Literature DB >> 30656643

Altered expression of metabolic pathways in CLL detected by unlabelled quantitative mass spectrometry analysis.

Lauren A Thurgood1, Eveline S Dwyer1, Karen M Lower1, Tim K Chataway2, Bryone J Kuss1,3.   

Abstract

Chronic lymphocytic leukaemia (CLL) remains the most common incurable malignancy of B cells in the western world. Patient outcomes are heterogeneous and can be difficult to predict with current prognostic markers. Here, we used a quantitative label-free proteomic technique to ascertain differences in the B-cell proteome from healthy donors and CLL patients with either mutated (M-CLL) or unmutated (UM-CLL) IGHV to identify new prognostic markers. In peripheral B-CLL cells, 349 (22%) proteins were differentially expressed between normal B cells and B-CLL cells and 189 (12%) were differentially expressed between M-CLL and UM-CLL. We also examined the proteome of proliferating CLL cells in the lymph nodes, and identified 76 (~8%) differentially expressed proteins between healthy and CLL lymph nodes. B-CLL cells show over-expression of proteins involved in lipid and cholesterol metabolism. A comprehensive lipidomic analysis highlighted large differences in glycolipids and sphingolipids. A shift was observed from the pro-apoptotic lipid ceramide towards the anti-apoptotic/chemoresistant lipid, glucosylceramide, which was more evident in patients with aggressive disease (UM-CLL). This study details a novel quantitative proteomic technique applied for the first time to primary patient samples in CLL and highlights that primary CLL lymphocytes display markers of a metabolic shift towards lipid synthesis and breakdown.
© 2019 British Society for Haematology and John Wiley & Sons Ltd.

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Keywords:  zzm321990CLLzzm321990; zzm321990SWATHzzm321990; lipidomics; metabolism; proteomics

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Year:  2019        PMID: 30656643     DOI: 10.1111/bjh.15751

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  5 in total

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2.  Assessing technical and biological variation in SWATH-MS-based proteomic analysis of chronic lymphocytic leukaemia cells.

Authors:  Gina L Eagle; John M J Herbert; Jianguo Zhuang; Melanie Oates; Umair T Khan; Neil R Kitteringham; Kim Clarke; B Kevin Park; Andrew R Pettitt; Rosalind E Jenkins; Francesco Falciani
Journal:  Sci Rep       Date:  2021-02-03       Impact factor: 4.379

3.  Proteomic profiling based classification of CLL provides prognostication for modern therapy and identifies novel therapeutic targets.

Authors:  Ti'ara L Griffen; Fieke W Hoff; Yihua Qiu; James W Lillard; Alessandra Ferrajoli; Philip Thompson; Endurance Toro; Kevin Ruiz; Jan Burger; William Wierda; Steven M Kornblau
Journal:  Blood Cancer J       Date:  2022-03-17       Impact factor: 11.037

Review 4.  Targeting metabolic reprogramming in chronic lymphocytic leukemia.

Authors:  Yu Nie; Xiaoya Yun; Ya Zhang; Xin Wang
Journal:  Exp Hematol Oncol       Date:  2022-06-27

5.  Prognostic and Therapeutic Value of Apolipoprotein A and a New Risk Scoring System Based on Apolipoprotein A and Adenosine Deaminase in Chronic Lymphocytic Leukemia.

Authors:  Xiaoya Yun; Xiang Sun; Xinting Hu; Huimin Zhang; Zixun Yin; Xin Zhang; Ming Liu; Ya Zhang; Xin Wang
Journal:  Front Oncol       Date:  2021-07-01       Impact factor: 6.244

  5 in total

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