A seven-gene prognostic signature predicts overall survival of patients with lung adenocarcinoma (LUAD).
A seven-gene prognostic signature predicts overall survival of patients with lung adenocarcinoma (LUAD).
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七基因预后特征可预测肺腺癌 (LUAD) 患者的总生存期
DOI：
10.1186/s12935-021-01975-z
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发表时间：
2021-06-06
影响因子：
5.8
通讯作者：
Liu Q
中科院分区：
文献类型：
--
作者：
Al-Dherasi A;Huang QT;Liao Y;Al-Mosaib S;Hua R;Wang Y;Yu Y;Zhang Y;Zhang X;Huang C;Mousa H;Ge D;Sufiyan S;Bai W;Liu R;Shao Y;Li Y;Zhang J;Shi L;Lv D;Li Z;Liu Q
研究背景肺腺癌（LUAD）是世界上最常见的类型之一，死亡率很高。尽管治疗策略取得了进步，但总生存期 (OS) 仍然很短。我们的研究旨在建立与 LUAD 患者生存密切相关的可靠预后特征，以更好地预测预后，并可能有助于对 LUAD 患者进行个体化监测。方法原始 RNA 测序数据来自复旦大学，并用作训练组。筛选训练组的差异表达基因（DEG）。采用单变量、最小绝对收缩和选择算子（LASSO）和多变量cox回归分析来识别候选预后基因并构建风险评分模型。 Kaplan-Meier 分析、时间相关的受试者工作特征 (ROC) 曲线用于评估特征的预后能力和性能。此外，癌症基因组图谱（TCGA-LUAD）数据集进一步用于验证预后特征的预测能力。结果使用训练组构建了由七个预后相关基因组成的预后特征。 7 基因预后特征根据训练队列中的总生存率将患者显着分为高风险组和低风险组[风险比，HR = 8.94，95% 置信区间 (95% CI)] [2.041–39.2]； P = 0.0004），在验证队列中（HR = 2.41，95% CI [1.779–3.276]；P < 0.0001）。 Cox 回归分析（单变量和多变量）表明七基因特征是预测 LUAD 患者生存的独立预后生物标志物。 ROC 曲线显示，7 基因预后特征在训练组和验证组中（分别为 AUC = 0.91、AUC = 0.7）在预测 LUAD 患者的 OS 方面取得了良好的性能。此外，特征的分层分析显示了预测预后的另一种分类。结论我们的研究提出了一种新的可靠的预后特征，它对预测 LUAD 患者的总生存期具有重要意义，并可能有助于早期诊断和就潜在的个体治疗做出有效的临床决策。
BackgroundLung adenocarcinoma (LUAD) is one of the most common types in the world with a high mortality rate. Despite advances in treatment strategies, the overall survival (OS) remains short. Our study aims to establish a reliable prognostic signature closely related to the survival of LUAD patients that can better predict prognosis and possibly help with individual monitoring of LUAD patients.MethodsRaw RNA-sequencing data were obtained from Fudan University and used as a training group. Differentially expressed genes (DEGs) for the training group were screened. The univariate, least absolute shrinkage and selection operator (LASSO), and multivariate cox regression analysis were conducted to identify the candidate prognostic genes and construct the risk score model. Kaplan–Meier analysis, time-dependent receiver operating characteristic (ROC) curve were used to evaluate the prognostic power and performance of the signature. Moreover, The Cancer Genome Atlas (TCGA-LUAD) dataset was further used to validate the predictive ability of prognostic signature.ResultsA prognostic signature consisting of seven prognostic-related genes was constructed using the training group. The 7-gene prognostic signature significantly grouped patients in high and low-risk groups in terms of overall survival in the training cohort [hazard ratio, HR = 8.94, 95% confidence interval (95% CI)] [2.041–39.2]; P = 0.0004), and in the validation cohort (HR = 2.41, 95% CI [1.779–3.276]; P < 0.0001). Cox regression analysis (univariate and multivariate) demonstrated that the seven-gene signature is an independent prognostic biomarker for predicting the survival of LUAD patients. ROC curves revealed that the 7-gene prognostic signature achieved a good performance in training and validation groups (AUC = 0.91, AUC = 0.7 respectively) in predicting OS for LUAD patients. Furthermore, the stratified analysis of the signature showed another classification to predict the prognosis.ConclusionOur study suggested a new and reliable prognostic signature that has a significant implication in predicting overall survival for LUAD patients and may help with early diagnosis and making effective clinical decisions regarding potential individual treatment.
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影响因子：
37.3
作者：
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DOI：
10.1073/pnas.0712366105
发表时间：
2008-03-11
影响因子：
11.1
作者：
Hao, Zhengrong;Huang, Yan;Giordano, Frank J.
通讯作者：
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