Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma.
Journal
Nature medicine
ISSN: 1546-170X
Titre abrégé: Nat Med
Pays: United States
ID NLM: 9502015
Informations de publication
Date de publication:
03 2023
03 2023
Historique:
received:
02
02
2022
accepted:
09
12
2022
pubmed:
18
3
2023
medline:
25
3
2023
entrez:
17
3
2023
Statut:
ppublish
Résumé
The historical lack of preclinical models reflecting the genetic heterogeneity of multiple myeloma (MM) hampers the advance of therapeutic discoveries. To circumvent this limitation, we screened mice engineered to carry eight MM lesions (NF-κB, KRAS, MYC, TP53, BCL2, cyclin D1, MMSET/NSD2 and c-MAF) combinatorially activated in B lymphocytes following T cell-driven immunization. Fifteen genetically diverse models developed bone marrow (BM) tumors fulfilling MM pathogenesis. Integrative analyses of ∼500 mice and ∼1,000 patients revealed a common MAPK-MYC genetic pathway that accelerated time to progression from precursor states across genetically heterogeneous MM. MYC-dependent time to progression conditioned immune evasion mechanisms that remodeled the BM microenvironment differently. Rapid MYC-driven progressors exhibited a high number of activated/exhausted CD8
Identifiants
pubmed: 36928817
doi: 10.1038/s41591-022-02178-3
pii: 10.1038/s41591-022-02178-3
pmc: PMC10033443
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
632-645Subventions
Organisme : NCI NIH HHS
ID : P50 CA186781
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA242069
Pays : United States
Organisme : NCI NIH HHS
ID : R35 CA197583
Pays : United States
Informations de copyright
© 2023. The Author(s).
Références
Kumar, S. K. et al. Multiple myeloma. Nat. Rev. Dis. Prim. 3, 17046 (2017).
pubmed: 28726797
doi: 10.1038/nrdp.2017.46
Mouhieddine, T. H., Weeks, L. D. & Ghobrial, I. M. Monoclonal gammopathy of undetermined significance. Blood 133, 2484–2494 (2019).
pubmed: 31010848
doi: 10.1182/blood.2019846782
Dhodapkar, M. V. MGUS to myeloma: a mysterious gammopathy of underexplored significance. Blood 128, 2599–2606 (2016).
pubmed: 27737890
pmcid: 5146746
doi: 10.1182/blood-2016-09-692954
Manier, S. et al. Genomic complexity of multiple myeloma and its clinical implications. Nat. Rev. Clin. Oncol. 14, 100–113 (2017).
pubmed: 27531699
doi: 10.1038/nrclinonc.2016.122
Kumar, S. K. & Rajkumar, S. V. The multiple myelomas—current concepts in cytogenetic classification and therapy. Nat. Rev.Clin. Oncol. 15, 409–421 (2018).
pubmed: 29686421
doi: 10.1038/s41571-018-0018-y
Pawlyn, C. & Morgan, G. J. Evolutionary biology of high-risk multiple myeloma. Nat. Rev. Cancer 17, 543–556 (2017).
pubmed: 28835722
doi: 10.1038/nrc.2017.63
Misund, K. et al. MYC dysregulation in the progression of multiple myeloma. Leukemia 34, 322–326 (2020).
pubmed: 31439946
doi: 10.1038/s41375-019-0543-4
Nakamura, K., Smyth, M. J. & Martinet, L. Cancer immunoediting and immune dysregulation in multiple myeloma. Blood 136, 2731–2740 (2020).
pubmed: 32645135
doi: 10.1182/blood.2020006540
Zavidij, O. et al. Single-cell RNA sequencing reveals compromised immune microenvironment in precursor stages of multiple myeloma. Nat. Cancer 1, 493–506 (2020).
pubmed: 33409501
pmcid: 7785110
doi: 10.1038/s43018-020-0053-3
Topp, M. S. et al. Anti-B cell maturation antigen BiTE molecule AMG 420 induces responses in multiple myeloma. J. Clin. Oncol. 38, 775–783 (2020).
pubmed: 31895611
doi: 10.1200/JCO.19.02657
Sperling, A. S. & Anderson, K. C. Facts and hopes in multiple myeloma immunotherapy. Clin. Cancer Res. 27, 4468–4477 (2021).
pubmed: 33771856
pmcid: 8364865
doi: 10.1158/1078-0432.CCR-20-3600
Munshi, N. C. et al. Idecabtagene vicleucel in relapsed and refractory multiple myeloma. N. Engl. J. Med. 384, 705–716 (2021).
pubmed: 33626253
doi: 10.1056/NEJMoa2024850
Mateos, M.-V. et al. Lenalidomide plus dexamethasone for high-risk smoldering multiple myeloma. N. Engl. J. Med. 369, 438–447 (2013).
pubmed: 23902483
doi: 10.1056/NEJMoa1300439
Ghobrial, I. et al. Immunotherapy in multiple myeloma: accelerating on the path to the patient. Clin. Lymphoma Myeloma Leuk. 19, 332–344 (2019).
pubmed: 31023594
doi: 10.1016/j.clml.2019.02.004
Usmani, S. Z. et al. Pembrolizumab plus lenalidomide and dexamethasone for patients with treatment-naive multiple myeloma (KEYNOTE-185): a randomised, open-label, phase 3 trial. Lancet Haematol. 6, e448–e458 (2019).
pubmed: 31327689
doi: 10.1016/S2352-3026(19)30109-7
Mateos, M.-V. et al. Pembrolizumab plus pomalidomide and dexamethasone for patients with relapsed or refractory multiple myeloma (KEYNOTE-183): a randomised, open-label, phase 3 trial. Lancet Haematol. 6, e459–e469 (2019).
pubmed: 31327687
doi: 10.1016/S2352-3026(19)30110-3
Chesi, M. et al. AID-dependent activation of a MYC transgene induces multiple myeloma in a conditional mouse model of post-germinal center malignancies. Cancer Cell 13, 167–180 (2008).
pubmed: 18242516
pmcid: 2255064
doi: 10.1016/j.ccr.2008.01.007
Hamouda, M. A. et al. BCL-B (BCL2L10) is overexpressed in patients suffering from multiple myeloma (MM) and drives an MM-like disease in transgenic mice. J. Exp. Med. 213, 1705–1722 (2016).
pubmed: 27455953
pmcid: 4995074
doi: 10.1084/jem.20150983
Wen, Z. et al. Expression of Nras Q61R and MYC transgene in germinal center B cells induces a highly malignant multiple myeloma in mice. Blood 137, 61–74 (2021).
pubmed: 32640012
pmcid: 7808014
doi: 10.1182/blood.2020007156
Kovalchuk, A. L. et al. IL-6 transgenic mouse model for extraosseous plasmacytoma. Proc. Natl Acad. Sci. USA 99, 1509–1514 (2002).
pubmed: 11805288
pmcid: 122221
doi: 10.1073/pnas.022643999
Carrasco, D. R. et al. The differentiation and stress response factor XBP-1 drives multiple myeloma pathogenesis. Cancer Cell 11, 349–360 (2007).
pubmed: 17418411
pmcid: 1885943
doi: 10.1016/j.ccr.2007.02.015
Das, R. et al. Microenvironment-dependent growth of preneoplastic and malignant plasma cells in humanized mice. Nat. Med. 22, 1351–1357 (2016).
pubmed: 27723723
pmcid: 5101153
doi: 10.1038/nm.4202
Walker, B. A. et al. Characterization of IGH locus breakpoints in multiple myeloma indicates a subset of translocations appear to occur in pregerminal center B cells. Blood 121, 3413–3419 (2013).
pubmed: 23435460
doi: 10.1182/blood-2012-12-471888
Bergsagel, P. L. et al. Promiscuous translocations into immunoglobulin heavy chain switch regions in multiple myeloma. Proc. Natl Acad. Sci. USA 93, 13931–13936 (1996).
pubmed: 8943038
pmcid: 19472
doi: 10.1073/pnas.93.24.13931
Hobeika, E. et al. Testing gene function early in the B cell lineage in Mb1-cre mice. Proc. Natl Acad. Sci. USA 103, 13789–13794 (2006).
pubmed: 16940357
pmcid: 1564216
doi: 10.1073/pnas.0605944103
Casola, S. et al. Tracking germinal center B cells expressing germ-line immunoglobulin 1 transcripts by conditional gene targeting. Proc. Natl Acad. Sci. USA 103, 7396–7401 (2006).
pubmed: 16651521
pmcid: 1464351
doi: 10.1073/pnas.0602353103
Bazarbachi, A. H. et al. IgM-MM is predominantly a pre-germinal center disorder and has a distinct genomic and transcriptomic signature from WM. Blood 138, 1980–1985 (2021).
pubmed: 34792571
pmcid: 8602933
doi: 10.1182/blood.2021011452
Bustoros, M. et al. Genomic profiling of smoldering multiple myeloma identifies patients at a high risk of disease progression. J. Clin. Oncol. 38, 2380–2389 (2020).
pubmed: 32442065
pmcid: 7367550
doi: 10.1200/JCO.20.00437
Boyle, E. M. et al. The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma. Nat. Commun. 12, 293 (2021).
pubmed: 33436579
pmcid: 7804406
doi: 10.1038/s41467-020-20524-2
Delmore, J. E. et al. BET bromodomain inhibition as a therapeutic strategy to target c-Myc. Cell 146, 904–917 (2011).
pubmed: 21889194
pmcid: 3187920
doi: 10.1016/j.cell.2011.08.017
Han, H. et al. Small-molecule MYC inhibitors suppress tumor growth and enhance immunotherapy. Cancer Cell 36, 483–497 (2019).
pubmed: 31679823
pmcid: 6939458
doi: 10.1016/j.ccell.2019.10.001
Flaherty, K. T. et al. Improved survival with MEK inhibition in BRAF-mutated melanoma. N. Engl. J. Med. 367, 107–114 (2012).
pubmed: 22663011
doi: 10.1056/NEJMoa1203421
Sears, R. et al. Multiple Ras-dependent phosphorylation pathways regulate Myc protein stability. Genes Dev. 14, 2501–2514 (2000).
pubmed: 11018017
pmcid: 316970
doi: 10.1101/gad.836800
Kotlov, N. et al. Clinical and biological subtypes of B cell lymphoma revealed by microenvironmental signatures. Cancer Discov. 11, 1468–1489 (2021).
pubmed: 33541860
pmcid: 8178179
doi: 10.1158/2159-8290.CD-20-0839
Nakamura, K. et al. Dysregulated IL-18 is a key driver of immunosuppression and a possible therapeutic target in the multiple myeloma microenvironment. Cancer Cell 33, 634–648 (2018).
pubmed: 29551594
doi: 10.1016/j.ccell.2018.02.007
Chan, T. A. et al. Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic. Ann. Oncol. 30, 44–56 (2019).
pubmed: 30395155
doi: 10.1093/annonc/mdy495
Kortlever, R. M. et al. Myc cooperates with ras by programming inflammation and immune suppression. Cell 171, 1301–1315 (2017).
pubmed: 29195074
pmcid: 5720393
doi: 10.1016/j.cell.2017.11.013
Casey, S. C. et al. MYC regulates the antitumor immune response through CD47 and PD-L1. Science 352, 227–231 (2016).
pubmed: 26966191
pmcid: 4940030
doi: 10.1126/science.aac9935
Badros, A. Z., Ma, N., Rapoport, A. P., Lederer, E. & Lesokhin, A. M. Long-term remissions after stopping pembrolizumab for relapsed or refractory multiple myeloma. Blood Adv. 3, 1658–1660 (2019).
pubmed: 31167817
pmcid: 6560349
doi: 10.1182/bloodadvances.2019000191
Danziger, S. A. et al. Bone marrow microenvironments that contribute to patient outcomes in newly diagnosed multiple myeloma: a cohort study of patients in the Total Therapy clinical trials. PLoS Med. 17, e1003323 (2020).
pubmed: 33147277
pmcid: 7641353
doi: 10.1371/journal.pmed.1003323
Solomon, I. et al. CD25-T
pubmed: 33644766
pmcid: 7116816
doi: 10.1038/s43018-020-00133-0
Reddy, A. et al. Genetic and functional drivers of diffuse large B cell lymphoma. Cell 171, 481–494 (2017).
pubmed: 28985567
pmcid: 5659841
doi: 10.1016/j.cell.2017.09.027
Kumagai, S. et al. The PD-1 expression balance between effector and regulatory T cells predicts the clinical efficacy of PD-1 blockade therapies. Nat. Immunol. 21, 1346–1358 (2020).
pubmed: 32868929
doi: 10.1038/s41590-020-0769-3
Guillerey, C. et al. Chemotherapy followed by anti-CD137 mAb immunotherapy improves disease control in a mouse myeloma model. JCI Insight 4, e125932 (2019).
pmcid: 6675586
doi: 10.1172/jci.insight.125932
Ullah, R., Yin, Q., Snell, A. H. & Wan, L. RAF–MEK–ERK pathway in cancer evolution and treatment. Semin. Cancer Biol. 85, 123–154 (2021).
pubmed: 33992782
doi: 10.1016/j.semcancer.2021.05.010
Beaulieu, M.-E. et al. Intrinsic cell-penetrating activity propels Omomyc from proof of concept to viable anti-MYC therapy. Sci. Transl. Med. 11, eaar5012 (2019).
pubmed: 30894502
pmcid: 6522349
doi: 10.1126/scitranslmed.aar5012
Lonial, S. et al. Randomized trial of lenalidomide versus observation in smoldering multiple myeloma. J. Clin. Oncol. 38, 1126–1137 (2020).
pubmed: 31652094
doi: 10.1200/JCO.19.01740
Kawano, Y. et al. Blocking IFNAR1 inhibits multiple myeloma-driven T
pubmed: 29558366
pmcid: 5983341
doi: 10.1172/JCI88169
Meermeier, E. W. et al. Tumor burden limits bispecific antibody efficacy through T cell exhaustion averted by concurrent cytotoxic therapy. Cancer Discov. 2, 354–369 (2021).
doi: 10.1158/2643-3230.BCD-21-0038
Murillo, O. et al. Therapeutic antitumor efficacy of anti-CD137 agonistic monoclonal antibody in mouse models of myeloma. Clin. Cancer Res. 14, 6895–6906 (2008).
pubmed: 18980984
pmcid: 2583963
doi: 10.1158/1078-0432.CCR-08-0285
Dogan, I. et al. Multiple layers of B cell memory with different effector functions. Nat. Immunol. 10, 1292–1299 (2009).
pubmed: 19855380
doi: 10.1038/ni.1814
Weber, T. et al. A novel allele for inducible Cre expression in germinal center B cells. Eur. J. Immunol. 49, 192–194 (2019).
pubmed: 30359469
doi: 10.1002/eji.201847863
Krönke, J. et al. Lenalidomide induces ubiquitination and degradation of CK1α in del(5q) MDS. Nature 523, 183–188 (2015).
pubmed: 26131937
pmcid: 4853910
doi: 10.1038/nature14610
Fink, E. C. et al. Crbn
Calado, D. P. et al. Constitutive canonical NF-κB activation cooperates with disruption of BLIMP1 in the pathogenesis of activated B cell-like diffuse large cell lymphoma. Cancer Cell 18, 580–589 (2010).
pubmed: 21156282
pmcid: 3018685
doi: 10.1016/j.ccr.2010.11.024
Jackson, E. L. Analysis of lung tumor initiation and progression using conditional expression of oncogenic K-ras. Genes Dev. 15, 3243–3248 (2001).
pubmed: 11751630
pmcid: 312845
doi: 10.1101/gad.943001
Strasser, A. et al. Enforced BCL2 expression in B lymphoid cells prolongs antibody responses and elicits autoimmune disease. Proc. Natl Acad. Sci. USA 88, 8661–8665 (1991).
pubmed: 1924327
pmcid: 52569
doi: 10.1073/pnas.88.19.8661
Sander, S. et al. Synergy between PI3K signaling and MYC in burkitt lymphomagenesis. Cancer Cell 22, 167–179 (2012).
pubmed: 22897848
pmcid: 3432451
doi: 10.1016/j.ccr.2012.06.012
Marino, S., Vooijs, M., van der Gulden, H., Jonkers, J. & Berns, A. Induction of medulloblastomas in p53-null mutant mice by somatic inactivation of Rb in the external granular layer cells of the cerebellum. Genes Dev. 14, 994–1004 (2000).
pubmed: 10783170
pmcid: 316543
doi: 10.1101/gad.14.8.994
Katz, S. G. et al. Mantle cell lymphoma in cyclin D1 transgenic mice with Bim-deficient B cells. Blood 23, 884–893 (2014).
doi: 10.1182/blood-2013-04-499079
Morito, N. et al. A novel transgenic mouse model of the human multiple myeloma chromosomal translocation t(14;16)(q32;q23). Cancer Res. 71, 339–348 (2011).
pubmed: 21224354
doi: 10.1158/0008-5472.CAN-10-1057
Thai, T.-H. et al. Regulation of the germinal center response by microRNA-155. Science 316, 604–608 (2007).
pubmed: 17463289
doi: 10.1126/science.1141229
Hobeika, E. et al. Testing gene function early in the B cell lineage in Mb1-cre mice. Proc. Natl Acad. Sci. USA 103, 13789–13794 (2006).
pubmed: 16940357
pmcid: 1564216
doi: 10.1073/pnas.0605944103
Srinivas, S. et al. Cre reporter strains produced by targeted insertion of EYFP and ECFP into the ROSA26 locus. BMC Dev. Biol. 1, 4 (2001).
pubmed: 11299042
pmcid: 31338
doi: 10.1186/1471-213X-1-4
Schneider, C. A., Rasband, W. S. & Eliceiri, K. W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675 (2012).
pubmed: 22930834
pmcid: 5554542
doi: 10.1038/nmeth.2089
Bolotin, D. A. et al. Antigen receptor repertoire profiling from RNA-seq data. Nat. Biotechnol. 35, 908–911 (2017).
pubmed: 29020005
pmcid: 6169298
doi: 10.1038/nbt.3979
Goicoechea, I. et al. Deep MRD profiling defines outcome and unveils different modes of treatment resistance in standard- and high-risk myeloma. Blood 137, 49–60 (2021).
pubmed: 32693406
doi: 10.1182/blood.2020006731
Botta, C. et al. FlowCT for the analysis of large immunophenotypic datasets and biomarker discovery in cancer immunology. Blood Adv. 6, 690–703 (2021).
doi: 10.1182/bloodadvances.2021005198
Traggiai, E. et al. Development of a human adaptive immune system in cord blood cell-transplanted mice. Science 304, 104–107 (2004).
pubmed: 15064419
doi: 10.1126/science.1093933
Fresquet, V. et al. Endogenous retroelement activation by epigenetic therapy reverses the warburg effect and elicits mitochondrial-mediated cancer cell death. Cancer Discov. 11, 1268–1285 (2021).
pubmed: 33355179
doi: 10.1158/2159-8290.CD-20-1065
Jaitin, D. A. et al. Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types. Science 343, 776–779 (2014).
pubmed: 24531970
pmcid: 4412462
doi: 10.1126/science.1247651
Zaitsev, A. et al. Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes. Cancer Cell 40, 879–894 (2022).
pubmed: 35944503
doi: 10.1016/j.ccell.2022.07.006
Hafemeister, C. & Satija, R. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression. Genome Biol. 20, 296 (2019).
pubmed: 31870423
pmcid: 6927181
doi: 10.1186/s13059-019-1874-1