Nature Communications (Apr 2021)

An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer

  • Sia Viborg Lindskrog,
  • Frederik Prip,
  • Philippe Lamy,
  • Ann Taber,
  • Clarice S. Groeneveld,
  • Karin Birkenkamp-Demtröder,
  • Jørgen Bjerggaard Jensen,
  • Trine Strandgaard,
  • Iver Nordentoft,
  • Emil Christensen,
  • Mateo Sokac,
  • Nicolai J. Birkbak,
  • Lasse Maretty,
  • Gregers G. Hermann,
  • Astrid C. Petersen,
  • Veronika Weyerer,
  • Marc-Oliver Grimm,
  • Marcus Horstmann,
  • Gottfrid Sjödahl,
  • Mattias Höglund,
  • Torben Steiniche,
  • Karin Mogensen,
  • Aurélien de Reyniès,
  • Roman Nawroth,
  • Brian Jordan,
  • Xiaoqi Lin,
  • Dejan Dragicevic,
  • Douglas G. Ward,
  • Anshita Goel,
  • Carolyn D. Hurst,
  • Jay D. Raman,
  • Joshua I. Warrick,
  • Ulrika Segersten,
  • Danijel Sikic,
  • Kim E. M. van Kessel,
  • Tobias Maurer,
  • Joshua J. Meeks,
  • David J. DeGraff,
  • Richard T. Bryan,
  • Margaret A. Knowles,
  • Tatjana Simic,
  • Arndt Hartmann,
  • Ellen C. Zwarthoff,
  • Per-Uno Malmström,
  • Núria Malats,
  • Francisco X. Real,
  • Lars Dyrskjøt

DOI
https://doi.org/10.1038/s41467-021-22465-w
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 18

Abstract

Read online

Multiple molecular profiling methods are required to study urothelial non-muscle-invasive bladder cancer (NMIBC) due to its heterogeneity. Here the authors integrate multi-omics data of 834 NMIBC patients, identifying a molecular subgroup associated with multiple alterations and worse outcomes.