Systematic characterization of cancer transcriptome at transcript resolution

Nat Commun. 2022 Nov 10;13(1):6803. doi: 10.1038/s41467-022-34568-z.

Abstract

Transcribed RNAs undergo various regulation and modification to become functional transcripts. Notably, cancer transcriptome has not been fully characterized at transcript resolution. Herein, we carry out a reference-based transcript assembly across >1000 cancer cell lines. We identify 498,255 transcripts, approximately half of which are unannotated. Unannotated transcripts are closely associated with cancer-related hallmarks and show clinical significance. We build a high-confidence RNA binding protein (RBP)-transcript regulatory network, wherein most RBPs tend to regulate transcripts involved in cell proliferation. We identify numerous transcripts that are highly associated with anti-cancer drug sensitivity. Furthermore, we establish RBP-transcript-drug axes, wherein PTBP1 is experimentally validated to affect the sensitivity to decitabine by regulating KIAA1522-a6 transcript. Finally, we establish a user-friendly data portal to serve as a valuable resource for understanding cancer transcriptome diversity and its potential clinical utility at transcript level. Our study substantially extends cancer RNA repository and will facilitate anti-cancer drug discovery.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Neoplasms* / drug therapy
  • Neoplasms* / genetics
  • RNA / metabolism
  • RNA-Binding Proteins / metabolism
  • Sequence Analysis, RNA
  • Transcriptome* / genetics

Substances

  • RNA
  • RNA-Binding Proteins