| Literature DB >> 30487223 |
Jian-Feng Li1, Yu-Ting Dai1, Henrik Lilljebjörn2, Shu-Hong Shen3, Bo-Wen Cui1, Ling Bai1, Yuan-Fang Liu1, Mao-Xiang Qian4, Yasuo Kubota5, Hitoshi Kiyoi6, Itaru Matsumura7, Yasushi Miyazaki8, Linda Olsson2, Ah Moy Tan9, Hany Ariffin10, Jing Chen3, Junko Takita11, Takahiko Yasuda12, Hiroyuki Mano13, Bertil Johansson2,14, Jun J Yang4,15, Allen Eng-Juh Yeoh16, Fumihiko Hayakawa17, Zhu Chen18,19,20, Ching-Hon Pui21, Thoas Fioretos22,14, Sai-Juan Chen18,19,20, Jin-Yan Huang18,20.
Abstract
Most B cell precursor acute lymphoblastic leukemia (BCP ALL) can be classified into known major genetic subtypes, while a substantial proportion of BCP ALL remains poorly characterized in relation to its underlying genomic abnormalities. We therefore initiated a large-scale international study to reanalyze and delineate the transcriptome landscape of 1,223 BCP ALL cases using RNA sequencing. Fourteen BCP ALL gene expression subgroups (G1 to G14) were identified. Apart from extending eight previously described subgroups (G1 to G8 associated with MEF2D fusions, TCF3-PBX1 fusions, ETV6-RUNX1-positive/ETV6-RUNX1-like, DUX4 fusions, ZNF384 fusions, BCR-ABL1/Ph-like, high hyperdiploidy, and KMT2A fusions), we defined six additional gene expression subgroups: G9 was associated with both PAX5 and CRLF2 fusions; G10 and G11 with mutations in PAX5 (p.P80R) and IKZF1 (p.N159Y), respectively; G12 with IGH-CEBPE fusion and mutations in ZEB2 (p.H1038R); and G13 and G14 with TCF3/4-HLF and NUTM1 fusions, respectively. In pediatric BCP ALL, subgroups G2 to G5 and G7 (51 to 65/67 chromosomes) were associated with low-risk, G7 (with ≤50 chromosomes) and G9 were intermediate-risk, whereas G1, G6, and G8 were defined as high-risk subgroups. In adult BCP ALL, G1, G2, G6, and G8 were associated with high risk, while G4, G5, and G7 had relatively favorable outcomes. This large-scale transcriptome sequence analysis of BCP ALL revealed distinct molecular subgroups that reflect discrete pathways of BCP ALL, informing disease classification and prognostic stratification. The combined results strongly advocate that RNA sequencing be introduced into the clinical diagnostic workup of BCP ALL.Entities:
Keywords: BCP ALL; RNA-seq; gene fusion; gene mutation; subtypes
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Year: 2018 PMID: 30487223 PMCID: PMC6294900 DOI: 10.1073/pnas.1814397115
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205