重新评估融合基因在前列腺癌中的作用

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Cancer Informatics Pub Date : 2021-06-21 eCollection Date: 2021-01-01 DOI:10.1177/11769351211027592
Ting Wei, Ji Lu, Tao Ma, Haojie Huang, Jean-Pierre Kocher, Liguo Wang
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引用次数: 5

摘要

背景:在前列腺癌中已经报道了成千上万的基因融合,但它们的真实性、发病率和肿瘤特异性尚未得到彻底的评估,也没有仔细探索它们的基因组特征。方法:我们开发了FusionVet,专门使用RNA-seq比对来验证已知的融合基因。使用FusionVet,我们使用癌症基因组图谱(TCGA)生成的RNA-seq数据重新评估了来自36项研究的2727个基因融合。我们还探索了它们的基因组特征,并询问了E26转化特异性(ETS)融合的转录组学和DNA甲基化结果。结果:我们发现近三分之二的报道融合是染色体内的,80%的融合是在2个蛋白质编码基因之间形成的。虽然大多数(76%)基因只与一个伴侣融合,但我们观察到许多融合中心基因具有多个融合伴侣,包括ETS家族基因、雄激素受体信号通路基因、肿瘤抑制基因和原癌基因。超过90%的报道的融合不能通过TCGA RNA-seq数据验证。对于那些可以被验证的融合,5%从肿瘤和正常样本中检测到相似的频率,只有4%(120个融合)是肿瘤特异性的。ERG、ETV1和ETV4融合的发生是相互排斥的,它们的融合状态与过表达密切相关。此外,我们发现ERG融合与PTEN缺失显著共存,但与常见的基因组改变(如SPOP突变和FOXA1突变)相互排斥。结论:大多数报道的融合基因无法通过TCGA样本进行验证。ETS家族和雄激素反应基因在前列腺癌特异性融合基因中显著富集。在携带ERG融合的样品中,转录活性被显著抑制,DNA甲基化显著增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Re-Evaluate Fusion Genes in Prostate Cancer.

Re-Evaluate Fusion Genes in Prostate Cancer.

Re-Evaluate Fusion Genes in Prostate Cancer.

Re-Evaluate Fusion Genes in Prostate Cancer.

Background: Thousands of gene fusions have been reported in prostate cancer, but their authenticity, incidence, and tumor specificity have not been thoroughly evaluated, nor have their genomic characteristics been carefully explored.

Methods: We developed FusionVet to dedicatedly validate known fusion genes using RNA-seq alignments. Using FusionVet, we re-assessed 2727 gene fusions reported from 36 studies using the RNA-seq data generated by The Cancer Genome Atlas (TCGA). We also explored their genomic characteristics and interrogated the transcriptomic and DNA methylomic consequences of the E26 transformation-specific (ETS) fusions.

Results: We found that nearly two-thirds of reported fusions are intra-chromosomal, and 80% of them were formed between 2 protein-coding genes. Although most (76%) genes were fused to only 1 partner, we observed many fusion hub genes that have multiple fusion partners, including ETS family genes, androgen receptor signaling pathway genes, tumor suppressor genes, and proto-oncogenes. More than 90% of the reported fusions cannot be validated by TCGA RNA-seq data. For those fusions that can be validated, 5% were detected from tumor and normal samples with similar frequencies, and only 4% (120 fusions) were tumor-specific. The occurrences of ERG, ETV1, and ETV4 fusions were mutually exclusive, and their fusion statuses were tightly associated with overexpressions. Besides, we found ERG fusions were significantly co-occurred with PTEN deletion but mutually exclusive with common genomic alterations such as SPOP mutation and FOXA1 mutation.

Conclusions: Most of the reported fusion genes cannot be validated by TCGA samples. The ETS family and androgen response genes were significantly enriched in prostate cancer-specific fusion genes. Transcription activity was significantly repressed, and the DNA methylation was significantly increased in samples carrying ERG fusion.

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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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