Whole-exome sequencing identified genetic risk factors for asparaginase-related complications in childhood ALL patients

被引:29
作者
Abaji, Rachid [1 ,7 ]
Gagne, Vincent [1 ]
Xu, Chang Jiang [1 ]
Spinella, Jean-Francois [1 ]
Ceppi, Francesco [1 ]
Laverdiere, Caroline [1 ,2 ]
Leclerc, Jean-Marie [1 ,2 ]
Sallan, Stephen E. [3 ,4 ]
Neuberg, Donna [5 ]
Kutok, Jeffery L. [6 ]
Silverman, Lewis B. [3 ,4 ]
Sinnett, Daniel [1 ,2 ]
Krajinovic, Maja [1 ,2 ,7 ]
机构
[1] Ctr Hosp Univ St Justine, Res Ctr, Montreal, PQ, Canada
[2] Univ Montreal, Dept Pediat, Montreal, PQ, Canada
[3] Dana Farber Canc Inst, Dept Pediat Oncol, Boston, MA 02115 USA
[4] Childrens Hosp, Div Hematol Oncol, Boston, MA 02115 USA
[5] Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02115 USA
[6] Brigham & Womens Hosp, Dept Pathol, 75 Francis St, Boston, MA 02115 USA
[7] Univ Montreal, Dept Pharmacol, Montreal, PQ, Canada
基金
加拿大健康研究院;
关键词
acute lymphoblastic leukemia; asparaginase; exome-wide association; pharmacogenetics; whole-exome sequencing; ACUTE LYMPHOBLASTIC-LEUKEMIA; THROMBOTIC RISK; CHILDREN; POLYMORPHISMS; ASSOCIATION; TOXICITY; INTERLEUKIN-16; PATHOGENESIS; ANTIBODIES; VARIANTS;
D O I
10.18632/oncotarget.17959
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Allergy, pancreatitis and thrombosis are common side-effects of childhood acute lymphoblastic leukemia (ALL) treatment that are associated with the use of asparaginase (ASNase), a key component in most ALL treatment protocols. Starting with predicted functional germline variants obtained through whole-exome sequencing (WES) data of the Quebec childhood ALL cohort we performed exome-wide association studies with ASNase-related toxicities. A subset of top-ranking variants was further confirmed by genotyping (N=302) followed by validation in an independent replication group (N=282); except for thrombosis which was not available for that dataset. SNPs in 12 genes were associated with ASNase complications in discovery cohort including 3 that were associated with allergy, 3 with pancreatitis and 6 with thrombosis. The risk was further increased through combined SNPs effect (p=0.002), suggesting synergistic interactions between the SNPs identified in each of the studied toxicities. Interestingly, rs3809849 in the MYBBP1A gene was associated with allergy (p=0.0006), pancreatitis (p=0.002), thrombosis (p=0.02), event-free survival (p=0.02) and overall survival (p=0.003). Furthermore, rs11556218 in IL16 and rs34708521 in SPEF2 were both associated with thrombosis (p=0.01 and p=0.03, respectively) and pancreatitis (p=0.02). The association of SNPs in MYBBP1A, SPEF2 and IL16 genes with pancreatitis was replicated in the validation cohort (p <= 0.05) as well as in combined cohort (p=0.0003, p=0.008 and p=0.02, respectively). The synergistic effect of combining risk loci had the highest power to predict the development of pancreatitis in both cohorts and was further potentiated in the combined cohort (p=1x10(-8)). The present work demonstrates that using WES data is a successful "hypothesis-free" strategy for identifying significant genetic markers modulating the effect of the treatment in childhood ALL.
引用
收藏
页码:43752 / 43767
页数:16
相关论文
共 49 条
  • [1] Adzhubei Ivan, 2013, Curr Protoc Hum Genet, VChapter 7, DOI 10.1002/0471142905.hg0720s76
  • [2] A map of human genome variation from population-scale sequencing
    Altshuler, David
    Durbin, Richard M.
    Abecasis, Goncalo R.
    Bentley, David R.
    Chakravarti, Aravinda
    Clark, Andrew G.
    Collins, Francis S.
    De la Vega, Francisco M.
    Donnelly, Peter
    Egholm, Michael
    Flicek, Paul
    Gabriel, Stacey B.
    Gibbs, Richard A.
    Knoppers, Bartha M.
    Lander, Eric S.
    Lehrach, Hans
    Mardis, Elaine R.
    McVean, Gil A.
    Nickerson, DebbieA.
    Peltonen, Leena
    Schafer, Alan J.
    Sherry, Stephen T.
    Wang, Jun
    Wilson, Richard K.
    Gibbs, Richard A.
    Deiros, David
    Metzker, Mike
    Muzny, Donna
    Reid, Jeff
    Wheeler, David
    Wang, Jun
    Li, Jingxiang
    Jian, Min
    Li, Guoqing
    Li, Ruiqiang
    Liang, Huiqing
    Tian, Geng
    Wang, Bo
    Wang, Jian
    Wang, Wei
    Yang, Huanming
    Zhang, Xiuqing
    Zheng, Huisong
    Lander, Eric S.
    Altshuler, David L.
    Ambrogio, Lauren
    Bloom, Toby
    Cibulskis, Kristian
    Fennell, Tim J.
    Gabriel, Stacey B.
    [J]. NATURE, 2010, 467 (7319) : 1061 - 1073
  • [3] [Anonymous], NHLBI GO EX SEQ PROJ
  • [4] Association of interleukin-16 polymorphisms with disease progression and susceptibility in endometriosis
    Azimzadeh, P.
    Khorshid, H. R. Khorram
    Akhondi, M. M.
    Shirazi, A.
    [J]. INTERNATIONAL JOURNAL OF IMMUNOGENETICS, 2016, 43 (05) : 297 - 302
  • [5] Allelic loss in childhood acute lymphoblastic leukemia
    Baccichet, A
    Qualman, SK
    Sinnett, D
    [J]. LEUKEMIA RESEARCH, 1997, 21 (09) : 817 - 823
  • [6] Polymorphisms of Asparaginase Pathway and Asparaginase-Related Complications in Children with Acute Lymphoblastic Leukemia
    Ben Tanfous, Mohsen
    Sharif-Askari, Bahram
    Ceppi, Francesco
    Laaribi, Haithem
    Gagne, Vincent
    Rousseau, Julie
    Labuda, Malgorzata
    Silverman, Lewis B.
    Sallan, Stephen E.
    Neuberg, Donna
    Kutok, Jeffery L.
    Sinnett, Daniel
    Laverdiere, Caroline
    Krajinovic, Maja
    [J]. CLINICAL CANCER RESEARCH, 2015, 21 (02) : 329 - 334
  • [7] Integrative Omics Approach Identifies Interleukin-16 as a Biomarker of Emphysema
    Bowler, Russell P.
    Bahr, Timothy M.
    Hughes, Grant
    Lutz, Sharon
    Kim, Yu-Il
    Coldren, Christopher D.
    Reisdorph, Nichole
    Kechris, Katerina J.
    [J]. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY, 2013, 17 (12) : 619 - 626
  • [8] Identification of genetic associations of SP110/MYBBP1A/RELA with pulmonary tuberculosis in the Chinese Han population
    Cai, Lei
    Deng, Shao-Li
    Liang, Li
    Pan, Hui
    Zhou, Jia
    Wang, Mei-Yan
    Yue, Jun
    Wan, Chun-Ling
    He, Guang
    He, Lin
    [J]. HUMAN GENETICS, 2013, 132 (03) : 265 - 273
  • [9] Genetic Variations in GRIA1 on Chromosome 5q33 Related to Asparaginase Hypersensitivity
    Chen, S-H
    Pei, D.
    Yang, W.
    Cheng, C.
    Jeha, S.
    Cox, N. J.
    Evans, W. E.
    Pui, C-H
    Relling, M. V.
    [J]. CLINICAL PHARMACOLOGY & THERAPEUTICS, 2010, 88 (02) : 191 - 196
  • [10] Integration of genetic risk factors into a clinical algorithm for multiple sclerosis susceptibility: a weighted genetic risk score
    De Jager, Philip L.
    Chibnik, Lori B.
    Cui, Jing
    Reischl, Joachim
    Lehr, Stephan
    Simon, K. Claire
    Aubin, Cristin
    Bauer, David
    Heubach, Juergen F.
    Sandbrink, Rupert
    Tyblova, Michaela
    Lelkova, Petra
    Havrdova, Eva
    Pohl, Christoph
    Horakova, Dana
    Ascherio, Alberto
    Hafler, David A.
    Karlson, Elizabeth W.
    [J]. LANCET NEUROLOGY, 2009, 8 (12) : 1111 - 1119