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对大量不同类型儿童癌症进行基因组分析,发现了肿瘤谱中的已知和新突变。

Genomic Profiling of a Large Set of Diverse Pediatric Cancers Identifies Known and Novel Mutations across Tumor Spectra.

作者信息

Chmielecki Juliann, Bailey Mark, He Jie, Elvin Julia, Vergilio Jo-Anne, Ramkissoon Shakti, Suh James, Frampton Garrett M, Sun James X, Morley Samantha, Spritz Daniel, Ali Siraj, Gay Laurie, Erlich Rachel L, Ross Jeffrey S, Buxhaku Joana, Davies Hilary, Faso Vinny, Germain Alexis, Glanville Blair, Miller Vincent A, Stephens Philip J, Janeway Katherine A, Maris John M, Meshinchi Soheil, Pugh Trevor J, Shern Jack F, Lipson Doron

机构信息

Foundation Medicine, Cambridge, Massachusetts.

Albany Medical College, Albany, New York.

出版信息

Cancer Res. 2017 Jan 15;77(2):509-519. doi: 10.1158/0008-5472.CAN-16-1106. Epub 2017 Jan 9.

Abstract

Pediatric cancers are generally characterized by low mutational burden and few recurrently mutated genes. Recent studies suggest that genomic alterations may help guide treatment decisions and clinical trial selection. Here, we describe genomic profiles from 1,215 pediatric tumors representing sarcomas, extracranial embryonal tumors, brain tumors, hematologic malignancies, carcinomas, and gonadal tumors. Comparable published datasets identified similar frequencies of clinically relevant alterations, validating this dataset as biologically relevant. We identified novel ALK fusions in a neuroblastoma (BEND5-ALK) and an astrocytoma (PPP1CB-ALK), novel BRAF fusions in an astrocytoma (BCAS1-BRAF) and a ganglioglioma (TMEM106B-BRAF), and a novel PAX3-GLI2 fusion in a rhabdomyosarcoma. Previously characterized ALK, NTRK1, and PAX3 fusions were observed in unexpected malignancies, challenging the "disease-specific" alterations paradigm. Finally, we identified recurrent variants of unknown significance in MLL3 and PRSS1 predicted to have functional impact. Data from these 1,215 tumors are publicly available for discovery and validation. Cancer Res; 77(2); 509-19. ©2017 AACR.

摘要

儿科癌症通常具有低突变负荷和少量反复突变基因的特征。最近的研究表明,基因组改变可能有助于指导治疗决策和临床试验选择。在此,我们描述了来自1215例儿科肿瘤的基因组概况,这些肿瘤包括肉瘤、颅外胚胎性肿瘤、脑肿瘤、血液系统恶性肿瘤、癌和性腺肿瘤。已发表的可比数据集确定了临床相关改变的相似频率,证实了该数据集具有生物学相关性。我们在1例神经母细胞瘤(BEND5-ALK)和1例星形细胞瘤(PPP1CB-ALK)中发现了新的ALK融合,在1例星形细胞瘤(BCAS1-BRAF)和1例神经节胶质瘤(TMEM106B-BRAF)中发现了新的BRAF融合,在1例横纹肌肉瘤中发现了新的PAX3-GLI2融合。在意外的恶性肿瘤中观察到了先前已确定特征的ALK、NTRK1和PAX3融合,这对“疾病特异性”改变范式提出了挑战。最后,我们在MLL3和PRSS1中发现了具有未知意义的反复变异,预计这些变异具有功能影响。来自这1215例肿瘤的数据已公开,可供发现和验证。《癌症研究》;77(2);509 - 19。©2017美国癌症研究协会。

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