4.8 Article

Widespread hypertranscription in aggressive human cancers

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SCIENCE ADVANCES
卷 8, 期 47, 页码 -

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AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abn0238

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资金

  1. SickKids Restracomp award
  2. Canadian Institutes of Health Research Canada Graduate Scholarship
  3. Early Researcher Award from the Ontario Ministry of Research and Innovation
  4. Canada Research Chair in Childhood Cancer Genomics
  5. V Foundation
  6. Robert J. Arceci Innovation Award from the St. Baldrick's Foundation
  7. NIH [R01CA233619-01A1]
  8. Canadian Institutes for Health Research (CIHR) [178414]

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Hypertranscription is prevalent in various cancers and defines subgroups with worse prognosis. Dysregulation of transcriptional suppression underlies the hypertranscriptional phenotype. Patients with hypertranscribed mutations show improved response to immune checkpoint therapy.
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.

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