Multi-omics reveals clinically relevant proliferative drive associated with mTOR-MYC-OXPHOS activity in chronic lymphocytic leukemia

被引:0
作者
Junyan Lu
Ester Cannizzaro
Fabienne Meier-Abt
Sebastian Scheinost
Peter-Martin Bruch
Holly A. R. Giles
Almut Lütge
Jennifer Hüllein
Lena Wagner
Brian Giacopelli
Ferran Nadeu
Julio Delgado
Elías Campo
Maurizio Mangolini
Ingo Ringshausen
Martin Böttcher
Dimitrios Mougiakakos
Andrea Jacobs
Bernd Bodenmiller
Sascha Dietrich
Christopher C. Oakes
Thorsten Zenz
Wolfgang Huber
机构
[1] European Molecular Biology Laboratory (EMBL),Department of Medical Oncology and Hematology
[2] Molecular Medicine Partnership Unit (MMPU),Molecular Therapy in Hematology and Oncology
[3] University Hospital Zurich and University of Zurich,Department of Internal Medicine V
[4] National Center for Tumor Diseases and German Cancer Research Centre,Department of Molecular Life Sciences
[5] Heidelberg University Hospital,Division of Hematology, Department of Internal Medicine
[6] Department of Medicine V,Hematopathology Unit
[7] Hematology,Wellcome Trust/MRC Cambridge Stem Cell Institute & Department of Haematology
[8] Oncology and Rheumatology,Department of Internal Medicine 5, Hematology and Oncology
[9] University of Heidelberg,Institute of Molecular Health Sciences
[10] University of Zurich,Translational Oncology
[11] Ohio State University,Department of Biomedical Informatics
[12] Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS),undefined
[13] Centro de Investigación Biomédica en Red de Cáncer (CIBERONC),undefined
[14] Hospital Clínic de Barcelona,undefined
[15] University of Barcelona,undefined
[16] University of Cambridge,undefined
[17] University of Erlangen-Nuremberg,undefined
[18] ETH Zurich,undefined
[19] German Cancer Research Center (DKFZ),undefined
[20] Ohio State University,undefined
来源
Nature Cancer | 2021年 / 2卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Chronic lymphocytic leukemia (CLL) has a complex pattern of driver mutations and much of its clinical diversity remains unexplained. We devised a method for simultaneous subgroup discovery across multiple data types and applied it to genomic, transcriptomic, DNA methylation and ex vivo drug response data from 217 patients with CLL. We uncovered a biological axis of heterogeneity strongly associated with clinical behavior and orthogonal to known biomarkers. We validated its presence and clinical relevance in four independent cohorts (n = 547 patients). We found that this axis captures the proliferative drive (PD) of CLL cells, as it associates with lymphocyte doubling rate, global hypomethylation, accumulation of driver aberrations and response to pro-proliferative stimuli. CLL–PD was linked to the activation of mTOR–MYC–oxidative phosphorylation through transcriptomic, proteomic and single-cell resolution analysis. CLL–PD is a key determinant of disease outcome in CLL. Our multi-table integration approach may be applicable to other tumors whose inter-individual differences are currently unexplained.
引用
收藏
页码:853 / 864
页数:11
相关论文
共 133 条
[1]  
Guièze R(2015)Genomic and epigenomic heterogeneity in chronic lymphocytic leukemia Blood 126 445-453
[2]  
Wu CJ(2010)From pathogenesis to treatment of chronic lymphocytic leukaemia Nat. Rev. Cancer 10 37-50
[3]  
Zenz T(2016)DNA methylation dynamics during B cell maturation underlie a continuum of disease phenotypes in chronic lymphocytic leukemia Nat. Genet. 48 253-264
[4]  
Mertens D(2015)A B-cell epigenetic signature defines three biologic subgroups of chronic lymphocytic leukemia with clinical impact Leukemia 29 598-605
[5]  
Küppers R(1999)Ig V gene mutation status and CD38 expression as novel prognostic indicators in chronic lymphocytic leukemia Blood 94 1840-1847
[6]  
Döhner H(1999)Unmutated Ig V(H) genes are associated with a more aggressive form of chronic lymphocytic leukemia Blood 94 1848-1854
[7]  
Stilgenbauer S(2019)Developmental subtypes assessed by DNA methylation-iPLEX forecast the natural history of chronic lymphocytic leukemia Blood 134 688-698
[8]  
Oakes CC(2011)B-cell receptor signaling in chronic lymphocytic leukemia Blood 118 4313-4320
[9]  
Queirós AC(2014)Transcriptome characterization by RNA sequencing identifies a major molecular and clinical subdivision in chronic lymphocytic leukemia Genome Res. 24 212-226
[10]  
Damle RN(2018)Drug-perturbation-based stratification of blood cancer J. Clin. Invest. 128 427-445