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The Construction of Bone Metastasis-Specific Prognostic Model and Co-expressed Network of Alternative Splicing in Breast Cancer

机译:乳腺癌骨转移特异性预后模型的构建与乳腺癌替代剪接的联合网络

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Background: Breast cancer (BRCA) ranks among the top most common female malignancies and was regarded as incurable when combined with bone and distant metastasis. Alternative splicing events (ASEs) together with splicing factors (SFs) were considered responsible for the development and progression of tumors. Methods: Datasets including RNA sequencing and ASEs of BRCA samples were achieved from TCGA and TCGASpliceSeq databases. Then, a survival model was built including 15 overall-survival-associated splicing events (OS-SEs) by Cox regression and Lasso regression. The co-expressed SFs of each bone-and-distant-metastasis-related OS-SE were discovered by Pearson correlation analysis. Additionaly, Gene Set Variation Analysis (GSVA) was performed to identify the downstream mechanisms of the key OS-SEs. Finally, the results were validated in different online platforms. Results: A reliable survival model was established (the area under ROC = 0.856) and CIRBP was found co-expressed with FAM110B ( R = 0.320 , P 0.001 ) associated with the fatty acid metabolism pathway. Conclusions: Aberrant SF, CIRBP, regulated a specific ASE, exon skip (ES) of FAM110B, during which the fatty acid metabolism pathway played an essential part in tumorigenesis and prognosis of BRCA.
机译:背景:乳腺癌(BRCA)排名在最常见的女性恶性肿瘤之中,并且当与骨骼和远处转移结合时被视为可行的。替代剪接事件(ASES)与剪接因子(SFS)一起被认为是肿瘤的开发和进展负责。方法:从TCGA和TCGASPLICESQ数据库中达到包括RNA测序和BRCA样品的数据集。然后,通过COX回归和套索回归包括生存模型,包括15个整体生存相关的剪接事件(OS-SES)。通过Pearson相关分析发现了每个骨和远离转移相关OS-SE的共表达的SF。辅助基因设置变异分析(GSVA)进行了识别关键OS-SES的下游机制。最后,结果在不同的在线平台中验证。结果:建立了可靠的存活模型(ROC = 0.856下的区域),发现与脂肪酸代谢途径相关的FAM110B(r = 0.320,p <0.001)共表达CIRBP。结论:异常SF,CIRBP,受调节的FAM110B的特定ASE,外显子跳跃(ES),在此期间脂肪酸代谢途径在BRCA的肿瘤发生和预后起到了重要组成部分。

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