A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma.
A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma.
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一种具有 8 个 miRNA 特征的新型风险评分模型，用于衡量肺腺癌患者的总体生存率。
DOI：
10.3389/fgene.2021.741112
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发表时间：
2021
影响因子：
3.7
通讯作者：
Shi T
中科院分区：
文献类型：
--
作者：
Wu J;Lou Y;Ma YM;Xu J;Shi T
肺腺癌（LUAD）是最常见的肺癌亚型，具有异质性结局和不同的治疗反应。为了将患者分为不同的组并促进合适的治疗策略，我们首先基于多策略组合，包括差异表达分析、调节关系、单变量生存分析、重要性聚类和多变量组合分析，从癌症基因组图谱（TCGA）-LUAD队列中选择8个microRNA（miRNA）标签。使用8个miRNA标签，我们进一步根据预定义的截止值和β系数建立了新的风险评分，并将患者分为高风险和低风险组，总生存时间显著不同（p值< 2 e-16）。风险评分模型通过独立数据集得到证实（p值= 4.71 e−4）。我们还观察到早期患者的风险评分显著低于晚期患者。此外，我们的模型也可以提供新的见解，目前的临床分期系统，可以被视为一个替代系统的患者分层。该模型将变量值统一为β系数，便于整合从不同组学数据获得的生物标志物。
Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer with heterogeneous outcomes and diverse therapeutic responses. To classify patients into different groups and facilitate the suitable therapeutic strategy, we first selected eight microRNA (miRNA) signatures in The Cancer Genome Atlas (TCGA)-LUAD cohort based on multi-strategy combination, including differential expression analysis, regulatory relationship, univariate survival analysis, importance clustering, and multivariate combinations analysis. Using the eight miRNA signatures, we further built novel risk scores based on the predefined cutoff and beta coefficients and divided the patients into high-risk and low-risk groups with significantly different overall survival time (p-value < 2 e−16). The risk-score model was confirmed with an independent dataset (p-value = 4.71 e−4). We also observed that the risk scores of early-stage patients were significantly lower than those of late-stage patients. Moreover, our model can also provide new insights into the current clinical staging system and can be regarded as an alternative system for patient stratification. This model unified the variable value as the beta coefficient facilitating the integration of biomarkers obtained from different omics data.
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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：
14.9
作者：
Karagkouni D;Paraskevopoulou MD;Chatzopoulos S;Vlachos IS;Tastsoglou S;Kanellos I;Papadimitriou D;Kavakiotis I;Maniou S;Skoufos G;Vergoulis T;Dalamagas T;Hatzigeorgiou AG
通讯作者：
Hatzigeorgiou AG
影响因子：
11.5
作者：
Hess, Julia;Unger, Kristian;Belka, Claus
通讯作者：
Belka, Claus
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
影响因子：
4.4
作者：
Edwards, Nathan J.;Oberti, Mauricio;Ketchum, Karen A.
通讯作者：
Ketchum, Karen A.