A group of long noncoding RNAs identified by data mining can predict the prognosis of lung adenocarcinoma.
A group of long noncoding RNAs identified by data mining can predict the prognosis of lung adenocarcinoma.
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通过数据挖掘鉴定的一组长非编码RNA可以预测肺腺癌的预后
DOI：
10.1111/cas.13822
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发表时间：
2018-12
期刊：
影响因子：
5.7
通讯作者：
Zhang Y
中科院分区：
文献类型：
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作者：
Liao M;Liu Q;Li B;Liao W;Xie W;Zhang Y
据报道，长链非编码RNA（lncRNA）是潜在的癌症生物标志物。本研究旨在寻找新的与肺腺癌相关的lncRNA生物标志物。从UCSC Xena数据库下载肺腺癌和肺鳞状细胞癌患者的基因表达谱和临床数据。分析这些数据以鉴定潜在的lncRNA预后生物标志物，并使用关联分析、Meta分析、生存分析、基因本体分析、基因集富集分析和其他统计方法对候选lncRNA进行分析和验证。从1965个差异表达（倍数变化>2）基因中鉴定出一组5种lncRNA。其中4种lncRNA在肺腺癌组织中表达较低，另1种表达较高（P <0.0001）。使用这些lncRNA的表达水平的线性组合构建风险评分模型。高风险患者的总生存率较差（风险比[HR] = 2.14; 95%置信区间[CI]，1.67 - 3.06，P < .0001），无病生存期（HR = 1.84; 95% CI，1.26 - 2.35，P = .0007）和无复发生存期（HR = 1.51; 95% CI，1.02 - 2.40，P = .04）。5重交叉验证和随后的Meta分析进一步证实，低风险组患者的生存率更高（95% CI，0.74 - 1.79，Z = 4.72，P < .00001）。单因素和多因素考克斯回归分析均显示这5种lncRNA的预后价值与其他临床预后因素无关。进一步分析表明，这5种lncRNA可能与肿瘤转移有关。总之，我们的研究提示了肺腺癌新的预后lncRNA生物标志物。
Long noncoding RNAs (lncRNA) are reported to be potential cancer biomarkers. This study aims to find new lncRNA biomarker relevant to lung adenocarcinoma. Gene expression profile and clinical data of lung adenocarcinoma and lung squamous cell carcinoma patients were downloaded from the UCSC Xena database. These data were analyzed to identify potential lncRNA prognostic biomarkers, and the candidate lncRNAs were analyzed and verified with association analysis, meta‐analysis, survival analysis, gene ontology analysis, gene set enrichment analysis, and other statistical methods. A group of 5 lncRNAs was identified from the 1965 differentially expressed (fold‐change >2) genes. Four of these 5 lncRNAs were expressed at a lower level in lung adenocarcinoma tissues and the other one at a higher level (P < .0001). A risk score model was constructed using a linear combination of the expression levels of these lncRNAs. High‐risk patients showed poorer overall survival (hazard ratio [HR] = 2.14; 95% confidence interval [CI], 1.67‐3.06, P < .0001), disease‐free survival (HR = 1.84; 95% CI, 1.26‐2.35, P = .0007), and recurrence‐free survival (HR = 1.51; 95% CI, 1.02‐2.40, P = .04). The 5‐fold cross‐validation and subsequent meta‐analysis further verified that patients in the low‐risk group had better survival (95% CI, 0.74‐1.79, Z = 4.72, P < .00001). Furthermore, both univariate and multivariate Cox regression analyses revealed that the prognostic value of these 5 lncRNAs was independent of other clinical prognostic factors. Further analysis indicated that these 5 lncRNAs might be associated with tumor metastasis. Taken together, our study suggests new prognostic lncRNA biomarkers for lung adenocarcinoma.
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影响因子：
5.7
作者：
Saito M;Shiraishi K;Kunitoh H;Takenoshita S;Yokota J;Kohno T
通讯作者：
Kohno T
影响因子：
56.9
作者：
Carninci, P;Kasukawa, T;Hayashizaki, Y
通讯作者：
Hayashizaki, Y
影响因子：
3.7
作者：
Cai H;Kumar N;Baudis M
通讯作者：
Baudis M
实现癌症基因组数据的共同愿景。
DOI：
10.1056/nejmp1607591
发表时间：
2016-09-22
期刊：
The New England journal of medicine
影响因子：
--
作者：
Grossman RL;Heath AP;Ferretti V;Varmus HE;Lowy DR;Kibbe WA;Staudt LM
通讯作者：
Staudt LM
影响因子：
4.6
作者：
Cagle, Philip T.;Allen, Timothy C.;Kerr, Keith M.
通讯作者：
Kerr, Keith M.