- Open Access
Immunosuppressive Treg cells acquire the phenotype of effector-T cells in chronic lymphocytic leukemia patients
Journal of Translational Medicinevolume 16, Article number: 172 (2018)
In chronic lymphocytic leukemia (CLL) disease onset and progression are influenced by the behavior of specific CD4+ T cell subsets, such as T regulatory cells (Tregs). Here, we focused on the phenotypic and functional characterization of Tregs in CLL patients to improve our understanding of the putative mechanism by which these cells combine immunosuppressive and effector-like properties.
Peripheral blood mononuclear cells were isolated from newly diagnosed CLL patients (n = 25) and healthy volunteers (n = 25). The phenotypic and functional characterization of Tregs and their subsets was assessed by flow cytometry. In vitro analysis of TH1, TH2, TH17 and Tregs cytokines was evaluated by IFN-γ, IL-4, IL-17A and IL-10 secretion assays. The transcriptional profiling of 84 genes panel was evaluated by RT2 Profiler PCR Array. Statistical analysis was carried out using exact non parametric Mann–Whitney U test.
In all CLL samples, we found a significant increase in the frequency of IL-10-secreting Tregs and Tregs subsets, a significant rise of TH2 IL-4+ and TH17 IL-17A+ cells, and a higher percentage of IFN-γ/IL-10 and IL-4/IL-10 double-releasing CD4+ T cells. In addition, we also observed the up-regulation of innate immunity genes and the down-regulation of adaptive immunity ones.
Our data show that Tregs switch towards an effector-like phenotype in CLL patients. This multifaceted behavior is accompanied by an altered cytokine profiling and transcriptional program of immune genes, leading to a dysfunction in immune response in the peripheral blood environment of CLL patients.
Chronic lymphocytic leukemia (CLL) represents the most frequent leukemia in the Western world, with an annual incidence of about 4.5 new cases per 100,000 inhabitants . CLL is characterized by clonal expansion and accumulation of mature CD5 positive B cells in the peripheral blood, bone marrow and secondary lymphoid organs . Despite the introduction of promising therapeutic strategies, this disease remains incurable [3, 4]. T cell abnormalities are a peculiarity of CLL from the early stages onwards, regardless of disease progression . The dysfunction of the innate and adaptive immune system also contribute to increased susceptibility to bacterial and opportunistic infections in CLL patients [6, 7].
Disease onset and progression are influenced by the behavior of specific CD4+ T cell subsets, such as T regulatory cells (Tregs) [8, 9], which are characterized by constitutive expression of high levels of the interleukin (IL)-2 receptor α chain (CD25). The majority of CD4+CD25high Tregs also express a forkhead family transcription factor (FoxP3) which is required for both their differentiation and their immunosuppressive function . The suppressive function of Tregs may be related to different factors, such as modulation of target cell signaling via cell–cell contact and/or secretion of immunosuppressive cytokines such as IL-10, IL-35 and transforming growth factor β (TGF-β) [11, 12].
Tregs are capable of trans-differentiating into other effector CD4+ T cell subsets, by undertaking T-helper specific transcriptional program and releasing cytokines related to effector-like T cells [13,14,15]. Currently, there is no definitive evidence of the involvement of these populations in CLL onset or progression.
Here, we focused our attention on the phenotypic and functional characterization of Tregs subsets in untreated CLL patients to improve our understanding about the putative mechanism, throughout which these cells combine immunosuppressive and effector-like properties.
The study was performed in accordance with the principles laid down in the Declaration of Helsinki. After obtaining patient informed consent and the approval of the local Ethics Committee (Prot. No. IRST B031; approval date: 21 January 2015), samples of peripheral blood (15–20 ml) were collected from 25 untreated CLL patients enrolled at Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS in Meldola and at the Department of Medical Sciences of University of Ferrara—Arcispedale Sant’Anna in Ferrara. Another 25 healthy volunteers (HVs) were used as control. The need for donor consent was waived by the Ethics Committee. Clinical characteristics of patients are reported in Table 1.
Cell isolation and in vitro stimulation
Blood samples were collected in sterile EDTA tubes and peripheral blood mononuclear cells (PBMCs) were separated by density gradient centrifugation using Lymphosep (Biowest) and frozen in 90% heat-inactivated fetal bovine serum (FBS) (PAA) and 10% dimethylsulfoxide (Sigma Aldrich). In order to avoid contamination by CD4+ monocytes, these latter were depleted by CD14 MicroBeads-based negative selection (Miltenyi Biotec). Human CD4+ T cells were isolated by negative depletion of CD8+, CD14+, CD15+, CD16+, CD19+, CD36+, CD56+, CD123+, TCR y/δ and CD235a+ cells, using the CD4+ T cell isolation kit (Miltenyi Biotec), according to the manufacturer’s protocol. The isolated cells were fluorescently stained with CD4-FITC and analyzed by flow cytometry to verify the purity. Cells were cultured in RPMI 1640 medium (PAA) supplemented with 10% heat inactivated FBS, l-glutamine (2 mM, Euroclone), penicillin (100 U/ml) and streptomycin (100 μg/ml) (PAA). CD4+ cells were primed for 24 h at 37 °C with IL-6 (30 ng/ml, Miltenyi Biotec) overnight (o/n) and then incubated for 5 h at 37 °C with phorbol 12-myristate-13-acetate (P) (50 ng/ml), ionomycin (I) (1 μg/ml, Invitrogen) and GolgiStop Protein Transport Inhibitor (Monensin, BD recommended concentration) (M) based on polarization method previously reported by Musuraca et al. . An unstimulated control, prepared by incubating CD4+ cells with GolgiStop Protein Transport Inhibitor, was included for each experiment.
Tregs immunophenotypic analysis
For Tregs and effector-like T cells analysis, stimulated PBMCs were stained with CD4-FITC (0.6 μg/ml, clone SK3, BD Biosciences) and CD25-APC-Cy7 (2.5 μg/ml, clone M-A251, BD Biosciences) for 10 min at 4 °C in the dark. After incubation, cells were fixed, permeabilized and stained with FoxP3-APC (clone 3G3, Miltenyi Biotec) and with either Tbet-PE (clone REA102, Miltenyi Biotec) or GATA-3-PE (clone REA174, Miltenyi Biotec) or RORγt-PE (clone REA278, Miltenyi Biotec) for 30 min at 4 °C in the dark. Appropriate isotype controls were included for each sample.
Cytokine secretion analysis
Stimulated CD4+ cells were washed with cold PBS containing 0.5% (v/v) bovine serum albumin (BSA) (Sigma Aldrich) and 2 mM of EDTA and analyzed using human IFN-γ, IL-4, IL-17A and IL-10 secretion assay—detection kits (Miltenyi Biotec) according to the manufacturer’s instructions. Samples were washed and suspended for flow cytometric analysis.
T cell activation with C. Albicans and isolation of IL-17-secreting cells
CD4+ cells (2.5 × 106) were stimulated for 24 h at 37 °C with 1 μg/ml of C. albicans peptides (JPT, Berlin, Germany). During the last 5 h of incubation, cells were maintained in the presence of GolgiStop Protein Transport Inhibitor (BD Pharmingen). Cells were fixed, permeabilized and stained with IFN-γ-FITC (Miltenyi Biotec). A sample stimulated with C. Albicans for 48 h without depletion of IL-17-secreting cells was added as control.
Flow cytometric analysis was performed using a FACSCanto flow cytometer (Becton–Dickinson) equipped with 488 nm (blue) and 633 (red) lasers. 30.000 events were recorded for each sample. Acquisition and analysis gates were set on lymphocytes based on forward (FSC) and side scatter (SSC) properties of cells. FSC and SSC were set in a linear scale. Cell debris and dead cells were excluded from the analysis based on scatter signals and propidium iodide fluorescence. Flow cytometry data were analyzed with Diva Software (Becton–Dickinson).
IL-23 levels were evaluated in plasma obtained from HV and CLL patients by ELISA kit (U-CyTech Biosciences) according to the manufacturer’s instructions.
RNA extraction and RT2 Profiler PCR Arrays
Total RNA from 3 × 106 of CD4+ T cells was isolated using miRNeasy Micro Kit (Qiagen) according to the manufacturer’s instructions. RNA concentration and quality were evaluated by Nanodrop-ND-1000 (Celbio). cDNA was synthesized from 250 ng of total RNA using RT2 First Strand Kit (SABiosciences Corp.) following the manufacturer’s instructions and used to analyze the expression levels of 84 genes (Additional file 2: Table S1) by RT2 Profiler Human Innate & Adaptive Immune Responses PCR Array (PAHS-052Z, SABiosciences Corp.). Real-Time PCR amplification was carried out on 7500 Real-Time PCR System (Applied Biosystems). The online tool RT2 Profiler data analysis software (Qiagen) was used for data normalization and statistical analyses. The threshold cut-off point was established at > 2.5-fold differential expression.
Statistical analysis was carried out using exact nonparametric Mann–Whitney U test (GraphPad Prism 6), and data were summarized by the median and interquartile range. P values < 0.05 were considered as significant.
Increased Tregs frequency in peripheral blood of untreated CLL patients
First, we focused on the frequency of circulating Tregs by assessing the percentage of CD4+CD25highFoxP3+ T cells in the peripheral blood of untreated CLL patients (n = 15) and sex-and age-matched HVs (n = 15). The flow cytometric analysis of Tregs was performed on PBMCs after priming with IL-6 o/n and PIM for 5 h. CD4+ T cells with a mean fluorescence intensity of CD25 expression ≥ 10-fold the negative cut-off were classified as CD25high based on the data previously reported by Musuraca et al.  (Fig. 1a). A significantly higher frequency of Tregs was found in CLL patients compared to HVs in stimulated PBMCs (3.1%, range 1.5–6.7% vs 0.6%, range 0.1–4.1%, respectively, P = 0.006) (Fig. 1b). To further elucidate the suppressive role of Tregs, we evaluated their capacity to release IL-10, observing a significant increase of IL-10+ Tregs in patients with respect to HVs (1%, range 0.2–10.6% vs 0.6%, range 0.2–3.1%, respectively) (Fig. 1c).
Tregs subsets expansion in the peripheral blood of untreated CLL patients
Owing to the Tregs capacity of transdifferentiation into other CD4+ T cells, we characterized the phenotypic profiling of Tregs subsets, by evaluating the co-expression of FoxP3 with effector-T-associated transcription factors, namely Tbet, GATA-3 and RORγt. We observed a significant increase in the frequency of all three Treg populations in CLL patients than HVs, namely Tregs Tbet+ (0.7%, range 0.2–2.8% vs 0.1%, range 0.03–1.1%, respectively), Tregs GATA-3+ (0.1%, range 0.01–2.4% vs 0%, range 0–0.1%, respectively), Tregs RORγt+ (0.7%, range 0.1–3.9% vs 0.03%, range 0–0.2%, respectively) (Fig. 1d). These results highlight the capacity of Tregs to switch in an effector-like phenotype.
Alteration in T cell-associated cytokine profiling in the peripheral blood of untreated CLL patients
In addition to the analysis of the Tregs subpopulation, we characterized the phenotypic and functional profiling of TH1, TH2 and TH17 subsets in whole CD4+ T cells. First, we analysed the expression of Tbet, GATA-3 and RORγt in total CD4+ T cells after IL-6 o/n and PIM for 5 h, without observing any significant differences between patients and HVs (Fig. 2a). We then considered the capacity of CD4+ T subsets to release IFN-γ, IL-4, IL-17A after in vitro stimulation with IL-6 o/n and PIM for 5 h (Fig. 2b). A significant increase was seen in the frequency of TH2 IL-4+ and TH17 IL-17A+ cells in CLL patients with respect to HVs (1.9%, range 1.7–3.1% and 2.8%, range 0.6–4.6% vs 1%, range 0.7–1.2% and 1.6%, range 0.5–3.5%, respectively), whereas the percentage of TH1 IFN-γ+ cells remained unchanged (Fig. 2b). Moreover, we examined the ability of the in vitro stimulated CD4+ T cells to simultaneously secrete IFN-γ/IL-10, IL-4/IL-10 and IL-17A/IL-10 (Fig. 2c), thereby acquiring a Treg-like phenotype. We observed a statistically significant increase in the frequency of IFN-γ+/IL-10+ and IL-4+/IL-10+ cells in CLL patients compared to HVs (0.6%, range 0.4–0.9% and 0.6%, range 0.3–0.8% vs 0.25%, range 0.1–0.4% and 0.2%, range 0.0–0.4%, respectively), whereas the percentage of IL-17A+/IL-10+ cells remained unchanged (Fig. 2c). Owing to circulating Tregs that represent approximately 5–8% of total CD4+ T cells, the analysis could not be performed in this subset.
Overall, the altered cytokine profiling described in the peripheral blood environment in CLL patients, suggesting a dysfunction in immune response.
Elevated IL-23 levels in the plasma of untreated CLL patients
The induction of the TH17-associated pro-inflammatory response is also likely to involve IL-23, which plays a key role in orchestrating T cell-mediated inflammatory pathways and promoting TH17 differentiation and function. We evaluated IL-23 level in plasma samples obtained from HV (n = 10) vs CLL (n = 10), observing a statistically significant increase in patients compared to HVs (57.21%, range 20.87–172.8% vs 13.3%, range 7.06–32.22%, respectively; P = 0.0003) (Additional file 1: Fig. S1). These results suggest that the increase of TH17 IL-17A+ observed in CLL patients may be attributed to the stimulatory interplay with IL-23.
Increased frequency of IFN-γ+ CD4+ T cells after stimulation with C. Albicans in CLL patients
In order to evaluate CD4+ cell-mediated immune response in terms of IFN-γ production, we in vitro stimulated CD4+ T cells with C. Albicans (Fig. 3a, b). As shown in Fig. 3b, the frequency of IFN-γ+ cells was higher in patients than in HVs (2.2%, range 1.6–2.8% vs 0.7%, range 0.2–0.7%, respectively; P = 0.008). This in vitro functional proof confirms that TH17 cells have a key role in promoting the inflammatory response not only by releasing large amount of IL-17, but also IFN-γ after fungal stimulus.
Altered transcriptional profiling of genes involved in Innate and Adaptive Immune processes in CD4+ T cells of CLL patients
We evaluated the transcriptional profiling of 84 genes involved in Innate and Adaptive Immune processes in isolated CD4+ T cells from HVs (n = 10) and CLL patients (n = 10) after in vitro stimulation with IL-6 o/n and PIM for 5 h (Additional file 2: Table S1). We tried to counterbalance the limit of small number of samples by using a more stringent threshold to consider genes differentially expressed in a significant manner.
This panel was chosen because most of the genes studied were involved in development, differentiation and activity of total Tregs and subsets. The transcriptional profiling analysis was performed on total CD4+ T cells due to the limiting amount of total RNA from isolated circulating Tregs.
A total of 17 (20%) genes were differentially expressed between CLL and HVs cells with changes > 2.5-fold (Fig. 4a, b). Among these, 9 genes (CD40, IRF7, CD80, CD86, LY96, TLR1, TLR6, MX1 and TLR7) were significantly up-regulated and 8 genes (CXCR3, NLRP3, CCR4, IL1R1, IL23A, RORC, CSF2, FASLG) resulted significantly down-regulated (Fig. 4a, b). The altered transcriptional profiling of CLL CD4+ T cells was characterized by the up-regulation of innate immunity and a down-regulation of adaptive immunity genes.
It has been reported that T cells abnormalities may contribute to the immunopathogenesis of CLL by supporting leukemic clone proliferation and survival [8, 9, 17]. Recent investigations on the role of Tregs have suggested that tumors may subvert tumor immunity by promoting the expansion, recruitment, and activation of this T cell subset [18, 19]. Interestingly, study by Ai et al. showed that follicular lymphoma B cells induced the phenotypic switch from effector-T cells into Tregs when co-cultured with PBMCs from healthy donors .
Our data describe a multifaceted identity of Tregs in CLL patients. In particular, Tregs show the capacity of switching towards an effector-like phenotype. In addition, we reported a dysfunction in immune response in the peripheral blood environment in CLL patients characterized by an altered cytokine and transcriptional profiling.
In line with several studies, we observed a significant increase in Tregs frequency and in their capacity to produce IL-10 in the peripheral blood of CLL patients with respect to HVs [21,22,23,24,25,26,27,28,29,30]. Our findings also revealed a higher expression of Tbet, GATA-3 and RORγt in FoxP3+Tregs in patients, suggesting a phenotypic switch towards TH1, TH2 and TH17 cells after differentiation stimuli (Fig. 4c). We also noted a significant increase in the capacity of CD4+ T cells to release IL-10 in combination with IFN-γ or IL-4, suggesting a Tregs-like behavior (Fig. 4c) . On the one hand, Tregs combine immunosuppressive and inflammatory functions, on the other, TH17 and TH2 effector cells contribute to promote an inflammatory response to infectious stimuli. In line with the literature [32, 33], we showed an increased percentage of TH2 IL-4+ and TH17 IL-17A+ in CLL patients than HVs. In addition to these findings, we also described an altered transcriptional program in CLL patients. In particular, in patients we observed an up-regulation of members of the Toll-like receptor (TLR) family (TLR1, TLR6 and TLR7) that seem to be involved in the modulation of Tregs suppressive function  and production of inflammatory cytokines . Moreover, CD80 and CD86 involved in the generation of Tregs [18, 19], and CD40, a marker for pathogenetic T cells-producing pro-inflammatory cytokines such as IL-17A [36, 37], were present at high levels in CLL patients. Conversely, genes involved in apoptosis (FASLG) and leukocyte trafficking and differentiation (CXCR3, CCR4, CSF2), regulation of inflammatory response (IL-1R1) and inflammasome composition (NLRP3) were down-regulated. In particular, the low levels of NLRP3 transcript in CLL patients may play a putative role in supporting leukemic cell growth, in line with data by Salaro et al. sustaining that NLRP3 interferes with CLL progression in virtue of its ability to modulate cytokine release and apoptosis, and thus controls inflammation . With regard to the down-regulation of important genes involved in T cell development and differentiation, e.g. CXCR3, IL-23A and RORC, we hypothesize a mechanism of negative regulation related to a sub-subset of TH17 known as TH17-23 which generates the effector cells involved in anti-tumor immunity .
Our study has a number of limitations. First, the low number of enrolled patients and the short follow-up (1.5 years) did not allow us to correlate the biological values related to effector-like Tregs with clinical characteristics. Second, we performed some explorative analysis such as transcriptional profiling, Candida assay and IL-23 plasma levels on a small number of patients enrolled afterwards. As future perspectives, these analysis will be validated on a greater number of patients.
Our cellular and molecular data highlighted, for the first time in CLL, the presence of specific subsets of Tregs that show phenotypic and functional characteristics of effector-T cells. We hypothesize that, on the one hand, these Tregs subsets may suppress adaptive immune responses, and on the other, create an inflammatory environment that probably sustains leukemic B clone survival and expansion. These subsets could thus represent an attractive and promising therapeutic target for the treatment of the disease thanks to their dual role.
chronic lymphocytic leukemia
T regulatory cells
interleukin (IL)-2 receptor α chain
forkhead family transcription factor
transforming growth factor β
peripheral blood mononuclear cells
fetal bovine serum
bovine serum albumin
Hallek M, Cheson BD, Catovsky D, Caligaris-Cappio F, Dighiero G, Döhner H, et al. International workshop on chronic lymphocytic leukemia. 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. 2008;111:5446–56.
ten Hacken E, Burger JA. Molecular pathways: targeting the microenvironment in chronic lymphocytic leukemia-focus on the B-cell receptor. Clin Cancer Res. 2014;20:548–56.
Chiorazzi N, Rai KR, Ferrarini M. Chronic lymphocytic leukemia. N Engl J Med. 2005;352:804–15.
Scarfò L, Ferreri AJ, Ghia P. Chronic lymphocytic leukaemia. Crit Rev Oncol Hematol. 2016;104:169–82.
Rossi D, Sozzi E, Puma A, De Paoli L, Rasi S, Spina V, et al. The prognosis of clinical monoclonal B cell lymphocytosis differs from prognosis of Rai 0 chronic lymphocytic leukaemia and is recapitulated by biological risk factors. Br J Haematol. 2009;146:64–75.
Scrivener S, Kaminski ER, Demaine A, Prentice AG. Analysis of the expression of critical activation/interaction markers on peripheral blood T cells in B-cell chronic lymphocytic leukaemia: evidence of immune dysregulation. Br J Haematol. 2001;112:959–64.
Forconi F, Moss P. Perturbation of the normal immune system in patients with CLL. Blood. 2015;126:573–81.
Scrivener S, Goddard RV, Kaminski ER, Prentice AG. Abnormal T-cell function in B-cell chronic lymphocytic leukaemia. Leuk Lymphoma. 2003;44:383–9.
Mellstedt H, Choudhury A. T and B cells in B-chronic lymphocytic leukaemia: faust, mephistopheles and the pact with the devil. Cancer Immunol Immunother. 2006;55:210–20.
Hori S, Nomura T, Sakaguchi S. Control of regulatory T cell development by the transcription factor Foxp3. Science. 2003;299:1057–61.
Plitas G, Rudensky AY. Regulatory T Cells: differentiation and function. Cancer Immunol Res. 2016;4:721–5.
D’Arena G, Simeon V, D’Auria F, Statuto T, Sanzo PD, Martino LD, et al. Regulatory T-cells in chronic lymphocytic leukemia: actor or innocent bystander? Am J Blood Res. 2013;3:52–7.
Hye-Jung K, Harvey C. CD4 T-cell subsets and tumor immunity: the helpful and the Not-so-Helpful. Cancer Immunol Res. 2014;2:91–8.
Li L, Boussiotis VA. Molecular and functional heterogeneity of T regulatory cells. Clin Immunol. 2011;141:244–52.
Barnes MJ, Powry F. Hybrid Treg cells: steel frames and plastic exteriors. Nat Immunol. 2009;10:563–4.
Musuraca G, De Matteis S, Napolitano R, Papayannidis C, Guadagnuolo V, Fabbri F, et al. IL-17/IL-10 double-producing T cells: new link between infections, immunosuppression and acute myeloid leukemia. J Transl Med. 2015;13:229.
Herishanu Y, Katz BZ, Lipsky A, Wiestner A. Biology of chronic lymphocytic leukemia in different microenvironments: clinical and therapeutic implications. Hematol Oncol Clin North Am. 2013;27:173–206.
Collison LW, Pillai MR, Vignali DA. The development and function of regulatory T cells. Cell Mol Life Sci. 2009;66:2603.
Yang ZZ, Novak AJ, Ziesmer SC, Witzig TE, Ansell SM. Malignant B cells skew the balance of regulatory T cells and TH17 cells in B-cell non-Hodgkin’s lymphoma. Cancer Res. 2009;69:5522–30.
Ai WZ, Hou JZ, Zelser R, Czerwinski D, Negrin RS, Levy R. Follicular lymphoma B cells induce the conversion of conventional CD4+ T cells to T-regulatory cells. Int J Cancer. 2009;124:239–44.
Weiss L, Melchardt T, Egle A, Grabmer C, Greil R, Tinhofer I. Regulatory T cells predict the time to initial treatment in early stage chronic lymphocytic leukemia. Cancer. 2011;117:2163–9.
Jadidi-Niaragh F, Ghalamfarsa G, Memarian A, Asgarian-Omran H, Razavi SM, Sarrafnejad A, Shokri F. Downregulation of IL-17-producing T cells is associated with regulatory T cell expansion and disease progression in chronic lymphocytic leukemia. Tumor Biol. 2013;34:929–40.
Giannopoulos K, Schmitt M, Kowal M, Wlasiuk P, Bojarska-Junak A, Chen J, Rohmski J, Dmoszynska A. Characterization of regulatory T cells in patients with B-cell chronic lymphocytic leukemia. Oncol Rep. 2008;20:677–82.
Biancotto A, Dagur PK, Fuchs JC, Wiestner A, Bagwell CB, McCoy JP. Phenotypic complexity of T regulatory subsets in patients with B chronic lymphocytic leukemia. Mod Pathol. 2012;25:246–59.
Beyer M, Kochanek M, Darabi K, Popov A, Jensen M, Endl E, Knolle PA, Thomas RK. Regulatory T-cells and chronic lymphocytic leukemia. Am J Blood Res. 2013;3:52–7.
Bergwelt-Baildon M, Debey S, Hallek M, Schultze JL. Reduced frequencies and suppressive function of CD4+ CD25hi regulatory T cells in patients with chronic lymphocytic leukemia after therapy with fludarabine. Blood. 2005;106:2018–23.
Palma M, Gentilcore G, Heimersson K, Mozaffari F, Näsman-Glaser B, Young E, et al. T cells in chronic lymphocytic leukemia display dysregulated expression of immune checkpoints and activation markers. Haematologica. 2017;102:562–72.
Lad DP, Varma S, Varma N, Sachdeva MU, Bose P, Malhotra P. Regulatory T-cells in B-cell chronic lymphocytic leukemia: their role in disease progression and autoimmune cytopenias. Leuk Lymphoma. 2013;54:1012–9.
Beyer M, Kochanek M, Darabi K, Popov A, Jensen M, Endl E, et al. Reduced frequencies and suppressive function of CD4+ CD25hi regulatory T cells in patients with chronic lymphocytic leukemia after therapy with fludarabine. Blood. 2005;106:2018–25.
Podhorecka M, Dmoszynska A, Rolinski J, Wasik E. T type 1/type 2 subsets balance in B-cell chronic lymphocytic leukemia—the three-color flow cytometry analysis. Leuk Res. 2002;26:657–60.
Kitz A, Dominguez-Villar M. Molecular mechanisms underlying Th1-like Treg generation and function. Cell Mol Life Sci. 2017;74:4059–75.
Jain P, Javdan M, Feger FK, Chiu PY, Sison C, Damle RN, et al. Th17 and non-Th17 interleukin-17-expressing cells in chronic lymphocytic leukemia: delineation, distribution, and clinical relevance. Haematologica. 2012;97:599–607.
Sherry B, Jain P, Chiu PY, Leung L, Allen SL, Kolitz JE. Identification and characterization of distinct IL-17F expression patterns and signaling pathways in chronic lymphocytic leukemia and normal B lymphocytes. Immunol Res. 2015;63:216–27.
Liu G, Zhang L, Zhao Y. Modulation of immune responses through direct activation of Toll-like receptors to T cells. Clin Exp Immunol. 2010;160:168–75.
Seledtsov VI, Seledtsova GV. A balance between tissue-destructive and tissue-protective immunities: a role of toll-like receptors in regulation of adaptive immunity. Immunobiology. 2012;217:430–5.
Vaitaitis GM, Carter JR, Waid DM, Olmstead MH, Wagner DH Jr. An alternative role for Foxp3 as an effector T cell regulator controlled through CD40. J Immunol. 2013;191:717–25.
Vaitaitis GM, Waid DM, Yussman MG, Wagner DH Jr. CD40-mediated signalling influences trafficking, T-cell receptor expression, and T-cell pathogenesis, in the NOD model of type 1 diabetes. Immunology. 2017;152:243–54.
Salaro E, Rambaldi A, Falzoni S, Amoroso FS, Franceschini A, Sarti AC, et al. Involvement of the P2X7-NLRP3 axis in leukemic cell proliferation and death. Sci Rep. 2016;6:26280.
Yousefi M, Movassaghpour AA, Shamsasenjan K, Ghalamfarsa G, Sadreddini S, Jadidi-Niaragh F, Hojjat-Farsangi M. The skewed balance between Tregs and Th17 in chronic lymphocytic leukemia. Future Oncol. 2015;11:1567–82.
SDM and CM conceived the idea, developed the methodology, designed the experiments and analysed the experiments. GA, TR, RN, MG, AGLDR performed the experiments. GM, AL, GMR, PPF, AC, DC, MB and GM supervised the manuscript. All authors read and approved the final manuscript.
The authors thank Dr. Massimo Guidoboni (Immunotherapy Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy) for his conceptual contribution, and Gráinne Tierney for English language editing.
The authors declare that they have no competing interests.
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