Introduction
Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a potentially curative procedure for patients with hematological malignancies, although leukemia relapse remains one of the most common causes of treatment failure after transplant. However, the precise biological mechanism responsible for relapse remains unclear. Allo-HSCT can also be considered a type of immunotherapy directed toward malignant hematologic diseases or the graft-versus-leukemia (GVL) effect due to either infused immunocytes in the graft or reconstituted T cells after transplant. Thus, it would be beneficial to identify particular subsets of T cells related to the GVL effect as well as graft-versus-host disease (GVHD). Furthermore, confirmation of any correlation between clinical relapse and a specific subset of T cells, as well as further elucidation of the mechanism behind this phenomenon, would be beneficial for exploring new methods of adoptive immunotherapy and preventive strategies against post-transplant relapse.
There is mounting evidence suggesting that regulatory T cells (Tregs) play an important role in maintaining immune homeostasis and regulating negative immune responses [
1,
2]. It has been shown that Tregs possess the capacity to suppress T cell-mediated GVHD after allo-HSCT [
3‐
7]. However, several studies have demonstrated that the presence of Tregs in either the tumor microenvironment or circulation might be involved in immune escape mechanisms and the failure of the host to trigger an efficient immunological antitumor response [
8‐
10]. Currently, 3 major subtypes of CD4+ Tregs have been recognized to negatively regulate the immune response: CD4+CD25+Foxp3+ cells, Tr1 cells and Th3 cells [
11‐
13]. However, the ineffectiveness of treatment towards CD4+CD25- Tregs in cancer therapy indicates that there may be other mechanisms responsible for the ability of tumor cells to evade immunological attack. Recently, a new subset of CD4+ Tregs that primarily express CD4 and CD69, but not CD25, has been identified in a tumor-bearing mouse model [
14]. Han et al. demonstrated that this new type of Tregs could exert immunosuppressive activity via cell-cell contact with membrane-bound TGF-β1 in mice [
14]. Another study confirmed that an increase in the number of CD4+CD25-CD69+ Tregs among both the peripheral blood and liver-infiltrating lymphocytes of hepatocellular carcinoma (HCC) patients were correlated with tumor size, vascular invasion and disease stage [
15].
Based on these reports, our colleagues demonstrated that a high frequency and increased number of CD4+CD25-CD69+ T cells in the peripheral blood were associated with a reduced risk of acute GVHD. Additionally, a low percentage of this subset of T cells in allografts was shown to predict an increased risk of acute GVHD [
16]. These data suggested immunomodulatory effects of these cells and led us to investigate the possible functional roles of CD4+CD25-CD69+ T cells in leukemia relapse after transplantation. Until now, there have been no reports on the immune regulatory action of this subset of Tregs in the relapse of malignant hematological disease. Therefore, we sought to assess the clinical correlation between the number of CD4+CD25-CD69+ T cells in donor bone marrow and leukemia relapse after allo-HSCT, and we also performed a preliminary exploration into the potential immune mechanism responsible for this association.
Methods
Patients
Twenty-nine patients with malignant hematological disease who were treated with non-T-cell-depleted allo-HSCT at the Peking University Institute of Hematology from November 2009 to April 2011, including patients undergoing hematological relapse (n = 22) and those with detectable minimal residual disease (MRD, n = 7), were selected as the initial subjects. The remaining 56 patients who received allo-HSCT from October 2009 to July 2010 were also enrolled in this study for the prospective cohort analysis. This study was approved by the ethics committee of Peking University People’s Hospital. Written informed consent was obtained from all patients prior to their entry into the study in accordance with the Declaration of Helsinki. The patient and transplant characteristics are summarized in Additional file
1: Table S1 & Table
1.
Table 1
The clinical characteristics of the other 56 patients received allo-HSCT
Number | 56 |
Patient age, median (range) age | 31 (8–54) |
Patient sex, male, n (%) | 31 (55.0%) |
Patient/donor HLA incompatibility | |
Related matched | 16 |
Related mis-matched | 40 |
Diagnosis | |
AML,n (%) | 29 |
CML,n (%) | 1 |
B-ALL,n (%) | 24 |
MDS,n (%) | 1 |
BAL,n (%) | 1 |
Disease status | |
High risk | 29 (52.0%) |
Standard risk | 27 (48.0%) |
Situation after allo-HSCT | |
No relapse indication | 42 |
MRD+ | 7 |
Haematological relapse | 5 |
Extramedullary relapse | 2 |
Transplant protocols
All of the patients in this study received myeloablative conditioning regimens. Transplantations were performed as previously described [
17,
18]. Patients who received human leukocyte antigen (HLA)-matched related transplants were treated with either the combination of busulfan (BU, 0.8 mg/kg iv, q6h) and cyclophosphamide (CTX, 1.8 g/m
2/d for 2 d) or total body irradiation (TBI, 7.7 Gy), given as 1 fraction, followed by CTX. Patients who received related HLA-mismatched transplants were conditioned with either BU + CTX + human antithymocyte globulin (ATG, Sang Stat, Lyon, France) (2.5 mg/kg/d iv for 4 d) or TBI + CTX + ATG. All patients received G-CSF-mobilized bone marrow (BM) and peripheral blood stem cell transfusion followed by cyclosporine (CSA), mycophenolate mofetil (MMF) and short-term methotrexate (MTX). CSA was started on −9 d at a dosage of 2.5 mg/kg iv. The dosage of CSA was adjusted to the blood concentration of 150–250 ng/ml and was gradually reduced and eventually discontinued approximately 4 to 6 months after HSCT. MTX (15 mg/m
2) was administered by iv on +1 d; patients undergoing related mismatched HSCT were treated with 10 mg/m
2 MTX on +3 d, +5 d and +11 d, whereas patients undergoing related matched HSCT were treated with 10 mg/m
2 MTX on +3 d and +6 d.
Sample collection
Bone marrow from the initial 29 subjects was collected either upon hematological relapse or the detection of MRD. Among these patients, the bone marrow samples of 19 patients who received interventions were also collected. The number of days after the last stem cell infusion is marked with a ‘+’. The MRD status of the 56 patients enrolled in the prospective cohort study was examined at the following time points: +30 d, +60 d, +90 d, +180 d, +270 d and +360 d. Bone marrow samples from patients at the aforementioned time points were also prospectively collected for MRD examination and to determine the number of CD4+CD25-CD69+ cells by flow cytometry (FCM).
Antibodies and FCM
Bone marrow samples were stained with anti-CD4 peridinin chlorophyll protein (PerCP), anti-CD25 phycoerythrin (PE), anti-CD69 allophycocyanin (APC), anti-CD122 PE and isotype-matched mouse antibodies (BD Biosciences, Mountain View, CA, USA). Flow cytometry was performed using a BD FACSSort machine (Becton Dickinson Biosciences, San Jose, CA, USA). The frequency of CD4+CD25-CD69+ T cells was calculated as the percentage of positive cells in the CD4+ T cell fraction and is shown as the median (range, 25th-75th percentiles). The data were analyzed using CellQuest software (BD Biosciences).
Definitions
Neutrophil recovery was defined as a neutrophil count >0.5 × 10
9/l for 3 consecutive days, and platelet recovery was defined as a platelet count >20 × 10
9/l without transfusions for 7 consecutive days. Patients with malignancies were categorized as ‘standard risk’ if they were either in the first or second complete remission (CR1 or CR2) for acute leukemia or in the chronic phase of chronic myeloid leukemia (CML). Patients were classified as ‘high risk’ if they were past the CR2 phase of acute leukemia, not in remission, Philadelphia chromosome (Ph)-positive, beyond the first chronic phase of CML or myelodysplastic syndrome with refractory anemia with excess of blasts (MDS-RAEB). Hematological relapse was defined as either the reappearance of blasts in the peripheral blood or an unattained CR following a course of standard antileukemia therapy, in which BM was infiltrated with >5% but <20% blasts in a representative smear. The positive MRD (MRD+) used in this study was defined based on the detection of abnormal expression of leukemia-specific genes such as BCR/ABL, AML1/ETO, CBFβ/MYH11, E2A-PBX1 and WT1 and/or leukemia-associated aberrant immune phenotypes (LAIPs). Patients with specific leukemia fusion genes, including AML1/ETO or CBFβ/MYH11, over one log rising, or with other detectable fusion genes, including E2A-PBX1, MLL/AF4 and TLS-ERG, were defined as MRD+. For those patients without leukemia-specific genes, detection of MRD was performed as previously reported [
19].
Isolation and purification of CD4 + CD25-CD69+ T cells
Bone marrow mononuclear cells (BMNC) were isolated from freshly obtained, heparinized bone marrow samples (10 ml) by Ficoll-Hypaque density gradient (1.077 g/dl) centrifugation at 1,500 rpm for 15 minutes. After washing twice, the cells were resuspended in magnetic-activated cell sorting (MACS) buffer (0.5% FBS, 2 mM EDTA in PBS, pH = 7.2). First, CD4+ T cells were negatively selected using the CD4+ T Cell Isolation Kit (Miltenyi Biotec, Auburn, CA; Order no. 130096533) according to the manufacturer’s protocol. The purity of each population was confirmed by FCM to be >95%. Subsequently, the selected CD4+ T cells were incubated with CD25 MicroBeads II (Miltenyi Biotec, Auburn, CA; Order no. 130092983), and CD4+CD25- T cells were isolated according to the manufacturer’s protocol. The purity of each population was confirmed by FCM to be >90%. Finally, the CD69 MicroBead Kit II was used to isolate CD69+ cells from the CD4+CD25- T cells. The isolated cells were stained with anti-CD69 APC antibody to test the purity of the CD4+CD25-CD69+ T cells through FCM analysis.
Cell surface phenotyping and intracellular staining by flow cytometry
Anti-TGF-β PE, anti-IL-2 PE, anti-IL-10 PE, the other fluorescent antibodies mentioned above and the respective isotype controls were added to BMNCs at 1 × 106/l and incubated for 30 min at 4°C in the dark. The cells were washed once with ice-cold PBS (pH 7.2) containing 0.1% NaN3 and 0.5% BSA and resuspended in 200 μl PBS. For intracellular staining, the cells were fixed and permeabilized for 30 min using the eBioscience Staining Intracellular Antigens for Flow Cytometry Kit (eBioscience, San Diego, CA, USA). The cells were washed with permeabilization buffer and labeled with cytokine-specific fluorescence-conjugated anti-IL-2, anti-IL-10 or anti-TGF-β antibodies or the respective isotype-matched Ig controls. The other BMNCs were placed in Iscove’s modified Dulbecco’s medium (IMDM) and incubated with phorbol myristate acetate (PMA) (100 ng/ml) plus ionomycin (1.0 μg/ml, all reagents from Sigma Chemical) for 5 h to stimulate maximum cytokine production; Golgistop (0.7 μl/ml, BD Pharmingen) was added to the samples during the last 4 h to trap the protein in the cytoplasm.
Statistical analysis
Statistical analyses were performed using SPSS 18.0 (IBM Corporation, Armonk, NY, USA). The data were summarized as median values (range, 25th-75th percentiles). The Mann–Whitney U test was used for independent sample comparisons between different groups. For 2-related-sample comparisons of continuous variables, a 2-sided Wilcoxon rank-sum test was performed. The Chi-square test was used for categorical variables. All stated P-values are 2-sided, with P < 0.05 defined as statistically significant.
Discussion
Among the main recognized subsets of CD4+ T cells involved in negative regulation of the immune response, most studies have focused on the regulatory function of CD4+CD25 + Foxp3+ Tregs [
20]. In addition to these well-characterized CD4+CD25+ Tregs, CD4+CD25- T cells have also been shown to display inhibitory immune function in some animal models [
21‐
23]. This T cell subset was shown to mediate immune tolerance by attenuating the autoimmune response via both cell-cell contact mechanisms and the regulation of soluble factor expression (IL-10 and IFN-γ) [
24]. These reports provided new insight into the mechanisms of tolerance to allografted transplant. However, CD4+CD25-CD69+ T cells, which were the subject of our study, not only possessed a unique immunophenotype but also functioned independently of cytokine secretion. Previous studies have demonstrated the immunosuppressive role of CD4+CD25- Tregs in solid tumor models [
14,
15], but to our knowledge, no study has focused on the functional roles of this newly identified T cell subset in the development of hematological malignant disease as well as immunoregulation after allo-HSCT. Here, we investigated the functional roles of this subset of T cells in patients with hematological malignancy after allo-HSCT. Thus, this is the first study to explore the relationship between CD4+CD25-CD69+ T cells and the progression of hematological tumors post-transplantation. Our results indicate this relationship to be an extension of the immunoregulatory role of these newly identified Tregs beyond their role in solid tumors.
It remains controversial which source of CD4+CD25-CD69+ T cells should be selected as the target for tumor immunity. According to the pathogenesis of acute GVHD, it is likely the CD4+CD25-CD69+ T cells in the peripheral blood that display a significant inhibitory effect during the course of GVHD. Regarding antitumor immunity, previous studies have been performed in tumor-bearing mouse models and patients with HCC (liver-infiltrating lymphocytes), and it is known that tumor cells can recruit and enrich Tregs to suppress antitumor activity [
8,
10]. Because hematological malignant cells are derived from and primarily localize in the bone marrow, we selected CD4+CD25-CD69+ T cells from the bone marrow as the focus of our study. Indeed, we observed a correlation between leukemia relapse and the frequency of this new type of Treg. Additionally, these T cells were also positively correlated to tumor burden prior to any intervention after transplant. We then sought to examine whether CD4+CD25-CD69+ T cells were directly responsible for relapse or if the presence of a tumor induced the increase in this subset of T cells, which led us to the following question: what is the biological role of CD4+CD25-CD69+ T cells during allo-HSCT?
Our preliminary data demonstrated that the frequencies of these non-traditional Tregs were relatively high compared to those of normal control subjects at each time point post-transplantation except at +30 d. This finding indicated that these CD4+CD25-CD69+ T cells could be reconstituted quickly and even expanded after transplantation. At the early stages after transplant, the low frequency of CD4+CD25-CD69+ T cells may be due to incomplete T cell reconstitution. During the second month, the frequency of these T cells continued to increase and was maintained at a higher level compared to the normal control group. A similar phenomenon has also been reported for other immunoregulatory cells during HSCT. For example, myeloid-derived suppressor cells (MDSCs), which recently have been shown to possess immunosuppressive function, expanded after HSCT both in pre-clinical mouse models and patients with successful transplants [
25,
26]. In vitro functional experiments had further demonstrated the immunoregulatory role of CD4+CD25-CD69+ T cells in a mouse model [
14]. Thus, we speculated that this subset might contribute to the maintenance of immune tolerance after transplantation. Our previous data also identified a negative correlation between the frequency of this subset in the peripheral blood and the incidence of aGVHD; in particular, the lower frequency of this subset of T cells led to more severe aGVHD [
16]. To a large extent, this result indicated that CD4+CD25-CD69+ T cells may exert important immunoregulatory functions after transplantation. In this study, we provided the clinical evidence to support such an immunosuppressive effect of CD4+CD25-CD69+ T cells during HSCT. The frequency of this subset of T cells in the bone marrow was significantly increased in relapsed patients, whereas in patients with a lower tumor load (MRD+), a relatively lower proportion of these T cells was observed. However, the percentage of these T cells from patients who either relapsed or had a positive MRD was higher compared to those of normal control subjects and patients with no relapse indication at other time points, with the exception of +30 d. Furthermore, the number of CD4+CD25-CD69+ T cells declined rapidly after intervention. Together, these data indicated that the immunosuppressive effect of this subset of T cells likely contributed to leukemia relapse after transplantation. However, as a type of immunomodulatory cell, their frequency may not directly reflect the load of the malignancy; instead, these cells are more indicative of the immune status of the transplant recipient. Consistent with this theory, distinct clinical outcomes for these patients were obtained despite the significant decrease in the frequency of MRD + or relapsed patients after intervention therapy. For those patients who did not achieve complete remission, it was hypothesized that their leukemia cells possessed a greater likelihood of malignant behavior.
Although the frequency of CD4+CD25-CD69+ T cells could not accurately predict the forthcoming relapse at each time point (with the exception of +60 d, +90 d and +270 d), it appeared that this subset of CD4+ T cells was increased prior to the presence of either MRD + or leukemia relapse, according to this case study. The median time for patients undergoing MRD + or leukemia relapse was +90 d, which may explain why a significant group difference at +60 d after transplant was observed regardless of the perspective. These results confirmed that CD4+CD25-CD69+ T cells are negative immunomodulatory cells. When the frequency of these non-traditional Tregs reaches an excessive level, patients may develop an excessive form of immune tolerance and suffer from an impending relapse. As a result, due to this disruption of the immune balance, the tumor may have a chance to escape immunological surveillance. Therefore, the frequency of CD4+CD25-CD69+ T cells could represent a suitable parameter to predict the incidence of leukemia relapse after transplantation.
There are 3 possibilities that could explain the suboptimal concordance between the frequency of CD4+CD25-CD69+ T cells and leukemia relapse. First, because 14 patients had either relapsed or developed MRD + at various time points post-transplantation, the accuracy of relapse prediction at certain time points could have been impaired. Second, the interval of sample collection may have affected the accuracy of predicting relapse, and the interval between sample collection and relapse could have also interfered with the predictive efficiency. Third, the bone marrow is a hematopoietic organ where many types of hematopoietic cells localize, so there exists the possibility that a small number of activated T cells also expressing CD69 are present at this location. Although the CD4+CD25-CD69+ T cells we detected also highly express CD122, there may be other unknown molecular markers that could discriminate this new regulatory T cell from classically activated T cells.
Finally, to investigate whether the CD4+CD25-CD69+ T cells in the bone marrow were the same subset of T cells that had been examined in previous studies [
14,
15], we measured the cytokine secretion of these T cells. Consistent with previous reports, this subset of T cell did not respond to PMA/ionomycin stimulation. This finding indicated that despite the difference in the ratio of this non-traditional Treg in relapsed and non-relapsed patients, the cells secreted comparable levels of IL-2, IL-10 and TGF-β. This finding also suggested that these novel Tregs might exert their immunosuppressive function independent of cytokine secretion and through other means such as cell-cell contact.
The current address for all authors and corresponding author:
Peking University Institute of Hematology, Peking University People’s Hospital
No 11 Xizhimen South Street, Beijing 100044, China
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Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
XS Zhao carried out the flow cytometry assay, performed the statistical analysis and drafted the manuscript. XH Wang also carried out the flow cytometry assay and participated in data analysis. XJ Huang participated in the design of the study and revised it critically for important intellectual content. All other authors were involved in the study design discussions and treated patients at Peking University Institute of Hematology. All authors read and approved the final manuscript.