Deep single-cell immune and signaling profiles predict long …

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Work Details
  • DOI 10.1101/2025.11.10.687542
  • OpenAlex ID W4416119743
  • Type Preprint
  • Language EN
  • Published 11 Nov 2025
  • Source bioRxiv (Cold Spring Harbor Laboratory)
  • Publisher Cold Spring Harbor Laboratory
  • Countries 6
  • Institutions 14
  • Added 12 Nov 2025
  • Updated 28 Oct 2026
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Deep single-cell immune and signaling profiles predict long term therapy response in chronic myeloid leukemia within hours

Preprint 2025 EN Green

Summary Chronic myeloid leukemia (CML) is effectively treated with small molecule BCR::ABL1 tyrosine kinase inhibitors (TKIs) but like in all cancers, early identification of suboptimal- and non-responders is a challenge. Through mass cytometry analysis of peripheral blood leukocytes, we collected high-dimensional data from de novo chronic phase CML patients enrolled in two multicenter clinical tr…

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UN Sustainable Development Goals
1 SDGs
Authors & Affiliations
15 authors
#AuthorInstitutionsORCID
1 Stein‐Erik Gullaksen Haukeland University Hospital (NO)
2 Mathias Brevik University of Bergen (NO)
3 Øystein Sefland Haukeland University Hospital (NO)
4 Erin Craig University of Michigan (US) —
5 Monica Hellesøy Haukeland University Hospital (NO)
6 Ulla Olsson‐Strömberg Uppsala University Hospital (SE) —
7 Jesper Stentoft Aarhus University Hospital (DK)
8 Johan Richter Skåne University Hospital (SE)
9 Tobias Gedde‐Dahl Oslo University Hospital (NO) University of Oslo (NO)
10 Robert John Tibshirani Stanford University (US)
11 Sylvia K. Plevritis Stanford University (US)
12 Dominik Georg Friedrich Wolf Innsbruck Medical University (AT) Universität Innsbruck (AT) +1
13 Satu M. Mustjoki University of Helsinki (FI)
14 Henrik Hjorth‐Hansen Norwegian University of Scienc… (NO)
15 Bjørn Tore Gjertsen Corresponding Haukeland University Hospital (NO)

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