Nature Communications (Oct 2022)

Proteogenomics refines the molecular classification of chronic lymphocytic leukemia

  • Sophie A. Herbst,
  • Mattias Vesterlund,
  • Alexander J. Helmboldt,
  • Rozbeh Jafari,
  • Ioannis Siavelis,
  • Matthias Stahl,
  • Eva C. Schitter,
  • Nora Liebers,
  • Berit J. Brinkmann,
  • Felix Czernilofsky,
  • Tobias Roider,
  • Peter-Martin Bruch,
  • Murat Iskar,
  • Adam Kittai,
  • Ying Huang,
  • Junyan Lu,
  • Sarah Richter,
  • Georgios Mermelekas,
  • Husen Muhammad Umer,
  • Mareike Knoll,
  • Carolin Kolb,
  • Angela Lenze,
  • Xiaofang Cao,
  • Cecilia Österholm,
  • Linus Wahnschaffe,
  • Carmen Herling,
  • Sebastian Scheinost,
  • Matthias Ganzinger,
  • Larry Mansouri,
  • Katharina Kriegsmann,
  • Mark Kriegsmann,
  • Simon Anders,
  • Marc Zapatka,
  • Giovanni Del Poeta,
  • Antonella Zucchetto,
  • Riccardo Bomben,
  • Valter Gattei,
  • Peter Dreger,
  • Jennifer Woyach,
  • Marco Herling,
  • Carsten Müller-Tidow,
  • Richard Rosenquist,
  • Stephan Stilgenbauer,
  • Thorsten Zenz,
  • Wolfgang Huber,
  • Eugen Tausch,
  • Janne Lehtiö,
  • Sascha Dietrich

DOI
https://doi.org/10.1038/s41467-022-33385-8
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 18

Abstract

Read online

Proteomics can be used to refine cancer classification. Here, the authors characterise chronic lymphocytic leukaemia patients by proteogenomics, and identified a subtype of patients with poor prognosis associated with aberrant B cell receptor signalling.