Skip to main content
Therapeutic Advances in Hematology logoLink to Therapeutic Advances in Hematology
. 2023 Jan 12;14:20406207221149245. doi: 10.1177/20406207221149245

Genetic lesions and targeted therapy in Hodgkin lymphoma

Zhe Li 1, Wei Mu 2, Min Xiao 3,
PMCID: PMC9841868  PMID: 36654739

Abstract

Hodgkin lymphoma is a special type of lymphoma in which tumor cells frequently undergo multiple genetic lesions that are associated with accompanying pathway abnormalities. These pathway abnormalities are dominated by active signaling pathways, such as the JAK-STAT (Janus kinase–signal transducer and activator of transcription) pathway and the NFκB (nuclear factor kappa-B) pathway, which usually result in hyperactive survival signaling. Targeted therapies often play an important role in hematologic malignancies, such as CAR-T therapy (chimeric antigen receptor T-cell immunotherapy) targeting CD19 and CD22 in diffuse large B-cell lymphoma, while in Hodgkin lymphoma, the main targets of targeted therapies are CD30 molecules and PD1 molecules. Drugs targeting other molecules are also under investigation. This review summarizes the actionable genetic lesions, current treatment options, clinical trials for Hodgkin lymphoma and the potential value of those genetic lesions in clinical applications.

Keywords: CAR-T therapy, Hodgkin lymphoma, immune evasion, immunotherapy, JAK-STAT, molecular mechanisms, NFκB, primary immunodeficiency, targeted therapies

Introduction

Hodgkin lymphoma (HL) is a relatively rare malignant disease of the hematological system. HL can be divided into classic Hodgkin lymphoma (cHL) and nodular lymphocyte-predominant HL (NLPHL). cHL can also be further subdivided into four subtypes, namely, nodular sclerosis HL (NSHL), mixed cellularity HL (MCHL), lymphocyte-rich HL (LRHL), and lymphocyte-depleted HL (LDHL).1 Because NLPHL accounts for only about 10% of HL, this review will focus mainly on cHL.

The main tumor cells of cHL are HRS cells (Hodgkin Reed-Sternberg), which are currently thought to originate from the germinal center, possess gene expression similar to that of CD30+ extrafollicular B-cells, and lack markers, including CD19 and CD79α. Although such cells will be quickly cleared under immune system surveillance, some of them not only survive the immune system but also transform into HRS cells through mechanisms such as constitutive activation of NFκB, JAK-STAT, and other signaling pathways.2

Research has identified genetic lesions and related pathways for HL (Table 1), as technologies such as next-generation sequencing (NGS) have matured and become widespread, an increasing number of disease-related mutant loci are being identified. More and more patients are choosing to include genetic sequencing as part of their general screening program. Therefore, here, we summarize the genetic lesions, related pathways, and targeted therapy for HL, and by reviewing previous studies on the functions of these genes, we generated hypotheses regarding the mechanisms by which these genes increase the risk of HL and provide directions for future therapy. The genetic lesions related to HL include somatic mutations, germline mutations, and structural variations. The included literature was obtained from PubMed.

Table 1.

Frequencies of gene mutations and related SVs involved in different pathways in HL.

Subgroup Gene
Primary immunodeficiency ITK3,4 (8/21); MAGT15 (7/37); RASGRP14,6 (2/9); CD2779 (9/33); CD706,10 (9/21); TNFRSF911,12 (2/9); STK4,13,14 (2/29); CTLA46 (3/21)
JAK-STAT SOCS-115,16 (20/34); SOCS-617 (16%); PTPN118,19 (2/34); PTPN220 (3%)a; STAT621,22 (11/34); STAT321 (2/34); STAT5B21 (1/34); JAK123,24 (2/34); JAK217,25 (11/33); GNA1321 (8/34); ITPKB21 (4/25); XPO126,27 (6/34)
NFκB TNFAIP32830 (42/90); NFKBIA3135 (11/59); CYLD36,37 (18/42); NFKBIE31 (1/6); TRAF338 (3/20); REL3943 (56/138); MAP3K1438,41 (18/69); TNFRSF1441,44 (15/72); BCL34547, b
Immune evasion PDL148, c; PDL248, c; FAS4951 (4/16); CIITA52,53 (2/23); B2M54 (39%); PRF155 (1/6); CD5856,57, a
DNA repair ATR58 (3/7)
Clonal hematopoiesis DNMT3A59 (3/40); KRAS59 (3/40); TET2 (3/40)59,60
Cell cycle KLHDC8B61, d; TP5362,45 (3/34); NPAT63 (16/177)
Cell adhesion CDH1,64, e
Mirna related DICER1,65, d
Chromosome instability POT1 (5/124)
Other PTPN11,66, f; ATM63,46 (1/8); PRSS1,47, a; PRSS2,47, a; PRSS3,47, a; ZHX2,67, a; FOXC1a

DNA, deoxyribonucleic acid; JAK-STAT, janus kinase–signal transducer and activator of transcription; NFκB, nuclear factor kappa-B.

a

In HL cell lines.

b

8/32 (gains), 4/107 (translocations).

c

61/108 (copy gain), 39/108 (amplification).

d

In a family with multiple cases of cHL.

e

12/15 (9q21 loss); 9/15 (16q23 loss).

f

Case report.

Genetic lesions and related pathways

There are many pathways related to somatic mutations and structural variations, including the JAK-STAT pathway, NFκB pathway, immune evasion, cell cycle, and DNA repair. However, germline genetic abnormalities also play an important role in HL. In a study of 153,115 patients with primary malignant hematologic disease in the Swedish Family-Cancer Database, researchers measured the familial relative risks (FRRs) of malignant hematologic disease by calculating the standardized incident ratios (SIRs) of a total of 391,131 first-degree relatives of these patients, ultimately finding that familial risk exists.68 Similar conclusions have been drawn in several other analogous studies.6971 In a cohort of 13,922 HL patients with 57,475 first-degree relatives in five European countries, the cumulative risk (CR) of HL in first-degree relatives of a patient with HL was 0.6%,72 showing a three-fold increased risk over the general population [standardized incidence ratio: 3.3; 95% confidence interval (CI): 2.8–3.9]. Besides, the familial risks were higher in siblings (6.0-fold) than those in parents and/or children (2.1-fold). Some subtypes showed significantly high familial risks, especially in lymphocyte-rich (81-fold; 95% CI, 30- to 177-fold) and nodular sclerosis patients (4.6-fold; 95% CI: 2.9- to 7.0-fold). Even so, further research is still needed to better understand the potential mechanism of the familial aggregation of HL as no major high-penetrant gene has yet been identified till now. These studies are sufficient to prove that there are indeed familial predisposition and genetic risk factors for HL, representing the impact of germline genetic lesions.

Primary immunodeficiency-related genetic lesions

Epstein–Barr virus (EBV) mainly infects human B cells. It is considered the pathogen of infectious mononucleosis (IM) and is closely associated with oral hairy leukoplakia, Burkitt’s lymphoma, and so on. EBV invades the body and further infects primitive B-cells in the tonsils, wherein EBV can activate these cells to differentiate into quiescent memory B-cells (latent state). Under certain circumstances, these cells will transform into an activated state to differentiate and proliferate massively, releasing EBV to infect new B-cells, which may be associated with HL.73 In this process, the main immune response of the organism to EBV + B-cells is performed by cytotoxic T-lymphocytes (CTLs),73,74 whereas the spread of EBV is mainly prevented by cells such as natural killer NK, γδ T, and CD8 T-cells. Thus, the function of immune cells is particularly important for the development of EBV-associated HL.

Previous studies have shown that elevated levels of anti-EBV antigen antibodies can be detected in patients with HL and that such elevated antibody levels occur before the development of HL.75 EBV is associated with approximately 40% of cases in developed countries, and previous studies showed MCHL is more likely to be EBV-associated.76 Furthermore, adolescent and older adult patients are particularly likely to be EBV+.76 However, young adults with HL in developed countries are usually EBV negative. Taken together, the association of EBV and HL varies with age, subtype, and region of the world.77

A large number of studies have reported genetic susceptibility genes associated with EBV + HL, and their pathogenesis can be broadly categorized into three stages: (1) genetic defects lead to immunodeficiency, (2) immunodeficiency causes EBV susceptibility, and (3) EBV infection triggers HL. These genes and their possible mechanisms for triggering EBV + HL will be described next, with a focus on the stage in which these genetic susceptibility genes lead to immunodeficiency (Figures 13).

Figure 1.

Figure 1.

Relationship between EBV, genetic lesions, and HL.

The genes in the yellow box are the ones with abnormalities seen in HL.

EBV, Epstein–Barr virus; NKG2D, natural-killer group 2, member D; MICA, MHC class I chain-related molecule A; MHC, major histocompatibility complex; TCR, T-cell receptor.

Figure 2.

Figure 2.

The activated pathway in T-cells after the recognition of EBV-infected B-cells.

The transcription factors YAP, TAZ, and NFκB promote cell growth, proliferation, and differentiation. The gray boxes refer to molecules involved in the pathway.

MHC, major histocompatibility complex; TCR, T-cell receptor; NKG2D, natural-killer group 2, member D; MAGT1, magnesium transporter 1.

Figure 3.

Figure 3.

The activated pathway in NK cells after the recognition of EBV-infected B-cells.

The transcription factors YAP, TAZ, and NFκB promote cell growth, proliferation, and differentiation. The gray boxes refer to molecules involved in the pathway.

NKG2D, natural-killer group 2, member D; MAGT1, magnesium transporter 1.

The process of killing EBV + B-cells by CTLs is the main pathway by which immune system responds to EBV infection, a process that involves the activation, expansion, and killing of CD8 + T-cells. The proliferation of CTLs can be mediated by molecules such as TCR and CD27-CD70, in which pathways such as the MAPK pathway are involved and crossover occurs, ultimately initiating downstream signals and activating the target gene. It has been suggested that defective T-cell expansion is probably the primary explanation for a predisposition to severe/chronic EBV infection.74

ITK is also associated with EBV + HL,3,4 and its encoded product is an interleukin (IL)-2-induced tyrosine kinase belonging to the TEC/BTK family, which is expressed exclusively in T-lymphocytes and NK cells. ITK can participate in T-cell receptor (TCR) signaling by phosphorylating and activating PLC-γ1, and the activated PLC cleaves PIP2 to generate two second messengers, namely, IP3 and DG. These two second messengers lead to processes such as the opening of calcium channels, activation of ERK (part of the MAPK pathway), the release of cytokines, and the reorganization of actin.78 In mice, it has been shown that the absence of ITK affects CTL expansion and delays the expression of cytolytic effectors during activation.79 Thus, ITK deficiency can lead to defective expansion and maturation of EBV-specific CTLs by interfering with TCR activation signaling.6

The MAPK pathway plays an important role in the amplification of CTLs and NK cells. RASGRP1 has been reported to be one of the susceptibility genes of HL4,6 which is highly expressed in T-cells and NK cells, and encodes a small G protein RAS acting in the downstream RAF-MEK-ERK kinase cascade (also known as the MAPK pathway). In T-lymphocytes and NK cells, RASGRP1 is a major activator of the MAPK pathway, and RASGRP1-deficient cells show defective MAPK pathway activation accompanied by downregulation of CTPS1 expression,74 which sustains the proliferation of activated lymphocytes by the MAPK pathway. CTPS1 encodes CTP synthase 1, and CTP is a precursor required for the metabolism of DNA, RNA, and phospholipids involved in DNA synthesis in lymphocytes.80

CD27 encodes a protein belonging to the TNF receptor superfamily (TNFSFR), also known as TNFSFR7. CD27 binds to CD70 (also called TNFSF7), a ligand of the TNF superfamily, and is a co-stimulatory molecule for T-cell activation. The expression of CD70 is upregulated on EBV-infected B-cells, and CD70 drives EBV-specific CTL proliferation via TCR-CD27-dependent co-stimulation. Defects in CD27/CD70 are associated with EBV + HL,4 with reports showing EBV + HL in four of six CD70-deficient patients79 and 3 of 18 CD27-deficient patients.6 It was found that the expansion of EBV-specific cytolytic T-cells depends on CD70 expressed on the surface of EBV-infected B-cells via the co-engagement of TCR (actually CD3) and CD27 on T-cells.7 Although the exact mechanism by which CD27-CD70 mediates CD8 + T-cell proliferation remains unclear, it has been suggested that CD27 can function as a co-stimulatory molecule of the TCR-dependent lymphocyte activation pathway,7,81 to some extent reinforcing the importance of CD27 and CD70 for EBV-specific T-cells. When CD70 is not available on EBV-infected B-cells or CD27 is not available on T-cells, the proliferation of EBV-specific T-cells is blocked, resulting in a reduced cytotoxic response to EBV-infected B-cells.82

MAGT1 is a kind of magnesium ion transporter protein gene, and its loss-of-function mutation can lead to XMEN (X-linked immunodeficiency with magnesium defect, EBV infection, and neoplasia).6 The function of MAGT1 mainly involves two aspects: driving magnesium ions into the cell and N-linked glycosylation (NLG). TCR activation was found to promote magnesium entry into cells as well as calcium release from the ER, and loss of MAGT1 impaired PLCc1 activation. However, the TCR-stimulated influx of both magnesium and calcium ions were reduced in normal human T-cells after the knockdown of MAGT1. The influx of both calcium and magnesium was restored in patients.83 Recent studies have revealed that MAGT1, a subunit of the OST (oligosaccharyl transferase) complex,5 is primarily localized to the ER and is a facilitator of NLG. MAGT1 deficiency negatively affects processes such as N-glycosylation. The reduced level of glycosylation of the EBV killing-related activating receptor NKG2D in such patients leads to its degradation and decreased expression in NK and T-cells. Decreased level of glycosylation and expression of CD28, CD70 and other genes were reported,5 which affected the expansion of CTL activation and the killing of EBV + B-cells by CTLs and NK cells.

In addition, TNFRSF9 deficiency (CD137/4-1BB) affects the function of CTLs and NK cells, which may be related to HL [2/8 in reported IEI (inborn errors of immunity) patients].11,12 CD137 can be induced by CD137L (mainly expressed on dendritic cells, macrophages, activated T-cells, and B-cells) after the activation of CTLs and NK cells. Previous studies have shown that the CD137L-CD137 pathway results in the release of perforin and cytokines [such as interferon (IFN)] and that CD137-deficient patients often show a deficiency in this area.4

Defects in CTLA4 can lead to CTLA4 haploinsufficiency (HI), an immune dysregulation disorder characterized by overactive T-lymphocytes and a generalized lymphoproliferative and autoimmune disorder.6 Patients with CTLA4 haploinsufficiency have a dysregulated T-cell response to EBV infection secondary to excessive T-cell activation and apoptosis, senescence, and shedding.

JAK-STAT pathway and related genetic lesions

The JAK-STAT pathway plays an essential role in the occurrence of HL20 (Figure 4). The persistent activation of the JAK-STAT pathway is also a feature of HL. Activation of these receptors activates receptor-associated JAK, which acts as a kinase to phosphorylate tyrosines in specific regions of the receptor and recruit proteins, including STAT. This pathological process can lead to hyperphosphorylation of a variety of STAT proteins, which induces carcinogenesis by transcriptionally regulating the activation of downstream targets, such as the proto-oncogene MYC, and abnormalities of this channel in cancer also influence the effect on tumor cells of cytokines secreted in the microenvironment.84,85

Figure 4.

Figure 4.

Graphical representation of the pathways in HL where genetic abnormalities frequently occur.

The gray boxes refer to molecules involved in the pathway.

NPC, nuclear pore complex; PD1, programmed cell death protein 1; PDL1, programmed cell death 1 ligand 1; MHC, major histocompatibility complex; TCR, T-cell receptor.

In HRS cells, cytokine receptors on the cell surface undergo conformational changes and bind to JAKs when activated by specific cytokines, causing the phosphorylation of JAKs. Phosphorylated JAKs continue to activate downstream molecules, such as STAT and PI3K, and regulate the expression of various survival molecules described above through the JAK-STAT, PI3K-ATK, Ras-MAPK, and other pathways.20

Indeed, although constitutive activation of the JAK-STAT pathway is common in HL, mutations in the JAK gene are not. A JAK1 activating mutation that promotes constitutive activation of the JAK-STAT pathway has been reported in HL cell lines, but the mutation is relatively rare in patients. In addition, researchers have identified a gain-of-function mutation, namely, JAK2 V617 F, which maintains a sustained activation state and transmits signals to downstream signaling molecules even though no cytokine binds to the corresponding receptor.23,24 In another study involving JAK2 and HL, the investigators also identified a genetic abnormality caused by a translocation: t (4;9) (q21; p24), leading to the production of the fusion protein SEC31A-JAK2. SEC31A-JAK2 is present in approximately 3% of HL patients and promotes constitutive activation of the JAK-STAT pathway.25 Notably, both of these JAK2 gene abnormalities are sensitive to JAK2 inhibitors, suggesting that targeted therapy with JAK2 antagonists may be effective in these patients. In a study involving 23 patients with new-onset HL, HRS cells were isolated from biopsied tumor tissues, and whole-exome sequencing was performed. The results revealed the presence of 9p/9p24.1 copy gain in approximately 13% of the cases, suggesting an association of JAK2 with HL, given that JAK2 was localized to 9p24.1.17 Mutations in STATs, a downstream molecule of JAKs, are also more common in HL patients,21 such as missense mutations occurring in the DNA binding domain of STAT6 (11/34), the activating mutation D661Y in the SH2 domain of STAT3,22 and the activating mutation T628S in the SH2 domain of STAT5B.

Both SOCS and PTPN are negative regulatory molecules of the JAK-STAT pathway and inhibit the JAK-STAT pathway by dephosphorylating JAKs. Studies have found a possible association between genetic abnormalities in these genes and HL.15,16,86,87 In a study that included 105 cHL patients, researchers found that 61% of patients (64/105) had mutations in the SOCS1 gene and that patients with these mutations often had a worse prognosis than HL patients without SOCS1 mutations (P = 0.03), as judged by overall survival. In another study, PTPN1 mutations were found in 20% of HL patients (6/30) versus 67% of HL cell lines (6/9), and functional studies of mutant cells revealed enhanced JAK-STAT pathway activity and increased phosphorylation of some molecules, including JAK, in these cells, suggesting a possible association between PTPN1 gene mutations and HL pathogenesis. Similarly, abnormalities in the genes corresponding to GNA13 and ITPKB, which are regulatory molecules of the JAK-PI3 K-AKT pathway, were also found to be associated with HL.21 In addition, the expression product of the XPO1 gene can assist molecules (transcription factors, etc.) in entering the nucleus through the nuclear pore complex, and through this mechanism, XPO1 is involved in multiple pathways regulating gene expression, including JAK-STAT and NFκB. A study found that the XPO1 E571 K mutation was present in approximately 24.2% of HL patients and that patients carrying this mutation had shorter progression-free survival (p = 0.0601), suggesting its potential value in the diagnosis and prognosis of HL.26,27

NFκB pathway and related genetic lesions

Persistent activation of the NFκB transcription factor is one of the hallmarks of HL and activated NFκB can be detected in almost all malignant HL cells. Unlike the NFκB pathway of T-cells mentioned previously, this is the NFκB pathway of HRS cells, whose downstream actions include the regulation of anti-apoptotic factors, the expression of proinflammatory CK, and B-cell reprogramming2 (Figure 4).

Generally, the NFκB pathway can be divided into two categories: the classical pathway and the nonclassical pathway. In the classical pathway, CD40 and CD30 activate the IKK complex via TRAFs, and the activated IKK complex promotes the degradation of the NFκB factor (p50/p65) inhibitors IκBα and IκBκ. The released NFκB enters the nucleus through the nuclear pore complex and regulates gene expression. Similarly, CD40 activated by CD40L in the nonclassical pathway activates the IKK complex through MAP3K14, and the activated IKK complex promotes the conversion of p100 to p52, which in turn promotes the formation of the NFκB factor (p52/RelB).88,89

In the classical NFκB pathway, the genetic abnormalities reported thus far focus on several positive or negative regulators. The gene expression products of TNFAIP3 and CYLD are negative regulatory molecules. The coding product of TNFAIP3, A20, can degrade the classical NFκB pathway through the LUBAC (linear ubiquitin chain assembly complex)-A20 axis by ubiquitination.90 Mutations in TNFAIP3 are more common in EBV-negative HL, with several studies finding TNFAIP3 mutations in approximately 40% of cHL patients.2830 Follow-up functional assays have revealed the diminished function of the LUBAC-A20 axis after mutation. CYLD, similar to TNFAIP3, can also act as a tumor suppressor by encoding a deubiquitinating enzyme that inhibits the NFκB pathway, but in known studies, CYLD mutations (mostly deletions) are mainly present in HRS cell lines36,37 and are less common in HL patients. NFKBI encodes NFκB inhibitors, including IkBα and IkBε. NFκB inhibitors inhibit the NFκB pathway by binding to NFκB and inhibiting its function. Common NFKBI genetic abnormalities include SNVs and deletions,3135 leading to a decrease in its function and promoting the persistent activation of the NFκB pathway. The coding product of REL is one of the transcription factors of the classical NFκB pathway, and the most common REL abnormality in HL patients is amplification (56/138), so there is no doubt that genetic abnormalities of REL are potentially associated with the persistent activation of the NFκB pathway.3943 In addition, there is an important gene (BCL3) in the classical NFκB pathway that frequently undergoes CNV or translocation.39,91,92 The BCL3 protein promotes NFκB activity by binding to the p50 homodimer and increasing its activity.

In the nonclassical NFκB pathway, genetic lesions of the MAP3K14 and TRAF3 genes are relatively common. As mentioned above, MAP3K14 (NFκB-inducing kinase, NIK) activates the IKK complex after receiving CD40 signals and promotes the formation of the NFκB factor (p52/RelB). In contrast, TRAF3, an inhibitory molecule of the nonclassical NFκB pathway, leads to the degradation of NIK. In the absence of upstream signals of the nonclassical NFκB pathway, NIK is degraded by TRAF3 and kept at a low level. In contrast, in the presence of upstream signals, TRAF3 is degraded, and the level of NIK increases, mediating the conduction of the nonclassical NFκB pathway. According to the study, a common abnormality of the MAP3K14 gene is copy number gain,38,41 while the TRAF3 gene often undergoes deletions,38 with the former promoting NIK activation of the IKK complex and the latter decreasing the inhibitory effect of TRAF3 on NIK.

In addition, there are genes whose functions are not fully defined or cannot be classified solely as classical/nonclassical NFκB pathways. For example, TNFRSF14 (CD270, HVEM) is considered to be a tumor suppressor gene in other B-cell lymphomas, and its deletions are found in approximately 20% of cHL patients.41,44 The AKT1 gene often undergoes copy number gain and is thought to be associated with the NFκB pathway.93 NOTCH1, one of the transcription factors of the NFκB pathway, also frequently undergoes copy number variation.93

Immune evasion in HRS cells and related genetic lesions

Previous studies have shown that the human immune system is capable of killing tumor cells, but malignant tumors often possess the ability of immune escape. The mechanisms of immune evasion are diverse and include the tumor microenvironment, genetic alterations, and so on. Specifically, in cHL, previous studies have identified chromosome 9p/9p24.1 abnormalities as one of the most common genetic abnormalities in cHL, and correspondingly, increased 9p/9p24.1 copy number often leads to increased expression of PD1 ligands in HRS cells. These HRS cells bind to PD1 receptor-positive cells and undergo immune evasion through the PD1 signaling pathway.94 In other words, the immune evasion by HL not only prevents the immune system from killing itself but also facilitates the participation of these immune cells in the formation of the tumor microenvironment, which contributes to the survival of HRS cells.

As mentioned above, the PD1-PDL1 pathway plays a significant role in immune evasion in HL patients, and abnormalities in related genes are often associated with the amplification of 9p24.1.17,48,94 In addition, there are other immune evasion-related pathways. For example, CD4 and CD8 cells kill HRS cells through TCR-MHC I/II, but MHC copy loss is often present in cHL patients.95,96 In addition, B2M, which is one of the components of the MHC I molecule, also frequently undergoes inactivating mutations.54 The coding product of CIITA (Class II Major Histocompatibility Complex Transactivator) is located in the nucleus and functions as a positive regulatory molecule of MHC II transcription. This study identified tandem duplication and balanced translocations of the CIITA gene (HLA-DQB1).52,53 The significance of the former is unclear, but functional assays have found that the latter can lead to CIITA inactivation and downregulation of MHC II expression. FAS (TNFRSF6, APT1, CD95) molecules carry the death domain (DD) and are involved in the formation of the death-inducing signaling complex (DISK), activating caspase molecules and leading to proteolytic cell destruction. In vitro experiments have shown that HRS cells are resistant to apoptosis induced by the FAS pathway and that this resistance is associated with mutations in FAS.4951,97 The germline mutation p.I1711M in Dicer raises the risk of HL,65 and the coding product of Dicer is an endonuclease containing highly conserved tandem endonuclease structures, namely, RNase IIIA and RNase IIIB, which are required for microRNA (miRNA) biosynthesis and several other RNA interference phenomena. Their mutations lead to impaired expression of tumor suppressor miRNAs.65,98

The somatic hypermutation of immunoglobulin genes in B-cells results in different B-cell receptors (BCRs). In the dark zone of the germinal centers, these B cells can be divided into two categories according to the affinity of the BCR (Figure 5). B-cells with a high-affinity BCR or non-self-reactive BCR can differentiate into plasma cells, memory B cells, and so on. B-cells expressing a low-affinity BCR or self-reactive BCR will be eliminated by Fas-mediated apoptosis in the light zone of germinal centers.99 It has been postulated that HRS cells may be derived from B cells that escape Fas-mediated apoptosis in the dark zone, although the details remain to be uncovered.99,100 Mutation of the FAS gene may participate in this process to some extent.

Figure 5.

Figure 5.

The selection of B-cells in germinal centers in classical Hodgkin lymphoma.

Genetic lesions in nodular lymphocyte-predominant HL

NLPHL is a kind of follicle-derived germinal center B-cell lymphoma,1 whose tumor cells are not HRS cells but LP cells (lymphocyte-predominant). Typical immunophenotype for NLPHL is CD20+, CD45+, CD79a+, BCL6+, PAX-5+; CD3–, CD15–, CD30–. For cHL, the type is CD15+, CD30+, PAX-5+ (weak); CD3–, CD20– (majority), CD45–, CD79a–. LP cells without CD30 and CD15 expression are consistently positive for CD20. Due to the absence of CD30 and CD15, NLPHL is not associated with EBV infection.2 The first-line treatment of stage IA NLPHL is involved in Site Radiation Therapy. And in intermediate-stage and relapsed NLPHL, the active treatment consists of conventional chemotherapy, anti-CD20 antibodies, and radiotherapy. Individuals with NLPHL usually have a good prognosis.101 Notably, genetic susceptibility genes associated with tumor cells have also been identified in NLPHL, including NPAT and TET2T.

Due to the mutation of SOCS1, the constitutive activation of JAK/STAT and NF-κB pathway is also shown in LP cells.87 However, many mutations frequently found in HRS cells seem to be less frequent in LP cells, and the distinct genetic lesions of NLPHL have not been observed in cHL.102

Three highly recurrently mutated genes (DUSP2, JUNB, and SGK1) were revealed in an analysis of 62 genes in NLPHL by targeted ultradeep sequencing.103 DUSP2 is a negative regulator of MAP, ERK, and JNK, though the role of DUSP2 in NLPHL remains to be clarified.104 Truncating mutations of JUNB are frequently observed in LP cells,103 and Szremska AP’s study indicates that the JUNB possesses the tumor suppressor function in B-cells.105 The inhibition of SGK1 can induce apoptosis of NLPHL cell line DEV, which highlights the potential value of SGK1 in the treatment of NLPHL.103 Moreover, the translocations affecting BCL6 have been identified in one-third of NLPHL cases.106,107

In an NLPHL family containing four cousins, an investigator found a truncating germline mutation of NPAT (nuclear protein, ataxia-telangiectasia locus) associated with NLPHL.63 The encoded product of NPAT is closely related to the regulation of the cell cycle, and NPAT can be phosphorylated by the cell cycle protein E-dependent kinase 2 (CDK2) complex. Its expression level in the G1 to S phases of the cell cycle is consistent with the activity of the cell cycle protein E-CDK2 complex, which promotes the shift of cells to S phase. Mutations in NPAT can lead to cell cycle NPAT, which also contributes to the activation of the ATM promoter, and mutations in ATM can be seen in a variety of hematological malignancies.63 TET2T is a gene that predisposes to familial DNA demethylation. Its mutations lead to an increase in the methylation levels in the binding regions of major transcription factors involved in hematopoiesis,60 thus affecting the function of transcription factors with a binding preference for nonmethylated DNA, including RUNX1/2/3 and PU.1, leading to hematological aberrations. The association of these NLPHL-related genes with cHL has not yet been reported.

Treatment of HL

The treatment of HL has a long history, and the most commonly used chemotherapeutic regimen, namely, ABVD (adriamycin, i.e., doxorubicin, bleomycin, vinblastine, and dacarbazine), was introduced more than 40 years ago.108 For relapsed/refractory cHL, several novel therapies have been put into clinical use, and most of these novel therapies are related to the signaling pathways mentioned above109,110 (Table 2). As seen in Table 2, targeted therapies for HL have focused on molecules such as CD30 and PD1. The former is upregulated in HRS cells and is involved in the hyperactivation of the NFκB pathway, while the latter is often abnormal at the genetic and chromosomal levels in HL patients, leading to immune evasion. In addition, the overactivated JAK-STAT pathway is one of the common targets, for example, ITF2357 was found to kill cells with mutated JAK2 (V617F), and idelalisib and everolimus can target molecules of the PI3K/AKT pathway, which can be activated by JAK.

Table 2.

Clinical trials related to pathways above with exact results.

Drug Target Patient population Trial referencea Efficacy
ITF2357 HDAC, JAK2 (V617F) HL NCT00792467 PR: 20.83%
SD: 29.17%
PD: 37.50%
PFS: 164.53 days
Idelalisib PI3Kδ HL NCT01393106 ORS: 20% (95% CI: 6.8%–40.7%)
The median time to response: 2.0 months
The median duration of response: 8.4 months
median PFS: 2.3 months
Rituximab CD20 HL NCT00003820 CR: 67%
PR: 33%
Estimated 5-year PFS: 58.9% (95% CI: 38.0%–91.2%)
Estimated 5-year OS: 85.7% (95% CI: 69.2%–100%)
Everolimus mTOR HL NCT01022996 ORS: 45.6% (95% CI: 32.4%–59.3%)
CR: 8.8% (5/57)
PR: 36.8% (21/57)
Median PFS was 8.0 months (95% CI: 5.1–11.0)
SGN-30 CD30 HL NCT00337194 OS at 1 year: 86% (95% CI: 61%–95%)
OR: 65.2% (15/23)
EFS: 11.3 months (4.7 to N/A)
Brentuximab vedotin CD30 Relapsed or refractory HL NCT01990534 ORR: 50%;
CR: 12%;
median PFS: 4.8 months (95% CI: 3.0 to 5.3)
Brentuximab vedotin CD30 Childhood Hodgkin Lymphoma NCT01920932 CR: 27 (35%) at ERA (early response assessment)
3-year EFS was 97.4%
OS was 98.7%
Brentuximab vedotin CD30 HL NCT01712490 CR: 73/664
5-year PFS: 82·2% (95% CI: 79·0–85·0)
Brentuximab vedotin plus AVD CD30 Limited-stage HL NCT01534078 CR: 96.9% (31/32)
Brentuximab vedotin plus ICE CD30 Relapsed or refractory HL NCT02227199 CR: 74% (95% CI: 58.8–86.5)
Brentuximab vedotin plus gemcitabine hydrochloride CD30 Relapsed or refractory HL younger than 30 years NCT01780662 CR: 57% (95% CI: 41%–72%) within the first four cycles of treatment
PR: 31%
Brentuximab vedotin combined with bendamustine CD30 HL NCT01874054 CR: 73.6% (95% CI: 59.67%–84.74%)
PFS: 44.2 months (95% CI: 20.9–49.0)
Duration of response: 43.0 (95% CI: 18.7–47.8)
Brentuximab vedotin combined with nivolumab CD30, PD1 HL NCT02572167 ORR: 85%
CR: 67%
Estimated PFS rate at 3 years: 77% (95% CI: 65%–86%); Overall survival at 3 years was 93% (95% CI: 85%–97%)
Tislelizumab PD1 HL NCT03209973 CR: 67.1%
median PFS: 31.5 months
3-year PFS: 40.8%
OS rates: 84.8%
Pembrolizumab PD1 Untreated HL NCT03226249 CMR: 37% (11/30)
IBI308 PD1 Relapsed or refractory HL NCT03114683 ORR: 85.4% (95% CI: 76.7%–91.8%)
Avelumab PD1 Advanced HL NCT02603419 CR: 19.4%

AVD, doxorubicin, vinblastine, and dacarbazine; CD, cluster of differentiation; CI, confidence interval; CMR, complete metabolic response; CR, complete remission; EFS, event-free survival; HDAC, histone deacetylase; HL, Hodgkin lymphoma; ICE, ifosfamide, carboplatin, etoposide; JAK, janus kinase; mTOR, mammalian target of rapamycin; N/A, Not available; OR, overall survival; ORR, objective response rate; ORS, overall response rate; OS, overall survival; PD, progression disease; PD1, programmed cell death protein 1; PFS, progression-free survival; PR, partial remission; SD, stable disease.

a

Trial reference refers IDs found at ClinicalTrials.gov.

Antibody-drug conjugate

ADCs (antibody-drug conjugates) represent the coupling of an antibody to a cytotoxic drug, which are connected by a special chemical bond and contain three parts: the monoclonal antibody, connector, and cytotoxic small molecule (payload).110 The main choice of mAb is IgG1, which has the advantage of a strong half-life and can mediate potent ADCC and CDC processes. In addition to IgG1, IgG2, and IgG4 and immunoglobulins other than IgG can be used as mAbs for ADCs. The ADC currently approved for HL is brentuximab vedotin (BV), which has the structure of anti-CD30 mAb + protease-cleavable linker + MMAE (a microtubule inhibitor). As mentioned earlier, HL patients tend to have genetic abnormalities in the NFκB pathway and enhanced signaling in this pathway, and CD30, an upstream molecule of the NFκB pathway, is upregulated in HRS cells, so BV can be used to target and kill HRS cells.

Immunotherapy

As mentioned above, immune evasion is very common in HL patients. This process encompasses multiple signaling pathways as well as multiple genetic abnormalities, such as PD1-PDL1 and FAS. Immunotherapy has been applied to relapsed refractory HL, including pembrolizumab and nivolumab, which are PD1 antagonists that act mainly by inhibiting PD1-PDL1, which is upregulated in HL patients. The PD1-related mechanisms are described above. However, reports have shown that patients with HL treated with immunotherapy are at risk of developing an autoimmune reaction. This process may be caused by overactive T-cells, and patients often present with skin rash, pneumonitis, and so on.111113

Ongoing HL clinical trials

In addition to conventional chemotherapy, ADC, immunotherapy, and HSCT, novel therapies for relapsed refractory HL are under investigation, such as Camidanlumab tesirine and CAR-T therapy (Chimeric Antigen Receptor T-Cell Immunotherapy).114116 The former is an ADC based on an anti-CD25 monoclonal antibody with tesirine.117 The latter is an emerging therapy characterized by the artificial construction of CAR-T cells that recognize any cell surface structure and produce cytotoxicity. In HL, clinical studies of CAR-T focus on anti-CD30 CAR-T (Table 3). CD30 is upregulated on the surface of HRS cells and plays an important role in the sustained activation of the NF-κB pathway (Figure 4).

Table 3.

Ongoing HL clinical trials evaluating CD30 CAR-T.

Trial referencea Status Study start date Locations Efficacy
NCT01192464 Active, not recruiting 2010/9/1 • Houston Methodist Hospital Houston, Texas, United States.
• Texas Children’s Hospital Houston, Texas, United States.
No results posted
NCT01316146 Active, not recruiting 2011/10/3 • University of North Carolina Chapel Hill Chapel Hill, North Carolina, United States.
• Houston Methodist Hospital Houston, Texas, United States.
• Texas Children’s Hospital Houston, Texas, United States.
CR: 2/7
SD: 3/7
NR: 2/7
No adverse events related to CD30 CAR-T were reported
NCT02259556 Recruiting 2014/10/1 • Chinese PLA General Hospital Beijing, Beijing, China. No results posted
NCT02663297 Recruiting 2016/7/15 • Lineberger Comprehensive Cancer Center at University of North Carolina–Chapel Hill Chapel Hill, North Carolina, United States.
• Wake Forest University Winston-Salem, North Carolina, United States.
No results posted
NCT03383965 Recruiting 2017/3/1 • Weifang People’s Hospital Weifang, Shandong, China. No results posted
NCT02917083 Recruiting 2017/5/8 • Houston Methodist Hospital Houston, Texas, United States.
• Texas Children’s Hospital Houston, Texas, United States.
CR: 59% (19/32)
1-year PFS: 36% (95% CI: 21% to 51%)
1-year OS: 94% (95% CI: 79% to 99%)
NCT04288726 Recruiting 2020/9/16 • Houston Methodist Hospital Houston, Texas, United States.
• Texas Children’s Hospital Houston, Texas, United States.
No results posted
NCT04665063 Recruiting 2020/10/22 • Hematology Department, Hebei Medical University Fourth Hospital Shijiazhuang, Hebei, China. No results posted
NCT04653649 Recruiting 2020/12/4 • Hospital Santa Creu i Sant Pau Barcelona, Spain. No results posted
NCT04268706 Recruiting 2021/2/1 • City of Hope Comprehensive Cancer Center Duarte, California, United States.
• University of Chicago Medical Center Chicago, Illinois, United States.
• Children’s Hospital of Philadelphia Philadelphia, Pennsylvania, United States.
• (And 2 more. . .).
No results posted
NCT04952584 Not yet recruiting 2021/9/1 • Houston Methodist Hospital Houston, Texas, United States.
• Texas Children’s Hospital Houston, Texas, United States.
No results posted

CAR-T, chimeric antigen receptor T-cell immunotherapy; CD, cluster of differentiation; CI, confidence interval; CR, complete remission; HL, Hodgkin lymphoma; NR, no response; OS, overall survival; PFS, progression-free survival; SD, stable disease.

a

Trial reference refers IDs found at ClinicalTrials.gov.

Considering the frequent genetic lesions and associated pathways in HL patients as well as in HRS cells, treatment combined with genetic testing may be of some benefit. As mentioned above, the main genetic abnormalities in HL patients are most commonly found in the JAK-STAT, NFκB, and other pathways, especially in the REL and TNFAIP3 genes. Therefore, patients with these genetic abnormalities can be treated with drugs such as inhibitors of the relevant pathways. In addition to the above mentioned treatments, there are many drugs targeting HL that are still in clinical trials (Table 4), for example, various PD1 inhibitors, such as CS1001 and TQB2450; ipilimumab, which targets CTLA-4; itacitinib, which inhibits the JAK-STAT pathway; and LMP-specific CTLs for EBV-positive lymphoma.

Table 4.

Ongoing HL clinical trials evaluating other novel agents.

Drug Target Patient population Trial referencea Efficacy
SHR-1210 (camrelizumab) PD1 HL NCT03250962 Camrelizumab combined with Decitabine:
CR: 79% (95% CI 63%–90%);
Median PFS: 35.0 months (95% CI not reached)
SHR-1210 (camrelizumab) PD1 Advanced HL NCT04067037 No results posted
Nivolumab PD1 Relapsed or refractory HL NCT04091490 No results posted
Avelumab PD1 Advanced HL NCT03617666 No results posted
Pembrolizumab plus involved site radiation PD1 Early stage relapsed or Refractory HL NCT03179917 No results posted
CS1001 PD1 Relapsed or refractory HL NCT03505996 No results posted
Tislelizumab PD1 Early stage HL NCT04837859 No results posted
Tislelizumab PD1 Relapsed or refractory HL NCT04318080 No results posted
GLS-010 PD1 HL NCT03655483 CR: 32.9% (n = 28)
PR: 57.6% (n = 49)
12-month PFS: (95% CI: 67.5–85.6)
12-month OS: 99% (95% CI: 91.9–99.8)
TQB2450 PD1 Relapsed or refractory HL NCT03800706 No results posted
Ibrutinib BTK HL NCT02824029 No results posted
Brentuximab vedotin CD30 Early stage HL NCT04685616 No results posted
Brentuximab vedotin CD30 Relapsed or refractory HL After ASCT NCT03652441 No results posted
Brentuximab vedotin CD30 Relapsed or refractory HL NCT01508312 PET-negativity rate: 27% (95% CI 13%–40%, n = 12)
ADCT-301 CD25 Relapsed or refractory HL NCT04052997 No results posted
Basiliximab CD25 Relapsed or refractory HL NCT04871607 No results posted
Itacitinib plus everolimus JAK1, mTOR HL NCT03697408 No results posted
Mocetinostat plus brentuximab vedotin HDAC, CD30 Relapsed or refractory HL NCT02429375 No results posted
Ibrutinib plus nivolumab BTK, PD1 Relapsed or refractory HL NCT02940301 No results posted
Magrolimab plus pembrolizumab CD47, PD1 HL NCT04788043 No results posted
AZD4573 CDK9 Relapsed or refractory HL NCT05140382 No results posted
Nivolumab plus ipilimumab CTLA-4, PD1 HIV associated relapsed or refractory HL NCT02408861 Cell-associated unspliced (CA-US) HIV RNA: 1.44-fold increase (interquartile range, 1.16–1.89) after the first dose of combination therapy (p = 0.031).
TAA-specific CTLs Tumor-associated antigens (TAAs) HL NCT05134740 No results posted
Tinostamustine HDACs Relapsed or refractory HL NCT02576496 No results posted
LMP-specific CTLs LMP HL NCT01956084 2-year OS: 68%
There was one case of dose-related toxicity. (26 patients in this clinical trial)
MABEL CTLsb LMP, BARF-1, and EBNA1 HL NCT02287311 No results posted

ASCT, autologous stem cell transplant; BARF1, BamH1-A Reading Frame-1; BTK, Bruton’s tyrosine kinase; CDK9, cyclin-dependent kinase 9; CI, confidence interval; CR, complete remission; CTLA-4, cytotoxic T-lymphocyte-associated protein 4; EBNA1, Epstein–Barr nuclear antigen 1; HDAC, histone deacetylase; HIV, human immunodeficiency virus; HL, Hodgkin lymphoma; JAK, janus kinase; LMP1, latent membrane protein 1; mTOR, mammalian target of rapamycin; OS, overall survival; PD, progression disease; PD1, programmed cell death protein 1; PFS, progression-free survival; PR, partial response; RNA, ribonucleic acid.

a

Trial reference refers IDs found at ClinicalTrials.gov.

b

LMP, BARF-1, and EBNA1-specific cytotoxic T-lymphocytes.

Potential therapeutic targets

The essential role of JAK-STAT pathway and NF-κB pathway in HL has been proved in ‘Genetic lesions and related pathways’, which emerged as promising targets for the treatment of HL, and parts of the novel therapies were listed in Tables 24. And the inhibitors of positive regulators, transcription factors, and some kinases (Figure 2) are also promising targets for the treatment of HL. For example, lestaurtinib, a multikinase inhibitor, can inhibit the phosphorylation of JAK2, STAT5, and STAT3.118,119 PIM serine/threonine kinases are downstream molecules of JAK-STAT and NF-kB pathways, and pan-PIM inhibitor targeting PIM kinases is included in the preclinical setting.120 As shown in Figure 2, the PI3K-AKT pathway is constitutively active in HRS cells, providing a strong rationale for targeting PI3K/AKT/mTOR in cHL patients.121,122 Genetic lesions lead to the loss of function of some molecules in HL, especially those negative regulators and tumor suppressors. Recently, Boice et al.123 have restored the tumor-suppressive effects of TNFRSF14 in a xenograft mouse model through the HVEM ectodomain delivered by CD19 CAR-T cells.

Immune-related genetic lesions and pathways may broadly get involved in anti-EBV immunity and the immune surveillance of B-cells. The alteration of those genes such as PD1 could enable malignant B cells to escape from T-cells, and the related abnormalities molecules can be optimal targets for therapy since PD1 and CTLA4 inhibitors are under clinical trials. For EBV-associated HL with MAGT1 mutation, the role of magnesium supplementation in vivo and in vitro is being investigated.5 Moreover, the idea of using EBV-related antigens (LMP, EBER, and EBNA1.1) as therapeutic targets was suggested 20 years ago.124 In primary immunodeficiency-related HL with genetic lesions (such as ITK3, MAGT1, RASGRP14, CD27, CD70, TNFRSF9, and STK4), the restoration of normal immune function is helpful, which could be achieved through allogeneic BMT.125,126 Furthermore, gene therapy is a promising direction for future research.

Future perspectives

Although the effect of some genetic aberrations that involve genes like JAK has been elucidated, the exact function of many genetic lesions remains less well defined. To solve these problems, animal models and in vivo studies are necessary. Furthermore, it may be meaningful to analyze the data from different HL groups. For example, sequencing of relapsed/refractory HL cases will be important to explore the mechanisms in resistance, and the sequencing data from newly diagnosed patients would hint the causes of HL. Moreover, the appearance of ctDNA and single-cell sequencing also will be helpful in identifying treatment-dependent patterns of clonal evolution and mirroring HRS cell genetics.

The introduction of the concept of precision medicine and the development of technologies such as sequencing have gradually highlighted the association between a patient’s genetics and disease, which is reflected in various aspects, such as diagnosis and prediction of prognosis. It has been found that next-generation sequencing of patients’ circulating tumor DNA (ctDNA), for example, can assist in determining the genetics and outcome of HL patients at different clinical stages.127 When combined with the common genetic lesions of HL mentioned above, ctDNA monitoring allows for the identification of the early-stage patients with refractory HL as well as the detection of residual disease in patients during treatment or remission. Besides, the cell genetics of HL can be mirrored by ctDNA, which could be further exploited as an easily accessible method to distinguish cHL genotypes. Fortunately, consistent with the assumption, Camus et al.128 and Spina et al.127 detected the variants of ctDNA to characterize the genetic features of cHL at the time of diagnosis, which greatly facilitate the assessment of early treatment response.

In addition, considering the existence of mechanisms that can trigger chromosomal instability, such as POT1 gene abnormalities, as well as the association between primary immunodeficiency, EBV, and HL mentioned in the previous article, it can be speculated that specific genetic lesions may be associated with the development of HL. Therefore, by monitoring the presence of specific genetic lesions, it might be possible to predict the risk of patients developing hematological malignant diseases such as HL. In addition, for patients who already have HL, targeted therapies that target abnormal pathways involved in these abnormalities may be a new direction for future treatment.

Acknowledgments

None.

Footnotes

Contributor Information

Zhe Li, Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Wei Mu, Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Min Xiao, Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Hankou, Wuhan 430030, China.

Declarations

Ethics approval and consent to participate: Not applicable.

Consent for publication: Not applicable.

Author contributions: Zhe Li: Conceptualization; Writing – original draft.

Wei Mu: Writing – review & editing.

Min Xiao: Conceptualization; Writing – review & editing.

Funding: The authors received no financial support for the research, authorship, and/or publication of this article.

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Availability of data and materials: Not applicable.

References

  • 1. Hoppe RT, Advani RH, Ai WZ, et al. Hodgkin lymphoma, version 2.2020, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw 2020; 18: 755–781. [DOI] [PubMed] [Google Scholar]
  • 2. Connors JM, Cozen W, Steidl C, et al. Hodgkin lymphoma. Nat Rev Dis Primers 2020; 6: 61. [DOI] [PubMed] [Google Scholar]
  • 3. Alme C, Satwani P, Alobeid B, et al. Atypical clinical course in pediatric Hodgkin lymphoma: association with germline mutations in interleukin-2-inducible T-cell kinase. J Pediatr Hematol Oncol 2015; 37: 507–508. [DOI] [PubMed] [Google Scholar]
  • 4. Lino CNR, Ghosh S. Epstein-Barr virus in inborn immunodeficiency-more than infection. Cancers 2021; 13: 4752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Ravell JC, Chauvin SD, He T, et al. An update on XMEN disease. J Clin Immunol 2020; 40: 671–681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Latour S, Winter S. Inherited immunodeficiencies with high predisposition to Epstein-Barr virus-driven lymphoproliferative diseases. Front Immunol 2018; 9: 1103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Izawa K, Martin E, Soudais C, et al. Inherited CD70 deficiency in humans reveals a critical role for the CD70–CD27 pathway in immunity to Epstein-Barr virus infection. J Exp Med 2017; 214: 73–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Abolhassani H, Edwards ES, Ikinciogullari A, et al. Combined immunodeficiency and Epstein-Barr virus-induced B cell malignancy in humans with inherited CD70 deficiency. J Exp Med 2017; 214: 91–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Caorsi R, Rusmini M, Volpi S, et al. CD70 deficiency due to a novel mutation in a patient with severe chronic EBV infection presenting as a periodic fever. Front Immunol 2017; 8: 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Alkhairy OK, Perez-Becker R, Driessen GJ, et al. Novel mutations in TNFRSF7/CD27: clinical, immunologic, and genetic characterization of human CD27 deficiency. J Allergy Clin Immunol 2015; 136: 703–712. [DOI] [PubMed] [Google Scholar]
  • 11. Alosaimi MF, Hoenig M, Jaber F, et al. Immunodeficiency and EBV-induced lymphoproliferation caused by 4-1BB deficiency. J Allergy Clin Immunol 2019; 144: 574–583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Somekh I, Thian M, Medgyesi D, et al. CD137 deficiency causes immune dysregulation with predisposition to lymphomagenesis. Blood 2019; 134: 1510–1516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Nehme NT, Schmid JP, Debeurme F, et al. MST1 mutations in autosomal recessive primary immunodeficiency characterized by defective naive T-cell survival. Blood 2012; 119: 3458–3468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Schipp C, Schlutermann D, Honscheid A, et al. EBV negative lymphoma and autoimmune lymphoproliferative syndrome like phenotype extend the clinical spectrum of primary immunodeficiency caused by STK4 deficiency. Front Immunol 2018; 9: 2400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Lennerz JK, Hoffmann K, Bubolz AM, et al. Suppressor of cytokine signaling 1 gene mutation status as a prognostic biomarker in classical Hodgkin lymphoma. Oncotarget 2015; 6: 29097–29110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Weniger MA, Melzner I, Menz CK, et al. Mutations of the tumor suppressor gene SOCS-1 in classical Hodgkin lymphoma are frequent and associated with nuclear phospho-STAT5 accumulation. Oncogene 2006; 25: 2679–2684. [DOI] [PubMed] [Google Scholar]
  • 17. Wienand K, Chapuy B, Stewart C, et al. Genomic analyses of flow-sorted Hodgkin Reed-Sternberg cells reveal complementary mechanisms of immune evasion. Blood Adv 2019; 3: 4065–4080. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Zahn M, Kaluszniak B, Moller P, et al. The PTP1B mutant PTP1B2-4 is a positive regulator of the JAK/STAT signalling pathway in Hodgkin lymphoma. Carcinogenesis 2021; 42: 517–527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Gunawardana J, Chan FC, Telenius A, et al. Recurrent somatic mutations of PTPN1 in primary mediastinal B cell lymphoma and Hodgkin lymphoma. Nat Genet 2014; 46: 329–335. [DOI] [PubMed] [Google Scholar]
  • 20. Vainchenker W, Constantinescu SN. JAK/STAT signaling in hematological malignancies. Oncogene 2013; 32: 2601–2613. [DOI] [PubMed] [Google Scholar]
  • 21. Tiacci E, Ladewig E, Schiavoni G, et al. Pervasive mutations of JAK-STAT pathway genes in classical Hodgkin lymphoma. Blood 2018; 131: 2454–2465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Hudnall SD, Meng H, Lozovatsky L, et al. Recurrent genetic defects in classical Hodgkin lymphoma cell lines. Leuk Lymphoma 2016; 57: 2890–2900. [DOI] [PubMed] [Google Scholar]
  • 23. Kleppe M, Tousseyn T, Geissinger E, et al. Mutation analysis of the tyrosine phosphatase PTPN2 in Hodgkin’s lymphoma and T-cell non-Hodgkin’s lymphoma. Haematologica 2011; 96: 1723–1727. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Baxter EJ, Scott LM, Campbell PJ, et al. Acquired mutation of the tyrosine kinase JAK2 in human myeloproliferative disorders. Lancet 2005; 365: 1054–1061. [DOI] [PubMed] [Google Scholar]
  • 25. Van Roosbroeck K, Cox L, Tousseyn T, et al. JAK2 rearrangements, including the novel SEC31A-JAK2 fusion, are recurrent in classical Hodgkin lymphoma. Blood 2011; 117: 4056–4064. [DOI] [PubMed] [Google Scholar]
  • 26. Camus V, Miloudi H, Taly A, et al. XPO1 in B cell hematological malignancies: from recurrent somatic mutations to targeted therapy. J Hematol Oncol 2017; 10: 47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Camus V, Stamatoullas A, Mareschal S, et al. Detection and prognostic value of recurrent exportin 1 mutations in tumor and cell-free circulating DNA of patients with classical Hodgkin lymphoma. Haematologica 2016; 101: 1094–1101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Etzel BM, Gerth M, Chen Y, et al. Mutation analysis of tumor necrosis factor alpha-induced protein 3 gene in Hodgkin lymphoma. Pathol Res Pract 2017; 213: 256–260. [DOI] [PubMed] [Google Scholar]
  • 29. Schmitz R, Hansmann ML, Bohle V, et al. TNFAIP3 (A20) is a tumor suppressor gene in Hodgkin lymphoma and primary mediastinal B cell lymphoma. J Exp Med 2009; 206: 981–989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Nomoto J, Hiramoto N, Kato M, et al. Deletion of the TNFAIP3/A20 gene detected by FICTION analysis in classical Hodgkin lymphoma. BMC Cancer 2012; 12: 457. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Emmerich F, Theurich S, Hummel M, et al. Inactivating I kappa B epsilon mutations in Hodgkin/Reed-Sternberg cells. J Pathol 2003; 201: 413–420. [DOI] [PubMed] [Google Scholar]
  • 32. Liu X, Yu H, Yang W, et al. Mutations of NFKBIA in biopsy specimens from Hodgkin lymphoma. Cancer Genet Cytogenet 2010; 197: 152–157. [DOI] [PubMed] [Google Scholar]
  • 33. Jungnickel B, Staratschek-Jox A, Brauninger A, et al. Clonal deleterious mutations in the Ikappa B alpha gene in the malignant cells in Hodgkin’s lymphoma. J Exp Med 2000; 191: 395–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Emmerich F, Meiser M, Hummel M, et al. Overexpression of I kappa B alpha without inhibition of NF-kappa B activity and mutations in the I kappa B alpha gene in Reed-Sternberg cells. Blood 1999; 94: 3365–3365. [PubMed] [Google Scholar]
  • 35. Cabannes E, Khan G, Aillet F, et al. Mutations in the IkBa gene in Hodgkin’s disease suggest a tumour suppressor role for IkappaBalpha. Oncogene 1999; 18: 3063–3070. [DOI] [PubMed] [Google Scholar]
  • 36. Ohshima K, Haraoka S, Yoshioka S, et al. Chromosome 16q deletion and loss of E-cadherin expression in Hodgkin and Reed-Sternberg cells. Int J Cancer 2001; 92: 678–682. [DOI] [PubMed] [Google Scholar]
  • 37. Schmidt A, Schmitz R, Giefing M, et al. Rare occurrence of biallelic CYLD gene mutations in classical Hodgkin lymphoma. Genes Chromosomes Cancer 2010; 49: 803–809. [DOI] [PubMed] [Google Scholar]
  • 38. Otto C, Giefing M, Massow A, et al. Genetic lesions of the TRAF3 and MAP3K14 genes in classical Hodgkin lymphoma. Br J Haematol 2012; 157: 702–708. [DOI] [PubMed] [Google Scholar]
  • 39. Hartmann S, Martin-Subero JI, Gesk S, et al. Detection of genomic imbalances in microdissected Hodgkin and Reed-Sternberg cells of classical Hodgkin’s lymphoma by array-based comparative genomic hybridization. Haematologica 2008; 93: 1318–1326. [DOI] [PubMed] [Google Scholar]
  • 40. Martín-Subero JI, Knippschild U, Harder L, et al. Segmental chromosomal aberrations and centrosome amplifications: pathogenetic mechanisms in Hodgkin and Reed-Sternberg cells of classical Hodgkin’s lymphoma. Leukemia 2003; 17: 2214–2219. [DOI] [PubMed] [Google Scholar]
  • 41. Steidl C, Telenius A, Shah SP, et al. Genome-wide copy number analysis of Hodgkin Reed-Sternberg cells identifies recurrent imbalances with correlations to treatment outcome. Blood 2010; 116: 418–427. [DOI] [PubMed] [Google Scholar]
  • 42. Joos S, Menz CK, Wrobel G, et al. Classical Hodgkin lymphoma is characterized by recurrent copy number gains of the short arm of chromosome 2. Blood 2002; 99: 1381–1387. [DOI] [PubMed] [Google Scholar]
  • 43. Martin-Subero JI, Gesk S, Harder L, et al. Recurrent involvement of the REL and BCL11A loci in classical Hodgkin lymphoma. Blood 2002; 99: 1474–1477. [DOI] [PubMed] [Google Scholar]
  • 44. Salipante SJ, Adey A, Thomas A, et al. Recurrent somatic loss of TNFRSF14 in classical Hodgkin lymphoma. Genes Chromosomes Cancer 2016; 55: 278–287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Yamazaki F, Shima H, Osumi T, et al. Nodular lymphocyte-predominant Hodgkin lymphoma in a 15-year-old boy with Li-Fraumeni Syndrome having a Germline TP53 D49H mutation. J Pediatr Hematol Oncol 2018; 40: e195–e197. [DOI] [PubMed] [Google Scholar]
  • 46. Lespinet V, Terraz F, Recher C, et al. Single-cell analysis of loss of heterozygosity at the ATM gene locus in Hodgkin and Reed-Sternberg cells of Hodgkin’s lymphoma: ATM loss of heterozygosity is a rare event. Int J Cancer 2005; 114: 909–916. [DOI] [PubMed] [Google Scholar]
  • 47. Fadlelmola FM, Zhou M, de Leeuw RJ, et al. Sub-megabase resolution tiling (SMRT) array-based comparative genomic hybridization profiling reveals novel gains and losses of chromosomal regions in Hodgkin lymphoma and anaplastic large cell lymphoma cell lines. Mol Cancer 2008; 7: 2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Roemer MG, Advani RH, Ligon AH, et al. PD-L1 and PD-L2 genetic alterations define classical Hodgkin lymphoma and predict outcome. J Clin Oncol 2016; 34: 2690–2697. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Müschen M, Re D, Bräuninger A, et al. Somatic mutations of the CD95 gene in Hodgkin and Reed-Sternberg cells. Cancer Res 2000; 60: 5640–5643. [PubMed] [Google Scholar]
  • 50. Maggio EM, Van Den Berg A, de Jong D, et al. Low frequency of FAS mutations in Reed-Sternberg cells of Hodgkin’s lymphoma. Am J Pathol 2003; 162: 29–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Poppema S, Maggio E, van den Berg A. Development of lymphoma in autoimmune lymphoproliferative syndrome (ALPS) and its relationship to Fas gene mutations. Leuk Lymphoma 2004; 45: 423–431. [DOI] [PubMed] [Google Scholar]
  • 52. Steidl C, Shah SP, Woolcock BW, et al. MHC class II transactivator CIITA is a recurrent gene fusion partner in lymphoid cancers. Nature 2011; 471: 377–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Mottok A, Woolcock B, Chan FC, et al. Genomic alterations in CIITA are frequent in primary mediastinal large B cell lymphoma and are associated with diminished MHC class II expression. Cell Rep 2015; 13: 1418–1431. [DOI] [PubMed] [Google Scholar]
  • 54. Reichel J, Chadburn A, Rubinstein PG, et al. Flow sorting and exome sequencing reveal the oncogenome of primary Hodgkin and Reed-Sternberg cells. Blood 2015; 125: 1061–1072. [DOI] [PubMed] [Google Scholar]
  • 55. Ding Q, Yang LY. Perforin gene mutations in 77 Chinese patients with lymphomas. World J Emerg Med 2013; 4: 128–132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Schneider M, Schneider S, Zühlke-Jenisch R, et al. Alterations of the CD58 gene in classical Hodgkin lymphoma. Genes Chromosomes Cancer 2015; 54: 638–645. [DOI] [PubMed] [Google Scholar]
  • 57. Fromm JR, Kussick SJ, Wood BL. Identification and purification of classical Hodgkin cells from lymph nodes by flow cytometry and flow cytometric cell sorting. Am J Clin Pathol 2006; 126: 764–780. [DOI] [PubMed] [Google Scholar]
  • 58. Liu A, Takakuwa T, Fujita S, et al. ATR alterations in Hodgkin’s lymphoma. Oncol Rep 2008; 19: 999–1005. [PubMed] [Google Scholar]
  • 59. Venanzi A, Marra A, Schiavoni G, et al. Dissecting clonal hematopoiesis in tissues of classical Hodgkin lymphoma patients. Blood Cancer Discov 2021; 2: 216–225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Kaasinen E, Kuismin O, Rajamaki K, et al. Impact of constitutional TET2 haploinsufficiency on molecular and clinical phenotype in humans. Nat Commun 2019; 10: 1252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Salipante SJ, Mealiffe ME, Wechsler J, et al. Mutations in a gene encoding a midbody kelch protein in familial and sporadic classical Hodgkin lymphoma lead to binucleated cells. Proc Natl Acad Sci U S A 2009; 106: 14920–14925. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Maggio EM, Stekelenburg E, Van den Berg A, et al. TP53 gene mutations in Hodgkin lymphoma are infrequent and not associated with absence of Epstein-Barr virus. Int J Cancer 2001; 94: 60–66. [DOI] [PubMed] [Google Scholar]
  • 63. Saarinen S, Aavikko M, Aittomaki K, et al. Exome sequencing reveals germline NPAT mutation as a candidate risk factor for Hodgkin lymphoma. Blood 2011; 118: 493–498. [DOI] [PubMed] [Google Scholar]
  • 64. Ohshima K, Haraoka S, Yoshioka S, et al. Chromosome 16q deletion and loss of E-cadherin expression in Hodgkin and Reed-Sternberg cells International Journal of Cancer 2001; 92: 678–682. [DOI] [PubMed] [Google Scholar]
  • 65. Srivastava A, Giangiobbe S, Kumar A, et al. Identification of familial Hodgkin lymphoma predisposing genes using whole genome sequencing. Front Bioeng Biotechnol 2020; 8: 179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. McMaster ML, Sun C, Landi MT, et al. Germline mutations in protection of Telomeres 1 in two families with Hodgkin lymphoma. Br J Haematol 2018; 181: 372–377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Nagel S, Schneider B, Meyer C, et al. Transcriptional deregulation of homeobox gene ZHX2 in Hodgkin lymphoma. Leuk Res 2012; 36: 646–655. [DOI] [PubMed] [Google Scholar]
  • 68. Sud A, Chattopadhyay S, Thomsen H, et al. Analysis of 153 115 patients with hematological malignancies refines the spectrum of familial risk. Blood 2019; 134: 960–969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Saarinen S, Pukkala E, Vahteristo P, et al. High familial risk in nodular lymphocyte-predominant Hodgkin lymphoma. J Clin Oncol 2013; 31: 938–943. [DOI] [PubMed] [Google Scholar]
  • 70. Jones SJ, Voong J, Thomas R, et al. Nonrandom occurrence of lymphoid cancer types in 140 families. Leuk Lymphoma 2017; 58: 1–10. [DOI] [PubMed] [Google Scholar]
  • 71. Cerhan JR, Slager SL. Familial predisposition and genetic risk factors for lymphoma. Blood 2015; 126: 2265–2273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Kharazmi E, Fallah M, Pukkala E, et al. Risk of familial classical Hodgkin lymphoma by relationship, histology, age, and sex: a joint study from five Nordic countries. Blood 2015; 126: 1990–1995. [DOI] [PubMed] [Google Scholar]
  • 73. Thorley-Lawson DA, Gross A. Persistence of the Epstein-Barr virus and the origins of associated lymphomas. N Engl J Med 2004; 350: 1328–1337. [DOI] [PubMed] [Google Scholar]
  • 74. Latour S, Fischer A. Signaling pathways involved in the T-cell-mediated immunity against Epstein-Barr virus: lessons from genetic diseases. Immunol Rev 2019; 291: 174–189. [DOI] [PubMed] [Google Scholar]
  • 75. Murray PG, Young LS. An etiological role for the Epstein-Barr virus in the pathogenesis of classical Hodgkin lymphoma. Blood 2019; 134: 591–596. [DOI] [PubMed] [Google Scholar]
  • 76. Jarrett AF, Armstrong AA, Alexander E. Epidemiology of EBV and Hodgkin’s lymphoma. Ann Oncol 1996; 7(Suppl. 4): 5–10. [DOI] [PubMed] [Google Scholar]
  • 77. MacMahon B. Epidemiology of Hodgkin’s disease. Cancer Res 1966; 26: 1189–1201. [PubMed] [Google Scholar]
  • 78. Andreotti AH, Schwartzberg PL, Joseph RE, et al. T-cell signaling regulated by the Tec family kinase, Itk. Cold Spring Harb Perspect Biol 2010; 2: a002287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Kapnick SM, Stinchcombe JC, Griffiths GM, et al. Inducible T cell kinase regulates the acquisition of cytolytic capacity and degranulation in CD8(+) CTLs. J Immunol 2017; 198: 2699–2711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Martin E, Palmic N, Sanquer S, et al. CTP synthase 1 deficiency in humans reveals its central role in lymphocyte proliferation. Nature 2014; 510: 288–292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Nolte MA, van Olffen RW, van Gisbergen KP, et al. Timing and tuning of CD27-CD70 interactions: the impact of signal strength in setting the balance between adaptive responses and immunopathology. Immunol Rev 2009; 229: 216–231. [DOI] [PubMed] [Google Scholar]
  • 82. Khodzhaev K, Bay SB, Kebudi R, et al. Lymphoma predisposing gene in an extended family: CD70 signaling defect. J Clin Immunol 2020; 40: 883–892. [DOI] [PubMed] [Google Scholar]
  • 83. Li FY, Chaigne-Delalande B, Kanellopoulou C, et al. Second messenger role for Mg2+ revealed by human T-cell immunodeficiency. Nature 2011; 475: 471–476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. O’Shea JJ, Murray PJ. Cytokine signaling modules in inflammatory responses. Immunity 2008; 28: 477–487. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Yu H, Pardoll D, Jove R. STATs in cancer inflammation and immunity: a leading role for STAT3. Nat Rev Cancer 2009; 9: 798–809. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Mottok A, Renne C, Seifert M, et al. Inactivating SOCS1 mutations are caused by aberrant somatic hypermutation and restricted to a subset of B-cell lymphoma entities. Blood 2009; 114: 4503–4506. [DOI] [PubMed] [Google Scholar]
  • 87. Mottok A, Renne C, Willenbrock K, et al. Somatic hypermutation of SOCS1 in lymphocyte-predominant Hodgkin lymphoma is accompanied by high JAK2 expression and activation of STAT6. Blood 2007; 110: 3387–3390. [DOI] [PubMed] [Google Scholar]
  • 88. Weniger MA, Kuppers R. NF-κB deregulation in Hodgkin lymphoma. Semin Cancer Biol 2016; 39: 32–39. [DOI] [PubMed] [Google Scholar]
  • 89. Nagel D, Vincendeau M, Eitelhuber AC, et al. Mechanisms and consequences of constitutive NF-κB activation in B-cell lymphoid malignancies. Oncogene 2014; 33: 5655–5665. [DOI] [PubMed] [Google Scholar]
  • 90. Song Z, Wei W, Xiao W, et al. Essential role of the linear ubiquitin chain assembly complex and TAK1 kinase in A20 mutant Hodgkin lymphoma. Proc Natl Acad Sci U S A 2020; 117: 28980–28991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Szymanowska N, Klapper W, Gesk S, et al. BCL2 and BCL3 are recurrent translocation partners of the IGH locus. Cancer Genet Cytogenet 2008; 186: 110–114. [DOI] [PubMed] [Google Scholar]
  • 92. Mathas S, Johrens K, Joos S, et al. Elevated NF-kappaB p50 complex formation and Bcl-3 expression in classical Hodgkin, anaplastic large-cell, and other peripheral T-cell lymphomas. Blood 2005; 106: 4287–4293. [DOI] [PubMed] [Google Scholar]
  • 93. Slovak ML, Bedell V, Hsu YH, et al. Molecular karyotypes of Hodgkin and Reed-Sternberg cells at disease onset reveal distinct copy number alterations in chemosensitive versus refractory Hodgkin lymphoma. Clin Cancer Res 2011; 17: 3443–3454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Liu WR, Shipp MA. Signaling pathways and immune evasion mechanisms in classical Hodgkin lymphoma. Blood 2017; 130: 2265–2270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Roemer MG, Advani RH, Redd RA, et al. Classical Hodgkin lymphoma with reduced β2M/MHC class I expression is associated with inferior outcome independent of 9p24.1 status. Cancer Immunol Res 2016; 4: 910–916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Roemer MGM, Redd RA, Cader FZ, et al. Major histocompatibility complex class II and programmed death ligand 1 expression predict outcome after programmed death 1 blockade in classic Hodgkin lymphoma. J Clin Oncol 2018; 36: 942–950. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Brauninger A, Schmitz R, Bechtel D, et al. Molecular biology of Hodgkin’s and Reed/Sternberg cells in Hodgkin’s lymphoma. Int J Cancer 2006; 118: 1853–1861. [DOI] [PubMed] [Google Scholar]
  • 98. Bandapalli OR, Paramasivam N, Giangiobbe S, et al. Whole genome sequencing reveals DICER1 as a candidate predisposing gene in familial Hodgkin lymphoma. Int J Cancer 2018; 143: 2076–2078. [DOI] [PubMed] [Google Scholar]
  • 99. Thomas RK, Re D, Wolf J, et al. Part I: Hodgkin’s lymphoma – molecular biology of Hodgkin and Reed-Sternberg cells. Lancet Oncol 2004; 5: 11–18. [DOI] [PubMed] [Google Scholar]
  • 100. Re D, Kuppers R, Diehl V. Molecular pathogenesis of Hodgkin’s lymphoma. J Clin Oncol 2005; 23: 6379–6386. [DOI] [PubMed] [Google Scholar]
  • 101. Eichenauer DA, Engert A. How I treat nodular lymphocyte-predominant Hodgkin lymphoma. Blood 2020; 136: 2987–2993. [DOI] [PubMed] [Google Scholar]
  • 102. Brune MM, Juskevicius D, Haslbauer J, et al. Genomic landscape of Hodgkin lymphoma. Cancers 2021; 13: 682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103. Hartmann S, Schuhmacher B, Rausch T, et al. Highly recurrent mutations of SGK1, DUSP2 and JUNB in nodular lymphocyte predominant Hodgkin lymphoma. Leukemia 2016; 30: 844–853. [DOI] [PubMed] [Google Scholar]
  • 104. Chu Y, Solski PA, Khosravi -Far R, et al. The mitogen-activated protein kinase phosphatases PAC1, MKP-1, and MKP-2 have unique substrate specificities and reduced activity in vivo toward the ERK2 sevenmaker mutation. J Biol Chem 1996; 271: 6497–6501. [DOI] [PubMed] [Google Scholar]
  • 105. Szremska AP, Kenner L, Weisz E, et al. JunB inhibits proliferation and transformation in B-lymphoid cells. Blood 2003; 102: 4159–4165. [DOI] [PubMed] [Google Scholar]
  • 106. Wlodarska I, Nooyen P, Maes B, et al. Frequent occurrence of BCL6 rearrangements in nodular lymphocyte predominance Hodgkin lymphoma but not in classical Hodgkin lymphoma. Blood 2003; 101: 706–710. [DOI] [PubMed] [Google Scholar]
  • 107. Renné C, Martín-Subero JI, Hansmann ML, et al. Molecular cytogenetic analyses of immunoglobulin loci in nodular lymphocyte predominant Hodgkin’s lymphoma reveal a recurrent IGH-BCL6 juxtaposition. J Mol Diagn 2005; 7: 352–356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108. Bonadonna G, Zucali R, Monfardini S, et al. Combination chemotherapy of Hodgkin’s disease with adriamycin, bleomycin, vinblastine, and imidazole carboxamide versus MOPP. Cancer 1975; 36: 252–259. [DOI] [PubMed] [Google Scholar]
  • 109. Shanbhag S, Ambinder RF. Hodgkin lymphoma: a review and update on recent progress. CA Cancer J Clin 2018; 68: 116–132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Yu B, Liu D. Antibody-drug conjugates in clinical trials for lymphoid malignancies and multiple myeloma. J Hematol Oncol 2019; 12: 94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Weber JS, Yang JC, Atkins MB, et al. Toxicities of immunotherapy for the practitioner. J Clin Oncol 2015; 33: 2092–2099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Postow MA. Managing immune checkpoint-blocking antibody side effects. Am Soc Clin Oncol Educ Book 2015: 76–83. [DOI] [PubMed] [Google Scholar]
  • 113. Naidoo J, Wang X, Woo KM, et al. Pneumonitis in patients treated with anti-programmed death-1/programmed death ligand 1 therapy. J Clin Oncol 2017; 35: 709–717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114. Wang CM, Wu ZQ, Wang Y, et al. Autologous T cells expressing CD30 chimeric antigen receptors for relapsed or refractory Hodgkin lymphoma: an open-label phase I trial. Clin Cancer Res 2017; 23: 1156–1166. [DOI] [PubMed] [Google Scholar]
  • 115. Ramos CA, Bilgi M, Gerken C, et al. CD30-chimeric antigen receptor (CAR) T cells for therapy of Hodgkin lymphoma (HL). Biol Blood Marrow Transplant 2019; 25: 63.30103018 [Google Scholar]
  • 116. Ramos CA, Ballard B, Zhang H, et al. Clinical and immunological responses after CD30-specific chimeric antigen receptor-redirected lymphocytes. J Clin Invest 2017; 127: 3462–3471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117. Hamadani M, Collins GP, Samaniego F, et al. Phase 1 study of Adct-301 (camidanlumab tesirine), a novel pyrrolobenzodiazepine-based antibody drug conjugate, in relapsed/refractory classical Hodgkin lymphoma. Blood 2018; 132: 928–928. [Google Scholar]
  • 118. Shabbir M, Stuart R. Lestaurtinib, a multitargeted tyrosine kinase inhibitor: from bench to bedside. Expert Opin Investig Drugs 2010; 19: 427–436. [DOI] [PubMed] [Google Scholar]
  • 119. Hexner EO, Serdikoff C, Jan M, et al. Lestaurtinib (CEP701) is a JAK2 inhibitor that suppresses JAK2/STAT5 signaling and the proliferation of primary erythroid cells from patients with myeloproliferative disorders. Blood 2008; 111: 5663–5671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Steidl C, Connors JM, Gascoyne RD. Molecular pathogenesis of Hodgkin’s lymphoma: increasing evidence of the importance of the microenvironment. J Clin Oncol 2011; 29: 1812–1826. [DOI] [PubMed] [Google Scholar]
  • 121. Oki Y, Fanale M, Romaguera J, et al. Phase II study of an AKT inhibitor MK2206 in patients with relapsed or refractory lymphoma. Br J Haematol 2015; 171: 463–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122. Gopal AK, Fanale MA, Moskowitz CH, et al. Phase II study of idelalisib, a selective inhibitor of PI3Kδ, for relapsed/refractory classical Hodgkin lymphoma. Ann Oncol 2017; 28: 1057–1063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. Boice M, Salloum D, Mourcin F, et al. Loss of the HVEM tumor suppressor in lymphoma and restoration by modified CAR-T cells. Cell 2016; 167: 405–418.e13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124. Roskrow MA, Suzuki N, Gan Yj, et al. Epstein-Barr virus (EBV)-specific cytotoxic T lymphocytes for the treatment of patients with EBV-positive relapsed Hodgkin’s disease. Blood 1998; 91: 2925–2934. [PubMed] [Google Scholar]
  • 125. Dimitrova D, Rose JJ, Uzel G, et al. Successful bone marrow transplantation for XMEN: hemorrhagic risk uncovered. J Clin Immunol 2019; 39: 1–3. [DOI] [PubMed] [Google Scholar]
  • 126. Klinken EM, Gray PE, Pillay B, et al. Diversity of XMEN disease: description of 2 novel variants and analysis of the lymphocyte phenotype. J Clin Immunol 2020; 40: 299–309. [DOI] [PubMed] [Google Scholar]
  • 127. Spina V, Bruscaggin A, Cuccaro A, et al. Circulating tumor DNA reveals genetics, clonal evolution, and residual disease in classical Hodgkin lymphoma. Blood 2018; 131: 2413–2425. [DOI] [PubMed] [Google Scholar]
  • 128. Camus V, Viennot M, Lequesne J, et al. Targeted genotyping of circulating tumor DNA for classical Hodgkin lymphoma monitoring: a prospective study. Haematologica 2020; 106: 154–162. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Therapeutic Advances in Hematology are provided here courtesy of SAGE Publications

RESOURCES