Cellular hierarchies predict drug response in acute myeloid leukemia

被引:0
|
作者
Raffel, Simon [1 ]
Velten, Lars [2 ,3 ]
Haas, Simon [4 ,5 ,6 ,7 ,8 ,9 ,10 ,11 ,12 ]
机构
[1] Univ Hosp Heidelberg, Dept Med Hematol Oncol & Rheumatol 5, Heidelberg, Germany
[2] Barcelona Inst Sci & Technol, Ctr Genom Regulat CRG, Dr Aiguader 88, Barcelona 08003, Spain
[3] Univ Pompeu Fabra UPF, Barcelona, Spain
[4] Charite Univ Med Berlin, Berlin Inst Hlth BIH, Berlin, Germany
[5] Helmholtz Assoc, Max Delbr uck Ctr Mol Med, Berlin Inst Med Syst Biol, Berlin, Germany
[6] Charite Univ Med Berlin, Berlin, Germany
[7] Free Univ Berlin, Berlin, Germany
[8] Humboldt Univ, Dept Hematol Oncol & Canc Immunol, Berlin, Germany
[9] Heidelberg Inst Stem Cell Technol & Expt Med HI S, Heidelberg, Germany
[10] Deutsch Krebsforschungszentrum DKFZ, Div Stem Cells & Canc, Heidelberg, Germany
[11] DKFZ ZMBH Alliance, Heidelberg, Germany
[12] German Canc Consortium DKTK, Heidelberg, Germany
关键词
STEMNESS SCORE; RISK;
D O I
10.1016/j.ccell.2022.08.019
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
引用
收藏
页码:917 / 919
页数:3
相关论文
共 50 条
  • [1] A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia
    Andy G. X. Zeng
    Suraj Bansal
    Liqing Jin
    Amanda Mitchell
    Weihsu Claire Chen
    Hussein A. Abbas
    Michelle Chan-Seng-Yue
    Veronique Voisin
    Peter van Galen
    Anne Tierens
    Meyling Cheok
    Claude Preudhomme
    Hervé Dombret
    Naval Daver
    P. Andrew Futreal
    Mark D. Minden
    James A. Kennedy
    Jean C. Y. Wang
    John E. Dick
    Nature Medicine, 2022, 28 : 1212 - 1223
  • [2] A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia
    Zeng, Andy G. X.
    Bansal, Suraj
    Jin, Liqing
    Mitchell, Amanda
    Chen, Weihsu Claire
    Abbas, Hussein A.
    Chan-Seng-Yue, Michelle
    Voisin, Veronique
    van Galen, Peter
    Tierens, Anne
    Cheok, Meyling
    Preudhomme, Claude
    Dombret, Herve
    Daver, Naval
    Futreal, P. Andrew
    Minden, Mark D.
    Kennedy, James A.
    Wang, Jean C. Y.
    Dick, John E.
    NATURE MEDICINE, 2022, 28 (06) : 1212 - +
  • [3] Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia
    Qin, Guangrong
    Dai, Jin
    Chien, Sylvia
    Martins, Timothy J.
    Loera, Brenda
    Nguyen, Quy H.
    Oakes, Melanie L.
    Tercan, Bahar
    Aguilar, Boris
    Hagen, Lauren
    Mccune, Jeannine
    Gelinas, Richard
    Monnat, Raymond J.
    Shmulevich, Ilya
    Becker, Pamela S.
    CLINICAL CANCER RESEARCH, 2024, 30 (12) : 2659 - 2671
  • [4] Clonal Architecture and Variant Allele Frequency Predict Clinical Outcomes and Drug Response in Acute Myeloid Leukemia
    Benard, Brooks
    Leak, Logan
    Azizi, Armon
    Thomas, Daniel
    Gentles, Andrew
    Majeti, Ravi
    BLOOD, 2020, 136
  • [5] Maintenance of cellular respiration indicates drug resistance in acute myeloid leukemia
    Henkenius, Katharina
    Greene, Brandon H.
    Barckhausen, Christina
    Hartmann, Raimo
    Maerken, Melanie
    Kaiser, Tom
    Rehberger, Miriam
    Metzelder, Stephan K.
    Parak, Wolfgang J.
    Neubauer, Andreas
    Brendel, Cornelia
    Mack, Elisabeth
    LEUKEMIA RESEARCH, 2017, 62 : 56 - 63
  • [6] Prediction model for drug response of acute myeloid leukemia patients
    Quang Thinh Trac
    Yudi Pawitan
    Tian Mou
    Tom Erkers
    Päivi Östling
    Anna Bohlin
    Albin Österroos
    Mattias Vesterlund
    Rozbeh Jafari
    Ioannis Siavelis
    Helena Bäckvall
    Santeri Kiviluoto
    Lukas M. Orre
    Mattias Rantalainen
    Janne Lehtiö
    Sören Lehmann
    Olli Kallioniemi
    Trung Nghia Vu
    npj Precision Oncology, 7
  • [7] Prediction model for drug response of acute myeloid leukemia patients
    Trac, Quang Thinh
    Pawitan, Yudi
    Mou, Tian
    Erkers, Tom
    Ostling, Paivi
    Bohlin, Anna
    Osterroos, Albin
    Vesterlund, Mattias
    Jafari, Rozbeh
    Siavelis, Ioannis
    Backvall, Helena
    Kiviluoto, Santeri
    Orre, Lukas M.
    Rantalainen, Mattias
    Lehtio, Janne
    Lehmann, Soren
    Kallioniemi, Olli
    Vu, Trung Nghia
    NPJ PRECISION ONCOLOGY, 2023, 7 (01)
  • [8] Cellular and Molecular Biomarkers Predictive of Response to Immunotherapy in Acute Myeloid Leukemia
    Wiatrowski, Kyle
    Kim, Tae Hee
    Przespolewski, Amanda
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [9] Cellular drug resistance in childhood acute myeloid leukemia is related to chromosomal abnormalities
    Zwaan, CM
    Kaspers, GJL
    Pieters, R
    Hählen, K
    Huismans, DR
    Zimmermann, M
    Harbott, J
    Slater, RM
    Creutzig, U
    Veerman, AJP
    BLOOD, 2002, 100 (09) : 3352 - 3360
  • [10] Integrative analysis of drug response and clinical outcome in acute myeloid leukemia
    Bottomly, Daniel
    Long, Nicola
    Schultz, Anna Reister
    Kurtz, Stephen E.
    Tognon, Cristina E.
    Johnson, Kara
    Abel, Melissa
    Agarwal, Anupriya
    Avaylon, Sammantha
    Benton, Erik
    Blucher, Aurora
    Borate, Uma
    Braun, Theodore P.
    Brown, Jordana
    Bryant, Jade
    Burke, Russell
    Carlos, Amy
    Chang, Bill H.
    Cho, Hyun Jun
    Christy, Stephen
    Coblentz, Cody
    Cohen, Aaron M.
    d'Almeida, Amanda
    Cook, Rachel
    Danilov, Alexey
    Dao, Kim-Hien T.
    Degnin, Michie
    Dibb, James
    Eide, Christopher A.
    English, Isabel
    Hagler, Stuart
    Harrelson, Heath
    Henson, Rachel
    Ho, Hibery
    Joshi, Sunil K.
    Junio, Brian
    Kaempf, Andy
    Kosaka, Yoko
    Laderas, Ted
    Lawhead, Matt
    Lee, Hyunjung
    Leonard, Jessica T.
    Lin, Chenwei
    Lind, Evan F.
    Liu, Selina Qiuying
    Lo, Pierrette
    Loriaux, Marc M.
    Luty, Samuel
    Maxson, Julia E.
    Macey, Tara
    CANCER CELL, 2022, 40 (08) : 850 - +