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The Impact of Inflammation-Induced Tumor Plasticity during Myeloid Transformation

Yeaton, Anna, Cayanan, Geraldine, Loghavi, Sanam, Dolgalev, Igor, Leddin, Emmett M., Loo, Christian E., Torabifard, Hedieh, Nicolet, Deedra, Wang, Jingjing, Corrigan, Kate, Paraskevopoulou, Varvara, Starczynowski, Daniel T, Wang, Eric, Abdel-Wahab, Omar, Viny, Aaron D, Stone, Richard M., Byrd, John C., Guryanova, Olga A., Kohli, Rahul M., Cisneros, G. Andrés, Tsirigos, Aristotelis, Eisfeld, Ann-Kathrin, Aifantis, Iannis, Guillamot, Maria·2022·Cancer Discovery

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Abstract

Clonal hematopoiesis (CH) is an aging-associated condition characterized by the clonal outgrowth of mutated preleukemic cells. Individuals with CH are at an increased risk of developing hematopoietic malignancies. Here, we describe a novel animal model carrying a recurrent TET2 missense mutation frequently found in patients with CH and leukemia. In a fashion similar to CH, animals show signs of disease late in life when they develop a wide range of myeloid neoplasms, including acute myeloid leukemia (AML). Using single-cell transcriptomic profiling of the bone marrow, we show that disease progression in aged animals correlates with an enhanced inflammatory response and the emergence of an aberrant inflammatory monocytic cell population. The gene signature characteristic of this inflammatory population is associated with poor prognosis in patients with AML. Our study illustrates an example of collaboration between a genetic lesion found in CH and inflammation, leading to transformation and the establishment of blood neoplasms. Significance: Progression from a preleukemic state to transformation, in the presence of TET2 mutations, is coupled with the emergence of inflammation and a novel population of inflammatory monocytes. Genes characteristic of this inflammatory population are associated with the worst prognosis in patients with AML. These studies connect inflammation to progression to leukemia. See related commentary by Pietras and DeGregori, p. 2234 . This article is highlighted in the In This Issue feature, p. 2221

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  1. Laurenti, 2018, From haematopoietic stem cells to complex differentiation landscapes, Nature, 553, 418, 10.1038/nature25022 · DOI
  2. Mitchell, 2021, Insights into clonal hematopoiesis and its relation to cancer risk, Curr Opin Genet Dev, 66, 63, 10.1016/j.gde.2020.12.004 · DOI
  3. Sperling, 2017, The genetics of myelodysplastic syndrome: from clonal haematopoiesis to secondary leukaemia, Nat Rev Cancer, 17, 5, 10.1038/nrc.2016.112 · DOI
  4. Corces, 2017, Preleukemic hematopoietic stem cells in human acute myeloid leukemia, Front Oncol, 7, 263, 10.3389/fonc.2017.00263 · DOI
  5. Steensma, 2018, Clinical consequences of clonal hematopoiesis of indeterminate potential, Hematology Am Soc Hematol Educ Program, 2018, 264, 10.1182/asheducation-2018.1.264 · DOI
  6. Abdel-Wahab, 2009, Genetic characterization of TET1, TET2, and TET3 alterations in myeloid malignancies, Blood, 114, 144, 10.1182/blood-2009-03-210039 · DOI · Paper page
  7. Ferrone, 2020, Age-associated TET2 mutations: common drivers of myeloid dysfunction, cancer and cardiovascular disease, Int J Mol Sci, 21, 626, 10.3390/ijms21020626 · DOI
  8. Ko, 2011, Ten-eleven-translocation 2 (TET2) negatively regulates homeostasis and differentiation of hematopoietic stem cells in mice, Proc Natl Acad Sci U S A, 108, 14566, 10.1073/pnas.1112317108 · DOI · Paper page
  9. Quivoron, 2011, TET2 inactivation results in pleiotropic hematopoietic abnormalities in mouse and is a recurrent event during human lymphomagenesis, Cancer Cell, 20, 25, 10.1016/j.ccr.2011.06.003 · DOI · Paper page
  10. Li, 2011, Deletion of Tet2 in mice leads to dysregulated hematopoietic stem cells and subsequent development of myeloid malignancies, Blood, 118, 4509, 10.1182/blood-2010-12-325241 · DOI · Paper page
  11. Ito, 2019, Non-catalytic roles of Tet2 are essential to regulate hematopoietic stem and progenitor cell homeostasis, Cell Rep, 28, 2480, 10.1016/j.celrep.2019.07.094 · DOI · Paper page
  12. Hu, 2013, Crystal structure of TET2-DNA complex: insight into TET-mediated 5mC oxidation, Cell, 155, 1545, 10.1016/j.cell.2013.11.020 · DOI
  13. Liu, 2017, Mutations along a TET2 active site scaffold stall oxidation at 5-hydroxymethylcytosine, Nat Chem Biol, 13, 181, 10.1038/nchembio.2250 · DOI · Paper page
  14. Salomon-Ferrer, 2013, Routine microsecond molecular dynamics simulations with AMBER on GPUs. 2. explicit solvent particle mesh Ewald, J Chem Theory Comput, 9, 3878, 10.1021/ct400314y · DOI
  15. Hix, 2021, Combining evolutionary conservation and quantum topological analyses to determine quantum mechanics subsystems for biomolecular quantum mechanics/molecular mechanics simulations, J Chem Theory Comput, 17, 4524, 10.1021/acs.jctc.1c00313 · DOI
  16. Shih, 2017, Combination targeted therapy to disrupt aberrant oncogenic signaling and reverse epigenetic dysfunction in IDH2- and TET2-mutant acute myeloid leukemia, Cancer Discov, 7, 494, 10.1158/2159-8290.CD-16-1049 · DOI
  17. Tothova, 2017, Multiplex CRISPR/Cas9-based genome editing in human hematopoietic stem cells models clonal hematopoiesis and myeloid neoplasia, Cell Stem Cell, 21, 547, 10.1016/j.stem.2017.07.015 · DOI
  18. Butler, 2018, Integrating single-cell transcriptomic data across different conditions, technologies, and species, Nat Biotechnol, 36, 411, 10.1038/nbt.4096 · DOI · Paper page
  19. Becht, 2019, Dimensionality reduction for visualizing single-cell data using UMAP, Nat Biotechnol, 37, 38, 10.1038/nbt.4314 · DOI · Paper page
  20. Askenase, 2015, Bone-marrow-resident NK cells prime monocytes for regulatory function during infection, Immunity, 42, 1130, 10.1016/j.immuni.2015.05.011 · DOI
  21. Lee, 2020, Serum amyloid a proteins induce pathogenic Th17 cells and promote inflammatory disease, Cell, 180, 79, 10.1016/j.cell.2019.11.026 · DOI
  22. Rao, 2009, Age-specific differences in oncogenic pathway dysregulation and anthracycline sensitivity in patients with acute myeloid leukemia, J Clin Oncol, 27, 5580, 10.1200/JCO.2009.22.2547 · DOI
  23. Ellegast, 2021, Unleashing cell-intrinsic inflammation as a strategy to kill AML blasts, Blood, 138, 3305, 10.1182/blood-2021-151511 · DOI
  24. Rhyasen, 2013, Targeting IRAK1 as a therapeutic approach for myelodysplastic syndrome, Cancer Cell, 24, 90, 10.1016/j.ccr.2013.05.006 · DOI · Paper page
  25. Melgar, 2019, Overcoming adaptive therapy resistance in AML by targeting immune response pathways, Sci Transl Med, 11, eaaw8828, 10.1126/scitranslmed.aaw8828 · DOI
  26. Trowbridge, 2021, Innate immune pathways and inflammation in hematopoietic aging, clonal hematopoiesis, and MDS, J Exp Med, 218, e20201544, 10.1084/jem.20201544 · DOI · Paper page
  27. Caiado, 2021, Inflammation as a regulator of hematopoietic stem cell function in disease, aging, and clonal selection, J Exp Med, 218, e20201541, 10.1084/jem.20201541 · DOI · Paper page
  28. Kaufmann, 2018, BCG educates hematopoietic stem cells to generate protective innate immunity against tuberculosis, Cell, 172, 176, 10.1016/j.cell.2017.12.031 · DOI · Paper page
  29. Christ, 2018, Western diet triggers NLRP3-dependent innate immune reprogramming, Cell, 172, 162, 10.1016/j.cell.2017.12.013 · DOI
  30. Jordan, 2019, Dietary intake regulates the circulating inflammatory monocyte pool, Cell, 178, 1102, 10.1016/j.cell.2019.07.050 · DOI
  31. Jaiswal, 2020, Clonal hematopoiesis and nonhematologic disorders, Blood, 136, 1606
  32. Fuster, 2020, TET2-loss-of-function-driven clonal hematopoiesis exacerbates experimental insulin resistance in aging and obesity, Cell Rep, 33, 108326, 10.1016/j.celrep.2020.108326 · DOI · Paper page
  33. Sidlow, 2020, The clinical challenge of clonal hematopoiesis, a newly recognized cardiovascular risk factor, JAMA Cardiol, 5, 958, 10.1001/jamacardio.2020.1271 · DOI
  34. Abegunde, 2018, An inflammatory environment containing TNFalpha favors Tet2-mutant clonal hematopoiesis, Exp Hematol, 59, 60, 10.1016/j.exphem.2017.11.002 · DOI · Paper page
  35. Djurec, 2018, Saa3 is a key mediator of the protumorigenic properties of cancer-associated fibroblasts in pancreatic tumors, Proc Natl Acad Sci U S A, 115, E1147, 10.1073/pnas.1717802115 · DOI
  36. Zhang, 2018, Elevated expression of serum amyloid a 3 protects colon epithelium against acute injury through TLR2-dependent induction of neutrophil IL-22 expression in a mouse model of colitis, Front Immunol, 9, 1503, 10.3389/fimmu.2018.01503 · DOI
  37. Pronier, 2011, Inhibition of TET2-mediated conversion of 5-methylcytosine to 5-hydroxymethylcytosine disturbs erythroid and granulomonocytic differentiation of human hematopoietic progenitors, Blood, 118, 2551, 10.1182/blood-2010-12-324707 · DOI
  38. Damm, 2014, Acquired initiating mutations in early hematopoietic cells of CLL patients, Cancer Discov, 4, 1088, 10.1158/2159-8290.CD-14-0104 · DOI
  39. Stoeckius, 2018, Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics, Genome Biol, 19, 224, 10.1186/s13059-018-1603-1 · DOI · Paper page
  40. Bolger, 2014, Trimmomatic: a flexible trimmer for Illumina sequence data, Bioinformatics, 30, 2114, 10.1093/bioinformatics/btu170 · DOI · Paper page
  41. Dobin, 2013, STAR: ultrafast universal RNA-seq aligner, Bioinformatics, 29, 15, 10.1093/bioinformatics/bts635 · DOI · Paper page
  42. Liao, 2014, featureCounts: an efficient general purpose program for assigning sequence reads to genomic features, Bioinformatics, 30, 923, 10.1093/bioinformatics/btt656 · DOI · Paper page
  43. Love, 2014, Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2, Genome Biol, 15, 550, 10.1186/s13059-014-0550-8 · DOI · Paper page
  44. Li, 2009, Fast and accurate short read alignment with Burrows–Wheeler transform, Bioinformatics, 25, 1754, 10.1093/bioinformatics/btp324 · DOI · Paper page
  45. Tarasov, 2015, Sambamba: fast processing of NGS alignment formats, Bioinformatics, 31, 2032, 10.1093/bioinformatics/btv098 · DOI
  46. Saunders, 2012, Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs, Bioinformatics, 28, 1811, 10.1093/bioinformatics/bts271 · DOI
  47. Zink, 2017, Clonal hematopoiesis, with and without candidate driver mutations, is common in the elderly, Blood, 130, 742, 10.1182/blood-2017-02-769869 · DOI · Paper page
  48. Tate, 2019, COSMIC: the catalogue of somatic mutations in cancer, Nucleic Acids Res, 47, D941, 10.1093/nar/gky1015 · DOI · Paper page
  49. Ou, 2019, trackViewer: a Bioconductor package for interactive and integrative visualization of multi-omics data, Nat Methods, 16, 453, 10.1038/s41592-019-0430-y · DOI
  50. Olson, 2001, A standard reference frame for the description of nucleic acid base-pair geometry, J Mol Biol, 313, 229, 10.1006/jmbi.2001.4987 · DOI
  51. Hunter, 2007, Matplotlib: a 2D graphics environment, Comput Sci Eng, 9, 90, 10.1109/MCSE.2007.55 · DOI · Paper page
  52. Mölder, 2021, Sustainable data analysis with Snakemake, F1000Res, 10, 33, 10.12688/f1000research.29032.2 · DOI · Paper page
  53. McKinney, Data structures for statistical computing in python, 10.25080/Majora-92bf1922-00a · DOI
  54. Pettersen, 2004, UCSF Chimera—a visualization system for exploratory research and analysis, J Comput Chem, 25, 1605, 10.1002/jcc.20084 · DOI
  55. Roboz, 2018, Randomized trial of 10 days of decitabine +/− bortezomib in untreated older patients with AML: CALGB 11002 (Alliance), Blood Adv, 2, 3608, 10.1182/bloodadvances.2018023689 · DOI
  56. Mayer, 1994, Intensive postremission chemotherapy in adults with acute myeloid leukemia. Cancer and Leukemia Group B, N Engl J Med, 331, 896, 10.1056/NEJM199410063311402 · DOI · Paper page
  57. Moore, 1997, Granulocyte-colony stimulating factor (filgrastim) accelerates granulocyte recovery after intensive postremission chemotherapy for acute myeloid leukemia with aziridinyl benzoquinone and mitoxantrone: Cancer and Leukemia Group B study 9022, Blood, 89, 780, 10.1182/blood.V89.3.780 · DOI
  58. Stone, 1995, Granulocyte-macrophage colony-stimulating factor after initial chemotherapy for elderly patients with primary acute myelogenous leukemia. Cancer and Leukemia Group B, N Engl J Med, 332, 1671, 10.1056/NEJM199506223322503 · DOI
  59. Attar, 2013, Bortezomib added to daunorubicin and cytarabine during induction therapy and to intermediate-dose cytarabine for consolidation in patients with previously untreated acute myeloid leukemia age 60 to 75 years: CALGB (Alliance) study 10502, J Clin Oncol, 31, 923, 10.1200/JCO.2012.45.2177 · DOI
  60. Blum, 2017, Maintenance therapy with decitabine in younger adults with acute myeloid leukemia in first remission: a phase 2 Cancer and Leukemia Group B Study (CALGB 10503), Leukemia, 31, 34, 10.1038/leu.2016.252 · DOI
  61. Kolitz, 2010, P-glycoprotein inhibition using valspodar (PSC-833) does not improve outcomes for patients younger than age 60 years with newly diagnosed acute myeloid leukemia: Cancer and Leukemia Group B study 19808, Blood, 116, 1413, 10.1182/blood-2009-07-229492 · DOI
  62. Moore, 2005, Sequential multiagent chemotherapy is not superior to high-dose cytarabine alone as postremission intensification therapy for acute myeloid leukemia in adults under 60 years of age: Cancer and Leukemia Group B Study 9222, Blood, 105, 3420, 10.1182/blood-2004-08-2977 · DOI
  63. Uy, 2017, A phase 2 study incorporating sorafenib into the chemotherapy for older adults with FLT3-mutated acute myeloid leukemia: CALGB 11001, Blood Adv, 1, 331, 10.1182/bloodadvances.2016003053 · DOI
  64. Cassileth, 1998, Chemotherapy compared with autologous or allogeneic bone marrow transplantation in the management of acute myeloid leukemia in first remission, N Engl J Med, 339, 1649, 10.1056/NEJM199812033392301 · DOI

Cited by

See all 94

Metadata

Authors
Yeaton, A., Cayanan, G., Loghavi, S., Dolgalev, I., Leddin, E. M., Loo, C. E., Torabifard, H., Nicolet, D., Wang, J., Corrigan, K., Paraskevopoulou, V., Starczynowski, D. T., Wang, E., Abdel-Wahab, O., Viny, A. D., Stone, R. M., Byrd, J. C., Guryanova, O. A., Kohli, R. M., Cisneros, G. A., Tsirigos, A., Eisfeld, A.-K., Aifantis, I., & Guillamot, M.
Venue
Cancer Discovery
Published
2022-08-04
Volume
12
Issue
10
Pages
2392-2413
ISSN
  • 2159-8274
  • 2159-8290
Cited by
94
References
17
Language
en
Funders
  • Clinical and Translational Science Institute, New York University (TL1TR001447)
  • National Institute of General Medical Sciences (R01GM108583)
  • National Cancer Institute (P01CA229086, R01CA260028-01, R01CA252239-01, RO1CA216421, RO1CA173636, RO1CA228135, RO1CA242020, RO1HL159175, RO1CA271455)
  • St. Baldrick's Foundation (581357)
  • European Molecular Biology Organization (ALTF 742-2020)
  • Pelotonia
  • American Society of Hematology
  • Leukemia and Lymphoma Society
  • Leukemia Research Foundation
  • Gilead Research Scholars

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