Identification of an immune-related risk signature and nomogram predicting the overall survival in patients with endometrial cancer.
Identification of an immune-related risk signature and nomogram predicting the overall survival in patients with endometrial cancer.
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识别免疫相关风险特征和列线图预测子宫内膜癌患者的总体生存率
DOI：
10.3802/jgo.2021.32.e30
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发表时间：
2021-05
影响因子：
3.9
通讯作者：
Wang J
中科院分区：
文献类型：
--
作者：
Cheng Y;Li X;Dai Y;Dong Y;Yang X;Wang J
目的构建预测子宫内膜癌(EC)预后的免疫相关风险特征和诺模图。基于癌症基因组图谱(TCGA)和基因表达总表(GEO)数据库，利用最小绝对收缩和选择算子回归分析构建了EC的免疫相关风险特征。通过Kaplan-Meier生存曲线和受试者工作特征(ROC)曲线，建立免疫相关基因与临床病理特征相结合的诺模图，预测EC患者的总生存期(OS)。使用Expression Data(Estimate)R工具估计恶性肿瘤组织中的间质和免疫细胞，以探讨免疫和间质评分。使用CCL17、CTLA4、GPI、HDGF、HFE2、ICOS、IFNG、IL21R、KAL1、NR3C1、S100A2和S100A9建立了免疫相关风险特征评估模型。卡普兰-梅耶曲线表明，低风险组的患者有更好的OS(p<；0.001)。该模型的ROC曲线下面积(AUC值)在3年、5年和7年分别为0.737、0.764和0.782。结合免疫相关风险模型和临床特征的诺模图可以准确预测OS(3年、5年和7年的AUC值分别为0.772、0.786和0.817)。高危组4项免疫细胞评分均较低。Forkhead box P3(FOXP3)和碱性亮氨酸拉链ATF-like转录因子(BATF)在免疫相关风险信号中显示出潜在的重要作用。12个免疫相关基因特征和诺模图对评估EC患者的OS有较好的实用价值。
Aimed to construct an immune-related risk signature and nomogram predicting endometrial cancer (EC) prognosis. An immune-related risk signature in EC was constructed using the least absolute shrinkage and selection operator regression analysis based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A nomogram integrating the immune-related genes and the clinicopathological characteristics was established and validated using the Kaplan-Meier survival curve and receiver operating characteristic (ROC) curve to predict the overall survival (OS) of EC patients. The Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) R tool was used to explore the immune and stromal scores. CCL17, CTLA4, GPI, HDGF, HFE2, ICOS, IFNG, IL21R, KAL1, NR3C1, S100A2, and S100A9 were used in developing an immune-related risk signature evaluation model. The Kaplan-Meier curve indicated that patients in the low-risk group had better OS (p<0.001). The area under the ROC curve (AUC) values of this model were 0.737, 0.764, and 0.782 for the 3-, 5-, and 7-year OS, respectively. A nomogram integrating the immune-related risk model and clinical features could accurately predict the OS (AUC=0.772, 0.786, and 0.817 at 3-, 5-, and 7-year OS, respectively). The 4 immune cell scores were lower in the high-risk group. Forkhead box P3 (FOXP3) and basic leucine zipper ATF-like transcription factor (BATF) showed a potential significant role in the immune-related risk signature. Twelve immune-related genes signature and nomogram for assessing the OS of patients with EC had a good practical value.
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影响因子：
5.6
作者：
Kim, Seong-Hun;Jin, Hua;Kim, Soo Mi
通讯作者：
Kim, Soo Mi
DOI：
10.1158/1078-0432.ccr-16-2655
发表时间：
2017-08-01
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
--
作者：
Pakish JB;Zhang Q;Chen Z;Liang H;Chisholm GB;Yuan Y;Mok SC;Broaddus RR;Lu KH;Yates MS
通讯作者：
Yates MS
影响因子：
3.6
作者：
Jiao, Fangdong;Sun, Hao;Chen, Jun
通讯作者：
Chen, Jun
DOI：
10.14366/usg.16045
发表时间：
2018-01
期刊：
Ultrasonography (Seoul, Korea)
影响因子：
--
作者：
Kim SM;Kim Y;Jeong K;Jeong H;Kim J
通讯作者：
Kim J
影响因子：
5.8
作者：
Lachmann, Alexander;Xu, Huilei;Ma'ayan, Avi
通讯作者：
Ma'ayan, Avi