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对 8705 例肿瘤患者的可变剪接进行全面分析。

Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients.

机构信息

ETH Zurich, Department of Computer Science, Zurich, Switzerland; Memorial Sloan Kettering Cancer Center, Computational Biology Department, New York, USA; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland.

ETH Zurich, NEXUS Personalized Health Technologies, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland.

出版信息

Cancer Cell. 2018 Aug 13;34(2):211-224.e6. doi: 10.1016/j.ccell.2018.07.001. Epub 2018 Aug 2.

Abstract

Our comprehensive analysis of alternative splicing across 32 The Cancer Genome Atlas cancer types from 8,705 patients detects alternative splicing events and tumor variants by reanalyzing RNA and whole-exome sequencing data. Tumors have up to 30% more alternative splicing events than normal samples. Association analysis of somatic variants with alternative splicing events confirmed known trans associations with variants in SF3B1 and U2AF1 and identified additional trans-acting variants (e.g., TADA1, PPP2R1A). Many tumors have thousands of alternative splicing events not detectable in normal samples; on average, we identified ≈930 exon-exon junctions ("neojunctions") in tumors not typically found in GTEx normals. From Clinical Proteomic Tumor Analysis Consortium data available for breast and ovarian tumor samples, we confirmed ≈1.7 neojunction- and ≈0.6 single nucleotide variant-derived peptides per tumor sample that are also predicted major histocompatibility complex-I binders ("putative neoantigens").

摘要

我们综合分析了来自 8705 名患者的 32 种癌症基因组图谱癌症类型的替代剪接,通过重新分析 RNA 和全外显子测序数据来检测替代剪接事件和肿瘤变体。肿瘤中的替代剪接事件比正常样本多 30%。体细胞变异与替代剪接事件的关联分析证实了已知的与 SF3B1 和 U2AF1 变异的反式关联,并确定了其他反式作用变异(如 TADA1、PPP2R1A)。许多肿瘤有数千个在正常样本中无法检测到的替代剪接事件;平均而言,我们在肿瘤中鉴定出了约 930 个外显子-外显子接头(“新接头”),这些接头通常在 GTEx 正常样本中不存在。根据可用于乳腺癌和卵巢癌样本的临床蛋白质组肿瘤分析联盟数据,我们在每个肿瘤样本中确认了约 1.7 个新接头和约 0.6 个单核苷酸变异衍生的肽,这些肽也被预测为主要组织相容性复合体 I 结合物(“潜在的新抗原”)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41e7/9844097/488698494d31/nihms-1859548-f0001.jpg

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