Plasma proteomics of biomarkers for inflammation or cancer cannot predict relapse in chronic myeloid leukaemia patients stopping tyrosine kinase inhibitor therapy.


Journal

Leukemia research
ISSN: 1873-5835
Titre abrégé: Leuk Res
Pays: England
ID NLM: 7706787

Informations de publication

Date de publication:
03 2020
Historique:
received: 20 03 2019
revised: 21 12 2019
accepted: 21 01 2020
pubmed: 15 2 2020
medline: 15 9 2020
entrez: 15 2 2020
Statut: ppublish

Résumé

Several studies have now shown that chronic myeloid leukaemia (CML) patients in deep molecular remission may discontinue tyrosine kinase inhibitor (TKI) treatment with a treatment free remission (TFR) rate of approximately 40-60 %. Some factors influencing the possibility of TFR have been described but better tools are needed for individual prediction of long-term TFR. Herein, two multiplex panels were utilised to analyse a total of 162 different plasma proteins from 56 patients included in the TKI stopping trial EURO-SKI (Saussele et al., 2018). The purpose was to identify possible plasma protein markers for prediction of successful TKI discontinuation and to evaluate effects of TKI discontinuation on plasma protein profiles. No protein biomarkers sampled before TKI discontinuation could separate relapse cases from non-relapse cases but some plasma proteins differed between patients who relapsed and those who remained in TFR when followed over time after TKI cessation. In conclusion, the plasma protein markers in this study could not predict relapse after TKI discontinuation but may be of use to understand the mechanisms involved in maintenance of TFR.

Identifiants

pubmed: 32058176
pii: S0145-2126(20)30015-1
doi: 10.1016/j.leukres.2020.106310
pii:
doi:

Substances chimiques

Biomarkers 0
Blood Proteins 0
Protein Kinase Inhibitors 0
Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106310

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Stina Söderlund (S)

Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Section of Hematology, Uppsala University Hospital, Uppsala, Sweden. Electronic address: stina.soderlund@medsci.uu.se.

Inger Persson (I)

Department of Statistics, Uppsala University, Uppsala, Sweden.

Mette Ilander (M)

Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland; Department of Clinical Chemistry and Hematology, University of Helsinki, Finland.

Joëlle Guilhot (J)

Institut National de la Santé et de la Recherche Medicale (INSERM), CHU de Poitiers, Poitiers, France.

Henrik Hjorth-Hansen (H)

Department of Hematology, St Olav's Hospital, Trondheim, Norway.

Perttu Koskenvesa (P)

Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.

Johan Richter (J)

Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden.

Susanne Saussele (S)

III. Medizinische Klinik, Universitätsmedizin Mannheim, Universität Heidelberg, Mannheim, Germany.

Satu Mustjoki (S)

Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland; Department of Clinical Chemistry and Hematology, University of Helsinki, Finland.

Ulla Olsson-Strömberg (U)

Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Section of Hematology, Uppsala University Hospital, Uppsala, Sweden.

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Classifications MeSH