Combining Flow and Mass Cytometry in the Search for Biomarkers in Chronic Graft-versus-Host Disease

Arwen Stikvoort, Yang Chen, Emelie Rådestad, Johan Törlén, Tadepally Lakshmikanth, Andreas Björklund, Jaromir Mikes, Adnane Achour, Jens Gertow, Berit Sundberg, Mats Remberger, Mikael Sundin, Jonas Mattsson, Petter Brodin, Michael Uhlin, Arwen Stikvoort, Yang Chen, Emelie Rådestad, Johan Törlén, Tadepally Lakshmikanth, Andreas Björklund, Jaromir Mikes, Adnane Achour, Jens Gertow, Berit Sundberg, Mats Remberger, Mikael Sundin, Jonas Mattsson, Petter Brodin, Michael Uhlin

Abstract

Chronic graft-versus-host disease (cGVHD) is a debilitating complication arising in around half of all patients treated with an allogeneic hematopoietic stem cell transplantation. Even though treatment of severe cGVHD has improved during recent years, it remains one of the main causes of morbidity and mortality in affected patients. Biomarkers in blood that could aid in the diagnosis and classification of cGVHD severity are needed for the development of novel treatment strategies that can alleviate symptoms and reduce the need for painful and sometimes complicated tissue biopsies. Methods that comprehensively profile complex biological systems such as the immune system can reveal unanticipated markers when used with the appropriate methods of data analysis. Here, we used mass cytometry, flow cytometry, enzyme-linked immunosorbent assay, and multiplex assays to systematically profile immune cell populations in 68 patients with varying grades of cGVHD. We identified multiple subpopulations across T, B, and NK-cell lineages that distinguished patients with cGVHD from those without cGVHD and which were associated in varying ways with severity of cGVHD. Specifically, initial flow cytometry demonstrated that patients with more severe cGVHD had lower mucosal-associated T cell frequencies, with a concomitant higher level of CD38 expression on T cells. Mass cytometry could identify unique subpopulations specific for cGVHD severity albeit with some seemingly conflicting results. For instance, patients with severe cGVHD had an increased frequency of activated B cells compared to patients with moderate cGVHD while activated B cells were found at a reduced frequency in patients with mild cGVHD compared to patients without cGVHD. Moreover, results indicate it may be possible to validate mass cytometry results with clinically viable, smaller flow cytometry panels. Finally, no differences in levels of blood soluble markers could be identified, with the exception for the semi-soluble combined marker B-cell activating factor/B cell ratio, which was increased in patients with mild cGVHD compared to patients without cGVHD. These findings suggest that interdependencies between such perturbed subpopulations of cells play a role in cGVHD pathogenesis and can serve as future diagnostic and therapeutic targets.

Keywords: flow cytometry; graft-versus-host disease; hematopoietic stem cell transplantation; immunophenotyping; mass cytometry.

Figures

Figure 1
Figure 1
Serum protein phenotype. (A) B-cell activating factor (BAFF) levels in peripheral blood and (B) BAFF/B-cell ratios for the four chronic graft-versus-host disease (cGVHD) patient groups. Statistical analysis was done with the Mann–Whitney U test. n = 11, no cGVHD; n = 6, mild cGVHD; n = 5, moderate cGVHD; and n = 8, severe cGVHD.
Figure 2
Figure 2
Conventional flow cytometry results. (A) The percentage of mucosal-associated T (MAIT)-cells in peripheral blood, defined as CD161+ TCRVα7.2+ T-cells, in CD4−, CD4− CD8+ and CD4− CD8− gates. Representative flow cytometry figures of a patient with severe chronic graft-versus-host disease (cGVHD) are shown below the graphs for each gating strategy. Statistical analysis was done with the Mann–Whitney U test (MW). n = 9, no cGVHD; n = 5, mild cGVHD; n = 8, moderate cGVHD; n = 9, severe cGVHD. (B) CD38 expression in CD3+, CD3+ CD8+, and CD3+ CD4+ T-cells. Representative flow cytometry figures of a patient without cGVHD and with mild cGVHD are shown to the right of the graphs gated on T-cells. Statistical analysis was done with the MW. n = 11, no cGVHD and n = 7, mild cGVHD.
Figure 3
Figure 3
Mass cytometry analysis in patients without chronic graft-versus-host disease (cGVHD) versus patients with mild cGVHD. Results after automated cell clustering software Citrus and ACCENSE (n = 11, no cGVHD and n = 9, mild cGVHD). The statistical analysis was performed by the Citrus software. The boxplots indicate the spread of the abundancy of the separate clusters, and the histograms depict the expression of specific cellular markers (blue depicts background expression, and red indicates expression of the cluster). (A) Multidimensional depiction of some main cellular subsets. (B) Two B-cell subsets. Cluster 399963 expressed CD19, HLA-DR, CD39, CXCR5, CCR4, and CXCR3. Cluster 399970 expressed CD19, HLA-DR, CD39, CXCR5, and Ki-67. (C) Two NKT-cell subsets. Cluster 399962 expressed CD3, Granzyme B (GzB), CD57, CD44, Ki-67, and CD8. Cluster 399954 expressed CD3, GzB, CD57, CCR4, PD-1, and to a lesser degree CD8. (D) An NK-cell subset, cluster 399979, expressed CD57, GzB, CD39, CD11c, and CD161. (E) A CD4+ T-cell subset, cluster 399983, expressed CD3, TCRαβ, CD4, CD5, CCR4, CD127, CD27, and CD28.
Figure 4
Figure 4
Mass cytometry analysis in patients with moderate chronic graft-versus-host disease (cGVHD) versus patients with severe cGVHD. Results after automated cell clustering software Citrus and ACCENSE (n = 10, moderate cGVHD and n = 10, severe cGVHD). The statistical analysis was performed by the Citrus software. The boxplots indicate the spread of the abundancy of the separate clusters, and the histograms depict the expression of specific cellular markers (blue depicts background expression, and red indicates expression of the cluster). (A) Multidimensional depiction of some main cellular subsets. (B) A B-cell subset, cluster 399948, expressed CD19, HLA-DR, CD39, CXCR5, CCR4, CXCR3, and to a slight degree CD38. (C) An NKT-cell subset, cluster 399981, expressed CD3, CD57, Granzyme B (GzB), and dimly expressed CD44, PD-1, CD8, and CCR4.
Figure 5
Figure 5
Confirmatory flow cytometry results. Analyzed flow cytometry results for a selection of markers for 37 patients [n = 15, no chronic graft-versus-host disease (cGVHD); n = 7, mild cGVHD; n = 10, moderate cGVHD; and n = 5, severe cGVHD]. GzB, Granzyme B. Statistical analysis was done with the Mann–Whitney U test. (A) A potential NKT-cell subset, based on cluster 399954 (Figure 3C). Representative flow cytometry figures of a patient without cGVHD and with mild cGVHD are shown to the right of the graphs gated on T-cells. (B) CD38 expression on CD39+ CXCR5+ HLA-DR+ B-cells. Representative flow cytometry figures of a patient without cGVHD and with mild cGVHD are shown below the graphs. (C) CD39 expression on CXCR5+ HLA-DR+ B-cells. Representative flow cytometry figures of a patient with moderate and severe cGVHD are shown below the graphs. (D) CD8 expression on CD57+ GzB+ T-cells. Representative flow cytometry figures of a patient with moderate and severe cGVHD are shown below the graphs.

References

    1. Childs RW, Barrett J. Nonmyeloablative allogeneic immunotherapy for solid tumors. Annu Rev Med (2004) 55:459–75.10.1146/annurev.med.55.091902.104511
    1. Copelan EA. Hematopoietic stem-cell transplantation. N Engl J Med (2006) 354(17):1813–26.10.1056/NEJMra052638
    1. Ringden O, Karlsson H, Olsson R, Omazic B, Uhlin M. The allogeneic graft-versus-cancer effect. Br J Haematol (2009) 147(5):614–33.10.1111/j.1365-2141.2009.07886.x
    1. Gyurkocza B, Sandmaier BM. Conditioning regimens for hematopoietic cell transplantation: one size does not fit all. Blood (2014) 124(3):344–53.10.1182/blood-2014-02-514778
    1. Horowitz MM, Gale RP, Sondel PM, Goldman JM, Kersey J, Kolb HJ, et al. Graft-versus-leukemia reactions after bone marrow transplantation. Blood (1990) 75(3):555–62.
    1. Ferrara JL, Levine JE, Reddy P, Holler E. Graft-versus-host disease. Lancet (2009) 373(9674):1550–61.10.1016/S0140-6736(09)60237-3
    1. Levine JE, Hogan WJ, Harris AC, Litzow MR, Efebera YA, Devine SM, et al. Improved accuracy of acute graft-versus-host disease staging among multiple centers. Best Pract Res Clin Haematol (2014) 27(3–4):283–7.10.1016/j.beha.2014.10.011
    1. Filipovich AH, Weisdorf D, Pavletic S, Socie G, Wingard JR, Lee SJ, et al. National Institutes of Health consensus development project on criteria for clinical trials in chronic graft-versus-host disease: I. Diagnosis and staging working group report. Biol Blood Marrow Transplant (2005) 11(12):945–56.10.1016/j.bbmt.2005.09.004
    1. Arai S, Jagasia M, Storer B, Chai X, Pidala J, Cutler C, et al. Global and organ-specific chronic graft-versus-host disease severity according to the 2005 NIH consensus criteria. Blood (2011) 118(15):4242–9.10.1182/blood-2011-03-344390
    1. Paczesny S, Krijanovski OI, Braun TM, Choi SW, Clouthier SG, Kuick R, et al. A biomarker panel for acute graft-versus-host disease. Blood (2009) 113(2):273–8.10.1182/blood-2008-07-167098
    1. Ferrara JL, Harris AC, Greenson JK, Braun TM, Holler E, Teshima T, et al. Regenerating islet-derived 3-alpha is a biomarker of gastrointestinal graft-versus-host disease. Blood (2011) 118(25):6702–8.10.1182/blood-2011-08-375006
    1. Vander Lugt MT, Braun TM, Hanash S, Ritz J, Ho VT, Antin JH, et al. ST2 as a marker for risk of therapy-resistant graft-versus-host disease and death. N Engl J Med (2013) 369(6):529–39.10.1056/NEJMoa1213299
    1. Crossland RE, Norden J, Juric MK, Green K, Pearce KF, Lendrem C, et al. Expression of serum microRNAs is altered during acute graft-versus-host disease. Front Immunol (2017) 8:308.10.3389/fimmu.2017.00308
    1. Levine JE, Braun TM, Harris AC, Holler E, Taylor A, Miller H, et al. A prognostic score for acute graft-versus-host disease based on biomarkers: a multicentre study. Lancet Haematol (2015) 2(1):e21–9.10.1016/S2352-3026(14)00035-0
    1. Hartwell MJ, Ozbek U, Holler E, Renteria AS, Major-Monfried H, Reddy P, et al. An early-biomarker algorithm predicts lethal graft-versus-host disease and survival. JCI Insight (2017) 2(3):e89798.10.1172/jci.insight.89798
    1. McDonald GB, Tabellini L, Storer BE, Lawler RL, Martin PJ, Hansen JA. Plasma biomarkers of acute GVHD and nonrelapse mortality: predictive value of measurements before GVHD onset and treatment. Blood (2015) 126(1):113–20.10.1182/blood-2015-03-636753
    1. Hansen JA, Hanash SM, Tabellini L, Baik C, Lawler RL, Grogan BM, et al. A novel soluble form of Tim-3 associated with severe graft-versus-host disease. Biol Blood Marrow Transplant (2013) 19(9):1323–30.10.1016/j.bbmt.2013.06.011
    1. Abu Zaid M, Wu J, Wu C, Logan BR, Yu J, Cutler C, et al. Plasma biomarkers of risk for death in a multicenter phase 3 trial with uniform transplant characteristics post-allogeneic HCT. Blood (2017) 129(2):162–70.10.1182/blood-2016-08-735324
    1. Barak V, Levi-Schaffer F, Nisman B, Nagler A. Cytokine dysregulation in chronic graft versus host disease. Leuk Lymphoma (1995) 17(1–2):169–73.10.3109/10428199509051718
    1. Skert C, Damiani D, Michelutti A, Patriarca F, Arpinati M, Fili C, et al. Kinetics of Th1/Th2 cytokines and lymphocyte subsets to predict chronic GVHD after allo-SCT: results of a prospective study. Bone Marrow Transplant (2009) 44(11):729–37.10.1038/bmt.2009.80
    1. Fujii H, Cuvelier G, She K, Aslanian S, Shimizu H, Kariminia A, et al. Biomarkers in newly diagnosed pediatric-extensive chronic graft-versus-host disease: a report from the Children’s Oncology Group. Blood (2008) 111(6):3276–85.10.1182/blood-2007-08-106286
    1. Kitko CL, Levine JE, Storer BE, Chai X, Fox DA, Braun TM, et al. Plasma CXCL9 elevations correlate with chronic GVHD diagnosis. Blood (2014) 123(5):786–93.10.1182/blood-2013-08-520072
    1. Sarantopoulos S, Stevenson KE, Kim HT, Bhuiya NS, Cutler CS, Soiffer RJ, et al. High levels of B-cell activating factor in patients with active chronic graft-versus-host disease. Clin Cancer Res (2007) 13(20):6107–14.10.1158/1078-0432.CCR-07-1290
    1. Sarantopoulos S, Stevenson KE, Kim HT, Cutler CS, Bhuiya NS, Schowalter M, et al. Altered B-cell homeostasis and excess BAFF in human chronic graft-versus-host disease. Blood (2009) 113(16):3865–74.10.1182/blood-2008-09-177840
    1. Yu J, Storer BE, Kushekhar K, Abu Zaid M, Zhang Q, Gafken PR, et al. Biomarker panel for chronic graft-versus-host disease. J Clin Oncol (2016) 34(22):2583–90.10.1200/JCO.2015.65.9615
    1. Pratt LM, Liu Y, Ugarte-Torres A, Hoegh-Petersen M, Podgorny PJ, Lyon AW, et al. IL15 levels on day 7 after hematopoietic cell transplantation predict chronic GVHD. Bone Marrow Transplant (2013) 48(5):722–8.10.1038/bmt.2012.210
    1. Boukouaci W, Busson M, Peffault de Latour R, Rocha V, Suberbielle C, Bengoufa D, et al. MICA-129 genotype, soluble MICA, and anti-MICA antibodies as biomarkers of chronic graft-versus-host disease. Blood (2009) 114(25):5216–24.10.1182/blood-2009-04-217430
    1. Budde H, Papert S, Maas JH, Reichardt HM, Wulf G, Hasenkamp J, et al. Prediction of graft-versus-host disease: a biomarker panel based on lymphocytes and cytokines. Ann Hematol (2017) 96(7):1127–33.10.1007/s00277-017-2999-5
    1. Drokov MY, Davydova JO, Kuzmina LA, Galtseva IV, Kapranov NM, Vasilyeva VA, et al. Level of granzyme B-positive T-regulatory cells is a strong predictor biomarker of acute graft-versus-host disease after day +30 after allo-HSCT. Leuk Res (2017) 54:25–9.10.1016/j.leukres.2017.01.014
    1. Dander E, Balduzzi A, Zappa G, Lucchini G, Perseghin P, Andre V, et al. Interleukin-17-producing T-helper cells as new potential player mediating graft-versus-host disease in patients undergoing allogeneic stem-cell transplantation. Transplantation (2009) 88(11):1261–72.10.1097/TP.0b013e3181bc267e
    1. Forcade E, Kim HT, Cutler C, Wang K, Alho AC, Nikiforow S, et al. Circulating T follicular helper cells with increased function during chronic graft-versus-host disease. Blood (2016) 127(20):2489–97.10.1182/blood-2015-12-688895
    1. Paczesny S, Hakim FT, Pidala J, Cooke KR, Lathrop J, Griffith LM, et al. National Institutes of Health consensus development project on criteria for clinical trials in chronic graft-versus-host disease: III. The 2014 Biomarker Working Group report. Biol Blood Marrow Transplant (2015) 21(5):780–92.10.1016/j.bbmt.2015.01.003
    1. Ornatsky O, Bandura D, Baranov V, Nitz M, Winnik MA, Tanner S. Highly multiparametric analysis by mass cytometry. J Immunol Methods (2010) 361(1–2):1–20.10.1016/j.jim.2010.07.002
    1. Krams SM, Schaffert S, Lau AH, Martinez OM. Applying mass cytometry to the analysis of lymphoid populations in transplantation. Am J Transplant (2016).10.1111/ajt.14145
    1. Spitzer MH, Nolan GP. Mass cytometry: single cells, many features. Cell (2016) 165(4):780–91.10.1016/j.cell.2016.04.019
    1. Brodin P, Jojic V, Gao T, Bhattacharya S, Angel CJ, Furman D, et al. Variation in the human immune system is largely driven by non-heritable influences. Cell (2015) 160(1–2):37–47.10.1016/j.cell.2014.12.020
    1. Sen N, Mukherjee G, Arvin AM. Single cell mass cytometry reveals remodeling of human T cell phenotypes by varicella zoster virus. Methods (2015) 90:85–94.10.1016/j.ymeth.2015.07.008
    1. Fragiadakis GK, Baca QJ, Gherardini PF, Ganio EA, Gaudilliere DK, Tingle M, et al. Mapping the fetomaternal peripheral immune system at term pregnancy. J Immunol (2016) 197(11):4482–92.10.4049/jimmunol.1601195
    1. Lau AH, Vitalone MJ, Haas K, Shawler T, Esquivel CO, Berquist WE, et al. Mass cytometry reveals a distinct immunoprofile of operational tolerance in pediatric liver transplantation. Pediatr Transplant (2016) 20(8):1072–80.10.1111/petr.12795
    1. Proserpio V, Lonnberg T. Single-cell technologies are revolutionizing the approach to rare cells. Immunol Cell Biol (2016) 94(3):225–9.10.1038/icb.2015.106
    1. Blondal T, Brunetto MR, Cavallone D, Mikkelsen M, Thorsen M, Mang Y, et al. Genome-wide comparison of next-generation sequencing and qPCR platforms for microRNA profiling in serum. Methods Mol Biol (2017) 1580:21–44.10.1007/978-1-4939-6866-4_3
    1. Vignali DA. Multiplexed particle-based flow cytometric assays. J Immunol Methods (2000) 243(1–2):243–55.10.1016/S0022-1759(00)00238-6
    1. Gorelik E, Landsittel DP, Marrangoni AM, Modugno F, Velikokhatnaya L, Winans MT, et al. Multiplexed immunobead-based cytokine profiling for early detection of ovarian cancer. Cancer Epidemiol Biomarkers Prev (2005) 14(4):981–7.10.1158/1055-9965.EPI-04-0404
    1. Lagrelius M, Jones P, Franck K, Gaines H. Cytokine detection by multiplex technology useful for assessing antigen specific cytokine profiles and kinetics in whole blood cultured up to seven days. Cytokine (2006) 33(3):156–65.10.1016/j.cyto.2006.01.005
    1. Uhlin M, Masucci MG, Levitsky V. Regulation of lck degradation and refractory state in CD8+ cytotoxic T lymphocytes. Proc Natl Acad Sci U S A (2005) 102(26):9264–9.10.1073/pnas.0406333102
    1. Gertow J, Berglund S, Okas M, Uzunel M, Berg L, Karre K, et al. Characterization of long-term mixed donor-donor chimerism after double cord blood transplantation. Clin Exp Immunol (2010) 162(1):146–55.10.1111/j.1365-2249.2010.04212.x
    1. Maecker HT, Trotter J. Flow cytometry controls, instrument setup, and the determination of positivity. Cytometry A (2006) 69(9):1037–42.10.1002/cyto.a.20333
    1. Bruggner RV, Bodenmiller B, Dill DL, Tibshirani RJ, Nolan GP. Automated identification of stratifying signatures in cellular subpopulations. Proc Natl Acad Sci U S A (2014) 111(26):E2770–7.10.1073/pnas.1408792111
    1. Shekhar K, Brodin P, Davis MM, Chakraborty AK. Automatic classification of cellular expression by nonlinear stochastic embedding (ACCENSE). Proc Natl Acad Sci U S A (2014) 111(1):202–7.10.1073/pnas.1321405111
    1. Brodin P, Davis MM. Human immune system variation. Nat Rev Immunol (2017) 17(1):21–9.10.1038/nri.2016.125
    1. Atkinson K, Horowitz MM, Gale RP, van Bekkum DW, Gluckman E, Good RA, et al. Risk factors for chronic graft-versus-host disease after HLA-identical sibling bone marrow transplantation. Blood (1990) 75(12):2459–64.
    1. Carlens S, Ringden O, Remberger M, Lonnqvist B, Hagglund H, Klaesson S, et al. Risk factors for chronic graft-versus-host disease after bone marrow transplantation: a retrospective single centre analysis. Bone Marrow Transplant (1998) 22(8):755–61.10.1038/sj.bmt.1701423
    1. Przepiorka D, Anderlini P, Saliba R, Cleary K, Mehra R, Khouri I, et al. Chronic graft-versus-host disease after allogeneic blood stem cell transplantation. Blood (2001) 98(6):1695–700.10.1182/blood.V98.6.1695
    1. Nicholas KJ, Greenplate AR, Flaherty DK, Matlock BK, Juan JS, Smith RM, et al. Multiparameter analysis of stimulated human peripheral blood mononuclear cells: a comparison of mass and fluorescence cytometry. Cytometry A (2016) 89(3):271–80.10.1002/cyto.a.22799
    1. Chasset F, de Masson A, Le Buanec H, Xhaard A, de Fontbrune FS, Robin M, et al. APRIL levels are associated with disease activity in human chronic graft-versus-host disease. Haematologica (2016) 101(7):e312–5.10.3324/haematol.2016.145409
    1. van der Waart AB, van der Velden WJ, van Halteren AG, Leenders MJ, Feuth T, Blijlevens NM, et al. Decreased levels of circulating IL17-producing CD161+CCR6+ T cells are associated with graft-versus-host disease after allogeneic stem cell transplantation. PLoS One (2012) 7(12):e50896.10.1371/journal.pone.0050896
    1. Khandelwal P, Lane A, Chaturvedi V, Owsley E, Davies SM, Marmer D, et al. Peripheral blood CD38 bright CD8+ effector memory T cells predict acute graft-versus-host disease. Biol Blood Marrow Transplant (2015) 21(7):1215–22.10.1016/j.bbmt.2015.04.010
    1. de Masson A, Bouaziz JD, Le Buanec H, Robin M, O’Meara A, Parquet N, et al. CD24(hi)CD27(+) and plasmablast-like regulatory B cells in human chronic graft-versus-host disease. Blood (2015) 125(11):1830–9.10.1182/blood-2014-09-599159
    1. Rabin RL, Park MK, Liao F, Swofford R, Stephany D, Farber JM. Chemokine receptor responses on T cells are achieved through regulation of both receptor expression and signaling. J Immunol (1999) 162(7):3840–50.
    1. Groom JR, Luster AD. CXCR3 in T cell function. Exp Cell Res (2011) 317(5):620–31.10.1016/j.yexcr.2010.12.017
    1. Ferretti E, Ponzoni M, Doglioni C, Pistoia V. IL-17 superfamily cytokines modulate normal germinal center B cell migration. J Leukoc Biol (2016) 100(5):913–8.10.1189/jlb.1VMR0216-096RR
    1. Burger JA, Kipps TJ. Chemokine receptors and stromal cells in the homing and homeostasis of chronic lymphocytic leukemia B cells. Leuk Lymphoma (2002) 43(3):461–6.10.1080/10428190290011921
    1. Haraguchi K, Takahashi T, Hiruma K, Kanda Y, Tanaka Y, Ogawa S, et al. Recovery of Valpha24+ NKT cells after hematopoietic stem cell transplantation. Bone Marrow Transplant (2004) 34(7):595–602.10.1038/sj.bmt.1704582
    1. Tae Yu H, Youn JC, Lee J, Park S, Chi HS, Lee J, et al. Characterization of CD8(+)CD57(+) T cells in patients with acute myocardial infarction. Cell Mol Immunol (2015) 12(4):466–73.10.1038/cmi.2014.74
    1. Takenaka MC, Robson S, Quintana FJ. Regulation of the T cell response by CD39. Trends Immunol (2016) 37(7):427–39.10.1016/j.it.2016.04.009
    1. Balkwill F, Montfort A, Capasso M. B regulatory cells in cancer. Trends Immunol (2013) 34(4):169–73.10.1016/j.it.2012.10.007

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