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转录组和基因组图谱的断点分析揭示了跨越多种人类癌症类型的新型基因融合。

Breakpoint analysis of transcriptional and genomic profiles uncovers novel gene fusions spanning multiple human cancer types.

作者信息

Giacomini Craig P, Sun Steven, Varma Sushama, Shain A Hunter, Giacomini Marilyn M, Balagtas Jay, Sweeney Robert T, Lai Everett, Del Vecchio Catherine A, Forster Andrew D, Clarke Nicole, Montgomery Kelli D, Zhu Shirley, Wong Albert J, van de Rijn Matt, West Robert B, Pollack Jonathan R

机构信息

Department of Pathology, Stanford University School of Medicine, Stanford, California, United States of America.

出版信息

PLoS Genet. 2013 Apr;9(4):e1003464. doi: 10.1371/journal.pgen.1003464. Epub 2013 Apr 25.

Abstract

Gene fusions, like BCR/ABL1 in chronic myelogenous leukemia, have long been recognized in hematologic and mesenchymal malignancies. The recent finding of gene fusions in prostate and lung cancers has motivated the search for pathogenic gene fusions in other malignancies. Here, we developed a "breakpoint analysis" pipeline to discover candidate gene fusions by tell-tale transcript level or genomic DNA copy number transitions occurring within genes. Mining data from 974 diverse cancer samples, we identified 198 candidate fusions involving annotated cancer genes. From these, we validated and further characterized novel gene fusions involving ROS1 tyrosine kinase in angiosarcoma (CEP85L/ROS1), SLC1A2 glutamate transporter in colon cancer (APIP/SLC1A2), RAF1 kinase in pancreatic cancer (ATG7/RAF1) and anaplastic astrocytoma (BCL6/RAF1), EWSR1 in melanoma (EWSR1/CREM), CDK6 kinase in T-cell acute lymphoblastic leukemia (FAM133B/CDK6), and CLTC in breast cancer (CLTC/VMP1). Notably, while these fusions involved known cancer genes, all occurred with novel fusion partners and in previously unreported cancer types. Moreover, several constituted druggable targets (including kinases), with therapeutic implications for their respective malignancies. Lastly, breakpoint analysis identified new cell line models for known rearrangements, including EGFRvIII and FIP1L1/PDGFRA. Taken together, we provide a robust approach for gene fusion discovery, and our results highlight a more widespread role of fusion genes in cancer pathogenesis.

摘要

基因融合,如慢性粒细胞白血病中的BCR/ABL1,长期以来在血液系统和间充质恶性肿瘤中已被认识到。最近在前列腺癌和肺癌中发现基因融合促使人们在其他恶性肿瘤中寻找致病基因融合。在此,我们开发了一种“断点分析”流程,通过基因内出现的特征性转录水平或基因组DNA拷贝数转变来发现候选基因融合。挖掘来自974个不同癌症样本的数据,我们鉴定出198个涉及已注释癌症基因的候选融合。从中,我们验证并进一步表征了血管肉瘤中涉及ROS1酪氨酸激酶的新型基因融合(CEP85L/ROS1)、结肠癌中涉及SLC1A2谷氨酸转运体的新型基因融合(APIP/SLC1A2)、胰腺癌和间变性星形细胞瘤中涉及RAF1激酶的新型基因融合(ATG7/RAF1和BCL6/RAF1)、黑色素瘤中涉及EWSR1的新型基因融合(EWSR1/CREM)、T细胞急性淋巴细胞白血病中涉及CDK6激酶的新型基因融合(FAM133B/CDK6)以及乳腺癌中涉及CLTC的新型基因融合(CLTC/VMP1)。值得注意的是,虽然这些融合涉及已知的癌症基因,但均与新型融合伙伴发生,且出现在先前未报道的癌症类型中。此外,其中一些构成了可成药靶点(包括激酶),对其各自的恶性肿瘤具有治疗意义。最后,断点分析确定了已知重排的新细胞系模型,包括EGFRvIII和FIP1L1/PDGFRA。综上所述,我们提供了一种强大的基因融合发现方法,我们的结果突出了融合基因在癌症发病机制中更广泛的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e425/3636093/68a99cfe701c/pgen.1003464.g001.jpg

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