Integrating 13 Microarrays to Construct a 6 RNA-binding proteins Prognostic Signature for Gastric Cancer patients.
Integrating 13 Microarrays to Construct a 6 RNA-binding proteins Prognostic Signature for Gastric Cancer patients.
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整合 13 个微阵列构建 6 个 RNA 结合蛋白胃癌患者的预后特征
DOI：
10.7150/jca.57225
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发表时间：
2021
影响因子：
3.9
通讯作者：
Xin L
中科院分区：
文献类型：
--
作者：
Zhou L;Zhou Q;Wu Y;Xin L
背景：在许多肿瘤中已证实RNA结合蛋白（RBPs）会影响癌症进展，但在胃癌（GC）中仍缺乏大规模研究。
方法：我们获取了13个GPL570平台的微阵列mRNA表达谱，整合后从中提取表达以分析RBPs的表达差异。富集分析研究这些RBPs在胃癌中的作用。单变量、套索（Lasso）和多变量Cox回归分析用于确定独立的预后关键RBPs，从而构建并验证一个预后特征。外部数据和实时定量聚合酶链反应（rt - PCR）验证了关键RBPs的表达。
结果：我们在胃癌中鉴定出51种失调的RBPs。富集分析表明，它主要可参与RNA分解、修饰、加工等过程并影响胃癌进展。经过多种统计分析，确定了6种胃癌的独立预后RBPs，并开发了一种预后特征。根据中位风险值，将训练队列分为高风险组和低风险组。考虑临床特征，在训练、测试和完整队列中，高风险组的总生存率显著低于低风险组，这通过时间依赖性受试者工作特征曲线得到证实。对风险评分的独立预后能力进行单变量和多变量Cox回归分析。此外，我们基于预后特征构建并验证了一个列线图，显示出准确的预测性能。实时定量聚合酶链反应和外部数据验证与我们的结论一致。
结论：本研究分析了RBPs在胃癌中的整体表达并探索其机制。开发并验证了一种新的预后特征。还建立并验证了一个列线图，这有助于改善胃癌的治疗策略。
Background: It has been confirmed in many tumors that RNA-binding proteins (RBPs) will affect the progress of cancer, but there is still a lack of large-scale research in gastric cancer (GC). Methods: We obtained 13 microarray mRNA expression profiles of the GPL570 platform, and extracted expression from them after integration to analyze the expression differences of RBPs. Enrichment analysis studies the role of these RBPs in GC. Univariate, Lasso and multivariate Cox regression analysis are used to identify independent prognostic hub RBPs, thereby constructing and verifying a prognostic signature. External data and rt-PCR verified the expression of hub RBPs. Results: We have identified 51 dysregulated RBPs in GC. Enrichment analysis shows that it can mainly participate in RNA decomposition, modification, processing, etc. and affect the progress of GC. After multiple statistical analysis, six independent prognostic RBPs of GC were determined and a prognostic signature was developed. According to the median risk value, the training cohort was divided into high-risk and low-risk groups. Considering the clinical characteristics, in training, testing, and complete cohorts, the overall survival rate of the high-risk group was significantly lower than that of the low-risk group, which was confirmed by the time-dependent receiver operating characteristic curve. Univariate and multivariate Cox regression analysis of independent prognostic ability of risk score. In addition, we constructed and verified a nomogram based on the prognostic signature, showing accurate prediction performance. rt-PCR and external data verification are consistent with our conclusions. Conclusion: This study analyzed the overall expression of RPBs in GC and explored its mechanism. A new prognostic signature was developed and verified. A nomogram has also been established and verified, which helps to improve the treatment strategy for GC.
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DOI：
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发表时间：
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期刊：
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