| Literature DB >> 30735634 |
Sujun Chen1, Vincent Huang2, Xin Xu3, Julie Livingstone2, Fraser Soares3, Jouhyun Jeon2, Yong Zeng3, Junjie Tony Hua4, Jessica Petricca4, Haiyang Guo3, Miranda Wang3, Fouad Yousif2, Yuzhe Zhang5, Nilgun Donmez6, Musaddeque Ahmed3, Stas Volik6, Anna Lapuk6, Melvin L K Chua2, Lawrence E Heisler2, Adrien Foucal2, Natalie S Fox7, Michael Fraser8, Vinayak Bhandari7, Yu-Jia Shiah2, Jiansheng Guan9, Jixi Li10, Michèle Orain11, Valérie Picard11, Hélène Hovington11, Alain Bergeron11, Louis Lacombe11, Yves Fradet11, Bernard Têtu12, Stanley Liu13, Felix Feng14, Xue Wu15, Yang W Shao16, Malgorzata A Komor17, Cenk Sahinalp6, Colin Collins18, Youri Hoogstrate19, Mark de Jong20, Remond J A Fijneman21, Teng Fei22, Guido Jenster19, Theodorus van der Kwast23, Robert G Bristow24, Paul C Boutros25, Housheng Hansen He26.
Abstract
The cancer transcriptome is remarkably complex, including low-abundance transcripts, many not polyadenylated. To fully characterize the transcriptome of localized prostate cancer, we performed ultra-deep total RNA-seq on 144 tumors with rich clinical annotation. This revealed a linear transcriptomic subtype associated with the aggressive intraductal carcinoma sub-histology and a fusion profile that differentiates localized from metastatic disease. Analysis of back-splicing events showed widespread RNA circularization, with the average tumor expressing 7,232 circular RNAs (circRNAs). The degree of circRNA production was correlated to disease progression in multiple patient cohorts. Loss-of-function screening identified 11.3% of highly abundant circRNAs as essential for cell proliferation; for ∼90% of these, their parental linear transcripts were not essential. Individual circRNAs can have distinct functions, with circCSNK1G3 promoting cell growth by interacting with miR-181. These data advocate for adoption of ultra-deep RNA-seq without poly-A selection to interrogate both linear and circular transcriptomes.Entities:
Keywords: RNA-seq; biomarker; circular RNA; non-coding RNA; prostate cancer; transcriptome
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Year: 2019 PMID: 30735634 DOI: 10.1016/j.cell.2019.01.025
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582