Chromatin mapping and single-cell immune profiling define the temporal dynamics of ibrutinib response in CLL.
Adenine
/ analogs & derivatives
Agammaglobulinaemia Tyrosine Kinase
/ drug effects
Chromatin
/ genetics
Epigenome
Epigenomics
Gene Expression Profiling
Genetic Heterogeneity
/ drug effects
Humans
Leukemia, Lymphocytic, Chronic, B-Cell
/ drug therapy
Machine Learning
Piperidines
Pyrazoles
/ antagonists & inhibitors
Pyrimidines
/ antagonists & inhibitors
Receptors, Antigen, B-Cell
/ drug effects
Sequence Analysis, RNA
Transcription Factors
Transcriptome
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
29 Jan 2020
29 Jan 2020
Historique:
received:
01
04
2019
accepted:
11
12
2019
entrez:
31
1
2020
pubmed:
31
1
2020
medline:
23
2
2020
Statut:
epublish
Résumé
The Bruton tyrosine kinase (BTK) inhibitor ibrutinib provides effective treatment for patients with chronic lymphocytic leukemia (CLL), despite extensive heterogeneity in this disease. To define the underlining regulatory dynamics, we analyze high-resolution time courses of ibrutinib treatment in patients with CLL, combining immune-phenotyping, single-cell transcriptome profiling, and chromatin mapping. We identify a consistent regulatory program starting with a sharp decrease of NF-κB binding in CLL cells, which is followed by reduced activity of lineage-defining transcription factors, erosion of CLL cell identity, and acquisition of a quiescence-like gene signature. We observe patient-to-patient variation in the speed of execution of this program, which we exploit to predict patient-specific dynamics in the response to ibrutinib based on the pre-treatment patient samples. In aggregate, our study describes time-dependent cellular, molecular, and regulatory effects for therapeutic inhibition of B cell receptor signaling in CLL, and it establishes a broadly applicable method for epigenome/transcriptome-based treatment monitoring.
Identifiants
pubmed: 31996669
doi: 10.1038/s41467-019-14081-6
pii: 10.1038/s41467-019-14081-6
pmc: PMC6989523
doi:
Substances chimiques
Chromatin
0
Piperidines
0
Pyrazoles
0
Pyrimidines
0
Receptors, Antigen, B-Cell
0
Transcription Factors
0
ibrutinib
1X70OSD4VX
Agammaglobulinaemia Tyrosine Kinase
EC 2.7.10.2
Adenine
JAC85A2161
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
577Subventions
Organisme : Austrian Science Fund FWF
ID : M 2403
Pays : Austria
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
ID : 679146
Références
Byrd, J. C., Stilgenbauer, S. & Flinn, I. W. Chronic lymphocytic leukemia. Hematol. Am. Soc. Hematol. Educ. Prog. 163–183 (2004).
Stevenson, F. K., Krysov, S., Davies, A. J., Steele, A. J. & Packham, G. B-cell receptor signaling in chronic lymphocytic leukemia. Blood 118, 4313–4320 (2011).
pubmed: 21816833
doi: 10.1182/blood-2011-06-338855
pmcid: 21816833
Puente, X. S. et al. Whole-genome sequencing identifies recurrent mutations in chronic lymphocytic leukaemia. Nature 475, 101–105 (2011).
pubmed: 21642962
pmcid: 3322590
doi: 10.1038/nature10113
Quesada, V. et al. Exome sequencing identifies recurrent mutations of the splicing factor SF3B1 gene in chronic lymphocytic leukemia. Nat. Genet. 44, 47–52 (2011).
pubmed: 22158541
doi: 10.1038/ng.1032
pmcid: 22158541
Puente, X. S. et al. Non-coding recurrent mutations in chronic lymphocytic leukaemia. Nature 526, 519–524 (2015).
pubmed: 26200345
doi: 10.1038/nature14666
Quesada, V. et al. The genomic landscape of chronic lymphocytic leukemia: clinical implications. BMC Med. 11, 124 (2013).
pubmed: 23656622
pmcid: 3655884
doi: 10.1186/1741-7015-11-124
Klein, U. et al. Gene expression profiling of B cell chronic lymphocytic leukemia reveals a homogeneous phenotype related to memory B cells. J. Exp. Med. 194, 1625–1638 (2001).
pubmed: 11733577
pmcid: 2193527
doi: 10.1084/jem.194.11.1625
Rosenwald, A. et al. Relation of gene expression phenotype to immunoglobulin mutation genotype in B cell chronic lymphocytic leukemia. J. Exp. Med. 194, 1639–1647 (2001).
pubmed: 11733578
pmcid: 2193523
doi: 10.1084/jem.194.11.1639
Ferreira, P. G. et al. Transcriptome characterization by RNA sequencing identifies a major molecular and clinical subdivision in chronic lymphocytic leukemia. Genome Res. 24, 212–226 (2014).
pubmed: 24265505
pmcid: 3912412
doi: 10.1101/gr.152132.112
Kulis, M. et al. Epigenomic analysis detects widespread gene-body DNA hypomethylation in chronic lymphocytic leukemia. Nat. Genet. 44, 1236–1242 (2012).
pubmed: 23064414
doi: 10.1038/ng.2443
pmcid: 23064414
Oakes, C. C. et al. DNA methylation dynamics during B cell maturation underlie a continuum of disease phenotypes in chronic lymphocytic leukemia. Nat. Genet. 48, 253–264 (2016).
pubmed: 26780610
pmcid: 4963005
doi: 10.1038/ng.3488
Oakes, C. C. et al. Evolution of DNA methylation is linked to genetic aberrations in chronic lymphocytic leukemia. Cancer Discov. 4, 348–361 (2014).
pubmed: 24356097
doi: 10.1158/2159-8290.CD-13-0349
pmcid: 24356097
Rendeiro, A. F. et al. Chromatin accessibility maps of chronic lymphocytic leukaemia identify subtype-specific epigenome signatures and transcription regulatory networks. Nat. Commun. 7, 11938 (2016).
pubmed: 27346425
pmcid: 5494194
doi: 10.1038/ncomms11938
Byrd, J. C., O’Brien, S. & James, D. F. Ibrutinib in relapsed chronic lymphocytic leukemia. N. Engl. J. Med. 369, 1278–1279 (2013).
pubmed: 24066758
doi: 10.1056/NEJMoa1215637
pmcid: 24066758
Moreno, C. et al. Ibrutinib plus obinutuzumab versus chlorambucil plus obinutuzumab in first-line treatment of chronic lymphocytic leukaemia (iLLUMINATE): a multicentre, randomised, open-label, phase 3 trial. Lancet Oncol. 20, 43–56 (2019).
pubmed: 30522969
doi: 10.1016/S1470-2045(18)30788-5
pmcid: 30522969
O’Brien, S. et al. Single-agent ibrutinib in treatment-naive and relapsed/refractory chronic lymphocytic leukemia: a 5-year experience. Blood 131, 1910–1919 (2018).
pubmed: 29437592
pmcid: 5921964
doi: 10.1182/blood-2017-10-810044
O’Brien, S. et al. Ibrutinib as initial therapy for elderly patients with chronic lymphocytic leukaemia or small lymphocytic lymphoma: an open-label, multicentre, phase 1b/2 trial. Lancet Oncol. 15, 48–58 (2014).
pubmed: 24332241
doi: 10.1016/S1470-2045(13)70513-8
pmcid: 24332241
Woyach, J. A. et al. Ibrutinib regimens versus chemoimmunotherapy in older patients with untreated CLL. N. Engl. J. Med. 379, 2517–2528 (2018).
pubmed: 30501481
pmcid: 6325637
doi: 10.1056/NEJMoa1812836
Ponader, S. et al. The Bruton tyrosine kinase inhibitor PCI-32765 thwarts chronic lymphocytic leukemia cell survival and tissue homing in vitro and in vivo. Blood 119, 1182–1189 (2012).
pubmed: 22180443
pmcid: 4916557
doi: 10.1182/blood-2011-10-386417
Woyach, J. A. et al. Prolonged lymphocytosis during ibrutinib therapy is associated with distinct molecular characteristics and does not indicate a suboptimal response to therapy. Blood 123, 1810–1817 (2014).
pubmed: 24415539
pmcid: 3962160
doi: 10.1182/blood-2013-09-527853
Long, M. et al. Ibrutinib treatment improves T cell number and function in CLL patients. J. Clin. Invest. 127, 3052–3064 (2017).
pubmed: 28714866
pmcid: 5531425
doi: 10.1172/JCI89756
Sagiv-Barfi, I. et al. Therapeutic antitumor immunity by checkpoint blockade is enhanced by ibrutinib, an inhibitor of both BTK and ITK. Proc. Natl Acad. Sci. USA 112, E966–E972 (2015).
pubmed: 25730880
doi: 10.1073/pnas.1500712112
Kondo, K. et al. Ibrutinib modulates the immunosuppressive CLL microenvironment through STAT3-mediated suppression of regulatory B-cell function and inhibition of the PD-1/PD-L1 pathway. Leukemia 32, 960–970 (2018).
pubmed: 28972595
doi: 10.1038/leu.2017.304
Burger, J. A. et al. Safety and activity of ibrutinib plus rituximab for patients with high-risk chronic lymphocytic leukaemia: a single-arm, phase 2 study. Lancet Oncol. 15, 1090–1099 (2014).
pubmed: 25150798
pmcid: 4174348
doi: 10.1016/S1470-2045(14)70335-3
Herman, S. E. et al. Ibrutinib inhibits BCR and NF-kappaB signaling and reduces tumor proliferation in tissue-resident cells of patients with CLL. Blood 123, 3286–3295 (2014).
pubmed: 24659631
pmcid: 4046423
doi: 10.1182/blood-2014-02-548610
Landau, D. A. et al. The evolutionary landscape of chronic lymphocytic leukemia treated with ibrutinib targeted therapy. Nat. Commun. 8, 2185 (2017).
pubmed: 29259203
pmcid: 5736707
doi: 10.1038/s41467-017-02329-y
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y. & Greenleaf, W. J. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat. Methods 10, 1213–1218 (2013).
pubmed: 24097267
pmcid: 3959825
doi: 10.1038/nmeth.2688
Zheng, G. X. et al. Massively parallel digital transcriptional profiling of single cells. Nat. Commun. 8, 14049 (2017).
pubmed: 28091601
pmcid: 5241818
doi: 10.1038/ncomms14049
Vojdeman, F. J. et al. Soluble CD52 is an indicator of disease activity in chronic lymphocytic leukemia. Leuk. Lymphoma 58, 2356–2362 (2017).
pubmed: 28278728
pmcid: 6441671
doi: 10.1080/10428194.2017.1285027
Borst, J., Hendriks, J. & Xiao, Y. CD27 and CD70 in T cell and B cell activation. Curr. Opin. Immunol. 17, 275–281 (2005).
pubmed: 15886117
doi: 10.1016/j.coi.2005.04.004
pmcid: 15886117
Rasmussen, C. E. & Williams, C. K. I. Gaussian Processes for Machine Learning (MIT Press, Cambridge, 2006).
Sheffield, N. C. & Bock, C. LOLA: enrichment analysis for genomic region sets and regulatory elements in R and Bioconductor. Bioinformatics 32, 587–589 (2016).
pubmed: 26508757
doi: 10.1093/bioinformatics/btv612
pmcid: 26508757
Bonadies, N. et al. PU.1 is regulated by NF-kappaB through a novel binding site in a 17 kb upstream enhancer element. Oncogene 29, 1062–1072 (2010).
pubmed: 19966852
doi: 10.1038/onc.2009.371
pmcid: 19966852
Grumont, R. J. & Gerondakis, S. Rel induces interferon regulatory factor 4 (IRF-4) expression in lymphocytes: modulation of interferon-regulated gene expression by rel/nuclear factor kappaB. J. Exp. Med. 191, 1281–1292 (2000).
pubmed: 10770796
pmcid: 2193138
doi: 10.1084/jem.191.8.1281
Saito, M. et al. A signaling pathway mediating downregulation of BCL6 in germinal center B cells is blocked by BCL6 gene alterations in B cell lymphoma (vol 12, pg 280, 2007). Cancer Cell 12, 403–403 (2007).
doi: 10.1016/j.ccr.2007.09.025
Kaszubska, W. et al. Cyclic AMP-independent ATF family members interact with NF-kappa B and function in the activation of the E-selectin promoter in response to cytokines. Mol. Cell Biol. 13, 7180–7190 (1993).
pubmed: 7692236
pmcid: 364779
doi: 10.1128/MCB.13.11.7180
Nie, Y., Han, Y. C. & Zou, Y. R. CXCR4 is required for the quiescence of primitive hematopoietic cells. J. Exp. Med. 205, 777–783 (2008).
pubmed: 18378795
pmcid: 2292218
doi: 10.1084/jem.20072513
Sugiyama, T., Kohara, H., Noda, M. & Nagasawa, T. Maintenance of the hematopoietic stem cell pool by CXCL12-CXCR4 chemokine signaling in bone marrow stromal cell niches. Immunity 25, 977–988 (2006).
pubmed: 17174120
doi: 10.1016/j.immuni.2006.10.016
pmcid: 17174120
Galloway, A. et al. RNA-binding proteins ZFP36L1 and ZFP36L2 promote cell quiescence. Science 352, 453–459 (2016).
pubmed: 27102483
doi: 10.1126/science.aad5978
pmcid: 27102483
Aird, K. M. et al. HMGB2 orchestrates the chromatin landscape of senescence-associated secretory phenotype gene loci. J. Cell Biol. 215, 325–334 (2016).
pubmed: 27799366
pmcid: 5100296
doi: 10.1083/jcb.201608026
Galicia-Vazquez, G. & Aloyz, R. Ibrutinib resistance is reduced by an inhibitor of fatty acid oxidation in primary CLL lymphocytes. Front Oncol. 8, 411 (2018).
pubmed: 30319974
pmcid: 6168640
doi: 10.3389/fonc.2018.00411
Zhang, L. et al. Metabolic reprogramming toward oxidative phosphorylation identifies a therapeutic target for mantle cell lymphoma. Sci. Transl. Med. 11, eaau1167 (2019).
pubmed: 31068440
doi: 10.1126/scitranslmed.aau1167
Byrd, J. C. et al. Acalabrutinib (ACP-196) in relapsed chronic lymphocytic leukemia. N. Engl. J. Med. 374, 323–332 (2016).
pubmed: 26641137
doi: 10.1056/NEJMoa1509981
ten Hacken, E. & Burger, J. A. Microenvironment dependency in chronic lymphocytic leukemia: the basis for new targeted therapies. Pharm. Ther. 144, 338–348 (2014).
doi: 10.1016/j.pharmthera.2014.07.003
Ghez, D. et al. Early-onset invasive aspergillosis and other fungal infections in patients treated with ibrutinib. Blood 131, 1955–1959 (2018).
pubmed: 29437588
doi: 10.1182/blood-2017-11-818286
Tillman, B. F., Pauff, J. M., Satyanarayana, G., Talbott, M. & Warner, J. L. Systematic review of infectious events with the Bruton tyrosine kinase inhibitor ibrutinib in the treatment of hematologic malignancies. Eur. J. Haematol. 100, 325–334 (2018).
pubmed: 29285806
doi: 10.1111/ejh.13020
Varughese, T. et al. Serious infections in patients receiving Ibrutinib for treatment of lymphoid cancer. Clin. Infect. Dis. 67, 687–692 (2018).
pubmed: 29509845
pmcid: 6093991
doi: 10.1093/cid/ciy175
Pettersen, R. D., Bernard, G., Olafsen, M. K., Pourtein, M. & Lie, S. O. CD99 signals caspase-independent T cell death. J. Immunol. 166, 4931–4942 (2001).
pubmed: 11290771
doi: 10.4049/jimmunol.166.8.4931
Jung, K. C., Kim, N. H., Park, W. S., Park, S. H. & Bae, Y. The CD99 signal enhances Fas-mediated apoptosis in the human leukemic cell line, Jurkat. FEBS Lett. 554, 478–484 (2003).
pubmed: 14623115
doi: 10.1016/S0014-5793(03)01224-9
Chen, S. S. et al. BTK inhibition results in impaired CXCR4 chemokine receptor surface expression, signaling and function in chronic lymphocytic leukemia. Leukemia 30, 833–843 (2016).
pubmed: 26582643
doi: 10.1038/leu.2015.316
Schmidl, C. et al. Combined chemosensitivity and chromatin profiling prioritizes drug combinations in CLL. Nat. Chem. Biol. 15, 232–240 (2019).
pubmed: 30692684
pmcid: 6746620
doi: 10.1038/s41589-018-0205-2
Kipps, T. J. et al. Integrated analysis: outcomes of Ibrutinib-treated patients with chronic lymphocytic leukemia/small lymphocytic leukemia (Cll/Sll) with high-risk prognostic factors. Hematol. Oncol. 35, 109–111 (2017).
doi: 10.1002/hon.2437_99
Fraietta, J. A. et al. Determinants of response and resistance to CD19 chimeric antigen receptor (CAR) T cell therapy of chronic lymphocytic leukemia. Nat. Med. 24, 563–571 (2018).
pubmed: 29713085
pmcid: 6117613
doi: 10.1038/s41591-018-0010-1
Granger, C. Testing for causality: a personal viewpoint. J. Econ. Dyn. Control 2, 329–352 (1980).
doi: 10.1016/0165-1889(80)90069-X
Granger, C. W. J. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37, 424–438 (1969).
doi: 10.2307/1912791
Hallek, M. et al. Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia: a report from the International workshop on chronic lymphocytic leukemia updating the National Cancer Institute-Working Group 1996 guidelines. Blood 111, 5446–5456 (2008).
pubmed: 18216293
pmcid: 2972576
doi: 10.1182/blood-2007-06-093906
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F. & Regev, A. Spatial reconstruction of single-cell gene expression data. Nat. Biotechnol. 33, 495–502 (2015).
pubmed: 25867923
pmcid: 25867923
doi: 10.1038/nbt.3192
Kuleshov, M. V. et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 44, W90–W97 (2016).
pubmed: 4987924
pmcid: 4987924
doi: 10.1093/nar/gkw377
Liberzon, A. et al. The Molecular Signatures Database (MSigDB) hallmark gene set collection. Cell Syst. 1, 417–425 (2015).
pubmed: 26771021
pmcid: 4707969
doi: 10.1016/j.cels.2015.12.004
Eraslan, G., Simon, L. M., Mircea, M., Mueller, N. S. & Theis, F. J. Single-cell RNA-seq denoising using a deep count autoencoder. Nat. Commun. 10, 390 (2019).
pubmed: 30674886
pmcid: 6344535
doi: 10.1038/s41467-018-07931-2
Wolf, F. A., Angerer, P. & Theis, F. J. SCANPY: large-scale single-cell gene expression data analysis. Genome Biol. 19, 15 (2018).
pubmed: 29409532
pmcid: 5802054
doi: 10.1186/s13059-017-1382-0
Jiang, H., Lei, R., Ding, S. W. & Zhu, S. Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads. BMC Bioinform. 15, 182 (2014).
doi: 10.1186/1471-2105-15-182
Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).
pubmed: 3322381
pmcid: 3322381
doi: 10.1038/nmeth.1923
Tarasov, A., Vilella, A. J., Cuppen, E., Nijman, I. J. & Prins, P. Sambamba: fast processing of NGS alignment formats. Bioinformatics 31, 2032–2034 (2015).
pubmed: 25697820
pmcid: 4765878
doi: 10.1093/bioinformatics/btv098
Zhang, Y. et al. Model-based analysis of ChIP-Seq (MACS). Genome Biol. 9, R137 (2008).
pubmed: 18798982
pmcid: 18798982
doi: 10.1186/gb-2008-9-9-r137
ENCODE Project Consortium. An integrated encyclopedia of DNA elements in the human genome. Nature 489, 57–74 (2012).
doi: 10.1038/nature11247
Kalaitzis, A. A. & Lawrence, N. D. A simple approach to ranking differentially expressed gene expression time courses through Gaussian process regression. BMC Bioinform. 12, 180 (2011).
doi: 10.1186/1471-2105-12-180
Hensman, J., Lawrence, N. D. & Rattray, M. Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters. BMC Bioinform. 14, 252 (2013).
doi: 10.1186/1471-2105-14-252
Macaulay, I. C. et al. Single-cell RNA-sequencing reveals a continuous spectrum of differentiation in hematopoietic cells. Cell Rep. 14, 966–977 (2016).
pubmed: 26804912
pmcid: 4742565
doi: 10.1016/j.celrep.2015.12.082
Sheffield, N. C. et al. Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactions. Genome Res. 23, 777–788 (2013).
pubmed: 23482648
pmcid: 3638134
doi: 10.1101/gr.152140.112
Sanchez-Castillo, M. et al. CODEX: a next-generation sequencing experiment database for the haematopoietic and embryonic stem cell communities. Nucleic Acids Res. 43, D1117–D1123 (2015).
pubmed: 25270877
doi: 10.1093/nar/gku895
pmcid: 25270877
Rosenbloom, K. R. et al. The UCSC Genome Browser database: 2015 update. Nucleic Acids Res. 43, D670–D681 (2015).
pubmed: 25428374
doi: 10.1093/nar/gku1177
pmcid: 25428374
Liu, T. et al. Cistrome: an integrative platform for transcriptional regulation studies. Genome Biol. 12, R83 (2011).
pubmed: 21859476
pmcid: 3245621
doi: 10.1186/gb-2011-12-8-r83
Adams, D. et al. BLUEPRINT to decode the epigenetic signature written in blood. Nat. Biotechnol. 30, 224–226 (2012).
pubmed: 22398613
doi: 10.1038/nbt.2153
pmcid: 22398613
Gango, A. et al. Dissection of subclonal evolution by temporal mutation profiling in chronic lymphocytic leukemia patients treated with ibrutinib. Int. J. Cancer 146, 85–93 (2019).
pubmed: 31180577
doi: 10.1002/ijc.32502
pmcid: 31180577