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Systematic annotation of orphan RNAs reveals blood-accessible molecular barcodes of cancer identity and cancer-emergent oncogenic drivers.
Wang, Jeffrey; Suh, Jung Min; Woo, Brian J; Navickas, Albertas; Garcia, Kristle; Yin, Keyi; Fish, Lisa; Cavazos, Taylor; Hänisch, Benjamin; Markett, Daniel; Yu, Shaorong; Hirst, Gillian; Brown-Swigart, Lamorna; Esserman, Laura J; van 't Veer, Laura J; Goodarzi, Hani.
Afiliação
  • Wang J; Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA.
  • Suh JM; Department of Urology, University of California, San Francisco, San Francisco, California, USA.
  • Woo BJ; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA.
  • Navickas A; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Garcia K; Present address: School of Medicine, University of California, Davis, CA, US.
  • Yin K; Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA.
  • Fish L; Department of Urology, University of California, San Francisco, San Francisco, California, USA.
  • Cavazos T; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA.
  • Hänisch B; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Markett D; Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA.
  • Yu S; Department of Urology, University of California, San Francisco, San Francisco, California, USA.
  • Hirst G; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA.
  • Brown-Swigart L; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Esserman LJ; Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA.
  • van 't Veer LJ; Department of Urology, University of California, San Francisco, San Francisco, California, USA.
  • Goodarzi H; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA.
bioRxiv ; 2024 Mar 21.
Article em En | MEDLINE | ID: mdl-38562907
ABSTRACT
From extrachromosomal DNA to neo-peptides, the broad reprogramming of the cancer genome leads to the emergence of molecules that are specific to the cancer state. We recently described orphan non-coding RNAs (oncRNAs) as a class of cancer-specific small RNAs with the potential to play functional roles in breast cancer progression1. Here, we report a systematic and comprehensive search to identify, annotate, and characterize cancer-emergent oncRNAs across 32 tumor types. We also leverage large-scale in vivo genetic screens in xenografted mice to functionally identify driver oncRNAs in multiple tumor types. We have not only discovered a large repertoire of oncRNAs, but also found that their presence and absence represent a digital molecular barcode that faithfully captures the types and subtypes of cancer. Importantly, we discovered that this molecular barcode is partially accessible from the cell-free space as some oncRNAs are secreted by cancer cells. In a large retrospective study across 192 breast cancer patients, we showed that oncRNAs can be reliably detected in the blood and that changes in the cell-free oncRNA burden captures both short-term and long-term clinical outcomes upon completion of a neoadjuvant chemotherapy regimen. Together, our findings establish oncRNAs as an emergent class of cancer-specific non-coding RNAs with potential roles in tumor progression and clinical utility in liquid biopsies and disease monitoring.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos