Widespread hypertranscription in aggressive human cancers

被引:10
|
作者
Zatzman, Matthew [1 ,2 ]
Fuligni, Fabio [2 ]
Ripsman, Ryan [2 ]
Suwal, Tannu [1 ,3 ]
Comitani, Federico [2 ]
Edward, Lisa-Monique [2 ]
Denroche, Rob
Jang, Gun Ho [4 ]
Notta, Faiyaz [4 ]
Gallinger, Steven [4 ,5 ,6 ,7 ]
Selvanathan, Saravana P. [8 ,9 ]
Toretsky, Jeffrey A. [8 ,9 ]
Hellmann, Matthew D. [10 ,11 ]
Tabori, Uri [2 ,3 ,12 ]
Huang, Annie [1 ,3 ,13 ]
Shlien, Adam [1 ,2 ,14 ]
机构
[1] Univ Toronto, Dept Lab Med & Pathobiol, Toronto, ON, Canada
[2] Hosp Sick Children, Program Genet & Genome Biol, Toronto, ON, Canada
[3] Hosp Sick Children, Arthur & Sonia Labatt Brain Tumour Res Ctr, Toronto, ON, Canada
[4] Ontario Inst Canc Res, PanCuRx Translat Res Initiat, Toronto, ON, Canada
[5] Univ Toronto, Univ Hlth Network, Dept Med Oncol, Wallace McCain Ctr Pancreat Canc,Princess Margare, Toronto, ON, Canada
[6] Mt Sinai Hosp, Lunenfeld Tanenbaum Res Inst, Toronto, ON, Canada
[7] Univ Hlth Network, Hepatobiliary Pancreat Surg Oncol Program, Toronto, ON, Canada
[8] Georgetown Univ, Dept Oncol, Washington, DC 20057 USA
[9] Georgetown Univ, Dept Pediat, Washington, DC 20057 USA
[10] Mem Sloan Kettering Canc Ctr, Dept Med, New York, NY 10065 USA
[11] Weill Cornell Med Coll, Med, New York, NY USA
[12] Univ Toronto, Inst Med Sci, Fac Med, Toronto, ON, Canada
[13] Hosp Sick Children, Div Hematol Oncol, Toronto, ON, Canada
[14] Hosp Sick Children, Dept Paediat Lab Med, Toronto, ON, Canada
基金
加拿大健康研究院;
关键词
GENE-EXPRESSION SIGNATURE; TUMOR MUTATIONAL BURDEN; EMBRYONIC STEM; MYC; INHIBITION; DATABASE; BLOCKADE; FEATURES; NETWORK; PACKAGE;
D O I
10.1126/sciadv.abn0238
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cancers are often defined by the dysregulation of specific transcriptional programs; however, the importance of global transcriptional changes is less understood. Hypertranscription is the genome-wide increase in RNA output. Hypertranscription's prevalence, underlying drivers, and prognostic significance are undefined in primary human cancer. This is due, in part, to limitations of expression profiling methods, which assume equal RNA output between samples. Here, we developed a computational method to directly measure hypertranscription in 7494 human tumors, spanning 31 cancer types. Hypertranscription is ubiquitous across cancer, especially in aggressive disease. It defines patient subgroups with worse survival, even within well-established subtypes. Our data suggest that loss of transcriptional suppression underpins the hypertranscriptional phenotype. Single-cell analysis reveals hypertranscriptional clones, which dominate transcript production regardless of their size. Last, patients with hypertranscribed mutations have improved response to immune checkpoint therapy. Our results provide fundamental insights into gene dysregulation across human cancers and may prove useful in identifying patients who would benefit from novel therapies.
引用
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页数:18
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