
5.1
作者：
Marrero, Jorge A;Pelletier, Shawn
通讯作者：
Pelletier, Shawn
影响因子：
14.9
作者：
Colaprico A;Silva TC;Olsen C;Garofano L;Cava C;Garolini D;Sabedot TS;Malta TM;Pagnotta SM;Castiglioni I;Ceccarelli M;Bontempi G;Noushmehr H
通讯作者：
Noushmehr H
影响因子：
3.7
作者：
Kong LQ;Zhu XD;Xu HX;Zhang JB;Lu L;Wang WQ;Zhang QB;Wu WZ;Wang L;Fan J;Tang ZY;Sun HC
通讯作者：
Sun HC
影响因子：
1.5
作者：
Gilles, HoChong;Garbutt, Tonora;Landrum, Jasmine
通讯作者：
Landrum, Jasmine