학술논문
An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer
Document Type
article
Author
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
Source
Nature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
Subject
Language
English
ISSN
2041-1723
Abstract
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.