Autophagy-Related Three-Gene Prognostic Signature for Predicting Survival in Esophageal Squamous Cell Carcinoma.
Autophagy-Related Three-Gene Prognostic Signature for Predicting Survival in Esophageal Squamous Cell Carcinoma.
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用于预测食管鳞状细胞癌生存的自噬相关三基因预后特征
DOI：
10.3389/fonc.2021.650891
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发表时间：
2021
影响因子：
4.7
通讯作者：
Zhang W
中科院分区：
文献类型：
--
作者：
Cui H;Weng Y;Ding N;Cheng C;Wang L;Zhou Y;Zhang L;Cui Y;Zhang W
食管鳞状细胞癌（ESCC）是我国最具侵袭性的恶性肿瘤之一，预后差。自噬是一种进化上保守的分解代谢过程，参与食管鳞癌的发生和发展。在这项研究中，我们描述了自噬相关基因（ARGs）在ESCC中的表达谱，并建立了一个基于ARGs表达模式的ESCC患者预后预测模型。我们使用四个ESCC组群，GSE 53624（119个样品）组作为发现组群，癌症基因组图谱（TCGA）ESCC组群（95个样品）作为验证组群，155个ESCC组群和Oncomine组群用于筛选和验证差异表达的ARG。我们从222个ARG中鉴定出34个差异表达基因。在发现队列中，我们将ESCC患者分为三组，这三组在预后方面存在显著差异。然后，我们分析了34个差异表达的ARG的预后。通过随机森林特征选择最终获得三个基因[聚（ADP-核糖）聚合酶1（PARP 1），整合素α-6（ITGA 6）和Fas相关死亡结构域（FADD）]，并构建为ARG相关的预后模型。该模型在TCGA ESCC组中得到进一步验证。考克斯回归分析证实三基因标记是ESCC患者的独立预后因素。该特征有效地按总生存期对发现和验证队列中的患者进行了分层（分别为P = 5.162 E-8和P = 0.052）。我们还构建了一个临床诺模图，其一致性指数为0.713，通过整合临床特征和ARG特征来预测ESCC患者的生存可能性。校正曲线证实诺模图预测与实际观测结果之间具有良好的一致性。总之，我们构建了一个新的ARG相关的预后模型，这表明有可能提高ESCC个体化预后预测的能力。
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignant tumors in China, and its prognosis remains poor. Autophagy is an evolutionarily conserved catabolic process involved in the occurrence and development of ESCC. In this study, we described the expression profile of autophagy-related genes (ARGs) in ESCC and developed a prognostic prediction model for ESCC patients based on the expression pattern of ARGs. We used four ESCC cohorts, GSE53624 (119 samples) set as the discovery cohort, The Cancer Genome Atlas (TCGA) ESCC set (95 samples) as the validation cohort, 155 ESCC cohort, and Oncomine cohort were used to screen and verify differentially expressed ARGs. We identified 34 differentially expressed genes out of 222 ARGs. In the discovery cohort, we divided ESCC patients into three groups that showed significant differences in prognosis. Then, we analyzed the prognosis of 34 differentially expressed ARGs. Three genes [poly (ADP-ribose) polymerase 1 (PARP1), integrin alpha-6 (ITGA6), and Fas-associated death domain (FADD)] were ultimately obtained through random forest feature selection and were constructed as an ARG-related prognostic model. This model was further validated in TCGA ESCC set. Cox regression analysis confirmed that the three-gene signature was an independent prognostic factor for ESCC patients. This signature effectively stratified patients in both discovery and validation cohorts by overall survival (P = 5.162E-8 and P = 0.052, respectively). We also constructed a clinical nomogram with a concordance index of 0.713 to predict the survival possibility of ESCC patients by integrating clinical characteristics and the ARG signature. The calibration curves substantiated fine concordance between nomogram prediction and actual observation. In conclusion, we constructed a new ARG-related prognostic model, which shows the potential to improve the ability of individualized prognosis prediction in ESCC.
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影响因子：
--
作者：
Li C;Wu ZH;Yuan K
通讯作者：
Yuan K
DOI：
10.1093/bioinformatics/bts251
发表时间：
2012-07-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Jiao X;Sherman BT;Huang da W;Stephens R;Baseler MW;Lane HC;Lempicki RA
通讯作者：
Lempicki RA
自噬相关特征对 I-III 期结肠癌早期复发的预后和预测价值
影响因子：
4.7
作者：
Mo, Shaobo;Dai, Weixing;Cai, Guoxiang
通讯作者：
Cai, Guoxiang
影响因子：
13.3
作者：
Mahalingam, Devalingam;Mita, Monica;Carew, Jennifer S.
通讯作者：
Carew, Jennifer S.
影响因子：
78.5
作者：
Mathew, Robin;Karantza-Wadsworth, Vassiliki;White, Eileen
通讯作者：
White, Eileen