Integrative multi-omics and drug response profiling of childhood acute lymphoblastic leukemia cell lines

被引:0
|
作者
Isabelle Rose Leo
Luay Aswad
Matthias Stahl
Elena Kunold
Frederik Post
Tom Erkers
Nona Struyf
Georgios Mermelekas
Rubin Narayan Joshi
Eva Gracia-Villacampa
Päivi Östling
Olli P. Kallioniemi
Katja Pokrovskaja Tamm
Ioannis Siavelis
Janne Lehtiö
Mattias Vesterlund
Rozbeh Jafari
机构
[1] Karolinska Institutet,Clinical Proteomics Mass Spectrometry, Department of Oncology
[2] Science for Life Laboratory,Pathology
[3] University of Muenster,Institute of Plant Biology and Biotechnology
[4] Karolinska Institutet,Molecular Precision Medicine, Department of Oncology
[5] Science for Life Laboratory,Pathology
[6] Biotechnology and Health,Division of Gene Technology, School of Engineering Sciences in Chemistry
[7] KTH,Department of Oncology
[8] Science for Life Laboratory,Pathology
[9] Karolinska Institutet,undefined
[10] J6:140 BioClinicum,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer. Although standard-of-care chemotherapeutics are sufficient for most ALL cases, there are subsets of patients with poor response who relapse in disease. The biology underlying differences between subtypes and their response to therapy has only partially been explained by genetic and transcriptomic profiling. Here, we perform comprehensive multi-omic analyses of 49 readily available childhood ALL cell lines, using proteomics, transcriptomics, and pharmacoproteomic characterization. We connect the molecular phenotypes with drug responses to 528 oncology drugs, identifying drug correlations as well as lineage-dependent correlations. We also identify the diacylglycerol-analog bryostatin-1 as a therapeutic candidate in the MEF2D-HNRNPUL1 fusion high-risk subtype, for which this drug activates pro-apoptotic ERK signaling associated with molecular mediators of pre-B cell negative selection. Our data is the foundation for the interactive online Functional Omics Resource of ALL (FORALL) with navigable proteomics, transcriptomics, and drug sensitivity profiles at https://proteomics.se/forall.
引用
收藏
相关论文
共 50 条
  • [1] Integrative multi-omics and drug response profiling of childhood acute lymphoblastic leukemia cell lines
    Leo, Isabelle Rose
    Aswad, Luay
    Stahl, Matthias
    Kunold, Elena
    Post, Frederik
    Erkers, Tom
    Struyf, Nona
    Mermelekas, Georgios
    Joshi, Rubin Narayan
    Gracia-Villacampa, Eva
    Ostling, Paivi
    Kallioniemi, Olli P.
    Tamm, Katja Pokrovskaja
    Siavelis, Ioannis
    Lehtio, Janne
    Vesterlund, Mattias
    Jafari, Rozbeh
    NATURE COMMUNICATIONS, 2022, 13 (01)
  • [2] Multi-Omics of Adult T Cell Acute Lymphoblastic Leukemia
    Neumann, Martin
    Schroeder, Michael P.
    Bastian, Lorenz
    Tanchez, Jutta Ortiz
    Schlee, Cornelia
    Isaakidis, Konstandina
    James, Alva Rani
    Fransecky, Lars R.
    Vosberg, Sebastian
    Krebs, Stefan
    Blum, Helmut
    Schwartz, Stefan
    Burmeister, Thomas
    Hoelzer, Dieter
    Greif, Philipp A.
    Bruggemann, Monika
    Goekbuget, Nicola
    Baldus, Claudia D.
    BLOOD, 2017, 130
  • [3] Multi-Omics Signature of B-Cell Acute Lymphoblastic Leukemia Subtypes
    Hu, Zunsong
    Jia, Zhilian
    Damirchi, Behzad
    Gu, Zhaohui
    BLOOD, 2022, 140 : 5902 - 5904
  • [4] INTEGRATIVE MULTI-OMICS PROFILING IN PENILE SQUAMOUS CELL CARCINOMA
    Shaw, Timothy
    Obermayer, Alyssa
    Ercan, Dalia
    Stewart, Paul
    Chahoud, Jad
    Johnstone, Peter
    Spiess, Philippe
    Eschrich, Steven
    Grass, Daniel
    JOURNAL OF UROLOGY, 2023, 209 : E689 - E689
  • [5] Integrative spatial protein profiling with multi-omics
    Fan, Rong
    NATURE METHODS, 2024, 21 (12) : 2223 - 2225
  • [6] Multi-Omics Profiling of Sickle Cell Acute Chest Syndrome
    Kopp, B. T.
    Creary, S.
    Loman, B.
    Shrestha, C.
    Kotha, K.
    Minta, A.
    Zhang, S.
    Pinto, S. J.
    Thompson, R. A.
    Ramilo, O.
    White, P.
    Bailey, M.
    Mejias, A.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2020, 201
  • [7] Integrative Analysis of Multi-Omics Identified the Prognostic Biomarkers in Acute Myelogenous Leukemia
    Zheng, Jiafeng
    Zhang, Tongqiang
    Guo, Wei
    Zhou, Caili
    Cui, Xiaojian
    Gao, Long
    Cai, Chunquan
    Xu, Yongsheng
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [8] Integrative Multi-omics Analysis of Childhood Aggressive Behavior
    Fiona A. Hagenbeek
    Jenny van Dongen
    René Pool
    Peter J. Roetman
    Amy C. Harms
    Jouke Jan Hottenga
    Cornelis Kluft
    Olivier F. Colins
    Catharina E. M. van Beijsterveldt
    Vassilios Fanos
    Erik A. Ehli
    Thomas Hankemeier
    Robert R. J. M. Vermeiren
    Meike Bartels
    Sébastien Déjean
    Dorret I. Boomsma
    Behavior Genetics, 2023, 53 : 101 - 117
  • [9] Integrative Multi-omics Analysis of Childhood Aggressive Behavior
    Hagenbeek, Fiona A.
    van Dongen, Jenny
    Pool, Rene
    Roetman, Peter J.
    Harms, Amy C.
    Hottenga, Jouke Jan
    Kluft, Cornelis
    Colins, Olivier F.
    van Beijsterveldt, Catharina E. M.
    Fanos, Vassilios
    Ehli, Erik A.
    Hankemeier, Thomas
    Vermeiren, Robert R. J. M.
    Bartels, Meike
    Dejean, Sebastien
    Boomsma, Dorret, I
    BEHAVIOR GENETICS, 2023, 53 (02) : 101 - 117
  • [10] Drug Response Profiling of Childhood T-Cell Acute Lymphoblastic Leukemia to Inform Functional Precision Medicine
    Lin, Guanglan
    Chan, Kathy Yuen Yee
    Sun, Qiwei
    Leung, Wing Kwan
    Li, Chi Kong
    Leung, Kam Tong
    BLOOD, 2023, 142