Literature DB >> 21904560

Comparative approach to define increased regulatory T cells in different cancer subtypes by combined assessment of CD127 and FOXP3.

Marc Beyer1, Sabine Classen, Elmar Endl, Matthias Kochanek, Martin R Weihrauch, Svenja Debey-Pascher, Percy A Knolle, Joachim L Schultze.   

Abstract

In recent years an increase of functional CD4(+)CD25(+) regulatory T cells (T(reg) cells) has been established for patients with solid tumors, acute leukemias, and lymphomas. We have reported an expanded pool of CD4(+)CD25(high) T(reg) cells in patients with chronic lymphatic leukemia (CLL), multiple myeloma (MM) as well as its premalignant precursor monoclonal gammopathy of undetermined significance (MGUS). In healthy individuals, low-level expression of CD127 on T cells in addition to the expression of FOXP3 has been associated with T(reg) cells. Here, we demonstrate that the expanded FOXP3(+) T-cell population in patients with colorectal cancer, CLL, MGUS, MM, follicular lymphoma, and Hodgkin's disease are exclusively CD127(low) T(reg) cells and were strongly suppressive. A significant portion of CD127(low)FOXP3(+) T(reg) cells expressed only low levels of CD25 suggesting that the previously reported expansion of CD25(+) T(reg) cells underestimates the true expansion. The assessment of CCR7 and CD45RA expression on the expanded CD4(+)CD127(low)FOXP3(+) T(reg) cells revealed an increase of both naïve as well as central and effector memory T(reg) cells in peripheral blood. Our data strongly support superiority of combined CD127 and FOXP3 analysis in comparison to CD25 and FOXP3 assessment for further quantification of T(reg) cells in malignant diseases.

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Year:  2011        PMID: 21904560      PMCID: PMC3166761          DOI: 10.1155/2011/734036

Source DB:  PubMed          Journal:  Clin Dev Immunol        ISSN: 1740-2522


1. Introduction

CD4+CD25+ regulatory T cells (Treg cells) are expanded in murine tumor models, and their deletion can lead to complete tumor regression [1]. In humans, Treg cells are mostly enriched in the CD4+CD25high T-cell population [2]. We and others have reported increased frequencies of CD4+CD25highFOXP3+ Treg cells in cancer patients [1, 3]. However, the expansion of Treg cells based on the assessment of CD25 is likely to underestimate the true expansion since FOXP3+ T cells are also present in the CD25−/low fraction [4, 5]. Furthermore, molecular and functional characterization of this population is hampered by the inability to separate CD25+ Treg cells from activated effector T cells. Two recent studies, however, have shown that reciprocal expression of the IL7 receptor (CD127) on FOXP3+ Treg cells is most likely a more specific way to quantify FOXP3+ Treg cells [5, 6]. This has been adopted lately for the quantification of Treg cells in solid tumors [7-10] and hematologic malignancies [11-13], with one of the reports establishing CD127 as an even superior marker for the identification of Treg cells in cancer patients [9]. However, no systematic analysis has been undertaken to establish CD127 as a superior marker for Treg-cell enumeration in cancer patients, and only one initial report of malignant melanoma patients has addressed reciprocal expression of CD127 and FOXP3 on Treg cells in cancer patients independently of CD25 [9]. It is, therefore, necessary to determine whether CD127 is also a better marker for enumerating FOXP3+ Treg cells in cancer patients in general by comparing Treg cells numbers in a larger number of different tumor subtypes. Besides the integration of CD25low/− FOXP3-expressing Treg cells, analysis of CD127 might, furthermore, clarify contradictory results concerning frequencies as well as prognostic value of Treg cells in cancer patients [14-16]. Similarly, there is still debate whether human CD4+CD25highFOXP3+ Treg solely belong to the memory T-cell compartment [17]. Valmori et al. were the first to identify a Treg-cell population with a naïve phenotype (CCR7+CD45RA+), which they termed natural naïve Treg cells [18]. As expected, the frequency of these naïve Treg cells was relatively low in healthy individuals [19]. More recently, Seddiki et al. have described the persistence of a population of naïve CD45RA+ Treg cells in adult life [20], which was further characterized by resistance to CD95L-induced cell death [21]. Recent data further supports that a population of naïve Treg cells exist in healthy individuals that exerts suppressive function [22]. So far, our own observations suggested an increased frequency of naïve CD4+CD25highFOXP3+ Treg cells in MM and MGUS [23]. However, previous findings were restricted to the CD4+CD25high subpopulation excluding a significant fraction of Treg cells from analysis. With the emergence of CD127 as a new marker separating Treg cells from conventional T cells, the question whether the expanded Treg cells in cancer patients are mainly antigen-experienced memory cells or also naïve Treg cells needs reevaluation. Here, we present clear evidence that FOXP3+ T cells derived from patients with CLL, MGUS, MM, follicular lymphoma (FL), Hodgkin's disease (HD), and colorectal cancer (CRC) are lacking CD127. This newly defined fully functional CD4+CD127lowFOXP3+ Treg-cell population is expanded in all tumor entities as well as the premalignant MGUS supporting the hypothesis of increased Treg cells as a rather early event during tumor development. Moreover, we demonstrate a significant increase of naïve CD4+CD127lowFOXP3+ Treg cells in peripheral blood of cancer patients while we could not detect an increase in lymph node biopsies of lymphoma patients. Finally, these data strongly support the assessment of CD127 expression—instead of CD25—in combination with FOXP3 for a more precise enumeration of Treg cells in malignant diseases while functional characterization still relies on the combination of CD127 and CD25.

2. Material and Methods

2.1. Patients and Clinical Parameters

Following approval by the institutional review board of the University of Cologne, peripheral blood from 10 healthy individuals, 7 MGUS, 10 MM, 10 CLL and 6 patients with CRC (2 time points at least 1 month apart) was obtained after informed consent. For the assessment of Treg cell numbers in lymph node biopsies, lymph nodes from 7 healthy donors, 6 patients with HD, and 7 patients with FL were analyzed following approval by the institutional review board of the University of Cologne. Patients were either untreated or had not received cytoreductive treatment for a period of at least 1 month prior to investigation. Characteristics of the patients studied are summarized in Tables 1 and 2.

2.2. Antibodies and FACS Analysis

Phenotype of T cells was defined by flow cytometry using the following antibodies: CD45RA-PE-Cy5 (HI100), CD127-PE (hIL-7R-M21), CD4-APC-Cy7 (RPA-T4), CD25-PE-Cy7 (M-A251, all from Becton Dickinson), CCR7-FITC (150503, R&D) as well as the corresponding isotype control antibodies. Intracellular staining for FOXP3 was performed with FOXP3-APC (PCH101, eBioscience) according to the manufacturer's recommendations [23]. Samples were acquired on a FACS LSR II and analyzed with FlowJo software (TreeStar Inc). Frequencies of CD4+CD127lowFOXP3+ T cells are shown as percent values of CD4+ T cells.

2.3. Isolation of CD4+CD127lowCD25+/low and CD4+CD127+CD25− T Cells and Assessment of Inhibitory Function

To assess the suppressive activity of CD4+CD127lowCD25+/low T cells, a modified MLR was performed as previously described [23]. Briefly, CD4+CD127lowCD25+/low and CD4+CD127+CD25− T cells were stained with CD4, CD25, and CD127 mAb and sorted on a FACSDiVa or FACS Aria III (both BD Biosciences) and incubated for 20 hours with 10 U/mL IL-2 (Proleukin) and 0.5 μg/mL anti-CD3 (OKT3) in X-VIVO 15 (BioWhittakker) [24]. Subsequently, CD4+CD127+CD25− T cells were stained with 5,6-Carboxyfluorescin-Diacetat-Succinimidyl-Ester (CFSE, Sigma-Aldrich) and stimulated in X-VIVO 15 supplemented with 10% fetal calf serum, 100 U/mL penicillin/streptomycin and 2 mM glutamine (Invitrogen) with magnetic beads (Dynal Biotech,) coated with 5% anti-CD3, 14% anti-CD28 (9.3), and 81% anti-MHC class I (W6/32) at a ratio of 3 : 1 (cells : beads). To assess inhibitory capacity of Treg cells from cancer patients, autologous CD4+CD127lowCD25+/low Treg cells were added at a 1 : 1 ratio to the culture, and the proliferation of CD4+CD127+CD25− T cells was determined by assessing CFSE dilution after four days of culture as described previously [23].

2.4. RNA Preparation and Quantitative Real-Time PCR

For analysis of CD127 mRNA expression, CD4+CD25− and CD4+CD25high T cells from five healthy donors and five CLL patients were purified as previously described [24]. The described technique is optimized for the isolation of human CD4+CD25high T cells with high purity [23, 24]. Cells were reanalyzed after sorting and routinely showed >95% purity. Subsequently, the cells were lysed in TRIzol reagent (Invitrogen). 50–100 ng RNA were reverse transcribed using the Transcriptor First Strand cDNA Synthesis Kit (Roche, Penzberg, Germany). Rt-PCR was performed with the LightCyclerTaqman master kit and Universal ProbeLibrary Assay on a Light Cycler 480 II. Analysis was performed using Light-Cycler3 and RelQuant software using a calibrator normalized relative quantification based on β-2 microglobulin (B2M) expression. Primers used: CD127 forward, 5′- AAAGTTTTAATGCACGATGTAGCTT-3′; CD127 reverse, 5′- TGTGCTGGATAAATTCACATGC-3′; Probe 72; B2M forward, 5′- TTCTGGCCTGGAGGCTAT-3′; B2M reverse, 5′TCAGGAAATTTGACTTTCCATTC-3′; Probe 42.

2.5. Statistical Analysis

Comparison between paired or unpaired groups was performed using the appropriate Student's t-test. A P-value < 0.05 was defined as statistically significant. Due to the explorative nature of this study, no multiplicity adjustment procedures were performed. All statistical analyses were performed using the SPSS statistical software package (SPSS 19.0, SPSS Inc.).

3. Results

3.1. Downregulation of CD127 mRNA Expression in CD4+CD25high Treg Cells from CLL Patients

As CD25 is not solely expressed on Treg cells but also on activated conventional CD4+ T cells, and the downregulation of CD127 expression in CD4+CD25high FOXP3+ Treg cells from healthy donors has been reported [5, 6], we first assessed if CD127 downregulation is also apparent in CD4+CD25high Treg cells from cancer patients. We detected a significant downregulation of CD127 mRNA expression in CD4+CD25high T cells from healthy donors (n = 5) as well as CLL patients (n = 5, P < 0.05, Figure 1(a)) by quantitative PCR indicating that CD127 expression might also be used to specifically identify CD4+FOXP3+ Treg cells in cancer patients.
Figure 1

CD127 mRNA expression in CD4+CD25high Treg cells and integration of CD127 in the analysis of human Treg cells. (a) Expression of CD127 mRNA in CD4+CD25high Treg cells and conventional CD4+CD25− T cells in healthy donors (n = 5, control) and CLL patients (n = 5, CLL) as determined by qPCR (*, P < 0.05, Student's t-test). (b) Gating strategies for analysis of expression of CD127 in CD4+CD25highFOXP3+ Treg cells or (c) CD25 expression in CD4+CD127lowFOXP3+ Treg cells.

3.2. Coassessment of CD127 and FOXP3 for the Enumeration of Human Treg Cells

Next the expression of CD127 in relation to FOXP3 and CD25 was evaluated by flow cytometry on CD4+ T cells. Gating on CD4 and CD25 with subsequent analysis of the CD4+CD25high Treg-cell population for expression of FOXP3 and CD127 confirmed the downregulation of CD127 in CD4+CD25highFOXP3+ Treg cells on protein level in healthy individuals (Figure 1(b)). However, assessing coexpression of CD127 and FOXP3 by CD4+ T cells without gating beforehand on the CD4+CD25high T-cell population clearly revealed a significantly higher percentage of cells expressing FOXP3 but lacking CD127 (Figure 1(c)). Subsequent analysis of the CD127lowFOXP3+ Treg-cell population for expression of CD25 demonstrated that gating on CD127 and FOXP3 identifies not only CD4+CD25high Treg cells but also Treg cells expressing only low levels of CD25 (Figure 1(c)). The identification of this subpopulation of Treg cells is of specific interest as up to now only Treg cells expressing high amounts of CD25 were accessible to functional analysis.

3.3. Increase of CD4+CD127lowFOXP3+ Treg Cells in Cancer Patients

Inclusion of the CD25low Treg-cell subpopulation in the enumeration of Treg cells by defining human Treg cells as CD4+CD127lowFOXP3+ demands the reassessment of Treg-cell frequencies in cancer patients as the actual frequencies were probably underestimated until now. Comparison of healthy individuals with cancer patients revealed elevated levels of CD4+CD127lowFOXP3+ Treg cells in cancer and MGUS patients, as exemplified for individual patients in Figures 2(a) and 2(b). In total, frequencies of Treg cells derived from peripheral blood of 12 patients with CRC, 10 CLL patients, 7 MGUS, and 10 MM patients as well as 10 healthy individuals were evaluated. In addition, lymph node biopsies from 7 patients with follicular lymphoma, 6 patients with Hodgkin's disease, and 7 reactive lymph nodes from healthy individuals were assessed for expanded Treg-cell numbers. Gating on CD4 and CD25 with subsequent gating on FOXP3 confirmed the already described increase of Treg cells in patients with CRC, CLL, MGUS, MM, FL, and HD (Figures 3(a) and 3(b) and Tables 3 and 4). More important, when gating on FOXP3 and CD127 without using CD25 as primary inclusion criteria, frequencies of CD4+CD127lowFOXP3+ Treg cells in controls (4.1% ± 0.7%) were similar to previously published results (Figure 3(c) and Table 3) [2, 5, 6, 24]. In contrast, individuals with CRC (7.2% ± 2.4%, P < 0.005), CLL (8.9% ± 4.0%, P < 0.005), as well as MM (11.7% ± 5.4%, P < 0.005) showed significantly increased frequencies of CD127lowFOXP3+ Treg cells compared to healthy individuals (Figure 3(c) and Table 3). Even in MGUS patients, a significantly higher frequency of Treg cells (6.0% ± 1.8%, P < 0.05) was observed (Figure 3(c) and Table 3), which is indicative of Treg-cell expansion as an early event in tumorigenesis. Similarly, we observed significantly increased frequencies of CD127lowFOXP3+ Treg cells in patients with FL (21.8% ± 8.0%, P < 0.01) and HD (24.4% ± 13.1%, P < 0.05) in comparison to reactive lymph node specimens from healthy individuals (10.1% ± 4.4, Figure 3(d) and Table 4). Moreover, the percentage of FOXP3+ cells within the CD4+CD127low T-cell population was always higher than within the CD4+CD25high population, suggesting that previous data only assessing a CD4+CD25high phenotype have underestimated the absolute increase of FOXP3+ Treg cells in cancer patients (Tables 3 and 4).
Figure 2

Frequency of CD4+CD127lowFOXP3+ Treg cells. Flow cytometric analysis of CD127 and FOXP3 expression in CD4+ T cells from (a) peripheral blood of a representative healthy individual (control) and representative patients with colorectal cancer (CRC), CLL, MGUS, and multiple myeloma (MM) and (b) lymph node biopsies from a healthy individual (reactive) and patients with follicular lymphoma (FL) and Hodgkin's diseases (HD).

Figure 3

Assessment of Treg-cell frequencies. Frequency of CD4+CD25highFOXP3+ Treg cells in (a) peripheral blood of 10 healthy donors (control), 12 colorectal cancer (CRC), 10 CLL, 7 MGUS, and 10 multiple myeloma (MM) patients and (b) 7 reactive lymph node biopsies from healthy individuals (reactive), 7 patients with follicular lymphoma (FL), and 6 patients with Hodgkin's disease (HD). (c) and (d) Frequencies of CD4+CD127lowFOXP3+ Treg cells in the respective groups. Error bars represent standard deviation (*, P < 0.05, Student's t test).

Table 3

Assessment of Treg-cell frequencies in peripheral blood.

ControlColonCLLMGUSMM
Mean (SD)Mean (SD) P Mean (SD) P Mean (SD) P Mean (SD) P
CD4+CD127low 4.6 (1.3)7.6 (1.5)<0.0018.3 (2.5)<0.0055.4 (1.3)n.s.11.2 (5.9)<0.01
CD4+CD127lowFOXP3+ 4.1 (0.7) 7.2 (2.4) <0.005 8.9 (4.0) <0.005 6.0 (1.8) <0.05 11.7 (5.4) <0.005
CD4+CD127lowFOXP3+CD25high 2.5 (0.6)4.3 (1.6)<0.0054.7 (2.7)<0.053.9 (1.3)<0.057.1 (4.9)<0.05
CD4+CD25high 2.8 (0.9)7.6 (1.2)<0.0016.4 (1.8)<0.0014.5 (1.1)<0.059.0 (5.3)<0.01
CD4+CD25highCD127low 2.9 (0.9)4.5 (1.2)<0.0054.5 (2.0)<0.053.5 (1.3)n.s.7.0 (5.1)<0.05
CD4+CD25highFOXP3+ 2.1 (0.8)4.2 (1.2)<0.0013.6 (1.7)<0.052.5 (0.6)n.s.6.3 (4.5)<0.05
CD4+FOXP3+ 2.8 (0.9)4.7 (2.1)<0.054.7 (2.4)<0.053.6 (1.1)n.s.7.7 (5.1)<0.05

Definition of subpopulations based on expression of CD25, CD127, and FOXP3 (SD: standard deviation, n.s.: not significant).

Table 4

Assessment of Treg-cell frequencies in lymph node biopsies.

ControlFLHD
Mean (SD)Mean (SD) P Mean (SD) P
CD4+CD127low 54.7 (23.1)68.6 (15.8)>0.0568.0 (12.7)>0.05
CD4+CD127lowFOXP3+ 10.1 (4.4) 21.8 (8.0) <0.01 24.4 (13.1) <0.05
CD4+CD127lowFOXP3+CD25high 3.1 (1.9)11.7 (5.5)<0.0056.4 (2.3)<0.05
CD4+CD25high 5.1 (2.9)13.8 (7.1)<0.0511.2 (3.3)<0.005
CD4+CD25highCD127low 4.1 (3.0)16.3 (7.1)<0.00511.3 (5.2)<0.05
CD4+CD25highFOXP3+ 2.9 (2.6)10.0 (5.4)<0.015.6 (1.2)<0.05
CD4+FOXP3+ 10.3 (5.5)19.4 (8.5)<0.0523.4 (12.0)<0.05

Definition of subpopulations based on expression of CD25, CD127, and FOXP3 (SD: standard deviation, n.s.: not significant).

3.4. CD4+CD127lowCD25+/low Treg Cells are Fully Functional in Cancer Patients

As intracellular FOXP3 staining is not applicable for functional analysis of Treg cells, classification of FOXP3+ Treg cells based solely on cell surface markers is necessary. The characterization of FOXP3+ Treg cells was best achieved when combining CD127 and CD25 (Figures 4(a) and 4(b)). We, therefore, used this combination of cell surface markers to sort Treg cells for functional analysis. Staining for FOXP3 expression after sorting routinely showed purities of CD4+CD127lowFOXP3+CD25+/low Treg cells >95 percent (Figure 4(b)). To determine whether the CD4+CD127lowCD25+/low Treg cells from cancer patients are functional, we used an in vitro suppression assay. When activated with CD3/CD28 beads conventional CD4+CD127+CD25− T cells, but not CD4+CD127lowCD25+/low Treg cells, proliferate strongly. In the presence of CD4+CD127lowCD25+/low Treg cells, this proliferation is suppressed (Figure 4(c)). These data clearly demonstrate that CD4+CD127lowCD25+/low T cells are FOXP3+ and that these cells are fully functional in CRC patients.
Figure 4

Functional analysis of CD4+CD127lowCD25+ Treg cells in cancer patients. (a) Sorting strategy for isolating CD4+CD127lowCD25+ Treg cells (Treg) as well as conventional CD4+CD127+CD25− T cells (Tconv). (b) Expression of FOXP3 in the corresponding T-cell populations. (c) Percentage of proliferation of CD4+CD25−CD127+ Tconv cells (black bar) alone or cultivated with CD4+CD127lowCD25+ Treg cells derived from CRC patients (n = 4) at a 1 : 1 ratio (white bar) both in the presence of CD3/CD28 mAb coated beads. Error bars represent standard deviation (*, P < 0.05, Student's t test).

3.5. Naïve CD4+CD127lowFOXP3+ Treg Cells are Increased in Peripheral Blood of Cancer Patients

In healthy individuals, Treg cells have been shown to exist at all differentiation states, namely, naïve, central, and effector memory Treg cells [18, 20, 25]. To determine which Treg-cell subpopulation is responsible for the increase of CD4+CD127lowFOXP3+ Treg cells in cancer patients, we determined the frequency of naïve, central, and effector memory cells within the Treg-cell compartment from healthy individuals, CRC, CLL, MGUS, and MM patients (Figure 5(a)) and compared these data with those previously described for CD4+CD25high Treg cells in healthy individuals as well as MGUS and MM patients [18, 23]. In healthy individuals, naïve CCR7+CD45RA+CD4+CD127lowFOXP3+ Treg cells were hardly detectable (Figures 5(b) and 5(c)). Treg cells were almost exclusively of memory phenotype (Figures 5(b) and 5(c)). In contrast, in peripheral blood of CRC, CLL, and MM patients, a significant expansion of CD4+CD127lowFOXP3+ Treg cells with a naïve phenotype was observed (Figures 5(b) and 5(c)). The expansion of naïve Treg cells was apparent as part of the Treg-cell pool as well as in relation to the total number of CD4+ T cells in cancer patients. This increase in naïve Treg cells was further accompanied by an expansion of Treg cells with a central as well as effector memory phenotype in all patient groups (Figures 5(b) and 5(c)). Interestingly, the observed expansion of naïve CD4+CD127lowFOXP3+ Treg cells was also detectable in MGUS patients (Figures 5(b) and 5(c)) further underlining that frequencies of naïve Treg cells increase rather early during tumor development and progression. When assessing subpopulations of Treg cells in lymph node specimens, we observed a predominance of CD4+CD127lowFOXP3+ Treg cells with a central-memory phenotype, with a significantly expanded population of central-memory Treg cells apparent in patients with FL and HD (Figure 5(d)). In addition, we could also detect an increase in effector-memory Treg cells (Figure 5(d)) while the pool of naïve Treg cells was basically absent independent if reactive or diseased lymph nodes were analyzed (Figure 5(d)).
Figure 5

Assessment of naïve CCR7+CD45RA+CD4+CD127lowFOXP3+ Treg cells. (a) Frequencies of CCR7+CD45RA+ naïve CD4+CD127lowFOXP3+ Treg cells (Tnaive), CCR7+CD45RA−CD4+CD127lowFOXP3+ central memory Treg cells (TCM), and CCR7−CD45RA−CD4+CD127lowFOXP3+ effector memory Treg cells (TEM) were assessed in peripheral blood using gating on CD127 and FOXP3 with successive gating on CCR7 and CD45RA. (b) Flow cytometric analysis of naïve, central memory, and effector memory CD4+CD127lowFOXP3+ Treg cells in peripheral blood from a representative healthy individual (control) as well as representative patients with colorectal cancer (CRC), CLL, MGUS, and multiple myeloma (MM). Frequencies of regulatory Tnaive, TCM, and TEM cells were assessed in (c) peripheral blood of CRC (CRC, n = 12), CLL (CLL, n = 10), MGUS (MGUS, n = 7), MM (MM, n = 10), and healthy individuals (control, n = 10) and (d) 7 reactive lymph node biopsies from healthy individuals (reactive), 7 patients with follicular lymphoma (FL), and 6 patients with Hodgkin's disease (HD). Error bars represent standard deviation (*, P < 0.05, Student's t-test).

4. Discussion

Expansion of CD4+CD25high Treg cells within the tumor microenvironment and peripheral blood has so far been accepted as a hallmark of cancer [1, 26, 27]. Moreover, augmented Treg-cell frequencies have been linked to tumor stage, prognosis, and survival [1, 26, 27]. We present new evidence that the increase of Treg cells in cancer was even underestimated previously due to suboptimal classification of Treg cells. Integrating analysis of FOXP3 with the cell-surface molecule CD127 clearly demonstrates that significantly higher numbers of CD127lowFOXP3+ Treg cells are expanded in cancer patients in general. The assessment of CD127 instead of CD25 is clearly superior in enumerating Treg cells in the diseased state. Natural Treg cells have been described as CD4+CD25+ T cells in mice [28], and initial reports in cancer patients relied solely on the assessment of CD4 and CD25 expression for the identification of Treg cells [3, 29]. Only since the identification of the transcription factor FOXP3 lineage-specific marker of Treg cells a more specific characterization of Treg cells is possible [28]. In murine models, FOXP3 expression is strongly associated with the CD25+ Treg-cell population. However, even the inclusion of FOXP3 assessment has been interpreted differentially when assessing frequencies of Treg cells in healthy individuals and cancer patients [23, 30]. The analysis of Treg cells in humans has been further complicated as several studies reported FOXP3+ cells within the CD4+CD25low or even CD4+CD25− population [5], and even the reprogramming of Treg cells into effector T cells has been reported [31]. Therefore, a more specific definition of Treg cells based on unique or additional Treg-cell marker molecules is urgently needed. The introduction of CD127 as a new marker to distinguish Treg cells from conventional T cells is an important improvement and will help to clarify several previous conflicting results in human Treg-cell biology, particularly in cancer patients. Several recent studies have adopted the approach to use CD127, CD25, and FOXP3 for the quantification of Treg cells in tumor-bearing individuals and could demonstrate increased numbers of CD4+CD25highCD127low Treg cells in patients with solid tumors [7-10] and hematologic malignancies [11-13]. However, the majority of these reports focused solely on the enumeration of the Treg-cell compartment while at the same time focusing on only one tumor subtype. Only one study assessed Treg-cell numbers in more than one tumor subtype showing similar numbers of Treg cells for all gastrointestinal tumor subtypes analyzed [8]. Furthermore, these studies did not systematically compare possible marker combinations to establish the most suitable approach to identify Treg cells. This was analyzed in more detail in only one of the reports with the combination of CD127 and FOXP3 being the most appropriate combination to identify Treg cells in patients with malignant melanoma [9]. The integration of CD127 permits to redefine the importance of CD25 expression on human Treg cells. Up to now, high expression of CD25 allowed for an enrichment of CD4+ T cells with regulatory properties [2]. However, it is undisputed that neither all human Treg cells are included by this approach nor that activated T cells expressing CD25 are excluded. Zelenay et al. could demonstrate a population of CD4+CD25FOXP3+ T cells which can upregulate CD25 upon the depletion of all CD25 expressing cells and are able to replace the original Treg-cell population [4]. These data were a first hint that the expression of CD25 on Treg cells is similarly regulated like its expression on conventional T cells [4]. Human Treg cells need IL-2 for their survival and proliferation, and expression of the IL2R-α chain is certainly a prerequisite for IL-2 to exert its biological function [32]. However, the expression of CD25 is not homogenous and might also be dependent on the activation status and other exogenous factors [33]. Using CD127 and FOXP3 to define human Treg cells demonstrates varying expression of CD25 in the CD4+CD127lowFOXP3+ Treg-cell population. Additionally, the newly defined Treg-cell population comprises of significantly more Treg cells compared to the traditionally defined CD4+CD25high Treg cells as demonstrated recently for malignant melanoma [9]. Coassessment of CD127 and FOXP3 to determine Treg cells also resolves the uncertainty to differentiate between activated conventional T cells and Treg cells in patients with active disease. This is of particular importance when only using CD4 and CD25 for the identification of Treg cells in cancer patients, as contamination with effector T cells most frequently occurs when solely these two markers are used for analysis. As functional assessment of the CD4+CD127lowFOXP3+ Treg-cell population is not possible as FOXP3 cannot be used for live studies of human Treg cells, using expression of CD4, CD25, and CD127 is the best possible approximation. T cells isolated by this approach almost exclusively express FOXP3. Moreover, when isolated from cancer patients, this Treg-cell population exerts strong inhibition. Using a comparative approach analyzing different tumor subtypes from hematologic as well as epithelial origin, we demonstrate that all independent cancer patient groups studied uniformly show an expanded pool of CD4+CD127lowFOXP3+ Treg cells. We therefore postulate that expansion of Treg cells is a general phenomenon in cancer patients. Moreover, since MGUS patients already have increased frequencies of Treg cells, it is very likely that expansion of Treg cells is an early event in the development of human tumors. Elevated Treg-cell levels might be associated with the progression from premalignant lesions that are still under control of the immune system to the uninhibited growth of malignant tumors. The findings that naïve Treg cells are increased both in the premalignant state as well as in cancer patients might further support this hypothesis. Treg cells were first identified as antigen-experienced memory cells expressing CD45RO [2]. Only recently the existence of naïve Treg cells in human adults has been reported [18, 20, 22, 23, 34], and the naïve Treg-cell population can be expanded in vitro while retaining its suppressive function [35, 36]. However, the physiological function of the naïve Treg-cell population remains unclear. Definition of Treg cells as CD4+CD127lowFOXP3+ has enabled us to verify the increase of naïve Treg cells in MGUS and MM patients [23] and to extend these findings to CLL and CRC. The identification of an expanded pool of naïve Treg cells in cancer patients opens new avenues to better understand the role of Treg cells in malignant disease. Memory Treg cells apparently cannot undergo self-renewal [37]. Therefore, the replenishment of an increased memory Treg-cell pool by differentiation of naïve Treg cells into memory Treg cells might be an alternative to the recently proposed conversion of conventional memory T cells to Treg cells [37]. In fact, the increased pool of naïve Treg cells with an unaltered frequency of memory Treg cells in premalignant MGUS suggests that expansion of naïve Treg cells is indeed preceding the expansion of memory Treg cells following differentiation during tumor development. Besides the expansion of naïve Treg cells through enhanced self-renewal and differentiation, other mechanisms have been proposed amongst them the interaction of CCR4 on Treg cells with CCL22 released in the tumor microenvironment [38] as well as the conversion of conventional CD4+CD25− T cells to Treg cells trough TGF-β [39] or prostaglandin E2 [40]. How these factors influence the expansion of naïve Treg cells needs further clarification and might in the end result in better strategies to target expanded Treg cells in tumor patients. In conclusion this study demonstrates that CD4+CD127lowFOXP3+ Treg cells are increased in cancer patients. Definition of Treg cells by combining CD127 and FOXP3 has the advantage of including not only Treg cells expressing high levels of CD25 but also Treg cells with low CD25 expression and excluding at the same time activated conventional T cells. Furthermore, the naïve Treg-cell population is expanded in all tumor bearing individuals.

(a) MGUS (peripheral blood)

IDGenderAge (yr)StageTherapyParaprotein Treg (%)
1M37MGUSno txIgG/λ 3.6
2F84MGUSno txIgA/κ 7.0
3F86MGUSno txIgG/κ 7.5
4F62MGUSno txIgA6.0
5M52MGUSno txn.a.6.8
6F79MGUSno txn.a.2.4
7M65MGUSno txIgM/κ 8.0

(b) Multiple myeloma (peripheral blood)

IDGenderAge (yr)StageTherapyParaproteinTreg (%)
8M62MM I AMIgG/κ 16.5
9F39MM I AVAD, CAD, M, BMTIgG/κ 7.4
10M59MM II Ano txIgG/κ 10.2
11F74MM I Ano txIgG/λ 4.5
12M86MM I Ano txIgG/κ 6.7
13M60MM II AVAD, CAD, M, BMTIgG/κ 16.9
14F52MM II AVID, CIgG/κ 4.4
15M59MM II ATAD, CAD, M, BMTIgG/κ 8.6
16F67MM II AVAD, CAD, M, BMTIgG/κ 22.2
17M53MM II Ano txIgG/λ 8.0

(c) Chronic lymphocytic leukemia (peripheral blood)

IDGenderAge (yr)StageTherapyTreg (%)
18m72CLL Ano tx6.1
19m62CLL Ano tx5.7
20f73CLL Ano tx5.6
21m60CLL Bno tx9.8
22f55CLL Bno tx10.6
23m73CLL Bno tx16.4
24m64CLL Bno tx7.4
25m39CLL Cno tx15.3
26m60CLL Cno tx6.2
27m54CLL Cno tx6.4

(d) Colorectal cancer (peripheral blood)

IDGenderAge (yr)StagePrimary tumorSites of metastasesTreg (%)
28f43DRectumLiver, bone, pararectal, para-aortal lymph nodes7.5/10.4
29f32DColonLiver, spleen, ovaries, pelvis, peritoneum5.7/9.3
30m57DRectumLung5.7/9.9
31m66DColonLiver5.0/6.2
32m75DColonLiver9.0/4.8
33f44DColonLiver9.9/3.3

(e) Healthy donors (peripheral blood)

IDGenderAge (yr)Treg (%)
34m665.4
35m676.6
36m553.9
37m506.5
38m474.5
39m463.5
40m464.8
41m624.1
42m452.6
43f444.0

Patient characteristics including gender, age at analysis, Durie and Salmon, Binet or Dukes stage, first diagnosis, primary tumor, sites of metastases, therapy, paraprotein, and frequency of Treg cells. (f: female, m: male; therapy: A: Doxorubicin, BMT: autologous bone-marrow transplantation, C: Cyclophosphamide, I: Idarubicin, M: Melphalan, V: Vincristine, D: Prednisone, T: Thalidomide, no tx: no therapy, n.a.: not accessible.)

(a) Follicular lymphoma (lymph node)

IDGenderAge (yr)StageTherapyTreg (%)
44m59FL Ino tx23.9
45m46FL Ino tx13.4
46f58FL Ino tx26.8
47m73FL IIno tx19.6
48f66FL IIno tx20.0
49m59FL IIno tx13.2
50m57FL IIno tx22.5
51m65FL IIno tx37.5

(b) Hodgkin's disease (lymph node)

IDGenderAge (yr)EntityTherapyTreg (%)
52f53HD (ns)no tx37.8
53m44HD (ns)no tx16.8
54m51HD (ns)no tx43.9
55m19HD (ns)no tx18.5
56m34HD (ns)no tx16.9
57f25HD (mc)no tx12.4

(c) Healthy donors (reactive lymph nodes)

IDGenderAge (yr)Treg (%)
58m354.9
59f1811.7
60f174.9
61m229.7
62f4516.7
63m398.9
64m2414.0

Patient characteristics including gender, age at analysis, first diagnosis, therapy, and frequency of Treg cells. (f: female, m: male; no tx: no therapy; mc: mixed cellularity; ns: nodular sclerosing).

  40 in total

1.  Regulatory CD4(+)CD25(+) T cells in tumors from patients with early-stage non-small cell lung cancer and late-stage ovarian cancer.

Authors:  E Y Woo; C S Chu; T J Goletz; K Schlienger; H Yeh; G Coukos; S C Rubin; L R Kaiser; C H June
Journal:  Cancer Res       Date:  2001-06-15       Impact factor: 12.701

2.  CD4+CD25high regulatory cells in human peripheral blood.

Authors:  C Baecher-Allan; J A Brown; G J Freeman; D A Hafler
Journal:  J Immunol       Date:  2001-08-01       Impact factor: 5.422

3.  Tumor cyclooxygenase-2/prostaglandin E2-dependent promotion of FOXP3 expression and CD4+ CD25+ T regulatory cell activities in lung cancer.

Authors:  Sherven Sharma; Seok-Chul Yang; Li Zhu; Karen Reckamp; Brian Gardner; Felicita Baratelli; Min Huang; Raj K Batra; Steven M Dubinett
Journal:  Cancer Res       Date:  2005-06-15       Impact factor: 12.701

4.  Elevated myeloid-derived suppressor cells in pancreatic, esophageal and gastric cancer are an independent prognostic factor and are associated with significant elevation of the Th2 cytokine interleukin-13.

Authors:  Rachel F Gabitass; Nicola E Annels; Deborah D Stocken; Hardev A Pandha; Gary W Middleton
Journal:  Cancer Immunol Immunother       Date:  2011-06-05       Impact factor: 6.968

5.  Naturally anergic and suppressive CD25(+)CD4(+) T cells as a functionally and phenotypically distinct immunoregulatory T cell subpopulation.

Authors:  Y Kuniyasu; T Takahashi; M Itoh; J Shimizu; G Toda; S Sakaguchi
Journal:  Int Immunol       Date:  2000-08       Impact factor: 4.823

6.  Cutting edge: Regulatory T cells from lung cancer patients directly inhibit autologous T cell proliferation.

Authors:  Edward Y Woo; Heidi Yeh; Christina S Chu; Katia Schlienger; Richard G Carroll; James L Riley; Larry R Kaiser; Carl H June
Journal:  J Immunol       Date:  2002-05-01       Impact factor: 5.422

7.  Foxp3+ CD25- CD4 T cells constitute a reservoir of committed regulatory cells that regain CD25 expression upon homeostatic expansion.

Authors:  Santiago Zelenay; Thiago Lopes-Carvalho; Iris Caramalho; Maria Francisca Moraes-Fontes; Manuel Rebelo; Jocelyne Demengeot
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-07       Impact factor: 11.205

8.  Specific recruitment of regulatory T cells in ovarian carcinoma fosters immune privilege and predicts reduced survival.

Authors:  Tyler J Curiel; George Coukos; Linhua Zou; Xavier Alvarez; Pui Cheng; Peter Mottram; Melina Evdemon-Hogan; Jose R Conejo-Garcia; Lin Zhang; Matthew Burow; Yun Zhu; Shuang Wei; Ilona Kryczek; Ben Daniel; Alan Gordon; Leann Myers; Andrew Lackner; Mary L Disis; Keith L Knutson; Lieping Chen; Weiping Zou
Journal:  Nat Med       Date:  2004-08-22       Impact factor: 53.440

9.  Human CD4+CD25+ regulatory T cells share equally complex and comparable repertoires with CD4+CD25- counterparts.

Authors:  Kimberly A Kasow; Xiaohua Chen; James Knowles; David Wichlan; Rupert Handgretinger; Janice M Riberdy
Journal:  J Immunol       Date:  2004-05-15       Impact factor: 5.422

10.  Conversion of peripheral CD4+CD25- naive T cells to CD4+CD25+ regulatory T cells by TGF-beta induction of transcription factor Foxp3.

Authors:  WanJun Chen; Wenwen Jin; Neil Hardegen; Ke-Jian Lei; Li Li; Nancy Marinos; George McGrady; Sharon M Wahl
Journal:  J Exp Med       Date:  2003-12-15       Impact factor: 14.307

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  18 in total

1.  Preliminary investigation on the abnormal mechanism of CD4+FOXP3+CD25high regulatory T cells in pediatric B-cell acute lymphoblastic leukemia.

Authors:  Si-Xi Liu; Hai-Rong Xiao; Guo-Bing Wang; Xiao-Wen Chen; Chang-Gang Li; Hui-Rong Mai; Xiu-Li Yuan; Guo-Sheng Liu; Fei-Qiu Wen
Journal:  Exp Ther Med       Date:  2018-06-19       Impact factor: 2.447

2.  Folate Receptor Alpha Peptide Vaccine Generates Immunity in Breast and Ovarian Cancer Patients.

Authors:  Kimberly R Kalli; Matthew S Block; Pashtoon M Kasi; Courtney L Erskine; Timothy J Hobday; Allan Dietz; Douglas Padley; Michael P Gustafson; Barath Shreeder; Danell Puglisi-Knutson; Dan W Visscher; Toni K Mangskau; Glynn Wilson; Keith L Knutson
Journal:  Clin Cancer Res       Date:  2018-03-15       Impact factor: 12.531

3.  Expression of FOXP3, CD68, and CD20 at diagnosis in the microenvironment of classical Hodgkin lymphoma is predictive of outcome.

Authors:  Paul Greaves; Andrew Clear; Rita Coutinho; Andrew Wilson; Janet Matthews; Andrew Owen; Milensu Shanyinde; T Andrew Lister; Maria Calaminici; John G Gribben
Journal:  J Clin Oncol       Date:  2012-10-08       Impact factor: 44.544

4.  In vivo expansion of naïve CD4+ CD25(high) FOXP3+ regulatory T cells in patients with colorectal carcinoma after IL-2 administration.

Authors:  Marc Beyer; Beatrix Schumak; Martin R Weihrauch; Bettina Andres; Thomas Giese; Elmar Endl; Percy A Knolle; Sabine Classen; Andreas Limmer; Joachim L Schultze
Journal:  PLoS One       Date:  2012-01-20       Impact factor: 3.240

5.  Increased percentages of T helper cells producing IL-17 and monocytes expressing markers of alternative activation in patients with sepsis.

Authors:  Milena Karina Colo Brunialti; Michelle Carolina Santos; Otelo Rigato; Flavia Ribeiro Machado; Eliezer Silva; Reinaldo Salomao
Journal:  PLoS One       Date:  2012-05-31       Impact factor: 3.240

Review 6.  Clinical Impact of the Immunome in Lymphoid Malignancies: The Role of Myeloid-Derived Suppressor Cells.

Authors:  Calogero Vetro; Alessandra Romano; Flavia Ancora; Francesco Coppolino; Maria V Brundo; Salvatore A Raccuia; Fabrizio Puglisi; Daniele Tibullo; Piera La Cava; Cesarina Giallongo; Nunziatina L Parrinello
Journal:  Front Oncol       Date:  2015-05-21       Impact factor: 6.244

7.  α-Synuclein vaccination modulates regulatory T cell activation and microglia in the absence of brain pathology.

Authors:  Josefine R Christiansen; Mads N Olesen; Daniel E Otzen; Marina Romero-Ramos; Vanesa Sanchez-Guajardo
Journal:  J Neuroinflammation       Date:  2016-04-07       Impact factor: 8.322

8.  Standardized astragalus extract for attenuation of the immunosuppression induced by strenuous physical exercise: randomized controlled trial.

Authors:  Ewa Latour; Jaroslaw Arlet; Emilia E Latour; Artur Juszkiewicz; Karolina Łuczkowska; Anita Marcinkiewicz; Piotr Basta; Jerzy Trzeciak; Bogusław Machaliński; Anna Skarpańska-Stejnborn
Journal:  J Int Soc Sports Nutr       Date:  2021-07-16       Impact factor: 5.150

Review 9.  Targeting multiple-myeloma-induced immune dysfunction to improve immunotherapy outcomes.

Authors:  Sergio Rutella; Franco Locatelli
Journal:  Clin Dev Immunol       Date:  2012-04-11

Review 10.  Immunological dysregulation in multiple myeloma microenvironment.

Authors:  Alessandra Romano; Concetta Conticello; Maide Cavalli; Calogero Vetro; Alessia La Fauci; Nunziatina Laura Parrinello; Francesco Di Raimondo
Journal:  Biomed Res Int       Date:  2014-06-11       Impact factor: 3.411

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