Home Medicine Genetic alterations in mature B- and T-cell lymphomas – a practical guide to WHO-HAEM5
Article Open Access

Genetic alterations in mature B- and T-cell lymphomas – a practical guide to WHO-HAEM5

  • Cristina López

    Cristina López, PhD

    EMAIL logo
    , Anja Fischer

    Dr. rer. nat. Anja Fischer

    ORCID logo
    , Andreas Rosenwald

    Prof. Dr. med. Andreas Rosenwald

    , Reiner Siebert

    Prof. Dr. med. Reiner Siebert

    ORCID logo
    , German Ott

    Prof. Dr. med. German Ott

    ORCID logo
    and Katrin S. Kurz

    Dr. med. Katrin S. Kurz

    ORCID logo
Published/Copyright: March 6, 2024
Become an author with De Gruyter Brill

Abstract

The identification of recurrent genomic alterations in tumour cells has a significant role in the classification of mature B- and T-cell lymphomas. Following the development of new technologies, such as next generation sequencing and the improvement of classical technologies such as conventional and molecular cytogenetics, a huge catalogue of genomic alterations in lymphoid neoplasms has been established. These alterations are relevant to refine the taxonomy of the classification of lymphomas, to scrutinize the differential diagnosis within different lymphoma entities and to help assessing the prognosis and clinical management of the patients. Consequently, here we describe the key genetic alterations relevant in mature B- and T-cell lymphomas.

Owing to recent advances in the application of next generation sequencing (NGS) strategies, specific molecular alterations – although in part overlapping – have been associated with distinct clinico-pathologic entities of mature B-cell and T/NK-cell lymphoproliferations. These new insights have not only broadened our knowledge on ways of transformation but can also be of help in equivocal cases which may be difficult to classify solely on morphologic and immunophenotypic grounds. The updated World Health Organization classification of haematolymphoid neoplasms (WHO-HAEM5) used these molecular data to improve the classification of mature lymphoid neoplasms [1].

Mature B-cell lymphomas

The mature B-cell lymphomas are categorized in 12 families (Figure 1A).

Preneoplastic and neoplastic small lymphocytic proliferations comprise three subytpes of monoclonal B-cell lymphocytosis (MBL). Cases with low-count MBL frequently harbour 13q deletions. In contrast, high count MBL display the same incidence of chromosomal alterations typically encountered in CLL such as deletions of 11q22, 13q14, 17p13, and trisomy 12.

Chronic lymphocytic leukaemia/small lymphocytic lymphoma (CLL/SLL), is described in detail in a separate manuscript of this special issue.

Splenic B-cell lymphomas/leukaemias

The family/class of splenic B-cell lymphomas/leukaemias encompasses Hairy cell leukaemia, Splenic marginal zone lymphoma, Splenic diffuse red pulp small B-cell lymphoma and Splenic B-cell lymphoma with prominent nucleoli. Hairy cell leukaemia (HCL) is characterized by the BRAFV600E mutation in virtually all cases. Loss of chromosome 7q, affecting BRAF has also been identified, as have somatic variants in CDKN1B, KMT2C, and CCND3 [2]. The most frequent chromosomal alteration in splenic marginal zone lymphoma (SMZL) is 7q deletion, with a minimal deleted region involving 7q31-q32. Trisomy 3 or 3q gains are also detected in a mutually exclusive pattern with 7q deletions. No hallmark rearrangements are observed in SMZL, but some recurrent translocations such as IG::CDK6 have been rarely identified. The most frequently altered genes are KLF2 and genes related to the NOTCH pathway such as NOTCH2, SPEN, NOTCH1 and DTX1 [3]. On the other hand, in splenic diffuse red pulp small B-cell lymphoma, somatic mutations in BCOR, CCND3, MAP2K1, and genes of the NOTCH pathway are frequently identified, but the prevalence of 7q deletion is lower as compared to SMZL [4]. Splenic B-cell lymphoma/leukaemia with prominent nucleoli (SBLPN) of WHO-HAEM5 comprises the former HCL variant (HCLv) of WHO-HAEM4R, cases of CD5 negative B-prolymphocytic leukaemia (B-PLL), and a subset of SMZL. SBLPN lacks the BRAFV600E, but some cases harbour MAP2K1 mutations [5].

Figure 1: Mature B-cell neoplasms, cell of origin and main genetic aberrations. A. B-cell maturations process from the naïve B-cell to memory and plasma B-cell, and their derived B-cell lymphomas. The hallmark translocation and most frequently altered gene or genomic region are included in the box belonging to each entity. Of note, r, denotes rearrangement, genes in brackets are the candidate gene altered by the copy number change; and region/gene indicates that the gene is altered via copy number and/or somatic variants. U, unmutated; M, mutated, CLL, chronic lymphocytic leukaemia; cMCL, conventional mantle cell lymphoma; BL, Burkitt lymphoma; DLBCL-GCB, diffuse large B-cell lymphoma germinal centre subtype; FL, follicular lymphoma; DLBCL-ABC, diffuse large B-cell lymphoma activated subtype; PCM, plasma cell neoplasm; cHL, classical Hodgkin lymphoma; PMBCL, primary mediastinal large B-cell lymphoma; SMZL, splenic marginal zone lymphoma; neg, negative; pos, positive B. The genetic subtypes of DLBCL and the hallmark genetic aberrations of each subtype. Created with BioRender.com
Figure 1:

Mature B-cell neoplasms, cell of origin and main genetic aberrations. A. B-cell maturations process from the naïve B-cell to memory and plasma B-cell, and their derived B-cell lymphomas. The hallmark translocation and most frequently altered gene or genomic region are included in the box belonging to each entity. Of note, r, denotes rearrangement, genes in brackets are the candidate gene altered by the copy number change; and region/gene indicates that the gene is altered via copy number and/or somatic variants. U, unmutated; M, mutated, CLL, chronic lymphocytic leukaemia; cMCL, conventional mantle cell lymphoma; BL, Burkitt lymphoma; DLBCL-GCB, diffuse large B-cell lymphoma germinal centre subtype; FL, follicular lymphoma; DLBCL-ABC, diffuse large B-cell lymphoma activated subtype; PCM, plasma cell neoplasm; cHL, classical Hodgkin lymphoma; PMBCL, primary mediastinal large B-cell lymphoma; SMZL, splenic marginal zone lymphoma; neg, negative; pos, positive B. The genetic subtypes of DLBCL and the hallmark genetic aberrations of each subtype. Created with BioRender.com

Lymphoplasmacytic lymphoma (LPL) is characterized by MYD88 (most of them MYD88L265P variant) and CXCR4 somatic mutations in around 96% and 35% of patients with IgM LPL/Waldenström Macroglobulinemia (WM) [6]. LPL lacking MYD88 mutations are characterized by activating mutations in the NF-κB pathway. CXCR4 mutations are frequently subclonal events. TP53 mutations are rare in LPL/WM but are associated with inferior clinical behaviour. Recurrent deletions in 6q encompassing PLEKHG1, HIVEP2, ARID1B and BCLAF1 have been described in LPL/WG [6].

Marginal zone lymphoma

Extranodal marginal zone lymphoma of mucosa associated lymphoid tissue (EMZL) shows different frequencies of genomic aberrations in the primary sites of origin. The translocations t(11;18)(q21;q21)/BIRC3::MALT1, t(14;18)(q32;q21)/IGH::MALT1 and t(1;14)(p22;q32)IGH::BCL10 are detected in a mutually exclusive pattern, and all of them activate the NF-κB pathway. Gains involving chromosomal regions 3/3q, 18/18q and 6p, and loss of 6q23 (TNFAIP3) are frequent. The landscape of somatic mutations is also depending on the site of origin; e. g. TBL1XR1 mutations are more frequently detected in ocular adnexal lymphomas. Somatic variants in PTPRD and BRAF genes are highly prevalent in nodal marginal zone lymphoma (NMZL). Recurrent somatic variants in KMT2D, NOTCH2, KLF2, TNFRSF14, TET2 and CREBBP have been observed. Paediatric marginal zone lymphoma is characterized by recurrent somatic variants in MAP2K1, TNFRSF14, and IRF8 [7].

Follicular lymphoma

The genetic hallmark of classic follicular lymphoma (cFL) is the translocation t(14;18)(q32;q21)/IGH::BCL2, or its variants, leading to BCL2 overexpression (Figure 2A). Frequent losses of 1p, 6q, 10q/PTEN, 13q, and gains of 1q, 2p, 8q, 12q, and 18q, and trisomies of chromosomes 7, 18 and X have been identified in cFL. The most frequently altered genes in FL are involved in epigenetic and transcriptional regulation (KMT2D, CREBBP, EP300, and EZH2), JAK-STAT and NOTCH signalling (SOCS1, NOTCH1, NOTCH2), immune evasion (TNFRSF14), the BCR/NF-κB pathway (CARD11, TNFAIP3, CD79A, CD79B, and MYD88), and proliferation/apoptosis (BCL2 and TP53) [8]. Of note a subtype of FL with diffuse growth pattern and CD23 expression lacks BCL2 translocation, harbours deletions in 1p36/TNRSF14 and has frequent somatic mutations in STAT6 and TNRFRSF14 [9]. In contrast, paediatric-type follicular lymphoma shows recurrent somatic mutations in the MAPK pathway and the IRF8 gene and absence of BCL2, BCL6, MYC and IRF4 rearrangements[8]. Duodenal-type follicular lymphoma harbours BCL2 translocation and displays somatic mutations in TNFRSF14, EZH2, KMT2D and CREBBP [10].

Mantle cell lymphoma (MCL)

Mantle cell lymphoma (MCL) is characterized by the translocation t(11;14)(q13;q32)/CCND1::IGH, leading to constitutive overexpression of CCND1, a cell cycle regulator (Figure 2A). A small fraction of MCL lacks CCND1 rearrangements but harbours alternative CCND2 or CCND3 rearrangements, frequently involving the IG light chain genes. MCL comprises two molecular subtypes, conventional MCL (cMCL) and leukaemic non-nodal MCL (nnMCL). cMCL are characterized by unmutated IGHV, overexpression of SOX11, and high genomic complexity. In contrast, nnMCL display mutated IGHV, lack expression of SOX11 and have a lower number of genetic alterations. The genomic profile of MCL is characterized by losses in 1p22-p13, 6q, 9p21 (CDKN2A/B), 8p, 9q22-q31, 10p15-p13, 13q14 (RB1), 13q33-q34, 19q, and gains in 3q25-q29, 7p, 8q24 (MYC), 10p12 (BMI), and 13q31 (MIR17HG)[11]. The mutational landscape of MCL is defined by alterations in genes involved in cell cycle control (CCND1, CDKN2A/B, CDK4, and RB1), DNA damage response (TP53, ATM, and MYC), epigenetic modulators (KMT2D, SMARCA4, and NDS2), NOTCH pathway (NOTCH1 and NOTCH2), and NF-κB signalling (BIRC3, NFKBIE, and TNFAIP3)[11]. Importantly, differences in the distribution of specific alterations have been identified between cMCL and nnMCL, e. g. loss of 17p/TP53 is enriched in nnMCL, and somatic mutations in ATM, KMT2D, NSD2 have been identified exclusively in cMCL [11].

Figure 2:  Chromosomal alterations in mature B- and T-cell neoplasms. A. Chromosomal alterations observed in specific entities of mature B-cell lymphomas. The rearranged genes are labelled according to the colour design of FISH dual colour dual fusion probes for the translocations t(14;18), t(11;14) and t(8;14), FISH break-apart probes for the loci MYC, BCL2, BCL6 and IRF4, and locus specific FISH probes for the 11q aberrations. B. Chromosomal rearrangements detected in entities of T-cell neoplasms. The rearranged genes are labelled based on the colour design of FISH break-apart probes for the loci TCL1A, TRA, ALK, TP63 and DUSP22. For the inv(14), t(14;14) and t(X;14), the genomic rearrangements and the derivative chromosomes generated from the chromosomal rearrangements are represented. Created with BioRender.com.
Figure 2:

Chromosomal alterations in mature B- and T-cell neoplasms. A. Chromosomal alterations observed in specific entities of mature B-cell lymphomas. The rearranged genes are labelled according to the colour design of FISH dual colour dual fusion probes for the translocations t(14;18), t(11;14) and t(8;14), FISH break-apart probes for the loci MYC, BCL2, BCL6 and IRF4, and locus specific FISH probes for the 11q aberrations. B. Chromosomal rearrangements detected in entities of T-cell neoplasms. The rearranged genes are labelled based on the colour design of FISH break-apart probes for the loci TCL1A, TRA, ALK, TP63 and DUSP22. For the inv(14), t(14;14) and t(X;14), the genomic rearrangements and the derivative chromosomes generated from the chromosomal rearrangements are represented. Created with BioRender.com.

Transformations of indolent B-cell lymphomas

Although the genomic profile of transformed indolent B-cell lymphomas is partially defined by the specific genomic alterations of the preceding indolent lymphoma, there are key genes that are commonly altered and associated with the transformation. These genes are mainly affecting the proliferation and survival pathways (MYC rearrangement or amplification, CDKN2A/B deletions, TP53 deletions/mutations), and NF-κB (TNFAIP3 deletions/mutations).

Large B-cell lymphomas

Diffuse large B-cell lymphoma (DLBCL), NOS, comprises two molecular subtypes based on gene expression profiling, germinal center B-cell like (GCB) and activated B-cell like (ABC), reflecting their different cell of origin. These subtypes are associated with different genomic alterations and clinical behaviour. IGH, BCL2, BCL6 and MYC rearrangements are detected in approximately 40%, 20%, 20–40% and 10% of the cases, respectively (Figure 2A) In the case of MYC translocations, deregulation can occur through juxtaposition to an enhancer element of an IG locus (IG::MYC) but also regulatory elements of other genes (non-IG::MYC). BCL2 rearrangements mostly involve an IG locus, predominately IGH, as partner and is mainly caused by an aberrant VDJ rearrangement. In contrast, alterations of the BCL6 locus are quite promiscuous and enhancer hijacking can involve a large number of partners. MYC and BCL6 alterations are seen in both subtypes while BCL2 rearrangements are frequently translocated in GCB subtype. The ABC subtype is characterized by gains of 3/3q, 18/18q21 (BCL2), 19q13 (SPIB), and losses of 6q23 (TNFAIP3) and 9p21 (CDKN2A/2B), and somatic variants affecting PIM1, MYD88L265P, and CD79B. The GCB subtype is defined by gains of 2p16/REL and 13q32/MIR17HG, trisomies of chromosomes 7 and 12, deletions of 1p36/TNFRSF14 and 10q23/PTEN, and somatic variants in TNFRSF14, SOCS1, EZH2[12]. This molecular subclassification, however, only incompletely captures the molecular heterogeneity of DLBCL. Consequently, more recent large scale molecular studies described 5 to 6 genetic subgroups: i) BN2/C1/BCL6-like; ii) EZB/C3/BCL2-like; iii) MCD/C5/MYD88-like; iv) C2/A53/TP53-like; v) C4/ST2; vi) N1 (Figure 1B) [12, 13].

Diffuse large B-cell lymphoma/high grade B-cell lymphoma with MYC and BCL2 rearrangements (DLBCL/HGBL-MYC/BCL2). Concomitant MYC and BCL2 translocations are the genetic hallmark of this entity. An IG locus is the MYC partner in 50% of the cases, the most common being t(8;14)(q24;q32)/IGH::MYC. The mutational profile of these lymphomas is characterized by somatic variants in genes commonly altered both in FL and transformed lymphomas or Burkitt lymphoma (BL) such as CREBBP, KMT2D, EZH2, SI, TNFRSF14, BCL2, MYC, CCND3 and TP53 [14, 15].

Large B-cell lymphoma with IRF4 rearrangement (LBCL-IRF4) is defined by an IRF4 rearrangement, the most frequent being t(6;14)(p25;q32)/IRF4::IGH (Figure 2A). Less frequently, IRF4 is rearranged with one of the IG light chain genes. In some cases, a BCL6 rearrangement can be detected in addition, whereas MYC or BCL2 translocations are absent. Mutations in IRF4 and alterations in NF-κB related genes (CARD11, CD79B, and MYD88) have been described [16].

High-grade B-cell lymphoma with 11q aberrations is characterized by a gain of 11q23.2-q23.3 and a loss (or copy number neutral loss of heterozygosity in occasional cases) of 11q24.1-qter (Figure 2A). The cases display morphological and immunophenotypic features similar to BL, but the genetic profile is distinct. MYC translocations are by definition absent and no rearrangements of BCL2 nor BCL6 are identified. Somatic variants in BTG2, DDX3X, ETS1, EP300, NFRKB and GNA13 have been detected [17, 18].

Primary large B-cell lymphoma of immune-privileged sites represents a new umbrella entity in WHO-HAEM5. It includes primary DLBCL of the central nervous system (CNS), the vitreoretinal compartment, and the testes of immunocompetent patients. Tumours in this umbrella category are characterized by a similar high prevalence of somatic variants in PIM1, MYD88L265P, and CD79B. Furthermore, genomic alterations in genes involved in immune evasion, such as rearrangements in the PD-L1/PD-L2 loci (9p24), and loss of HLA loci (6p21), and DNA damage, CDKN2A/B(9p21) are key players [19]. The genomic landscape of this entity corresponds to molecular subgroups MCD/C5 [12]. Notwithstanding this, various mutational processes contribute to the pathogenesis of primary DLBCL of the CNS [20, 21].

Primary mediastinal large B-cell lymphoma (PMBCL) is characterized by activation of JAK-STAT and NF-κB signalling pathways. JAK-STAT is activated via activation of IL13, loss of function mutations in SOCS1 and PTPN1, and gain of function mutations in STAT6 and IL4R. The NF-κB pathway is altered via gains in 2p16.1/REL and inactivating mutations of negative regulators such as TNFAIP3 or NFKBIE [22]. In addition, genetic alterations involve genes related to immune evasion such as PD-L1/PD-L2, CD58, B2M, CD274 and CIITA. The genetic profile is in proximity to classic Hodgkin lymphoma.

Mediastinal gray zone lymphoma (MGZL) displays characteristics intermediate between PMBCL and classic Hodgkin lymphoma (CHL). MGZL is characterized by somatic variants in SOCS1, B2M, TNFAIP3, GNA13, LRRN3 and NFKBIA[23]. This mutational profile is specific of the thymic niche and different from morphologically similar tumours arising in extra-mediastinal regions. A BCL2 rearrangement is present in only 6% of the cases and BCL6 translocations are virtually absent.

High-grade B-cell lymphoma, NOS (HGBL, NOS) is a biologically heterogenous entity. MYC translocations are identified in 50% of the cases, whereas BCL2 (without MYC translocation by definition) and BCL6 rearrangements are less prevalent. No specific mutational profile has been identified in these patients, although somatic variants in genes altered in BL such as ID3, CCND3 and MYC or genes altered in DLBCL, NOS including CREBBP and BCL2 have been reported [24].

Burkitt lymphoma

A MYC rearrangement is the hallmark aberration in BL leading to MYC overexpression. The translocation t(8;14)(q24;q32)/IGH::MYC is present in approximately 80% of the patients (Figure 2A), and, less frequently, MYC is rearranged with the IG light chain loci [25]. Deregulation of the ID3-TCF3 axis is highly specific of BL. ID3 and TCF3 alterations are detected in 10–20% and 50–60% of the patients, respectively. Additional somatic variants detected in BL affect MYC, CCND3, TP53, SMARCA4, and GNA13 genes. Overall, four pathways are altered in BL, BCR signalling, proliferation and survival, sphingosine-1-phosphate signalling, and SWI-SNF chromatin remodelling [25]. Recent molecular studies support the idea to subclassify BL based on EBV status rather than the traditional epidemiological variants. EBV-BL is characterized by a high frequency of ID3, TCF3 and CCND3 somatic alterations whereas EBV+ BL is defined by a higher number of somatic variants and increased PI3K activity [26]. BL may occur in paediatric and adult patients and a recent study reported that genomic alterations such as ID3, DDX3X, ARID1A, and SMARCA4 were more frequent in paediatric patients whereas BCL2 and YY1AP1 have been reported to be particularly altered in adult patients [27].

Hodgkin lymphoma (HL)

Hodgkin lymphoma (HL) is divided in two main forms, classic Hodgkin lymphoma (cHL) and nodular lymphocyte predominant Hodgkin lymphoma (NLPHL). Both forms show dysregulation of the JAK-STAT pathway (STAT6, STAT3, JAK1/2, SOCS1), NF-κB (TNFAIP3), and immune evasion pathways (PDL1/2, B2M, ETV6, and CIITA) [28]. Nevertheless, NLPHL shows also aberrations common in other B-cell lymphomas, like BCL6 rearrangements.

Plasma cell neoplasms and other diseases with paraprotein are described in detail in another manuscript of this special issue.

T-cell and NK-cell lymphomas

T-cell and NK-cell lymphoproliferations and lymphomas are organized in 8 families in WHO-HAEM5. Figure 3A provides an overview on genetic alterations in different entities of T-cell lymphomas in WHO-HAEM5.

Mature T-cell and NK-cell leukaemias

Chromosomal rearrangements involving 14q11 in T-Prolymphocytic leukaemia (T-PLL) deregulate TCL1A due to a TRA::TCL1A rearrangement (Figure 2B). In a small subsets of T-PLL TCL1A is substituted by MTCP1 on chromosome X; in addition, T-PLL is often characterized by mutations and/or deletions of ATM, EZH2, FBXW10 and CHEK2 genes [29]. T-large granular-lymphocytic leukaemia (T-LGLL) is characterized by recurrent STAT5B mutations and other recurrently altered genes such as TET2, TNFAIP3, BCL11B, FLT3 und PTPN23 [30]. NK-large granular lymphocytic leukaemia, in contrast, shows activating mutations of STAT3, TET2 and CCL22. Adult T-cell leukaemia/lymphoma (ATLL), next to its classical association with HTLV-1, shows a plethora of activating mutations such as PLCG1, PRKCB and CARD11 among others and, notably, also structural variations of PD-L1 [31]. Sezary syndrome characteristically displays a high mutational burden inferred by UV-induced damage and mutations affecting TCR-signalling, chromatin-modifier, and DNA-damage-response pathways. Finally, aggressive NK-cell leukaemia is characterized by mutations in genes affecting cell signalling, histone modifying molecules and immune checkpoint molecules.

Figure 3: Main genetic aberrations in T/NK-cell malignancies and ALK rearrangements in Anaplastic large cell lymphomas. A. The mature subgroup of T/NK-cell malignancies is divided into leukaemic, nodal and extranodal. The most frequently altered genes or genomic regions are included in the box belonging to each entity. T-PLL, T-Prolymphocytic leukaemia; T-LGLL, T-large granular-lymphocytic leukaemia; NK-LGLL, NK-large granular lymphocytic leukaemia; ATLL, Adult T-cell leukaemia/lymphoma; nTFH, Nodal T-follicular helper; PTCL-NOS; peripheral T-cell lymphomas not otherwise specified; ALCL, Anaplastic large cell lymphoma; CTCL, Cutaneous T-cell lymphoma; BIA-ALCL, Breast implant-associated ALCL; HTCL, Hepatosplenic T-cell lymphoma; EATL, Enteropathy-associated T-cell lymphoma; MEITL, monomorphic epitheliotropic intestinal T-cell lymphoma; ENKT, extranodal NK/T-cell lymphoma. B. Staining of ALK using immunohistochemistry showed a large proportion of ALK positive cells. C. Fluorescence in situ hybridisation using an ALK break-apart probe. A cell without break is shown on the left and an ALK-positive cell on the right, showing one fusion signal (green & red signals) corresponding to the unarranged allele, and one green and one red signal indicating a break in ALK gene.
Figure 3:

Main genetic aberrations in T/NK-cell malignancies and ALK rearrangements in Anaplastic large cell lymphomas. A. The mature subgroup of T/NK-cell malignancies is divided into leukaemic, nodal and extranodal. The most frequently altered genes or genomic regions are included in the box belonging to each entity. T-PLL, T-Prolymphocytic leukaemia; T-LGLL, T-large granular-lymphocytic leukaemia; NK-LGLL, NK-large granular lymphocytic leukaemia; ATLL, Adult T-cell leukaemia/lymphoma; nTFH, Nodal T-follicular helper; PTCL-NOS; peripheral T-cell lymphomas not otherwise specified; ALCL, Anaplastic large cell lymphoma; CTCL, Cutaneous T-cell lymphoma; BIA-ALCL, Breast implant-associated ALCL; HTCL, Hepatosplenic T-cell lymphoma; EATL, Enteropathy-associated T-cell lymphoma; MEITL, monomorphic epitheliotropic intestinal T-cell lymphoma; ENKT, extranodal NK/T-cell lymphoma. B. Staining of ALK using immunohistochemistry showed a large proportion of ALK positive cells. C. Fluorescence in situ hybridisation using an ALK break-apart probe. A cell without break is shown on the left and an ALK-positive cell on the right, showing one fusion signal (green & red signals) corresponding to the unarranged allele, and one green and one red signal indicating a break in ALK gene.

Primary cutaneous T-cell lymphomas

The genetic constitution of Cutaneous T-cell neoplasms is highly variable, reflecting their highly variable clinical presentation and morphological features. More recent literature has identified rearrangements of the DUSP22-IRF4 locus in a small subset of lymphomatoid papulosis cases, originally described as a characteristic of nodal ALK-negative anaplastic large cell lymphoma.

Intestinal T-cell and NK-cell lymphoid proliferations and lymphomas

Enteropathy-associated T-cell lymphoma (EATL) and monomorphic epitheliotropic intestinal T-cell lymphoma (MEITL) represent distinct entities, the former being strongly associated with celiac disease. Their genetic features are similar, however not identical, with amplifications of 9q34 and deletions at 16q12 seen in a high proportion of EATL, as are activating mutations in JAK1 and STAT3. Loss-of-function mutations in TNFAIP3 result in NF-kB activation [32]. In MEITL, next to JAK-STAT deregulation, mutations of SETD2, a histone-lysin 36 methyltransferase obviously is crucial for disease initiation and propagation. Indolent T-cell-lymphoma of the gastrointestinal tract (GIT) harbours mutations in epigenetic modifying genes such as TET2 and KMT2D, recurrent STAT3::JAK2 fusions and structural alterations of the IL2 gene; interestingly, these alterations are found in different frequencies in CD4-positive and CD8-positive (or double negative) subsets. The finding of recurrent mutations in JAK3 and other genes has built evidence that Indolent NK-cell lymphoproliferation (NKLPD) of the GIT is a neoplastic disease, however, basing on its generally indolent clinical course, this disease has been named “lymphoproliferative disorder” and not “lymphoma”.

Hepatosplenic T-cell lymphoma

This lymphoma shows a prototypic isochromosome 7q which forms the basis of the overexpression of CHN2, ABCB1 and other genes. Several mutations in genes of the JAK-STAT pathway and/or epigenetic modifier genes have been described.

Anaplastic large cell lymphoma

Anaplastic large cell lymphoma (ALCL) denotes a group of mature T-cell lymphomas that are similar in their cytomorphology and immunophenotype but clinically and genetically heterogeneous (Figure 2B). ALCL showing rearrangements in 2p23, the location of the ALK gene, constitute 50 % of tumours (Figure 3B-C). In the translocations, more than 20 partner genes are involved deregulating ALK expression, the most frequent one being NPM1 involved in the t(2;5)(p23;q35) [33]. Constitutive activation of the tyrosine kinase ALK activates several signalling pathways including PI3K/AKT, mTOR, JAK-STAT3 and STAT5B. In contrast, ALK-negative ALCL feature rearrangements of the DUSP22 and TP63 genes in around 30% and 5% of cases, respectively. These oncogenic fusions involving tyrosine kinase genes other than ALK also lead to STAT3 activation; transcription factors such as IRF4 and MYC have been shown to be essential for the survival of ALCL cells [33]. Breast implant-associated ALCL (BIA-ALCL) occurs approximately 10 years after implant placement and generally runs an indolent clinical course, especially if the lymphoma cells are confined to the peri-implant space and/or occur as an effusion. Although the mutational landscape of BIA-ALCL is not fully elucidated, activating somatic mutations have been described in STAT3, STAT5B, JAK1 and JAK2 and loss of function mutations in SOCS1 and SOCS3 pointing to the importance of activation of the JAK/STAT pathway also in this disease.

Nodal T-follicular helper (TFH) cell lymphoma

An important new concept is the creation of an umbrella entity of nodal T-follicular helper cell lymphomas (nTFH lymphomas) encompassing nTFH-angioimmunoblastic-type, nTFH-follicular-type and nTFH-NOS that have different morphological features but in common a derivation from nodal helper T-cells of the reactive germinal center and an expression of TFH-associated immunophenotypic markers such as PD-1, ICOS, CXCL13, CD10, BCL6 and others[34]. Of importance, the gene expression profiles of these three nTFH-types are remarkably similar, as is their mutational landscape featuring mutations in TET2, DNMT3A, IDH2 and RHOA, albeit at differing frequencies. Of importance, TET2 and DNMT3A mutations have been shown to arise in myeloid precursor cells and are classical components of the concept of clonal haematopoiesis, whereas IDH2 and RHOA formation has been shown to occur in somatic, T-cell – committed – tumour cells, thus linking clonal haematopoiesis with T-cell lymphomagenesis.

Peripheral T-cell lymphomas, NOS

The genetic landscape of peripheral T-cell lymphomas (PTCL), NOS, is heterogeneous. Gene expression profiling studies have identified two molecular subtypes, PTCL-GATA3 and PTCL-TBX21, and these subtypes do also differ in their genetic landscapes with 9p, 10p and 17p deletions mainly occurring in PTCL-GATA3 and PTCL-TBX21 harbouring frequently mutations in epigenetic regulators such as TET2 and DNMT3A.

EBV-positive NK/T-cell lymphomas

Among the classically EBV-positive T-cell and NK-cell lymphomas, extranodal NK/T-cell lymphoma is frequently arising – as the name implies – in extranodal sites such as the nasal cavity and the paranasal sinuses, but also in the skin, GIT, testis and other locations. It is characteristically associated with deletions in 6q21-25 harbouring several tumour suppressor genes such as PRDM1 and others and features recurrent mutations in JAK-STAT pathway genes, epigenetic regulators, tumour suppressor genes (such as TP53) and RNA helicases. In contrast, EBV-positive nodal T-cell and NK-cell lymphoma is a nodal neoplasm mainly diagnosed in Asian patients and often shows mutations in TET2, PIK3CD, DDX3X and STAT3[35].

EBV-positive T-and NK-cell lymphoid proliferations and lymphomas of childhood

The family of EBV-positive T-cell- and NK-cell lymphoid proliferations and lymphomas of childhood represents a group of uncommon disorders characterized by EBV-infection of T- and NK-cells and shows variable clinical features ranging from indolent and localized forms to systemic disease characterized by constitutional symptoms and high clinical aggressiveness. The genetic landscape of these diseases has been incompletely characterized. Somatic mutations have been identified in DDX3X (e. g. in severe mosquito bite allergy suggesting that this is a neoplastic disease) and in systemic chronic active EBV disease [36].

Conclusions

Genetic data can be helpful or are occasionally even essential in the diagnosis of, and sometimes highly relevant in treatment decisions in haematological malignancies (Table 1). The identification of specific chromosomal rearrangements using gold standard techniques such as conventional cytogenetics and molecular cytogenetics (FISH) are essential to identify hallmark aberrations specific to some subtypes of mature lymphomas, such as t(8;14)/IGH::MYC translocation in BL. Besides, NGS technologies have been important to identify somatic variants crucial in a subset of entities and defining new target vulnerabilities. Taken together, the identification of genetic alterations in mature B- and T-cell lymphomas have impact in the diagnosis, risk stratification, and ultimately clinical management, of the patients.

Table 1:

Clinical relevance of genetic alterations in mature B and T-cell neoplasms

Entities

Genetic alterations

Clinical relevance

Mature B-cell lymphomas

Splenic B-cell lymphomas and leukaemias

Hairy cell leukaemia (HCL)

BRAFV600E mutation

Appropriate for diagnosis

Splenic marginal zone lymphoma (SMZL)

del(7q), +3, +18

KLF2, NOTCH2, SPEN, NOTCH1,

DTX1 mutations

Useful to support diagnosis

Splenic diffuse red pulp small B-cell lymphoma (SDRPL)

BCOR, CCND3, MAP2K1 mutations

Useful to support diagnosis

Splenic B-cell lymphoma/leukaemia with prominent nucleoli (SBLPN)

MAP2K1 mutation

Associated with SBLPN or HCL variant, useful to support diagnosis

Lymphoplasmacytic lymphoma

Lymphoplasmacytic lymphoma (LPL)

del(6q)

Useful to support diagnosis

CXCR4 mutations

Associated with resistance to ibrutinib treatment

MYD88 (mainly MYD88L265P) mutations

Appropriate for diagnosis

TP53 mutations

Associated with inferior clinical behaviour

Marginal zone lymphoma

Extranodal marginal zone lymphoma of mucosa associated lymphoid tissue (EMZL)

BIRC3, BCL10 rearrangements

Gains 3/3q, 18/18q, 6p

Loss of 6q23 (TNFAIP3)

TBL1XR1 mutations

Useful to support diagnosis

MALT1 rearrangements

Associated with lack of response to antibiotic treatment in Helicobacter pylori-positive gastric EMZL

Nodal marginal zone lymphoma (NMZL)

+3, +8

KLF2, NOTCH2, PTPRD, BRAF mutations

Useful to support diagnosis

Paediatric marginal zone lymphoma

MAP2K1, TNFRSF14, IRF8 mutations

Useful to support diagnosis

Follicular lymphoma

Classic Follicular lymphoma (cFL)

IG::BCL2 translocation

Appropriate for diagnosis and useful for differential diagnosis of BCL2 rearrangements negative FL

EZH2 mutations

Useful to predict response to EZH2 inhibition (e. g. Tasemetostat)

Paediatric-type follicular lymphoma

No BCL2 rearrangements

Appropriate for diagnosis and useful for differential diagnosis of BCL2 rearrangements positive FL (cFL)

MAP2K1, TNFRSF14, IRF8 mutations.

Useful to support diagnosis

Duodenal-type follicular lymphoma

IG::BCL2 translocation

Appropriate for diagnosis

TNFRSF14, EZH2, KMT2D and CREBBP mutations

Useful to support diagnosis

Mantle cell lymphoma

Mantle cell lymphoma

IG::CCND1 translocation

Appropriate for diagnosis

CCND2 and CCND3 rearrangements

Appropriate for diagnosis in CCND1 negative MCL tumors

Loss 17p/TP53 mutations

Associated with inferior clinical behaviour

Non-nodal mantle cell lymphoma (nnMCL)

Loss 17p/TP53 mutations

Useful to support diagnosis, enriched in nnMCL subtype

Conventional mantle cell lymphoma (cMCL)

ATM, KMT2D, NSD2 mutations

Useful to support diagnosis, exclusively in cMCL subtype

Large B-cell lymphomas

Diffuse large B-cell lymphoma, NOS (DLBCL-NOS)

MYC, BCL2, BCL6 rearrangements

Cases with dual MYC and BCL6 translocations as a genetic subtype of DLBCL, NOS

Appropriate for diagnosis and useful for differential diagnosis of DLBCL/HGBL-MYC/BCL2

DLBCL, NOS GCB subtype

Gains 2p16/REL, 13q32/MIR17HG

Losses 1p36/TNFRSF14, 10q23/PTEN

TNFRSF14, SOCS1, EZH2 mutations

Useful to support diagnosis, enriched in DLBCL GCB subtype

DLBCL, NOS ABC subtype

Gains 3/3q, 18/18q21 (BCL2), 19q13/SPIB

Losses 6q23/TNFAIP3, 9p21/CDKN2A/B

PIM1, MYD88L265P, and CD79B mutations

Useful to support diagnosis, enriched in DLBCL ABC subtype

Diffuse large B-cell lymphoma/high grade B-cell lymphoma with MYC and BCL2 rearrangements (DLBCL/HGBL-MYC/BCL2)

By definition dual MYC and BCL2, rearrangements. BCL6 can be translocated or not.

Appropriate for diagnosis and useful for differential diagnosis of DLBCL, NOS

Large B-cell lymphoma with IRF4 rearrangement (LBCL-IRF4)

IRF4 rearrangement

(IRF4 mutations)

Rearrangements appropriate for diagnosis and mutations useful to support diagnosis in cases of IRF4 cryptic translocation

No MYC and BCL2 rearrangements

Appropriate for diagnosis and useful for differential diagnosis of DLBCL, NOS

High-grade B-cell lymphoma with 11q aberrations (HGBL-11q)

Gain 11q23.2-q23.3

Loss or CN-LOH 11q24.1-qter

Appropriate for diagnosis and useful for differential diagnosis of BL with cryptic MYC translocation

No BCL6, MYC, BCL2 rearrangements

Appropriate for diagnosis and useful for differential diagnosis of other mature B-cell lymphomas (e. g. BL, HGBL, NOS)

BTG2, DDX3X, ETS1, EP300, NFRKB, GNA13 mutations

Useful to support diagnosis

EBV positive diffuse large B-cell lymphoma

Mutations in CCR6, CCR7, DAPK1, TNFRSF21, CSNK2B  and  YY1.

6q deletions (PRDM1 and TNFAIP3). 

Appropriate for diagnosis and useful for differential diagnosis of other EBV-associated LBCL

Primary large B-cell lymphoma of immune-privileged sites

Gain or rearrangement PD-L1/PD-L2

Losses 6p21 (HLA), 9p21 (CDKN2A/B)

PIM1, MYD88L265P, and CD79B

Useful to support diagnosis

Primary mediastinal large B-cell lymphoma (PMBCL)

Gains or rearrangement

PDL1/PDL2, CD274

Losses or mutations CD58, B2M, CIITA

STAT6, IL4R, TNFAIP3, NFKBIE mutations

Useful to support diagnosis

Mediastinal gray zone lymphoma (MGZL)

SOCS1, B2M, TNFAIP3, GNA13, LRRN3 and NFKBIA mutations

Useful to support diagnosis

No BCL6 rearrangement

Useful to support diagnosis

High-grade B-cell lymphoma, NOS (HGBL, NOS)

MYC, BCL2, BCL6 rearrangements.

By definition no dual MYC and BCL2 translocations. Cases with dual MYC and BCL6 translocations as a genetic subtype

Appropriate for diagnosis

Burkitt lymphoma

Burkitt lymphoma (BL)

IG::MYC translocation

Appropriate for diagnosis and useful for differential diagnosis of HGBL with 11q aberration

No BCL2, BCL6 rearrangements

Appropriate for diagnosis and useful for differential diagnosis of HGBL, NOS and HGBL/MYC/BCL2

ID3 and TCF3 mutations

Useful to support diagnosis and for BL with cryptic MYC translocation

Hodgkin lymphoma

Classic Hodgkin lymphoma (cHL) and nodular lymphocyte predominant Hodgkin lymphoma (NLPHL)

Gains or rearrangement

PD-L1/PD-L2

Useful for treatment with PD1 inhibitor in relapse/refractory cHL

Mature T-cell lymphoma

Mature T-cell and NK-cell leukaemia

T-prolymphocytic leukaemia/ lymphoma: (T-PLL), NOS

inv(14) or t(14;14) /TRA::TCL1

t(X;14)/MTCP1::TRA

Appropriate for diagnosis

T-large granular lymphocytic leukaemia (T-LGLL)

STAT5B mutations

Useful for diagnosis

NK-large granular lymphocytic leukaemia (NK-LGLL)

TET2 and CCL22 mutations

Useful for diagnosis

STAT3 mutations

Associated with neutropenia

Adult T-cell leukaemia/lymphoma

PLCG1 and CARD11 mutations

Useful for diagnosis

TP53 and PRKBC mutations

Associated with inferior clinical behaviour

Intestinal T-cell and NK-cell lymphoid proliferations and lymphomas

Enteropathy-associated T-cell lymphoma (EATL)

Amplification 9q34

Loss 16q12

Appropriate for diagnosis

JAK1, STAT3, TNFAIP3 mutations

Useful for diagnosis

Monomorphic epitheliotropic intestinal T-cell lymphoma (MEITL)

SETD2 mutations

Useful for diagnosis

Indolent T-cell-lymphoma of the gastrointestinal tract (GIT)

STAT3::JAK2

TET2, KMT2D mutations

Useful for diagnosis

Indolent NK-cell lymphoproliferation (NKLPD) of the GIT

JAK3 mutations

Useful for diagnosis

Hepatosplenic T-cell lymphoma

Hepatosplenic T-cell lymphoma (HSTCL)

i(7q)

Useful for diagnosis

Anaplastic large cell lymphoma

ALK-positive anaplastic large cell lymphoma (ALK+ ALCL)

ALK rearrangements

Appropriate for diagnosis and useful for ALK inhibitors treatment

ALK-negative anaplastic large cell lymphoma (ALK– ALCL)

No ALK rearrangements

Appropriate for diagnosis and useful for differential diagnosis of ALK-positive ALCL

DUSP22-IRF4, TP63 rearrangements

Useful for diagnosis and treatment option (e. g. less intensive in DUSP22 rearrangement ALK-negative ALCL)

Nodal T-follicular helper (TFH) cell lymphoma

Nodal TFH cell lymphoma(nTFH), angioimmunoblastic-type, nTFH, follicular type, nTFH, NOS

TET2, DNMT3A, IDH2 and RHOA mutations

Useful for diagnosis

Peripheral T-cell lymphomas, NOS

Peripheral T-cell lymphomas, NOS, PTCL-GATA3 subtype

Losses 9p, 10p, 17p

Appropriate for diagnosis

Peripheral T-cell lymphomas, NOS, PTCL-TBX21 subtype

TET2, DNMT3A mutations

Appropriate for diagnosis

EBV-positive NK/T-cell lymphomas

EBV-positive nodal T- and NK-cell lymphoma

TET2, PIK3CD, DDX3X and STAT3 mutations

Appropriate for diagnosis

EBV-positive Extranodal NK/T-cell lymphoma

Loss 6q21-q25

Appropriate for diagnosis

CN-LOH, copy neutral loss of heterozygosity; inv, inversion; t, translocation; I, isochromosome


Affiliations

1Molecular Pathology Laboratory, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain

2Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain

3Fonaments Clínics, Universitat de Barcelona, Barcelona, Spain

4Institute of Human Genetics, Ulm University Medical Center, Ulm University, Ulm, Germany

5Institute of Pathology, University of Würzburg, Würzburg, Germany

6Department of Clinical Pathology, Robert-Bosch-Hospital, Stuttgart, Germany


About the authors

Cristina López PhD 1,2,3

Cristina López, PhD

Dr. rer. nat. Anja Fischer 4

Dr. rer. nat. Anja Fischer

Prof. Dr. med. Andreas Rosenwald 5

Prof. Dr. med. Andreas Rosenwald

Prof. Dr. med. Reiner Siebert 4

Prof. Dr. med. Reiner Siebert

Prof. Dr. med. German Ott 6

Prof. Dr. med. German Ott

Dr. rer. nat. Katrin S. Kurz 6

Dr. med. Katrin S. Kurz

Acknowledgements

The study was supported by Beatriu de Pinós grant from Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya and by Marie Sklodowska-Curie COFUND program from H2020 (2018-BP-00055 to C.L.), by the Deutsche Forschungsgemeinschaft (DFG) through SFB1074 (project B9), by BMBF within TRANSCAN. 2 ERA-NET (Euro TCLym Study, grant 01KT1907), by European Union’s Horizon 2020 project “On the road to excellence in unravelling the (epi)genetic landscape of hematologic neoplasm” (grant 952304), and by the Robert-Bosch-Stiftung, Stuttgart, Germany.

  1. Acknowledgments: We are grateful to Marta Grau for help in the preparation of the figures

  2. Research funding: CL is supported by postdoctoral Beatriu de Pinós grant from Secretaria d’Universitats I Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya and by Marie Sklodowska-Curie COFUND program from H2020 (2018-BP-00055). RS is supported by the Deutsche Forschungsgemeinschaft (DFG) through SFB1074 (project B9), by BMBF within TRANSCAN-2/ERA-NET (Euro TCLym Study, grant 01KT1907) and by European Union’s Horizon 2020 project “On the road to excellence in unravelling the (epi)genetic landscape of hematologic neoplasm” (grant 952304).

  3. Author contributions: CL, AR, RS, GO, KSK wrote the chapters of B-cell lymphomas, AF, AR, RS, GO, KSK wrote the chapters of T-cell lymphomas. CL designed and performed figures 1 and 2. AF, KSK designed and performed figure 3. All authors reviewed and approved the final version of the manuscript.

  4. Competing interests: Authors state no conflicts of interest.

  5. Informed consent: Not applicable

  6. Ethical approval: The local Institutional Review Board deemed the study exempt from review.

References

[1] Alaggio R, Amador C, Anagnostopoulos I, et al (2022) The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Lymphoid Neoplasms. Leukemia 36:10.1038/s41375-022-01694-ySearch in Google Scholar PubMed PubMed Central

[2] Durham BH, Getta B, Dietrich S, et al (2017) Genomic analysis of hairy cell leukemia identifies novel recurrent genetic alterations. Blood 130:1644–164810.1182/blood-2017-01-765107Search in Google Scholar PubMed PubMed Central

[3] Bonfiglio F, Bruscaggin A, Guidetti F, et al (2022) Genetic and phenotypic attributes of splenic marginal zone lymphoma. Blood 139:732–74710.1182/blood.2021012386Search in Google Scholar PubMed

[4] Jallades L, Baseggio L, Sujobert P, et al (2017) Exome sequencing identifies recurrent BCOR alterations and the absence of KLF2, TNFAIP3 and MYD88 mutations in splenic diffuse red pulp small B-cell lymphoma. Haematologica 102:1758–176610.3324/haematol.2016.160192Search in Google Scholar PubMed PubMed Central

[5] Waterfall JJ, Arons E, Walker RL, et al (2014) High prevalence of MAP2K1 mutations in variant and IGHV4-34-expressing hairy-cell leukemias. Nat Genet 46:8–1010.1038/ng.2828Search in Google Scholar PubMed PubMed Central

[6] Hunter ZR, Xu L, Yang G, et al (2014) The genomic landscape of Waldenstrom macroglobulinemia is characterized by highly recurring MYD88 and WHIM-like CXCR4 mutations, and small somatic deletions associated with B-cell lymphomagenesis. Blood 123:1637–164610.1182/blood-2013-09-525808Search in Google Scholar PubMed

[7] Salmeron-Villalobos J, Egan C, Borgmann V, et al (2022) A unifying hypothesis for PNMZL and PTFL: morphological variants with a common molecular profile. Blood Adv 6:4661–467410.1182/bloodadvances.2022007322Search in Google Scholar PubMed PubMed Central

[8] López C, Mozas P, López-Guillermo A, Beà S (2022) Molecular Pathogenesis of Follicular Lymphoma: From Genetics to Clinical Practice. Hemato 3:595–61410.3390/hemato3040041Search in Google Scholar

[9] Nann D, Ramis-Zaldivar JE, Müller I, et al (2020) Follicular lymphoma t(14;18)-negative is genetically a heterogeneous disease. Blood Adv 4:5652–566510.1182/bloodadvances.2020002944Search in Google Scholar PubMed PubMed Central

[10] Hellmuth JC, Louissaint A, Szczepanowski M, et al (2018) Duodenal-type and nodal follicular lymphomas differ by their immune microenvironment rather than their mutation profiles. Blood 132:1695–170210.1182/blood-2018-03-837252Search in Google Scholar PubMed

[11] Nadeu F, Martin-Garcia D, Clot G, et al (2020) Genomic and epigenomic insights into the origin, pathogenesis, and clinical behavior of mantle cell lymphoma subtypes. Blood 136:1419–143210.1182/blood.2020005289Search in Google Scholar PubMed PubMed Central

[12] Morin RD, Arthur SE, Hodson DJ (2022) Molecular profiling in diffuse large B-cell lymphoma: why so many types of subtypes? Br J Haematol 196:814–82910.1111/bjh.17811Search in Google Scholar PubMed

[13] Hübschmann D, Kleinheinz K, Wagener R, et al (2021) Mutational mechanisms shaping the coding and noncoding genome of germinal center derived B-cell lymphomas. Leukemia 35:2002–201610.1038/s41375-021-01251-zSearch in Google Scholar PubMed PubMed Central

[14] Künstner A, Witte HM, Riedl J, et al (2022) Mutational landscape of high-grade B-cell lymphoma with MYC-, BCL2 and/or BCL6 rearrangements characterized by whole-exome sequencing. Haematologica 107:1850–186310.3324/haematol.2021.279631Search in Google Scholar PubMed PubMed Central

[15] Ennishi D, Jiang A, Boyle M, et al (2019) Double-Hit Gene Expression Signature Defines a Distinct Subgroup of Germinal Center B-Cell-Like Diffuse Large B-Cell Lymphoma. J Clin Oncol 37:190–20110.1200/JCO.18.01583Search in Google Scholar PubMed PubMed Central

[16] Ramis-Zaldivar JE, Gonzalez-Farré B, Balagué O, et al (2020) Distinct molecular profile of IRF4-rearranged large B-cell lymphoma. Blood 135:274–28610.1182/blood.2019002699Search in Google Scholar PubMed PubMed Central

[17] Gonzalez-Farre B, Ramis-Zaldivar JE, Salmeron-Villalobos J, et al (2019) Burkitt-like lymphoma with 11q aberration: a germinal center-derived lymphoma genetically unrelated to Burkitt lymphoma. Haematologica 104:1822–182910.3324/haematol.2018.207928Search in Google Scholar PubMed PubMed Central

[18] Wagener R, Seufert J, Raimondi F, et al (2019) The mutational landscape of Burkitt-like lymphoma with 11q aberration is distinct from that of Burkitt lymphoma. Blood 133:962–96610.1182/blood-2018-07-864025Search in Google Scholar PubMed PubMed Central

[19] Chapuy B, Roemer MGM, Stewart C, et al (2016) Targetable genetic features of primary testicular and primary central nervous system lymphomas. Blood 127:869–8110.1182/blood-2015-10-673236Search in Google Scholar PubMed PubMed Central

[20] Alexandrov LB, Kim J, Haradhvala NJ, et al (2020) The repertoire of mutational signatures in human cancer. Nature 578:94–10110.1038/s41586-020-1943-3Search in Google Scholar PubMed PubMed Central

[21] Radke J, Ishaque N, Koll R, et al (2022) The genomic and transcriptional landscape of primary central nervous system lymphoma. Nat Commun 13:255810.1101/2021.07.30.21261280Search in Google Scholar

[22] Mottok A, Hung SS, Chavez EA, et al (2019) Integrative genomic analysis identifies key pathogenic mechanisms in primary mediastinal large B-cell lymphoma. Blood 134:802–81310.1182/blood.2019001126Search in Google Scholar PubMed

[23] Sarkozy C, Hung SS, Chavez EA, et al (2021) Mutational landscape of gray zone lymphoma. Blood 137:1765–177610.1182/blood.2020007507Search in Google Scholar PubMed

[24] Collinge BJ, Hilton LK, Wong J, et al (2021) Characterization of the genetic landscape of high-grade B-cell lymphoma, NOS-an LLMPP project. Hematol Oncol 39:781–78410.1002/hon.13_2880Search in Google Scholar

[25] López C, Burkhardt B, Chan JKC, et al (2022) Burkitt lymphoma. Nat Rev Dis Primers 8:10.1038/s41572-022-00404-3Search in Google Scholar PubMed

[26] Thomas N, Dreval K, Gerhard DS, et al (2023) Genetic subgroups inform on pathobiology in adult and pediatric Burkitt lymphoma. Blood 141:904–91610.1182/blood.2022016534Search in Google Scholar PubMed PubMed Central

[27] Burkhardt B, Michgehl U, Rohde J, et al (2022) Clinical relevance of molecular characteristics in Burkitt lymphoma differs according to age. Nature Communications 2022 13:1 13:1–1210.1038/s41467-022-31355-8Search in Google Scholar PubMed PubMed Central

[28] Tiacci E, Ladewig E, Schiavoni G, et al (2018) Pervasive mutations of JAK-STAT pathway genes in classical Hodgkin lymphoma. Blood 131:2454–246510.1182/blood-2017-11-814913Search in Google Scholar PubMed PubMed Central

[29] Schrader A, Crispatzu G, Oberbeck S, et al (2018) Actionable perturbations of damage responses by TCL1/ATM and epigenetic lesions form the basis of T-PLL. Nat Commun 9:69710.1038/s41467-017-02688-6Search in Google Scholar PubMed PubMed Central

[30] Coppe A, Andersson EI, Binatti A, et al (2017) Genomic landscape characterization of large granular lymphocyte leukemia with a systems genetics approach. Leukemia 31:1243–124610.1038/leu.2017.49Search in Google Scholar PubMed PubMed Central

[31] El-Sharkawi D, Attygalle A, Dearden C (2022) Mature T-Cell leukemias: Challenges in Diagnosis. Front Oncol 12:77706610.3389/fonc.2022.777066Search in Google Scholar PubMed PubMed Central

[32] Lee G, Ryu HJ, Choi JW, et al (2019) Characteristic gene alterations in primary gastrointestinal T- and NK-cell lymphomas. Leukemia 33:1797–183210.1038/s41375-018-0309-4Search in Google Scholar PubMed PubMed Central

[33] Tsuyama N, Sakamoto K, Sakata S, et al (2017) Anaplastic large cell lymphoma: pathology, genetics, and clinical aspects. J Clin Exp Hematop 57:120–14210.3960/jslrt.17023Search in Google Scholar PubMed PubMed Central

[34] Hathuc V, Kreisel F (2022) Genetic Landscape of Peripheral T-Cell Lymphoma. Life (Basel) 12:10.3390/life12030410Search in Google Scholar PubMed PubMed Central

[35] Montes-Mojarro IA, Fend F, Quintanilla-Martinez L (2021) EBV and the Pathogenesis of NK/T Cell Lymphoma. Cancers 2021, Vol 13, Page 1414 13:141410.3390/cancers13061414Search in Google Scholar PubMed PubMed Central

[36] Pillai V, Tallarico M, Bishop MR, Lim MS (2016) Mature T- and NK-cell non-Hodgkin lymphoma in children and young adolescents. Br J Haematol 173:573–58110.1111/bjh.14044Search in Google Scholar PubMed

Published Online: 2024-03-06
Published in Print: 2024-03-04

© 2024 the author(s), published by Walter de Gruyter GmbH, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Downloaded on 25.12.2025 from https://www.degruyterbrill.com/document/doi/10.1515/medgen-2024-2005/html
Scroll to top button