Integrative genomic analyses reveal mechanisms of glucocorticoid resistance in acute lymphoblastic leukemia.
Journal
Nature cancer
ISSN: 2662-1347
Titre abrégé: Nat Cancer
Pays: England
ID NLM: 101761119
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
entrez:
5
9
2020
pubmed:
5
9
2020
medline:
5
9
2020
Statut:
ppublish
Résumé
Identification of genomic and epigenomic determinants of drug resistance provides important insights for improving cancer treatment. Using agnostic genome-wide interrogation of mRNA and miRNA expression, DNA methylation, SNPs, CNAs and SNVs/Indels in primary human acute lymphoblastic leukemia cells, we identified 463 genomic features associated with glucocorticoid resistance. Gene-level aggregation identified 118 overlapping genes, 15 of which were confirmed by genome-wide CRISPR screen. Collectively, this identified 30 of 38 (79%) known glucocorticoid-resistance genes/miRNAs and all 38 known resistance pathways, while revealing 14 genes not previously associated with glucocorticoid-resistance. Single cell RNAseq and network-based transcriptomic modelling corroborated the top previously undiscovered gene, CELSR2. Manipulation of CELSR2 recapitulated glucocorticoid resistance in human leukemia cell lines and revealed a synergistic drug combination (prednisolone and venetoclax) that mitigated resistance in mouse xenograft models. These findings illustrate the power of an integrative genomic strategy for elucidating genes and pathways conferring drug resistance in cancer cells.
Identifiants
pubmed: 32885175
doi: 10.1038/s43018-020-0037-3
pmc: PMC7467080
mid: NIHMS1614339
pii: 10.1038/s43018-020-0037-3
doi:
Substances chimiques
Glucocorticoids
0
MicroRNAs
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
329-344Subventions
Organisme : NCI NIH HHS
ID : R25 CA023944
Pays : United States
Organisme : NCI NIH HHS
ID : DP2 CA239145
Pays : United States
Organisme : NCI NIH HHS
ID : L40 CA162153
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA036401
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA180820
Pays : United States
Organisme : NIGMS NIH HHS
ID : P50 GM115279
Pays : United States
Déclaration de conflit d'intérêts
Competing Interests The authors declare no competing interests.
Références
Pieters, R. et al. Relation of cellular drug resistance to long-term clinical outcome in childhood acute lymphoblastic leukaemia. Lancet 338, 399–403 (1991).
pubmed: 1678081
doi: 10.1016/0140-6736(91)91029-T
Pui, C. H. & Evans, W. E. A 50-year journey to cure childhood acute lymphoblastic leukemia. Semin. Hematol. 50, 185–196 (2013).
pubmed: 23953334
pmcid: 3771494
doi: 10.1053/j.seminhematol.2013.06.007
Pui, C. H. & Evans, W. E. Acute lymphoblastic leukemia. N. Engl. J. Med. 339, 605–615 (1998).
pubmed: 9718381
doi: 10.1056/NEJM199808273390907
Pui, C. H. & Evans, W. E. Treatment of acute lymphoblastic leukemia. N. Engl. J. Med. 354, 166–178 (2006).
pubmed: 16407512
doi: 10.1056/NEJMra052603
Clavell, L. A. et al. Four-agent induction and intensive asparaginase therapy for treatment of childhood acute lymphoblastic leukemia. N. Engl. J. Med. 315, 657–663 (1986).
pubmed: 2943992
doi: 10.1056/NEJM198609113151101
Rhen, T. & Cidlowski, J. A. Antiinflammatory action of glucocorticoids-new mechanisms for old drugs. N. Engl. J. Med. 353, 1711–1723 (2005).
pubmed: 16236742
doi: 10.1056/NEJMra050541
Dordelmann, M. et al. Prednisone response is the strongest predictor of treatment outcome in infant acute lymphoblastic leukemia. Blood 94, 1209–1217 (1999).
pubmed: 10438708
doi: 10.1182/blood.V94.4.1209
Boer, M. L. D. et al. Patient stratification based on prednisolone–vincristine–asparaginase resistance profiles in children with acute lymphoblastic leukemia. J. Clin. Oncol. 21, 3262–3268 (2003).
doi: 10.1200/JCO.2003.11.031
Kaspers, G. J. et al. In vitro cellular drug resistance and prognosis in newly diagnosed childhood acute lymphoblastic leukemia. Blood 90, 2723–2729 (1997).
pubmed: 9326239
doi: 10.1182/blood.V90.7.2723
Schmidt, S. et al. Glucocorticoid-induced apoptosis and glucocorticoid resistance: molecular mechanisms and clinical relevance. Cell Death Differ. 11(Suppl 1), S45–S55 (2004).
pubmed: 15243581
doi: 10.1038/sj.cdd.4401456
Inaba, H. & Pui, C. H. Glucocorticoid use in acute lymphoblastic leukaemia. Lancet Oncol. 11, 1096–1106 (2010).
pubmed: 20947430
pmcid: 3309707
doi: 10.1016/S1470-2045(10)70114-5
Bachmann, P. S. et al. Divergent mechanisms of glucocorticoid resistance in experimental models of pediatric acute lymphoblastic leukemia. Cancer Res. 67, 4482–4490 (2007).
pubmed: 17483364
doi: 10.1158/0008-5472.CAN-06-4244
Song, Q.-Q., Xie, W.-Y., Tang, Y.-J., Zhang, J. & Liu, J. Genetic variation in the glucocorticoid pathway involved in interindividual differences in the glucocorticoid treatment. Pharmacogenomics 18, 293–316 (2017).
pubmed: 28112586
doi: 10.2217/pgs-2016-0151
Downing, J. R. et al. The pediatric cancer genome project. Nat. Genet. 44, 619–622 (2012).
pubmed: 22641210
pmcid: 3619412
doi: 10.1038/ng.2287
Paugh, S. W. et al. NALP3 inflammasome upregulation and CASP1 cleavage of the glucocorticoid receptor cause glucocorticoid resistance in leukemia cells. Nat. Genet. 47, 607–614 (2015).
pubmed: 25938942
pmcid: 4449308
doi: 10.1038/ng.3283
Campana, D. Minimal residual disease in acute lymphoblastic leukemia. Semin. Hematol. 46, 100–106 (2009).
pubmed: 19100372
pmcid: 2632881
doi: 10.1053/j.seminhematol.2008.09.001
Cave, H. et al. Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia. European Organization for Research and Treatment of Cancer—Childhood Leukemia Cooperative Group. N. Engl. J. Med. 339, 591–598 (1998).
pubmed: 9718378
doi: 10.1056/NEJM199808273390904
Pui, C. H. et al. Clinical impact of minimal residual disease in children with different subtypes of acute lymphoblastic leukemia treated with response-adapted therapy. Leukemia 31, 333–339 (2017).
pubmed: 27560110
doi: 10.1038/leu.2016.234
Pottier, N. et al. The SWI/SNF chromatin-remodeling complex and glucocorticoid resistance in acute lymphoblastic leukemia. J. Natl Cancer Instit. 100, 1792–1803 (2008).
doi: 10.1093/jnci/djn416
Sanjana, N. E., Shalem, O. & Zhang, F. Improved vectors and genome-wide libraries for CRISPR screening. Nat. Methods 11, 783–784 (2014).
pubmed: 25075903
pmcid: 4486245
doi: 10.1038/nmeth.3047
Rogatsky, I., Hittelman, A. B., Pearce, D. & Garabedian, M. J. Distinct glucocorticoid receptor transcriptional regulatory surfaces mediate the cytotoxic and cytostatic effects of glucocorticoids. Mol. Cell Biol. 19, 5036–5049 (1999).
pubmed: 10373553
pmcid: 84339
doi: 10.1128/MCB.19.7.5036
Heidari, N., Miller, A. V., Hicks, M. A., Marking, C. B. & Harada, H. Glucocorticoid-mediated BIM induction and apoptosis are regulated by Runx2 and c-Jun in leukemia cells. Cell Death Dis. 3, e349 (2012).
pubmed: 22825467
pmcid: 3406588
doi: 10.1038/cddis.2012.89
Lochmann, T. L., Bouck, Y. M. & Faber, A. C. BCL-2 inhibition is a promising therapeutic strategy for small cell lung cancer. Oncoscience 5, 218–219 (2018).
pubmed: 30234143
pmcid: 6142900
doi: 10.18632/oncoscience.455
Pham, L. V. et al. Strategic therapeutic targeting to overcome venetoclax resistance in aggressive B-cell lymphomas. Clin. Cancer Res. 24, 3967 (2018).
pubmed: 29666304
doi: 10.1158/1078-0432.CCR-17-3004
Du, X. et al. Hippo/Mst signaling couples metabolic state and function of CD8α
Ma, X. et al. Pan-cancer genome and transcriptome analyses of 1,699 paediatric leukaemias and solid tumours. Nature 555, 371–376 (2018).
pubmed: 29489755
pmcid: 5854542
doi: 10.1038/nature25795
Jing, D. et al. Lymphocyte-specific chromatin accessibility pre-determines glucocorticoid resistance in acute lymphoblastic leukemia. Cancer Cell 34, 906–921 (2018). e908.
pubmed: 30537513
doi: 10.1016/j.ccell.2018.11.002
Jing, D. et al. Opposing regulation of BIM and BCL2 controls glucocorticoid-induced apoptosis of pediatric acute lymphoblastic leukemia cells. Blood 125, 273–283 (2015).
pubmed: 25336632
doi: 10.1182/blood-2014-05-576470
Consortium, E. P. An integrated encyclopedia of DNA elements in the human genome. Nature 489, 57–74 (2012).
doi: 10.1038/nature11247
Sugimura, R. et al. Noncanonical Wnt signaling maintains hematopoietic stem cells in the niche. Cell 150, 351–365 (2012).
pubmed: 22817897
pmcid: 4492542
doi: 10.1016/j.cell.2012.05.041
Presul, E., Schmidt, S., Kofler, R. & Helmberg, A. Identification, tissue expression, and glucocorticoid responsiveness of alternative first exons of the human glucocorticoid receptor. J. Mol. Endocrinol. 38, 79–90 (2007).
pubmed: 17242171
doi: 10.1677/jme.1.02183
Pui, C. H., Ochs, J., Kalwinsky, D. K. & Costlow, M. E. Impact of treatment efficacy on the prognostic value of glucocorticoid receptor levels in childhood acute lymphoblastic leukemia. Leuk. Res. 8, 345–350 (1984).
pubmed: 6379308
doi: 10.1016/0145-2126(84)90073-0
Irving, J. A., Minto, L., Bailey, S. & Hall, A. G. Loss of heterozygosity and somatic mutations of the glucocorticoid receptor gene are rarely found at relapse in pediatric acute lymphoblastic leukemia but may occur in a subpopulation early in the disease course. Cancer Res. 65, 9712–9718 (2005).
pubmed: 16266991
doi: 10.1158/0008-5472.CAN-05-1227
Tremblay, C. S. et al. Loss-of-function mutations of Dynamin 2 promote T-ALL by enhancing IL-7 signalling. Leukemia 30, 1993–2001 (2016).
pubmed: 27118408
doi: 10.1038/leu.2016.100
Li, Y. et al. IL-7 receptor mutations and steroid resistance in pediatric T cell acute lymphoblastic leukemia: a genome sequencing study. PLoS Med. 13, e1002200 (2016).
pubmed: 27997540
pmcid: 5172551
doi: 10.1371/journal.pmed.1002200
Delgado-Martin, C. et al. JAK/STAT pathway inhibition overcomes IL7-induced glucocorticoid resistance in a subset of human T-cell acute lymphoblastic leukemias. Leukemia 31, 2568–2576 (2017).
pubmed: 28484265
pmcid: 5729333
doi: 10.1038/leu.2017.136
Oppermann, S. et al. Janus and PI3-kinases mediate glucocorticoid resistance in activated chronic leukemia cells. Oncotarget 7, 72608–72621 (2016).
pubmed: 27579615
pmcid: 5341931
doi: 10.18632/oncotarget.11618
Kruth, K. A. et al. Suppression of B-cell development genes is key to glucocorticoid efficacy in treatment of acute lymphoblastic leukemia. Blood 129, 3000–3008 (2017).
pubmed: 28424165
pmcid: 5454339
doi: 10.1182/blood-2017-02-766204
Wei, G. et al. Gene expression-based chemical genomics identifies rapamycin as a modulator of MCL1 and glucocorticoid resistance. Cancer Cell 10, 331–342 (2006).
pubmed: 17010674
doi: 10.1016/j.ccr.2006.09.006
Bonapace, L. et al. Induction of autophagy-dependent necroptosis is required for childhood acute lymphoblastic leukemia cells to overcome glucocorticoid resistance. J. Clin. Invest. 120, 1310–1323 (2010).
pubmed: 20200450
pmcid: 2846044
doi: 10.1172/JCI39987
Piovan, E. et al. Direct reversal of glucocorticoid resistance by AKT inhibition in acute lymphoblastic leukemia. Cancer Cell 24, 766–776 (2013).
pubmed: 24291004
doi: 10.1016/j.ccr.2013.10.022
Nicholson, L. et al. Quantitative proteomic analysis reveals maturation as a mechanism underlying glucocorticoid resistance in B lineage ALL and re-sensitization by JNK inhibition. Br. J. Haematol. 171, 595–605 (2015).
pubmed: 26310606
pmcid: 4833193
doi: 10.1111/bjh.13647
Chan, L. N. et al. Metabolic gatekeeper function of B-lymphoid transcription factors. Nature 542, 479–483 (2017).
pubmed: 28192788
pmcid: 5621518
doi: 10.1038/nature21076
Jones, C. L. et al. Loss of TBL1XR1 disrupts glucocorticoid receptor recruitment to chromatin and results in glucocorticoid resistance in a B-lymphoblastic leukemia model. J. Biol. Chem. 289, 20502–20515 (2014).
pubmed: 24895125
pmcid: 4110265
doi: 10.1074/jbc.M114.569889
Jones, C. L. et al. MAPK signaling cascades mediate distinct glucocorticoid resistance mechanisms in pediatric leukemia. Blood 126, 2202–2212 (2015).
pubmed: 26324703
pmcid: 4635116
doi: 10.1182/blood-2015-04-639138
Hosono, N. et al. Glutathione S-transferase M1 inhibits dexamethasone-induced apoptosis in association with the suppression of Bim through dual mechanisms in a lymphoblastic leukemia cell line. Cancer Sci. 101, 767–773 (2010).
pubmed: 20067466
doi: 10.1111/j.1349-7006.2009.01432.x
Kotani, A. et al. miR-128b is a potent glucocorticoid sensitizer in MLL-AF4 acute lymphocytic leukemia cells and exerts cooperative effects with miR-221. Blood 114, 4169–4178 (2009).
pubmed: 19749093
pmcid: 2774553
doi: 10.1182/blood-2008-12-191619
Han, B. W. et al. A set of miRNAs that involve in the pathways of drug resistance and leukemic stem-cell differentiation is associated with the risk of relapse and glucocorticoid response in childhood ALL. Hum. Mol. Genet. 20, 4903–4915 (2011).
pubmed: 21926415
pmcid: 3221537
doi: 10.1093/hmg/ddr428
Zhao, J. J. et al. Targeting the miR-221-222/PUMA/BAK/BAX pathway abrogates dexamethasone resistance in multiple myeloma. Cancer Res. 75, 4384–4397 (2015).
pubmed: 26249174
pmcid: 4609291
doi: 10.1158/0008-5472.CAN-15-0457
Spijkers-Hagelstein, J. A., Mimoso Pinhancos, S., Schneider, P., Pieters, R. & Stam, R. W. Src kinase-induced phosphorylation of annexin A2 mediates glucocorticoid resistance in MLL-rearranged infant acute lymphoblastic leukemia. Leukemia 27, 1063–1071 (2013).
pubmed: 23334362
doi: 10.1038/leu.2012.372
Spijkers-Hagelstein, J. A. et al. Elevated S100A8/S100A9 expression causes glucocorticoid resistance in MLL-rearranged infant acute lymphoblastic leukemia. Leukemia 26, 1255–1265 (2012).
pubmed: 22282267
doi: 10.1038/leu.2011.388
Aries, I. M. et al. EMP1, a novel poor prognostic factor in pediatric leukemia regulates prednisolone resistance, cell proliferation, migration and adhesion. Leukemia 28, 1828–1837 (2014).
pubmed: 24625531
doi: 10.1038/leu.2014.80
Yang, J. J. et al. Genome-wide association study identifies germline polymorphisms associated with relapse of childhood acute lymphoblastic leukemia. Blood 120, 4197–4204 (2012).
pubmed: 23007406
pmcid: 3501717
doi: 10.1182/blood-2012-07-440107
Meyers, J. A., Taverna, J., Chaves, J., Makkinje, A. & Lerner, A. Phosphodiesterase 4 inhibitors augment levels of glucocorticoid receptor in B cell chronic lymphocytic leukemia but not in normal circulating hematopoietic cells. Clin. Cancer Res. 13, 4920–4927 (2007).
pubmed: 17699872
pmcid: 2656255
doi: 10.1158/1078-0432.CCR-07-0276
Zhou, M. et al. Targeting of the deubiquitinase USP9X attenuates B-cell acute lymphoblastic leukemia cell survival and overcomes glucocorticoid resistance. Biochem. Biophys. Res. Commun. 459, 333–339 (2015).
pubmed: 25735983
doi: 10.1016/j.bbrc.2015.02.115
Rocha, J. C. et al. Pharmacogenetics of outcome in children with acute lymphoblastic leukemia. Blood 105, 4752–4758 (2005).
pubmed: 15713801
pmcid: 1895006
doi: 10.1182/blood-2004-11-4544
Mullighan, C. G. et al. CREBBP mutations in relapsed acute lymphoblastic leukaemia. Nature 471, 235–239 (2011).
pubmed: 21390130
pmcid: 3076610
doi: 10.1038/nature09727
Malyukova, A. et al. FBXW7 regulates glucocorticoid response in T-cell acute lymphoblastic leukaemia by targeting the glucocorticoid receptor for degradation. Leukemia 27, 1053–1062 (2013).
pubmed: 23228967
doi: 10.1038/leu.2012.361
Park, H. W. et al. Alternative Wnt signaling activates YAP/TAZ. Cell 162, 780–794 (2015).
pubmed: 26276632
pmcid: 4538707
doi: 10.1016/j.cell.2015.07.013
Cortijo, C., Gouzi, M., Tissir, F. & Grapin-Botton, A. Planar cell polarity controls pancreatic beta cell differentiation and glucose homeostasis. Cell Rep. 2, 1593–1606 (2012).
pubmed: 23177622
pmcid: 3606931
doi: 10.1016/j.celrep.2012.10.016
Cabral, A. L., Hays, A. N., Housley, P. R., Brentani, M. M. & Martins, V. R. Repression of glucocorticoid receptor gene transcription by c-Jun. Mol. Cell Endocrinol. 175, 67–79 (2001).
pubmed: 11325517
doi: 10.1016/S0303-7207(01)00396-3
Holleman, A. et al. Gene-expression patterns in drug-resistant acute lymphoblastic leukemia cells and response to treatment. NJEM 351, 533–542 (2004).
doi: 10.1056/NEJMoa033513
Coustan-Smith, E. et al. New markers for minimal residual disease detection in acute lymphoblastic leukemia. Blood 117, 6267–6276 (2011).
pubmed: 21487112
pmcid: 3122946
doi: 10.1182/blood-2010-12-324004
Cheok, M. H. et al. Treatment-specific changes in gene expression discriminate in vivo drug response in human leukemia cells. Nat. Genet. 34, 85–90 (2003).
pubmed: 12704389
doi: 10.1038/ng1151
Yeoh, E. J. et al. Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. Cancer Cell 1, 133–143 (2002).
pubmed: 12086872
doi: 10.1016/S1535-6108(02)00032-6
Kuan, P. F., Wang, S., Zhou, X. & Chu, H. A statistical framework for Illumina DNA methylation arrays. Bioinformatics 26, 2849–2855 (2010).
pubmed: 20880956
pmcid: 3025715
doi: 10.1093/bioinformatics/btq553
French, D. et al. Acquired variation outweighs inherited variation in whole genome analysis of methotrexate polyglutamate accumulation in leukemia. Blood 113, 4512–4520 (2009).
pubmed: 19066393
pmcid: 2680361
doi: 10.1182/blood-2008-07-172106
Paugh, S. W. et al. MicroRNAs form triplexes with double stranded DNA at sequence-specific binding sites; a eukaryotic mechanism via which microRNAs could directly alter gene expression. PLoS Comput. Biol. 12, e1004744 (2016).
pubmed: 26844769
pmcid: 4742280
doi: 10.1371/journal.pcbi.1004744
Zhang, J. et al. The genetic basis of early T-cell precursor acute lymphoblastic leukaemia. Nature 481, 157–163 (2012).
pubmed: 22237106
pmcid: 3267575
doi: 10.1038/nature10725
Liu, Y. et al. The genomic landscape of pediatric and young adult T-lineage acute lymphoblastic leukemia. Nat. Genet. 49, 1211 (2017).
pubmed: 28671688
pmcid: 5535770
doi: 10.1038/ng.3909
Shalem, O. et al. Genome-scale CRISPR-Cas9 knockout screening in human cells. Science 343, 84–87 (2014).
doi: 10.1126/science.1247005
pubmed: 24336571
Li, W. et al. MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens. Genome Biol. 15, 554 (2014).
pubmed: 25476604
pmcid: 4290824
doi: 10.1186/s13059-014-0554-4
Li, W. et al. Quality control, modeling, and visualization of CRISPR screens with MAGeCK-VISPR. Genome Biol. 16, 281 (2015).
pubmed: 26673418
pmcid: 4699372
doi: 10.1186/s13059-015-0843-6
Cheng, C. & Parzen, E. Unified estimators of smooth quantile and quantile density functions. J. Stat. Plan. Infer. 59, 291–307 (1997).
doi: 10.1016/S0378-3758(96)00110-3
De Vore, R. A. The Approximation of Continuous Functions by Positive Linear Operators (Springer-Verlag, 1972).
Cheng, C. in Optimality, Vol. 49, Lecture Notes—Monograph Series (ed. Rojo, J.) 51–76 (Institute of Mathematical Statistics, 2006).
Maaten, L. V. D. Accelerating t-SNE using tree-based algorithms. J. Machine Learn. Res. 115, 3221–3245 (2014).
Macosko, E. Z. et al. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets. Cell 161, 1202–1214 (2015).
pubmed: 26000488
pmcid: 4481139
doi: 10.1016/j.cell.2015.05.002
Ward, J. H. Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 58, 236–244 (1963).
doi: 10.1080/01621459.1963.10500845
Savic, D. et al. Distinct gene regulatory programs define the inhibitory effects of liver X receptors and PPARG on cancer cell proliferation. Genome Med. 8, 74 (2016).
pubmed: 27401066
pmcid: 4940857
doi: 10.1186/s13073-016-0328-6
Corces, M. R. et al. Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution. Nat. Genet. 48, 1193–1203 (2016).
pubmed: 27526324
pmcid: 5042844
doi: 10.1038/ng.3646
Khaw, S. L. et al. Venetoclax responses of pediatric ALL xenografts reveal sensitivity of MLL-rearranged leukemia. Blood 128, 1382–1395 (2016).
pubmed: 27343252
pmcid: 5016707
doi: 10.1182/blood-2016-03-707414