Abstract
Hodgkin lymphoma is a unique malignancy in which reactive immune cells vastly outnumber the tumor cells. The microenvironment is essential in many different aspects of Hodgkin lymphoma biology and has ramifications for diagnosis, clinical presentation, and therapeutic options. In this chapter we review current knowledge on the Hodgkin lymphoma microenvironment. Its composition is highly variable and provides the basis for diagnostic subtyping. T cells are virtually always present and usually cluster together with the tumor cells in so-called rosettes. We describe mechanisms by which the tumor cells actively shape their cellular environment and how this ensures recruitment of tumor cell promoting growth factors. The tumor cells also need to employ a variety of immune escape mechanisms with a central role for antigen presentation through the human leukocyte antigen and associated immune checkpoints. Given the different pathogenetic functions of different cell types in the microenvironment, we end with reviewing data on the prognostic impact of the abundance of specific cell types.
Access provided by Autonomous University of Puebla. Download chapter PDF
Similar content being viewed by others
Keywords
- Hodgkin lymphoma
- Microenvironment
- Growth factors
- Immune escape
- Chemokines
- Cytokines
- Antigen presentation
- Immune checkpoints
- Prognosis
- Epstein-Barr virus
1 Microenvironment
1.1 Hodgkin Lymphoma Subtypes
When discussing the microenvironment in Hodgkin lymphoma (HL), it is important to recognize the different HL subtypes described by the WHO classification [1, 2]. The classical HL (cHL) subtypes are defined in large part by the composition of the reactive infiltrate (Table 4.1). The most prevalent subtype is the nodular sclerosis type that consists of a nodular background with thick fibrotic bands, usually with a thickened lymph node capsule. In addition to the lacunar type of Hodgkin/Reed-Sternberg (HRS) cells, there is a microenvironment consisting of T cells, eosinophils, and histiocytes, with a variable admixture of neutrophils, plasma cells, fibroblasts, and mast cells. The second most common subtype is mixed cellularity, which is defined by the presence of typical HRS cells and a diffuse infiltrate of T cells, eosinophils, histiocytes, and plasma cells, sometimes with the formation of granuloma-like clusters or granulomas (Fig. 4.1). Lymphocyte-rich cHL also comprises typical HRS cells in a nodular or diffuse microenvironment and small B and/or T lymphocytes dominating the background, sometimes with admixture of histiocytes. Granulocytes are not present in this subtype. The rare lymphocyte-depleted subtype harbors a high percentage of HRS cells in a background consisting of fibroblasts and a low number of T cells. Nodular lymphocyte predominance (NLP) HL is an entity that is fundamentally different from cHL. The morphology may closely resemble that of the nodular variant of the classical lymphocyte-rich subtype, both involving follicular areas with many small B cells, but NLPHL can also show other growth patterns [3]. The characteristics of the tumor cells and the T cells in NLPHL are different from cHL. HRS cells show a loss of B cell phenotype, while in NLPHL the lymphocyte-predominant (LP) tumor cells share many markers with germinal center B cells. The T cells in cHL have features of paracortical T cells, while those in NLPHL are similar to germinal center T cells (T follicular helper cells) [4,5,6].
1.2 Epstein-Barr Virus
The presence of latent Epstein-Barr virus (EBV) genomes in HRS cells appears to influence the composition of the microenvironment. Positive EBV status is strongly associated with the mixed cellularity subtype (~75% EBV-positive) and is almost always absent in NLPHL [7]. Depending on the geographic locale, EBV is present in the HRS cells in 10–40% in nodular sclerosis cases. The percentage of EBV-positive lymphocyte-rich cHL cases is not very clear, but is probably between 40% and 80%. EBV infects more than 90% of the world population and establishes a lifelong latent infection in B cells in its host. Potent cytotoxic immune responses keep the number of EBV-infected B cells at approximately 1/100,000 and usually prevents EBV-driven malignant transformation in immunocompetent individuals. Accordingly, EBV-positive cHL cases contain slightly more CD8+ cytotoxic T cells in the reactive background compared to EBV-negative cHL cases [8].
1.3 Human Immunodeficiency Virus
In patients with an impaired immune response, cHL occurs more frequently. After solid organ transplantation, there is a small increase in the incidence of cHL that can largely be attributed to EBV-positive cHL. Human immunodeficiency virus (HIV)-infected individuals have an approximate 10 times increased risk of developing cHL [9]. In comparison to non-HIV-associated cHL, these tumors are more often EBV-associated, mixed cellularity and lymphocyte depletion subtypes, and usually contain more tumor cells. This may reflect a functional defect in the immune response, in particular to EBV, presumably caused by the impairment of CD4+ T cells by HIV. On the other hand, the importance of CD4+ T cells for supporting the growth of HRS cells is also illustrated in HIV-positive patients, in which an increase in the incidence of HIV-associated cHL has been observed after introduction of highly active antiretroviral therapy (HAART) [10].
1.4 T Cell Subsets in cHL
A unifying feature of the reactive infiltrate in virtually all cHL subtypes is the presence of large numbers of CD4+ T cells. Besides being widely distributed in the background, these CD4+ T cells form a tight rosette around the tumor cells. T cells within these rosettes often have a distinct phenotype, which is different from the phenotype of the T cells that are located further away from the cHL tumor cells (Fig. 4.2).
In general, CD4+ T cells are divided into naive (CD45RA+) and memory (CD45RO+) subsets based on whether they have previously been stimulated by an antigen or not. A large subset of CD4+ T cells consists of the so-called helper T (Th) cells; these cells play an important role in helping other cells to induce an effective immune response. Th cells can be further divided into Th0 (naive), Th1 (cellular response), Th2 (humoral response), Th17 (IL-17 producing), and Treg (regulating responses of other cells) cells. The Treg cells can be further divided into Th3 (transforming growth factor-β (TGF-β) producing), Tr1 (IL-10 producing), and CD4+CD25+ Treg (originating from the thymus) subpopulations. Some, but not all, Treg cells express the transcription factor FoxP3.
The T cells in cHL consist mainly of CD4+ T cells that have a memory phenotype (CD45RO+) and express several activation markers including CD28, CD38, CD69, CD71, CD25, and HLA-DR, as well as markers like CD28, CTLA-4, and CD40L. However, these T cells lack expression of CD26 [11]. This lack of CD26 expression is most striking in the areas surrounding the tumor cells. CD26, dipeptidyl peptidase IV, regulates proteolytic processing of several chemokines, e.g., CCL5 (Rantes), CCL11 (Eotaxin), and CCL22 (MDC) [12]. CD26 is also associated with adenosine deaminase (ADA) and CD45RO and when interacting with anti-CD26 antibodies leads to enhanced T cell activation through triggering of the T cell receptor [13]. CD26 is preferentially expressed on CD4+CD45RO+ cells and is normally upregulated after activation. However, CD26 cannot be upregulated by ex vivo activation of the CD26-negative cells from cHL lesions. In general, a high CD26 expression level correlates with a Th1 subtype.
The transcription factor expression pattern indicates that the CD4+ T cells in cHL are predominantly Th2 (c-Maf) and Treg (FoxP3) [4, 14]. The CD4+CD26− T cell subset in cHL has reduced mRNA levels of Th1- and Th2-associated cytokines in comparison to the CD4+CD26+ T cells from cHL and CD4+ T cells (both CD26− and CD26+) in reactive lymph nodes [15]. Based on much higher mRNA expression levels of IL-2RA (CD25), CCR4, FoxP3, CTLA4, TNFRSF4 (OX-40), and TNFRSF18 (GITR) observed in the CD4+CD26− T cells from cHL, it has been postulated that these cells have a Treg phenotype (Fig. 4.2). In addition, mildly enhanced IL-17 levels can be observed both in CD4+CD26− and CD4+CD26+ T cells from cHL in comparison to the T cells from tonsil. Upon stimulation, the CD4+CD26− T cells fail to induce expression of cytokines, suggesting that the T cell population rosetting around the HRS cells or located in the direct vicinity of the HRS cells have an anergic phenotype (i.e., do not respond to stimulation) [15]. Immunohistochemistry for several Treg-associated molecules demonstrates that the rosetting T cells in cHL express GITR, CCR4, and CD25, but not FoxP3. Scattered FoxP3-positive cells are present in the infiltrate, but only rarely in the direct vicinity of the HRS cells, whereas CTLA-4 shows a more diffuse presence [15]. Likewise, a small number of scattered IL-17-positive cells can be found in the reactive infiltrate. Th17 cells are generally pro-inflammatory, but given the abundance of TGF-β and IL-6 in the Hodgkin microenvironment, the observed IL-17-positive cells might be yet another type of regulatory cells, termed Treg17 cells. Although the vast majority of studies indicate that the CD4+ T cells in cHL are (anergic) Th2 cells and Treg cells, some studies showed a predominant Th1-type pattern in whole lymph node cell suspensions, with a mild increase in EBV-positive cHL [16]. These findings are not contradictory, as these Th1-like cells are located mainly outside the areas where R-S cells and T cell rosettes are found [17, 18].
1.5 T Cell Subsets in NLPHL
The CD4+ T cells in NLPHL resemble the CD4+ T cells in cHL, regarding the expression of CD45RO, CD69, CTLA4, and CD28 and lack of CD26. However, the T cells in NLPHL do not express CD40L, and a significant proportion of the T cells that immediately surround the LP cells express CD57 and PD-1 [19, 20]. Similar to the Th2 cells in cHL, the rosetting cells in NLPHL strongly express the Th2-associated transcription factor c-Maf (Fig. 4.3; [4]).
Characterization of the cytokine profile of the CD4+CD57+ T cell subset shows lack of IL-2 and IL-4 mRNA, but elevated interferon-γ (IFN-γ) mRNA levels in comparison to CD57+ T cells from tonsils. Stimulation of these cells fails to induce IL-2 and IL-4 mRNA levels [21], which is similar to the lack of cytokine induction upon stimulation of the CD26− T cells in cHL. In normal tissue, CD4+CD57+ T cells are found almost exclusively in the light zone of reactive germinal centers and also lack CD40L expression. CD57 is known as an activation marker, but it has also been demonstrated to be a marker for senescent cells. Senescence is the phenomenon by which normal diploid cells lose the ability to divide, normally after about 50 cell divisions. PD-1+ T follicular helper cells are present in NLPHL; these cells normally provide help to B cells during the germinal center reaction. Another cell population, consisting of CD4+CD8+ dual positive T cells, has been reported to be present in more than 50% of NLPHL tumors. A similar population was found in reactive lymph nodes with progressively transformed germinal centers, which can also be seen in conjunction with NLPHL. In normal peripheral blood, they constitute 1–2% of T cells. The function of these cells is ill defined, and currently they are considered to be potent immunosuppressors and/or to have high cytotoxic potential [22].
1.6 Fibrosis and Sclerosis
The presence of bands of collagen surrounding nodules and blood vessels is typical of the nodular sclerosis subtype. Several factors can induce the activation of fibroblasts and the subsequent deposition of extracellular matrix proteins. The Th2 cells in cHL might provide a profibrogenic microenvironment by the production of the Th2 cytokine IL-13. IL-13 is expressed at a higher level in nodular sclerosis than in mixed cellularity cHL. Moreover, the percentage of IL-13 receptor-positive fibroblasts is increased in nodular sclerosis cHL cases [23]. IL-13 stimulates collagen synthesis in vitro and also stimulates the production of TGF-β, another potent stimulator of fibrosis. TGF-β can interact with basic fibroblast growth factor (bFGF) to induce formation of fibrosis in cHL. In a mouse model for fibrosis, the simultaneous application of TGF-β and bFGF causes persistent fibrosis [24]. Both TGF-β and bFGF are produced by HRS cells as well as the reactive background [25, 26]. They are produced more prominently in nodular sclerosis than in mixed cellularity cHL [27]. The third factor that stimulates fibroblasts in cHL is the engagement of CD40. CD40, a member of the tumor necrosis factor receptor (TNFR) superfamily, can be upregulated on fibroblasts by IFN-γ. The ligand of CD40 (CD40L) is present on activated T cells, mast cells, and eosinophils present in the cHL microenvironment.
1.7 Eosinophils, Plasma Cells, Mast Cells, and B Cells
Presence of eosinophils in the reactive infiltrate can be promoted by both IL-5, produced by Th2 cells, and by IL-9. In cHL patients with eosinophilia in the peripheral blood, HRS cells produce IL-5 and IL-9 [28]. In addition, eosinophils are attracted to cHL tissues by the production of the chemokine CCL11, especially in nodular sclerosis cHL. CCL11 levels can be enhanced by the production of tumor necrosis factor-α (TNF-α) by the HRS cells, which in turn can induce CCL11 production in fibroblasts. This process is specific for cHL since other lymphomas with tissue eosinophilia show no expression of CCL11 [29]. HRS cells also produce CCL28 (MEC), and expression of CCL28 correlates with the presence of eosinophils and plasma cells in cHL. CCL28 attracts eosinophils by signaling through the chemokine receptor CCR3 and attracts plasma cells through CCR10 [30]. CCL5 is produced at high levels by the reactive infiltrate in cHL and can attract eosinophils as well as mast cells. CCL5 and IL-9 may both contribute to the attraction of mast cells in cHL [31]. The stimulation and recruitment of eosinophils in cHL can be illustrated in bone marrow biopsies that often show enhanced granulopoiesis with many eosinophils in the absence of HRS cells. IL-6 produced by HRS cells in some cases of cHL may explain the presence of variable numbers of plasma cells [32]. B cells that express CD20, CD21, IgM, and bcl-6 can be found in the microenvironment of cHL [33]. It is possible that these cells are remnants of the original lymph node B cell areas. Plasma cells, mast cells, and eosinophils are generally absent in NLPHL.
2 Cross-Talk between HRS Cells and Microenvironment (Fig. 4.4)
2.1 Factors Supporting Tumor Growth
It is likely that HL tumor cells originate from a precursor B cell that has become addicted to activating and growth-supporting stimuli during a deregulated immune response. Many additional events are needed to account for the highly deregulated malignant phenotype of HRS and LP cells. Although the tumor cells attain multiple alternative mechanisms to circumvent the dependence on growth-stimulating signals from the reactive infiltrate, they usually are not self-sufficient at the time of diagnosis. This is reflected by the inability to generate cell lines from primary HL cell suspensions.
IL-3 can function as a growth factor for B cells and is produced by activated Th2 cells, mast cells, and eosinophils. Its functions include protection against apoptosis and stimulation of proliferation. Most HRS cells express the IL-3 receptor, and exogenous IL-3 promotes growth of cHL cell lines. Costimulation of HL cell lines with IL-3 and IL-9 results in a further enhancement of cell growth [34]. There is no evidence that HRS cells produce IL-3, so this signaling pathway depends on IL-3 produced by the reactive infiltrate. In contrast, IL-7 is most likely an autocrine as well as a paracrine growth factor for HRS cells, since HRS cells express both the IL-7 receptor and produce IL-7 [35]. cHL cell lines also produce IL-7, albeit at very low levels, and anti-IL-7 treatment has some effect on cell growth. Addition of IL-7 to HL cell line cultures increased proliferation and protected against apoptosis. Moreover, fibroblasts isolated from cHL tissues are able to produce IL-7 [36]. Other growth factors important for HRS cells are IL-9, IL-13, IL-15, and, possibly, IL-6. IL-9 is expressed by the tumor cells and not by the infiltrating cells, and the IL-9 receptor is expressed on cHL tumor cells and mast cells. IL-9 supports tumor growth in cell lines and functions as an autocrine factor in cHL tissue [31]. IL-13 produced by HRS cells as well as the surrounding T cells drives proliferation and is mostly autocrine [37]. Both IL-15 and the IL-15R are expressed by HRS cells. IL-15 induces proliferation of HL cell lines and protects them against apoptosis [38]. IL-6 is mainly produced by HRS cells and occasionally by the infiltrating cells [32]. In general, IL-6 is found at higher levels in EBV-positive cases [39]. IL-6 might have an autocrine effect although neutralizing antibodies have no effect on the growth of cHL cell lines.
The signaling of cytokines upon binding to their receptors leads to activation of the JAK-STAT pathway. This pathway is constitutively activated in HL cell lines [40, 41], and several of the STAT family members are expressed in HRS cells of primary cHL cases [42, 43]. In addition to the presence of cytokines, amplifications of 9p24.1, including the JAK2 gene locus found in part of the cHL cases [44], can further enhance constitutive activation of this pathway. Functional studies in cHL cell lines have shown that STAT3 is involved in proliferation [45], while STAT1 and STAT6 play a role in protection against apoptosis [46]. Binding of IL-21 to the IL-21R expressed on HL cell lines causes phosphorylation of STAT5 and induces proliferation [47].
HRS cells express several members of the TNFR superfamily including CD30, which has been used as a marker for cHL since the early 1980s. The CD30 ligand (CD30L) is expressed on eosinophils [48] and mast cells [49] that are present in the cHL infiltrate. Circulating eosinophils in cHL patients also have increased expression levels of CD30L [48]. Binding of CD30L to CD30 causes enhanced secretion of IL-6, TNFα, lymphotoxin-α, increased expression of ICAM-1 and B7, and, possibly, increased clonogenic growth and protection against apoptosis in cHL cell lines [50]. Another TNFR expressed on HRS cells is CD40. CD40 is generally found on B cells, and B cells can be activated through CD40. In vitro rosetting of activated CD4+ T cells around HRS cells is mediated through the CD40L adhesion pathway [51]. Engagement of CD40 is important for the prevention of apoptosis. Similar to stimulation of CD30, stimulation of HRS cell lines with CD40L causes enhanced secretion of several cytokines and upregulation of costimulatory molecules [50].
Several receptor tyrosine kinases (RTKs) are expressed by HRS cells and can have a role in cell growth. Their ligands are expressed on cells present in the microenvironment or by the HRS cells themselves. Inhibition of PDGFRA, expressed by the HL tumor cells, by imatinib blocks proliferation. Its ligand, PDGFA, is also produced by the HRS cells indicating autocrine signaling [52]. DDR1 [53] and DDR2 [52] can protect HRS cells from cell death by binding to collagen, which is present in the immediate surrounding of HRS cells. Knockdown of DDR1 decreases survival of the L428 cHL cell line [53]. TRKA, the receptor for NGF, is expressed by granulocytes [52], and TRK inhibition decreases growth of cHL cell lines [54]. EPHB1 and its ligand ephrin-B1 are both expressed by HRS cells [52]. The HGF receptor c-Met is expressed on HRS cells and inhibition causes G2/M cell cycle arrest in HL cell lines. HGF is produced by the tumor cells in a small group of patients and by dendritic reticulum cells [55]. Insulin-like growth factor receptor (IGF-1R) is expressed in 55% of cHL patients, and inhibition of IGF-1R decreases cell growth and induces G2/M cell cycle arrest in HL cell lines [56]. Its ligand IGF-1 is expressed by cells in the microenvironment [57]. PDGFRA, DDR2, EPHB1, RON, TRKA, and TRKB are found especially in EBV-negative HL [58], while DDR1 is upregulated by LMP1 [53].
The Notch1 receptor is an upstream regulator of NFκB [59]. It is highly expressed by HRS cells and stimulation via Jagged1 induces proliferation and survival of cHL cell lines [60].
2.2 Shaping the Environment
In addition to the production of several growth factors, HRS cells also produce large amounts of chemokines to attract specific beneficial or nonreacting cells. The lack of CD26 on the T cells surrounding the HRS cells may result in an incapability to cleave chemokines and thereby modulates the chemotactic effects exerted by the HRS cells. The attraction of specific populations of cells is an important immune escape mechanism exerted by the tumor cells.
The most abundant and cHL-specific chemokine is CCL17 (TARC); it binds to CCR4 on Th2 cells, Treg cells, basophils, and monocytes. CCL17 is highly expressed by HRS cells in ~95% of cHL patients but not in NLPHL and most non-Hodgkin lymphomas [61, 62]. CCL17 can be measured in serum and plasma and is a sensitive and specific marker reflecting cHL tumor burden [63,64,65,66,67]. High expression levels of CCL17 might explain the influx of lymphocytes with a Th2- and Treg-like phenotype, and CCL17-positive cases are indeed associated with a higher percentage of CCR4-positive cells (Fig. 4.2; [62, 68]). In turn, Th2-type cytokines (IL-4, IL-13) can induce the production of CCL17 by HRS cells. CCR4-positive T cells are found especially in the rosettes immediately surrounding the HRS cells [15, 69]. CCL22 is another chemokine that has a similar function as CCL17. High CCL22 protein expression levels were found in the cytoplasm of HRS cells in 90–100% of cHL patients and also in tumor cells in the majority of NLPHL and non-HL patients [70,71,72,73]. CCL22 production can also be stimulated by Th2 cytokines, IL-4 and IL-13, and may reinforce the attraction of Th2 and Treg cells, initiated by CCL17. Stimulation of the IL-21 receptor on HRS by IL-21 activates STAT3, which can induce CCL20 (MIP3α) production. CCL20 in turn attracts memory T cells and Treg cells [74]. HRS cells express both IL-21 and the IL-21 receptor, indicating presence of an autocrine signaling loop. The expression of some chemokines is more pronounced in EBV-positive cHL (i.e., CXCL9 and CXCL10), and as a result the composition of the reactive background is somewhat different from that in EBV-negative cHL, with a slightly higher proportion of CD8+ T cells in EBV-positive cases and more T cells with a Tr-1 phenotype (expressing LAG3, ITGA2, and ITGB2) [75]. T cell recruitment is also enhanced by the upregulation of adhesion molecules on endothelial cells, induced by LTα [76] produced by HRS cells [77].
In addition to attracting specific cell subsets by chemotaxis, HRS cells also shape their environment by inducing differentiation of specific T cell subsets that are favorable for HRS cell survival and growth. The expression of IL-13 by the HRS cells stimulates differentiation of naïve T cells to Th2 cells [37]. The production of IL-7 by HRS cells and fibroblasts can induce proliferation of Tregs [36]. Also, cHL cell lines with antigen-presenting functions like KMH2 and L428 have been shown to promote the differentiation of Treg like cells in vitro (expressing CD4, CD25, FoxP3, CTLA4, and GITR and producing large amounts of IL-10). Interestingly, these cell lines can also induce the formation of CD4+ cytotoxic T cells (expressing granzyme B and TIA-1) that can kill tumor cells directly, suggesting that CD4+ cytotoxic T cells have the potential to attack tumor cells in vivo [78].
3 Immune Escape Mechanisms (Fig. 4.4)
3.1 Antigen Presentation
The importance of antigen presentation in the pathogenesis of cHL has been suggested by the association of specific HLA subtypes with increased cHL incidence. cHL is more common in Caucasians as compared to Asians and about 4.5% of cHL cases occur in families [79, 80]. A three- to sevenfold increased risk has been observed in first-degree relatives and siblings. In monozygotic twins, the co-twin has an approximate 100-fold increased risk of developing cHL compared to dizygotic twins [81]. From the 1970s, a number of serological HLA types have been associated with the occurrence of cHL. More recently, a genetic screen of the entire HLA region showed a strong association between the HLA-A gene and EBV-positive cHL and the HLA class II region with EBV-negative cHL [82, 83]. Four independent genome-wide association studies have confirmed that the HLA region is the strongest genetic susceptibility locus in cHL [84,85,86,87]. In EBV-positive cHL, it can be hypothesized that this association is related to insufficient presentation of EBV antigenic peptides. These antigenic peptides most likely are derived from the latency type II genes that are expressed in cHL, i.e., LMP1, LMP2, and EBV-related nuclear antigen 1 (EBNA1). EBV partially escapes cytotoxic immune responses by downregulating immunodominant latent genes (EBNA2 and EBNA3). In addition, the glycine-alanine repeat in EBNA1 largely prevents its presentation by HLA class I by blocking its degradation into antigenic peptides through the proteasome [88]. However, subdominant immune responses to LMP2 and to a lesser extent LMP1 are present in healthy EBV-infected individuals [89]. In fact, adoptive immunotherapy in relapsed EBV-positive cHL has been used in some small studies with success. In these studies, peripheral blood from cHL patients was used to generate EBV-specific cytotoxic T cells in vitro, and these were reinfused. Some durable complete responses were observed, with better responses if the cytotoxic T cells were specifically targeted to LMP2 [90,91,92] (Fig. 4.4). Interestingly, the genetic association of the HLA-A gene with EBV-positive cHL is attributed to the presence of the HLA-A∗01 type and absence of the HLA-A∗02 type [93]. HLA-A∗01 is known to have a low affinity for LMP2- and LMP1-derived antigenic peptides, while HLA-A∗02 can present these peptides very well. This suggests that EBV-positive cHL is more likely to occur after primary EBV infection if an individual’s set of HLA class I molecules cannot properly present LMP2 and LMP1 to the immune system [94].
3.2 HLA Class I Expression
Defects in the antigen-presenting pathways are very common in solid malignancies, as well as in many B cell lymphomas, and are an obvious mechanism to escape from antitumor immune responses. In EBV-negative cHL, less than 20% of cases retain expression of cell surface HLA class I on the HRS cells at the time of diagnosis. Paradoxically, HLA class I expression by HRS cells is retained in ~75% of EBV-positive cHL patients [95,96,97]. One common mechanism of HLA class I loss is presence of somatic mutations in the β2-microglobulin gene. This leads to loss of β2-microglobulin protein, which is necessary for HLA class I assembly and transport to the cell surface. Other mechanisms also appear to be involved as immunohistochemistry has shown cytoplasmic β2-microglobulin expression in part of the cases that lost HLA class I heavy chain expression [98]. These different mechanisms may indicate that downregulation of HLA class I is based on clonal selection by continuous cytotoxic immune responses. This may be related to the presence of antigenic peptides that are related to malignant transformation or disease progression. However, downregulation of HLA class I generally induces activation of natural killer (NK) cells. These cells contain HLA class I-specific inhibitory receptors and are sparse in the reactive infiltrate of cHL. The inhibitory receptors can also be engaged by the nonclassical HLA class I-like molecule known as HLA-G. In about two thirds of the HLA class I-negative cHL cases, the HRS cells indeed express HLA-G [98]. Besides NK cell inhibition, HLA-G might also induce Treg cells and inhibit cytotoxic T cell responses. Another immune escape mechanism consists of the proteolytic cleavage of MHC (HLA) class I-related chain-A (MIC-A) by ERp5 and ADAM10, which are both expressed by HRS cells. MIC-A is a membranous ligand for the activating NKG2D receptor present on cytotoxic T cells. In addition, the NKG2D receptor expression by these cytotoxic T cells is reduced in the presence of TGF-β [99].
3.3 HLA Class II Expression
HLA class II cell surface expression on HRS cells is lost in approximately 40% of all cHL patients [95]. In addition, translocations involving CIITA have been found in 15% of cHL patients and may result in partial downregulation of HLA class II expression [101]. The absence of HLA class II is weakly related to extranodal disease, EBV-negative status, and absence of HLA class I cell surface expression. Lack of HLA class II expression has been associated with adverse failure-free survival and relative survival and is independent of other prognostic factors [95]. It can be hypothesized that antigen presentation in the context of HLA class II is involved in recruitment and activation of CD4+ T cells early in cHL pathogenesis. Under the influence of immunomodulating mechanisms, these T cells are important in providing trophic factors for HRS cells and also have a role in inhibiting Th1 responses. In the initial stages of cHL pathogenesis, HRS cells are probably highly dependent on the reactive infiltrate and expression of HLA class II, but as the lymphoma develops, this dependency may weaken because of alternative trophic and immunosuppressive strategies. Thus, downregulation of HLA class II without loss of viability of HRS cells might occur when the HRS cells have grown less dependent on the reactive infiltrate. This is supported by the finding that downregulation of HLA class II is associated with extranodal disease [95].
3.4 Immune Checkpoints
Immune checkpoint molecules have gained much attention due to their use as treatment targets. Both CTLA-4 and PD-1 blockade have shown remarkable results in cHL patients in clinical trials.
CTLA-4 is expressed exclusively on T cells upon activation. It gives an inhibitory signal early after T cell activation, by binding to CD80/CD86 with a higher avidity than the costimulatory molecule CD28. This limits T cell activation and proliferation [101, 102]. Interestingly, CTLA-4 is present on the characteristic CD26− T cells in HL [15]. Moreover, HL cell lines are able to induce differentiation of naïve T cells into CTLA4+ Tregs [78]. So far, two clinical trials have exploited the use of a monoclonal antibody targeting CTLA-4 in relapsed and refractory HL after allogeneic hematopoietic cell transplantation. Objective response rates were observed in 2 out of 14 and 1 out of 7 cases [103, 104].
The interaction partner of PD-L1, PD-1, is present on activated T cells, B cells, macrophages (which also express PD-L1), and NK cells within the microenvironment [105, 106]. PD-L1 is highly expressed on HRS cells [105, 107], due to a selective amplification of the PD-L1 region on 9p24.1 [44], activation of AP-1 and LMP-1 [107], or chromosomal alterations involving the CIITA locus [100]. Anti-PD-1 therapy in relapsed and refractory HL patients, using the monoclonal antibodies nivolumab or pembrolizumab, showed objective response rates in 65–87% of the cHL patients [108,109,110,111]. The mechanism of action of PD-1 blockade in HL remains unknown, but multiple mechanisms have been studied. In contrast to solid tumors where CD8+ cytotoxic T cells seem to be the main effector cells [112], CD4+ T cells might have an important role in mediating the antitumor immune response in HL. CD8+ T cells recognize the tumor cells through (neo)antigens presented in the context of HLA class I, which can ultimately lead to eradication of the tumor cells. However, HLA class I is often absent on HRS cells, making a central role for CD8+ T cells in immune checkpoint efficacy unlikely [96]. In HL, the inflammatory infiltrate is mainly dominated by CD4+ T cells, which are more often in direct contact with the HRS cells when compared to CD8+ T cells. In addition, CD4+PD-1+ T cells are more frequently bound to PD-L1+ HRS cells [113]. The majority of complete responders to nivolumab lack membranous HLA class I expression, while being positive for membranous HLA class II expression. Also, presence of HLA class II is predictive for a prolonged progression-free survival in patients treated with nivolumab >12 months after myeloablative autologous stem cell transplantation, in contrast to presence of HLA class I [114]. Although many studies on PD-1 blockade focused on T cells, expression of PD-1 on T cells in direct contact with HRS cells is rare, and their numbers are significantly lower in cases with PD-L1 gain [115]. Interestingly, exhausted PD-1+ CD3+CD56hiCD16− NK cells are enriched in HL, and their activation can be inhibited by PD-L1+CD163+CD14+ tumor-associated macrophages, which are also increased in HL. This inhibition was effectively reversed by PD-1 blockade [106]. This indicates the importance of other cell types in responses to PD-1 blockade that are currently less well characterized.
An interesting molecule with regard to the role of CD4+ T cells in responses to anti-PD-1 therapy is LAG-3. LAG-3 is an immune checkpoint molecule expressed on activated T cells, NK cells, B cells, and plasmacytoid dendritic cells [116]. The main interaction partner for LAG-3 is HLA class II, to which LAG-3 binds with higher affinity than CD4 [117]. LAG-3 is upregulated on Tregs, and LAG-3-positive lymphocytes are enriched in the proximity of HRS cells [118, 119]. Increased LAG-3 expression was observed especially in EBV-positive cHL cases [118, 120]. Interestingly, the percentage of LAG-3-positive cells was enriched in CD4+ T cells that express a high intracellular CTLA-4 and GITR, but not FOXP3+ [118]. The GITRhi CD4+ T cells are frequently in direct contact with HRS cells [15]. Moreover, CD4+LAG-3+ cells are significantly expanded in patients with active disease, which is in concordance with the ability of HL cell line supernatant to increase expansion of CD4+LAG-3+ regulatory T cells within PBMCs. In addition, higher FOXP3 and LAG-3 expression on tumor-infiltrating lymphocytes is associated with decreased LMP1- and LMP2-specific CD8+ T cell function [118]. Altogether this implicates an important role for LAG-3 in inhibiting (EBV) mediated cellular immunity in HL and points to LAG-3 as an interesting treatment target in combination with PD-1 blockade.
Currently, more and more immune checkpoint molecules are emerging as potential targets for therapy. Some of these are less well studied in the context of HL. For example, HRS cells express HVEM and CD200/CD200R [121] in addition to the earlier mentioned checkpoints, whereas TIM-3+ T cells are present within the inflammatory infiltrate [120], indicating the complexity of immunosuppressive mechanisms within the HL microenvironment.
3.5 Immunosuppression
As normal B cells are professional antigen-presenting cells, HRS cells are expected to present antigens to the immune system, at least early in disease pathogenesis. Indeed, most components of the HLA class I and HLA class II antigen-presenting pathways have been detected in the HRS cells at the time of diagnosis. However, Th1 cells are not actively attracted by the HRS cells and CD8+ T cells are relatively scarce. Moreover, HRS cells have gained the capacity to prevent CD8+ T cells from attacking by producing high amounts of the strongly immunosuppressive cytokines TGF-β and IL-10. TGF-β is produced by HRS cells in nodular sclerosis cHL [25, 26], whereas IL-10 is more frequently found in EBV-positive (mixed cellularity) cHL [122, 123]. In normal cells, TGF-β is produced in an inactive form, which can be activated by acidification. TGF-β produced by cHL cell lines is active at a physiological pH and has a high molecular weight [124]. The same high molecular weight form of TGF-β can also be found in the urine of cHL patients [125] indicating that in patients HRS cells are able to produce the active TGF-β form.
Tregs present in the microenvironment of cHL are highly immunosuppressive and contain Tr1 (IL-10-producing Tregs) as well as CD4+CD25+ Tregs. IL-10, cell-cell contact, and CTLA4 play a main role in executing their immunosuppressive function [126]. In addition, HRS cells express galectin-1, an animal lectin, which can cause apoptosis in activated T cells, induce differentiation into Treg cells, and contribute to the elimination of an effective antitumor response in cHL [127]. Galectin-1 expression blocks CD8+ T cell responses against LMP1 and LMP2 in EBV-positive cHL [128]. HRS cells express FAS and the FAS ligand. However, there are some mechanisms protecting the HRS cells from apoptosis induction, such as FAS mutations in a small proportion of cases and c-FLIP overexpression in all cases [129]. Presumably, activated Th1 and CD8+ T cells expressing FAS are driven into apoptosis by the FAS ligand expression on the HRS cells. Also, indoleamine 2,3-dioxygenase (IDO), a known immunosuppressor, is expressed by histiocytes, dendritic cells, and endothelial cells in the microenvironment of cHL. IDO is found more often in EBV-positive HL, upregulates the number of Tregs [130], and potentially blocks the CD8+ T cell response [131]. In EBV-positive cHL, the Th1-inducing cytokine IL-12 is expressed in T cells surrounding the HRS cells, and its presence suggests that these T cells have the potential to induce antitumor activity [132]. However, an EBV-induced IL-12-related cytokine called EBI3 can block this Th1 response and is produced by HRS cells [133].
4 Prognostic Impact of the Microenvironment
Several research groups studied the cHL reactive infiltrate in relation to prognosis. Gene expression profiling of whole tissue and subsequent validation by immunohistochemistry showed that high numbers of CD68-positive cells are related to adverse outcome [134]. In a meta-analysis of almost 3000 patients, a high density of CD68+ tumor-associated macrophages predicted overall survival, shorter progression-free survival, and poor disease survival in adult cHL [135]. Similar findings were obtained for CD163+ macrophages in this study. Analysis of 100 pediatric cHL revealed that especially M2 macrophages, characterized by co-expression of CD163 and c-Maf, are associated with poor survival, while M1 macrophages are associated with better survival [136]. In some studies tumor-associated macrophages were associated with EBV-positive tumors [135, 137] and presence of other cell types in the microenvironment, such as cytotoxic T cells [136] and mast cells [138]. Patients with a higher degree of mast cell infiltration or with tissue eosinophilia have an adverse failure-free survival, probably because the CD30L expression by these cell types is advantageous to the HRS cells [48, 49, 138].
Large numbers of Th2 cells in the microenvironment, as determined by c-Maf expression, correlate with improved disease-free survival [14]. Also, increased numbers of infiltrating Treg cells seem to correlate with improved survival as this effect was observed in two out of three studies [14, 139, 140]. Accordingly, a high percentage of activated CD8+ granzyme B+ T cells is a strong indicator of unfavorable clinical outcome [141]. More recently, a high proportion of Treg cells and the associated anergic phenotype of the microenvironment has been associated with a shorter time to progression [137]. A high CD4/CD8 T cell ratio was associated with treatment failure [142]. A high ratio of FoxP3 to cytotoxicity markers granzyme B [140] or Tia-1 [139] gives the best predictive value for a good prognosis and has also been correlated to the presence of macrophages [136, 138], which might—in part—explain these effects. In other malignancies the presence of Tregs and the absence of CD8+ T cells have been associated with adverse prognosis. One explanation of this opposite effect might be that HRS cells are expected to behave more aggressively as they develop a stronger independency from the reactive infiltrate. In this situation a hostile microenvironment is allowed, because the HRS cells have acquired alternative immune evasive strategies. This theory fits with the adverse prognostic impact of absence of HLA class II expression.
5 Conclusion
The microenvironment is a fundamental component of the tumor mass and an essential pathogenetic factor in cHL and NLPHL. It supplies the tumor cells with growth factors and inhibits antitumor immune responses. In fact, it could be stated that the infltrate does not consist of ‘innocent bystanders’ but contains ‘guilty opportunists’ [31]. As the tumor cells and the reactive infiltrate grow up together, there is an extensive cross-talk between these two components. The tumor cells actively attract and shape their environment for their own benefit and make use of a number of mechanisms to fend off antitumor immune responses.
References
Poppema S, Delsol G, Pileri SA et al (2008) Nodular lymphocyte predominant Hodgkin lymphoma. In: Swerdlow SH, Campo E, Harris NL et al (eds) WHO classification of tumours of haematopoietic and lymphoid tissues. IARC, Lyon
Stein H, Delsol G, Pileri SA et al (2016) Classical Hodgkin lymphoma, introduction. In: Swerdlow SH, Campo E, Harris NL et al (eds) WHO classification of tumours of haematopoietic and lymphoid tissues. IARC, Lyon
Fan Z, Natkunam Y, Bair E, Tibshirani R, Warnke RA (2003) Characterization of variant patterns of nodular lymphocyte predominant Hodgkin lymphoma with immunohistologic and clinical correlation. Am J Surg Pathol 27:1346–1356
Atayar C, van den Berg A, Blokzijl T et al (2007) Hodgkin lymphoma associated T-cells exhibit a transcription factor profile consistent with distinct lymphoid compartments. J Clin Pathol 60:1092–1097
Carbone A, Gloghini A, Cabras A et al (2009) Differentiating germinal center-derived lymphomas through their cellular microenvironment. Am J Hematol 84:435–438
Sattarzadeh A, Visser L, Rutgers B, Diepstra A, van den Berg A (2016) Characterization of the microenvironment of nodular lymphocyte-predominant Hodgkin lymphoma. Int J Mol Sci 17:e2127
Huppmann AR, Nicolae A, Slack GW et al (2014) EBV may be expressed in the LP cells of nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) in both children and adults. Am J Surg Pathol 38:316–324
Oudejans JJ, Jiwa NM, Kummer JA et al (1996) Analysis of major histocompatibility complex class I expression on Reed-Sternberg cells in relation to the cytotoxic T-cell response in Epstein-Barr virus-positive and -negative Hodgkin’s disease. Blood 87:3844–3851
Goedert JJ, Cote TR, Virgo P et al (1998) Spectrum of AIDS-associated malignant disorders. Lancet 351:1833–1839
Biggar RJ, Jaffe ES, Goedert JJ et al (2006) Hodgkin lymphoma and immunodeficiency in persons with HIV/AIDS. Blood 108:3786–3791
Poppema S (1996) Immunology of Hodgkin’s disease. Ballieres Clin Haematol 9:447–457
Wolf M, Albrecht S, Marki C (2008) Proteolytic processing of chemokines: implications in physiological and pathological conditions. Int J Biochem Cell Biol 40:1185–1198
Von Bonin A, Huhn J, Fleischer B (1998) Dipeptidyl-peptidase IV/CD26 on T cells: analysis of an alternative T-cell activation pathway. Immunol Rev 161:43–53
Schreck S, Friebel D, Buettner M et al (2009) Prognostic impact of tumour-infiltrating Th2 and regulatory cells in classical Hodgkin lymphoma. Hematol Oncol 27:31–39
Ma Y, Visser L, Blokzijl T et al (2008) The CD4+CD26− T-cell population in classical Hodgkin’s lymphoma displays a distinctive regulatory T-cell profile. Lab Investig 88:482–490
Greaves P, Clear A, Owen A et al (2013) Defining characteristics of classical Hodgkin lymphoma microenvironment T helper cells. Blood 122:2856–2863
Wu R, Sattarzadeh A, Rutgers B, Diepstra A, van den Berg A, Visser L (2016) The microenvironment of classical Hodgkin lymphoma: heterogeneity by Epstein-Barr virus presence and location within the tumor. Blood Cancer J 6:e417
Cader FZ, Schackmann RCJ, Hu X et al (2018) Mass cytometry of Hodgkin lymphoma reveals a CD4(+) regulatory T-cell-rich and exhausted T-effector microenvironment. Blood 132:825–836
Nam-Cha SH, Roncador G, Sanchez-Verde L et al (2008) PD-1, a follicular T-cell marker useful for recognizing nodular lymphocyte-predominant Hodgkin lymphoma. Am J Surg Pathol 32:1252–1257
Sattarzadeh A, Diepstra A, Rutgers B, van den Berg A, Visser L (2015) CD57+ T-cells are a subpopulation of T-follicular helper cells in nodular lymphocyte-predominant Hodgkin lymphoma. Exp Hematol Oncol 4:27
Atayar C, Poppema S, Visser L et al (2006) Cytokine gene expression profile distinguishes CD4+/CD57+ T-cells of nodular lymphocyte predominance type of Hodgkin lymphoma from their tonsillar counterparts. J Pathol 208:423–430
Rahemtullah A, Harris NL, Dorn ME et al (2008) Beyond the lymphocyte predominant cell: CD4+CD8+ T-cells in nodular lymphocyte predominant Hodgkin lymphoma. Leuk Lymphoma 49:1870–1878
Ohshima K, Akaiwa M, Umeshita R et al (2001) Interleukin-13 and interleukin-13 receptor in Hodgkin’s disease: possible autocrine mechanism and involvement in fibrosis. Histopathology 38:368–375
Shinozaki M, Kawara S, Hayashi N et al (1997) Induction of subcutaneous tissue fibrosis in newborn mice by transforming growth factor-b – simultaneous application with basic growth factor causes persistent fibrosis. Biochem Biophys Res Commun 237:292–296
Kadin M, Butmarc J, Elovic A et al (1993) Eosinophils are the major source of transforming growth factor-beta 1 in nodular sclerosing Hodgkin’s disease. Am J Pathol 142:11–16
Newcom SR, Gu L (1995) Transforming growth factor beta 1 messenger RNA in Reed-Sternberg cells in nodular sclerosing Hodgkin’s disease. J Clin Pathol 48:160–163
Ohshima K, Sugihara M, Suzumiya J et al (1999) Basic fibroblast growth factor and fibrosis in Hodgkin’s disease. Pathol Res Pract 195:149–155
Samoszuk M, Nansen L (1990) Detection of interleukin-5 messenger RNA in Reed-Sternberg cells of Hodgkin’s disease with eosinophilia. Blood 75:13–16
Jundt F, Anagnostopoulos I, Bommert K et al (1999) Hodgkin/Reed-Sternberg cells induce fibroblasts to secrete eotaxin, a potent chemoattractant for T cells and eosinophils. Blood 94:2065–2071
Hanamoto H, Nakayama T, Miyazato H (2004) Expression of CCL28 by Reed-Sternberg cells defines a major subtype of classical Hodgkin’s disease with frequent infiltration of eosinophils and/or plasma cells. Am J Pathol 164:997–1006
Glimelius I, Edstrom A, Amini RM et al (2006) IL-9 expression contributes to the cellular composition in Hodgkin lymphoma. Eur J Haematol 76:278–283
Jucker M, Abts H, Li W et al (1991) Expression of interleukin-6 and interleukin-6 receptor in Hodgkin’s disease. Blood 77:2413–2418
Tudor CS, Distel LV, Eckhardt J et al (2013) B cells in classical Hodgkin lymphoma are important actors rather than bystanders in the local immune reaction. Hum Pathol 44:2475–2486
Aldinucci D, Poletto D, Nanni P et al (2002) Expression of functional interleukin-3 receptors on Hodgkin and Reed-Sternberg cells. Am J Pathol 160:585–596
Foss HD, Hummel M, Gottstein S et al (1995) Frequent expression of IL-7 gene transcripts in tumor cells of classical Hodgkin’s disease. Am J Pathol 146:33–39
Cattaruzza L, Gloghini A, Olivo K et al (2009) Functional coexpression of interleukin (IL)-7 and its receptor (IL-7R) on Hodgkin and Reed-Sternberg cells: involvement of IL-7 in tumor cell growth and microenvironmental interactions of Hodgkin’s lymphoma. Int J Cancer 125:1092–1101
Kapp U, Yeh WC, Patterson B et al (1999) Interleukin 13 is secreted by and stimulates the growth of Hodgkin and Reed-Sternberg cells. J Exp Med 189:1939–1946
Ullrich K, Blumenthal-Barby F, Lamprecht B et al (2015) The IL-15 cytokine system provides growth and survival signals in Hodgkin lymphoma and enhances the inflammatory phenotype of HRS cells. Leukemia 29:1213–1218
Herbst H, Samol J, Foss HD et al (1997) Modulation of interleukin-6 expression in Hodgkin and Reed-Sternberg cells by Epstein–Barr virus. J Pathol 182:299–306
Cochet O, Frelin C, Peyron J-F, Imbert V (2006) Constitutive activation of STAT proteins in the HDLM-2 and L540 Hodgkin lymphoma-derived cell lines supports cell survival. Cell Signal 18:449–455
Kube D, Holtick U, Vockerodt M et al (2001) STAT3 is constitutively activated in Hodgkin cell lines. Blood 98:762–770
Hinz M, Lemke P, Anagnostopoulos I, Hacker C et al (2002) Nuclear factor kappaB-dependent gene expression profiling of Hodgkin's disease tumor cells, pathogenetic significance, and link to constitutive signal transducer and activator of transcription 5a activity. J Exp Med 196:605–617
Skinnider BF, Elia AJ, Gascoyne RD et al (2002) Signal transducer and activator of transcription 6 is frequently activated in Hodgkin and Reed-Sternberg cells of Hodgkin lymphoma. Blood 99:618–626
Green MR, Rodig S, Juszczynski P et al (2012) Constitutive AP-1 activity and EBV infection induce PD-L1 in Hodgkin lymphomas and posttransplant lymphoproliferative disorders; implications for targeted therapy. Clin Cancer Res 18:1611–1618
Baus D, Pfitzner E (2006) Specific function of STAT3, SOCS1, and SOCS3 in the regulation of proliferation and survival of classical Hodgkin lymphoma cells. Int J Cancer 118:1404–1413
Baus D, Nonnenmacher F, Jankowski S et al (2009) STAT6 and STAT1 are essential antagonistic regulators of cell survival in classical Hodgkin lymphoma cell line. Leukemia 23:1885–1893
Scheeren FA, Diehl SA, Smit LA et al (2008) IL-21 is expressed in Hodgkin lymphoma and activates STAT5: evidence that activated STAT5 is required for Hodgkin lymphomagenesis. Blood 111:4709–4715
Pinto A, Aldinucci D, Gloghini A et al (1996) Human eosinophils express functional CD30 ligand and stimulate proliferation of a Hodgkin’s disease cell line. Blood 88:3299–3305
Molin D, Edstrom A, Glimelius I et al (2002) Mast cell infiltration correlates with poor prognosis in Hodgkin’s lymphoma. Br J Haematol 119:122–124
Grüss HJ, Ulrich D, Braddy S et al (1995) Recombinant CD30 ligand and CD40 ligand share common biological activities on Hodgkin and Reed-Sternberg cells. Eur J Immunol 25:2083–2089
Carbone A, Gloghini A, Gattei V et al (1995) Expression of functional CD40 antigen on Reed-Sternberg cells and Hodgkin’s disease cell lines. Blood 85:780–789
Renné C, Willenbrock K, Küppers R et al (2005) Autocrine- and paracrine-activated receptor tyrosine kinases in classic Hodgkin lymphoma. Blood 105:4051–4059
Cader FZ, Vockerodt M, Bose S et al (2013) The EBV oncogene LMP1 protects lymphoma cells from cell death through the collagen-mediated activation of DDR1. Blood 122:4237–4245
Renné C, Minner S, Küppers R et al (2008) Autocrine NGFβ/TRKA signaling is an important survival factor for Hodgkin lymphoma derived cell lines. Leukemia Res 32:163–167
Xu C, Plattel W, van den Berg A et al (2012) Expression of the c-met oncogene by tumor cells predicts a favorable outcome in classical Hodgkin’s lymphoma. Heamatologica 97:572–578
Liang Z, Diepstra A, Xu C et al (2014) Insulin-like growth factor 1 receptor is a prognostic factor in classical Hodgkin lymphoma. PLOSone 9:e87474
Eppler E, Janas E, Link K et al (2015) Insulin-like growth factor I is expressed in classical and nodular lymphocyte-predominant Hodgkin’s lymphoma tumour and microenvironmental cells. Cell Tissue Res 359:841–851
Renné C, Hinsch N, Willenbrock K et al (2007) The aberrant coexpression of several receptor tyrosine kinases is largely restricted to EBV-negative cases of classical Hodgkin’s lymphoma. Int J Cancer 120:2504–2509
Schwarzer R, Dörken B, Jundt F (2012) Notch is an essential upstream regulator of NF-κB and is relevant for the survival of Hodgkin and Reed-Sternberg cells. Leukemia 26:806–813
Jundt F, Anagnostopoulos I, Förster R et al (2002) Activated Notch1 signaling promotes tumor cell proliferation and survival in Hodgkin and anaplastic large cell lymphoma. Blood 99:3398–3403
Peh SC, Kim LH, Poppema S (2001) TARC, a CC chemokine, is frequently expressed in classic Hodgkin lymphoma but not in NLP Hodgkin lymphoma, T-cell-rich B-cell lymphoma, and most cases of anaplastic large cell lymphoma. Am J Surg Pathol 25:925–929
Van den Berg A, Visser L, Poppema S (1999) High expression of the CC chemokine TARC in Reed-Sternberg cells. A possible explanation for the characteristic T-cell infiltrate in Hodgkin’s lymphoma. Am J Pathol 154:1685–1691
Niens M, Visser L, Nolte IM et al (2008) Serum chemokine levels in Hodgkin lymphoma patients: highly increased levels of CCL17 and CCL22. Br J Haematol 140:527–536
Weihrauch MR, Manzke O, Beyer M et al (2005) Elevated levels of CC thymus and activation-related chemokine (TARC) in primary Hodgkin’s disease: potential for a prognostic factor. Cancer Res 65:5516–5519
Plattel WJ, van den Berg A, Visser L et al (2012) Plasma thymus and activation-regulated chemokine as an early response marker in classical Hodgkin’s lymphoma. Haematologica 97:410–415
Sauer M, Plütschow A, Jachimowicz RD et al (2013) Baseline serum TARC levels predict therapy outcome in patients with Hodgkin lymphoma. Am J Hematol 88:113–115
Plattel WJ, Alsada ZN, van Imhoff GW, Diepstra A, van den Berg A, Visser L (2016) Biomarkers for evaluation of treatment response in classical Hodgkin lymphoma: comparison of sGalectin-1, sCD163 and sCD30 with TARC. Br J Haematol 175(5):868–875
Ohshima K, Tutiya T, Yamaguchi T et al (2002) Infiltration of Th1 and Th2 lymphocytes around Hodgkin and Reed-Sternberg (H&RS) cells in Hodgkin disease: relation with expression of CXC and CC chemokines on H&RS cells. Int J Cancer 98:567–572
Ishida T, Ishii T, Inagaki A et al (2006) Specific recruitment of CC chemokine receptor 4-positive regulatory T cells in Hodgkin lymphoma fosters immune privilege. Cancer Res 66:5716–5722
Andrew DP, Chang MS, McNinch J et al (1998) STPC-1 (MDC) CC chemokine acts specifically on chronically activated Th2 lymphocytes and is produced by monocytes on stimulation with Th2 cytokines IL-4 and IL-13. J Immunol 16:5027–5038
Hedvat CV, Jaffe ES, Qin J et al (2001) Macrophage-derived chemokine expression in classical Hodgkin’s lymphoma: application of tissue microarrays. Mod Pathol 14:1270–1276
Imai T, Chantry D, Raport CJ et al (1998) Macrophage-derived chemokine is a functional ligand for the CC chemokine receptor 4. J Biol Chem 273:1764–1768
Maggio E, van den Berg A, Visser L et al (2002) Common and differential chemokine expression patterns in RS cells of NLP, EBV positive and negative classical Hodgkin lymphomas. Int J Cancer 99:665–672
Lamprecht B, Kreher S, Anagnostopoulos I et al (2008) Aberrant expression of the Th2 cytokine IL-21 in Hodgkin lymphoma cells regulates STAT3 signaling and attracts Treg cells via regulation of MIP-3alpha. Blood 112:3339–3347
Morales O, Mrizak D, François V et al (2014) Epstein-Barr virus infection induces an increase of T regulatory type 1 cells in Hodgkin lymphoma patients. Br J Haematol 166:875–890
Fhu CW, Graham AM, Yap CT et al (2014) Reed-Sternberg cell-derived lymphotoxin-alpha activates endothelial cells to enhance T-cell recruitment in classical Hodgkin lymphoma. Blood 124:2973–2982
Foss H-D, Herbst H, Oelmann E et al (1993) Lymphotoxin, tumour necrosis factor and interleukin-6 gene transcripts are present in Hodgkin and Reed-Sternberg cells of most Hodgkin’s disease cases. Br J Haematol 84:627–635
Tanijiri T, Shimizu T, Uehira K et al (2007) Hodgkin’s Reed-Sternberg cell line (KM-H2) promotes a bidirectional differentiation of CD4+CD25+Foxp3+ T cells and CD4+ cytotoxic T lymphocytes from CD4+ naive T cells. J Leukoc Biol 82:576–584
Ferraris AM, Racchi O, Rapezzi D et al (1997) Familial Hodgkin’s disease: a disease of young adulthood? Ann Hematol 74:131–134
Glaser SL, Hsu JL (2002) Hodgkin’s disease in Asians: incidence patterns and risk factors in population-based data. Leuk Res 26:261–269
Mack TM, Cozen W, Shibata DK et al (1995) Concordance for Hodgkin’s disease in identical twins suggesting genetic susceptibility to the young-adult form of the disease. N Engl J Med 332:413–418
Diepstra A, Niens M, Vellenga E et al (2005) Association with HLA class I in Epstein–Barr-virus-positive and with HLA class III in Epstein-Barr-virus-negative Hodgkin’s lymphoma. Lancet 365:2216–2224
Niens M, van den Berg A, Diepstra A et al (2006) The human leukocyte antigen class I region is associated with EBV-positive Hodgkin’s lymphoma: HLA-A and HLA complex group 9 are putative candidate genes. Cancer Epidemiol Biomark Prev 15:2280–2284
Enciso-Mora V, Broderick PMY et al (2010) A genome-wide association study of Hodgkin’s lymphoma identifies new susceptibility loci at 2p16.1 (REL), 8q24.21 and 10p14 (GATA3). Nat Genet 42:1126–1130
Urayama KY, Jarrett RF, Hjalgrim H et al (2012) Genome-wide association study of classical Hodgkin lymphoma and Epstein-Barr virus status-defined subgroups. J Natl Cancer Inst 104:240–253
Cozen W, Li D, Best T et al (2012) A genome-wide meta-analysis of nodular sclerosing Hodgkin lymphoma identifies risk loci at 6p21.32. Blood 119:469–475
Sud A, Thomsen H, Orlando G et al (2018) Genome-wide association study implicates immune dysfunction in the development of Hodgkin lymphoma. Blood 132:1212–1218
Levitskaya J, Coram M, Levitsky V et al (1995) Inhibition of antigen processing by the internal repeat region of the Epstein–Barr virus nuclear antigen-1. Nature 375:685–688
Meij P, Leen A, Rickinson AB et al (2002) Identification and prevalence of CD8(+) T-cell responses directed against Epstein–Barr virus-encoded latent membrane protein 1 and latent membrane protein 2. Int J Cancer 99:93–99
Bollard CM, Aguilar L, Straathof KC et al (2004) Cytotoxic T lymphocyte therapy for Epstein-Barr virus+ Hodgkin’s disease. J Exp Med 200:1623–1633
Lucas KG, Salzman D, Garcia A et al (2004) Adoptive immunotherapy with allogeneic Epstein–Barr virus (EBV)-specific cytotoxic T-lymphocytes for recurrent EBV-positive Hodgkin disease. Cancer 100:1892–1901
Bollard CM, Gottschalk S, Torrano V et al (2014) Sustained complete responses in patients with lymphoma receiving autologous cytotoxic T lymphocytes targeting Epstein-Barr virus latent membrane proteins. J Clin Oncol 32:798–808
Niens M, Jarrett RF, Hepkema B et al (2007) HLA-A∗02 is associated with a reduced risk and HLA-A∗01 with an increased risk of developing EBV+ Hodgkin lymphoma. Blood 110:3310–3315
Jones K, Wockner L, Brennan RM et al (2016) The impact of HLA class I and EBV latency-II antigen-specific CD8+ T cells on the pathogenesis of EBV+ Hodgkin lymphoma. Clin Exp Immunol 183:206–220
Diepstra A, van Imhoff GW, Karim-Kos HE et al (2007) HLA class II expression by Hodgkin Reed-Sternberg cells is an independent prognostic factor in classical Hodgkin’s lymphoma. J Clin Oncol 25:3101–3108
Nijland M, Veenstra RN, Visser L et al (2017) HLA dependent immune escape mechanisms in B-cell lymphomas: implications for immune checkpoint inhibitor therapy? Oncoimmunology e1295202:6
Reichel J, Chadburn A, Rubinstein PG et al (2015) Flow sorting and exome sequencing reveal the oncogenome of primary Hodgkin and Reed-Sternberg cells. Blood 125:1061–1072
Diepstra A, Poppema S, Boot M et al (2008) HLA-G protein expression as a potential immune escape mechanism in classical Hodgkin’s lymphoma. Tissue Antigens 71:219–226
Zocchi MR, Catellani S, Canevali P et al (2012) High ERp5/ADAM10 expression in lymph node microenvironment and impaired NKG2D ligands recognition in Hodgkin lymphomas. Blood 119:1479–1489
Steidl C, Shah SP, Woolcock BW et al (2011) MHC class II transactivator CIITA is a recurrent gene fusion partner in lymphoid cancers. Nature 471:377–383
Walunas TL, Lenschow DJ, Bakker CY et al (1994) CTLA-4 can function as a negative regulator of T cell activation. Immunity 1:405–413
Alegre M, Frauwirth KA (2001) Thompson CB. T cell regulation by CD28 and CTLA-4. Nat Rev Immunol 1:220–228
Bashey A, Medina B, Corringham S et al (2009) CTLA-4 blockade with ipilimumab to treat relapse of malignancy after allogeneic hematopoietic cell transplantation. Blood 113:1581–1588
Davids MS, Kim HT, Bachireddy P et al (2016) Ipilimumab for patients with relapse after allogeneic transplantation. N Engl J Med 375:143–153
Yamamoto R, Nishikori M, Kitawaki T et al (2008) PD-1-PD-1 ligand interaction contributes to immunosuppressive microenvironment of Hodgkin lymphoma. Blood 15(111):3220–3224
Vari F, Arpon D, Keane C et al (2018) Immune evasion via PD-1/PD-L1 on NK-cells and monocytes/macrophages is more prominent in Hodgkin lymphoma than DLBCL. Blood 131:1809–1819
Green MR, Monti S, Rodig SJ et al (2010) Integrative analysis reveals selective 9p24.1 amplification, increased PD-1 ligand expression, and further induction via JAK2 in nodular sclerosing Hodgkin lymphoma and primary mediastinal large B-cell. Blood 116:3268–3277
Ansell SM, Lesokhin AM, Borrello I et al (2015) PD-1 blockade with nivolumab in relapsed or refractory Hodgkin’s lymphoma. N Engl J Med 372:311–319
Armand P, Engert A, Younes A et al (2018) Nivolumab for relapsed/refractory classical Hodgkin lymphoma after failure of autologous hematopoietic cell transplantation: extended follow-up of the multicohort single-arm phase II CheckMate 205 trial. J Clin Oncol 36:1428–1439
Younes A, Santoro A, Shipp M et al (2016) Nivolumab for classical Hodgkin’s lymphoma after failure of both autologous stem-cell transplantation and brentuximab vedotin: a multicentre, multicohort, single-arm phase 2 trial. Lancet Oncol 17:1283–1294
Chen R, Zinzani PL, Fanale MA et al (2017) Phase II study of the efficacy and safety of pembrolizumab for relapsed/refractory classic Hodgkin lymphoma. J Clin Oncol 35:2125–2132
Tumeh PC, Harview CL, Yearley JH et al (2014) PD-1 blockade induces responses by inhibiting adaptive immune resistance. Nature 515:568–571
Carey CD, Gusenleitner D, Lipschitz M et al (2017) Topological analysis reveals a PD-L1-associated microenvironmental niche for Reed-Sternberg cells in Hodgkin lymphoma. Blood 130:2420–2430
Roemer MGM, Redd RA, Cader FZ et al (2018) Major histocompatibility complex class II and programmed death ligand 1 expression predict outcome after programmed death blockade in classical Hodgkin lymphoma. J Clin Oncol 36:942–950
Muenst S, Hoeller S, Dirnhofer S et al (2009) Increased programmed death-1+ tumor-infiltrating lymphocytes in classical Hodgkin lymphoma substantiate reduced overall survival. Hum Pathol 40:1715–1722
Goldberg MV, Drake CG (2011) LAG-3 in cancer immunotherapy. Curr Top Microbiol Immunol 344:269–278
Huard B, Prigent P, Tournier M et al (1995) CD4/major histocompatibility complex class II interaction analyzed with CD4− and lymphocyte activation gene-3 (LAG-3)-Ig fusion proteins. Eur J Immunol 25:2718–2721
Gandhi MK, Lambley E, Duraiswamy J et al (2006) Expression of LAG-3 by tumor-infiltrating lymphocytes is coincident with the suppression of latent membrane antigen-specific CD8+ T-cell function in Hodgkin lymphoma patients. Blood 108:2280–2289
Camisaschi C, Casati C, Rini F et al (2010) LAG-3 expression defines a subset of CD4(+)CD25(high)Foxp3(+) regulatory T cells that are expanded at tumor sites. J Immunol 184:6545–6551
Duffield AS, Ascierto ML, Anders RA et al (2017) Th17 immune microenvironment in Epstein-Barr virus-negative Hodgkin lymphoma: implications for immunotherapy. Blood Adv 1:1324–1334
Wein F, Weniger MA, Höing B et al (2017) Complex immune evasion strategies in classical Hodgkin lymphoma. Cancer Immunol Res 5:1122–1132
Dukers DF, Jaspars LH, Vos W et al (2000) Quantitative immunohistochemical analysis of cytokine profiles in Epstein-Barr virus-positive and -negative cases of Hodgkin’s disease. J Pathol 190:143–149
Herbst H, Foss HD, Samol J et al (1996) Frequent expression of interleukin-10 by Epstein–Barr virus-harboring tumor cells of Hodgkin’s disease. Blood 87:2918–2929
Newcom SR, Kadin ME, Ansari AA et al (1988) L-428 nodular sclerosing Hodgkin’s cell secretes a unique transforming growth factor-beta active at physiologic pH. J Clin Invest 82:1915–1921
Newcom SR, Tagra KK (1992) High molecular weight transforming growth factor b is excreted in the urine in active nodular sclerosing Hodgkin’s disease. Cancer Res 52:6768–6773
Marshall NA, Christie LE, Munro LR et al (2004) Immunosuppressive regulatory T cells are abundant in the reactive lymphocytes of Hodgkin lymphoma. Blood 103:1755–1762
Juszczynski P, Ouyang J, Monti S et al (2007) The AP1-dependent secretion of galectin-1 by Reed-Sternberg cells fosters immune privilege in classical Hodgkin lymphoma. Proc Natl Acad Sci U S A 104:13134–13139
Gandhi MK, Moll G, Smith C et al (2015) Brief report Galectin-1 mediated suppression of Epstein-Barr virus—specific T-cell immunity in classic Hodgkin lymphoma. Blood 110:1326–1330
Maggio EM, van den Berg A, de Jong D et al (2003) Low frequency of FAS mutations in Reed-Sternberg cells of Hodgkin’s lymphoma. Am J Pathol 162:29–35
Choe J-Y, Yun JY, Jeon YK et al (2014) Indoleamine 2,3-dioxygenase (IDO) is frequently expressed in stromal cells of Hodgkin lymphoma and is associated with adverse clinical features: a retrospective cohort study. BMC Cancer 14:335
Soliman H, Mediavilla-Varela M, Antonia S (2010) Indoleamine 2,3-dioxygenase. Is i tan immune suppressor? Cancer J 16:354–359
Schwaller J, Tobler A, Niklaus G et al (1995) Interleukin-12 expression in human lymphomas and nonneoplastic lymphoid disorders. Blood 85:2182–2188
Niedobitek G, Pazolt D, Teichmann M et al (2002) Frequent expression of the Epstein-Barr virus (EBV)-induced gene, EBI3, an IL-12 p40-related cytokine, in Hodgkin and Reed-Sternberg cells. J Pathol 198:310–316
Steidl C, Lee T, Shah SP et al (2010) Tumor-associated macrophages and survival in classical Hodgkin’s lymphoma. N Engl J Med 362:875–885
Guo B, Cen H, Tan X, Ke Q (2016) Meta-analysis of the prognostic and clinical value of tumor-associated macrophages in adult classical Hodgkin lymphoma. BMC Med 14:159
Barros MHM, Segges P, Vera-Lozada G, Hassan R, Niedobitek G (2015) Macrophage polarization reflects T cell composition of tumor microenvironment in pediatric classical Hodgkin lymphoma and has impact on survival. PLoS One 10:1–19
Hollander P, Rostgaard K, Smedby KE et al (2017) An anergic immune signature in the tumor microenvironment of classical Hodgkin lymphoma is associated with inferior outcome. Eur J Haematol 100:88–97
Andersen MD, Kamper P, Nielsen PS et al (2016) Tumour-associated mast cells in classical Hodgkin’s lymphoma: correlation with histological subtype, other tumour-infiltrating inflammatory cell subsets and outcome. Eur J Haematol 96:252–259
Alvaro T, Lejeune M, Salvado MT et al (2005) Outcome in Hodgkin’s lymphoma can be predicted from the presence of accompanying cytotoxic and regulatory T cells. Clin Cancer Res 11:1467–1473
Kelley TW, Pohlman B, Elson P et al (2007) The ratio of Foxp3+ regulatory T cells to Granzyme B+ cytotoxic T/NK cells predicts prognosis in classical Hodgkin lymphoma and is independent of bcl-2 and MAL expression. Am J Clin Pathol 128:958–965
Oudejans JJ, Jiwa NM, Kummer JA et al (1997) Activated cytotoxic T cells as prognostic marker in Hodgkin’s disease. Blood 89:1376–1382
Alonso-Álvarez S, Vidriales MB, Caballero MD et al (2017) The number of tumor infiltrating T-cell subsets in lymph nodes from patients with Hodgkin lymphoma is associated with the outcome after first line ABVD therapy. Leuk Lymphoma 58:1144–1152
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Visser, L., Veldman, J., Poppema, S., van den Berg, A., Diepstra, A. (2020). Microenvironment, Cross-Talk, and Immune Escape Mechanisms. In: Engert, A., Younes, A. (eds) Hodgkin Lymphoma. Hematologic Malignancies. Springer, Cham. https://doi.org/10.1007/978-3-030-32482-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-32482-7_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32481-0
Online ISBN: 978-3-030-32482-7
eBook Packages: MedicineMedicine (R0)