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Intertumoral Heterogeneity within Medulloblastoma Subgroups.
Cancer Cell ( IF 50.3 ) Pub Date : 2017-06-12 , DOI: 10.1016/j.ccell.2017.05.005
Florence M G Cavalli 1 , Marc Remke 2 , Ladislav Rampasek 3 , John Peacock 4 , David J H Shih 4 , Betty Luu 1 , Livia Garzia 1 , Jonathon Torchia 5 , Carolina Nor 1 , A Sorana Morrissy 1 , Sameer Agnihotri 6 , Yuan Yao Thompson 4 , Claudia M Kuzan-Fischer 1 , Hamza Farooq 4 , Keren Isaev 7 , Craig Daniels 1 , Byung-Kyu Cho 8 , Seung-Ki Kim 8 , Kyu-Chang Wang 8 , Ji Yeoun Lee 8 , Wieslawa A Grajkowska 9 , Marta Perek-Polnik 10 , Alexandre Vasiljevic 11 , Cecile Faure-Conter 12 , Anne Jouvet 13 , Caterina Giannini 14 , Amulya A Nageswara Rao 15 , Kay Ka Wai Li 16 , Ho-Keung Ng 16 , Charles G Eberhart 17 , Ian F Pollack 18 , Ronald L Hamilton 19 , G Yancey Gillespie 20 , James M Olson 21 , Sarah Leary 22 , William A Weiss 23 , Boleslaw Lach 24 , Lola B Chambless 25 , Reid C Thompson 25 , Michael K Cooper 26 , Rajeev Vibhakar 27 , Peter Hauser 28 , Marie-Lise C van Veelen 29 , Johan M Kros 30 , Pim J French 31 , Young Shin Ra 32 , Toshihiro Kumabe 33 , Enrique López-Aguilar 34 , Karel Zitterbart 35 , Jaroslav Sterba 35 , Gaetano Finocchiaro 36 , Maura Massimino 37 , Erwin G Van Meir 38 , Satoru Osuka 38 , Tomoko Shofuda 39 , Almos Klekner 40 , Massimo Zollo 41 , Jeffrey R Leonard 42 , Joshua B Rubin 43 , Nada Jabado 44 , Steffen Albrecht 45 , Jaume Mora 46 , Timothy E Van Meter 47 , Shin Jung 48 , Andrew S Moore 49 , Andrew R Hallahan 49 , Jennifer A Chan 50 , Daniela P C Tirapelli 51 , Carlos G Carlotti 51 , Maryam Fouladi 52 , José Pimentel 53 , Claudia C Faria 54 , Ali G Saad 55 , Luca Massimi 56 , Linda M Liau 57 , Helen Wheeler 58 , Hideo Nakamura 59 , Samer K Elbabaa 60 , Mario Perezpeña-Diazconti 61 , Fernando Chico Ponce de León 62 , Shenandoah Robinson 63 , Michal Zapotocky 64 , Alvaro Lassaletta 64 , Annie Huang 65 , Cynthia E Hawkins 66 , Uri Tabori 65 , Eric Bouffet 65 , Ute Bartels 64 , Peter B Dirks 67 , James T Rutka 68 , Gary D Bader 69 , Jüri Reimand 7 , Anna Goldenberg 3 , Vijay Ramaswamy 70 , Michael D Taylor 71
Affiliation  

While molecular subgrouping has revolutionized medulloblastoma classification, the extent of heterogeneity within subgroups is unknown. Similarity network fusion (SNF) applied to genome-wide DNA methylation and gene expression data across 763 primary samples identifies very homogeneous clusters of patients, supporting the presence of medulloblastoma subtypes. After integration of somatic copy-number alterations, and clinical features specific to each cluster, we identify 12 different subtypes of medulloblastoma. Integrative analysis using SNF further delineates group 3 from group 4 medulloblastoma, which is not as readily apparent through analyses of individual data types. Two clear subtypes of infants with Sonic Hedgehog medulloblastoma with disparate outcomes and biology are identified. Medulloblastoma subtypes identified through integrative clustering have important implications for stratification of future clinical trials.

中文翻译:

髓母细胞瘤亚组内的肿瘤间异质性。

虽然分子亚组彻底改变了髓母细胞瘤的分类,但亚组内的异质性程度尚不清楚。相似性网络融合 (SNF) 应用于 763 个主要样本的全基因组 DNA 甲基化和基因表达数据,识别出非常同质的患者群,支持髓母细胞瘤亚型的存在。在整合体细胞拷贝数改变和每个簇特有的临床特征后,我们鉴定出了 12 种不同的髓母细胞瘤亚型。使用 SNF 的综合分析进一步区分了第 3 组和第 4 组髓母细胞瘤,这通过对各个数据类型的分析并不那么容易明显。确定了两种明显的 Sonic Hedgehog 髓母细胞瘤婴儿亚型,具有不同的结果和生物学特性。通过整合聚类识别的髓母细胞瘤亚型对未来临床试验的分层具有重要意义。
更新日期:2017-06-13
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