| Literature DB >> 35330161 |
Vivian Hathuc1, Friederike Kreisel1.
Abstract
Peripheral T-Cell lymphoma (PTCL) comprises a heterogenous group of uncommon lymphomas derived from mature, post-thymic or "peripheral" T- and natural killer cells. The World Health Organization (WHO) emphasizes a multiparameter approach in the diagnosis and subclassification of these neoplasms, integrating clinical, morphologic, immunophenotypic, and genetic features into the final diagnosis. Clinical presentation is particularly important due to histologic, immunophenotypic and genetic variations within established subtypes, and no convenient immunophenotypic marker of monoclonality exists. In recent years, widespread use of gene expression profiling and next-generation sequencing (NGS) techniques have contributed to an improved understanding of the pathobiology in PTCLs, and these have been incorporated into the 2016 revised WHO classification of mature T- and NK-cell neoplasms which now encompasses nearly 30 distinct entities. This review discusses the genetic landscape of PTCL and its role in subclassification, prognosis, and potential targeted therapy. In addition to discussing T-Cell lymphoma subtypes with relatively well-defined or relevant genetic aberrancies, special attention is given to genetic advances in T-Cell lymphomas of T follicular helper cell (TFH) origin, highlighting genetic overlaps between angioimmunoblastic T-Cell lymphoma (AITL), follicular T-Cell lymphoma, and nodal peripheral T-Cell lymphoma with a TFH phenotype. Furthermore, genetic drivers will be discussed for ALK-negative anaplastic large cell lymphomas and their role in differentiating these from CD30+ peripheral T-Cell lymphoma, not otherwise specified (NOS) and primary cutaneous anaplastic large cell lymphoma. Lastly, a closer look is given to genetic pathways in peripheral T-Cell lymphoma, NOS, which may guide in teasing out more specific entities in a group of T-Cell lymphomas that represents the most common subcategory and is sometimes referred to as a "wastebasket" category.Entities:
Keywords: T-Cell lymphoma; T-Cell receptor signaling; epigenetic regulators
Year: 2022 PMID: 35330161 PMCID: PMC8954173 DOI: 10.3390/life12030410
Source DB: PubMed Journal: Life (Basel) ISSN: 2075-1729
Figure 1The receptors and signaling pathway components are depicted in this image and explained in detail in the body of the text. For abbreviations, please see the abbreviation list.
Pertinent genetic and molecular aberrancies in different peripheral T-Cell lymphoma subtypes. The percentages in parentheses indicate the incidence of the aberrancy, where available. For abbreviations, please see the abbreviation list.
| Genetics and Molecular Aberrancies | ||||||
|---|---|---|---|---|---|---|
| T-Cell Lymphoma Type | TCR, Co-Stimulatory, and Intracellular Signaling Pathway | Epigenetic Regulators | Tumor Suppressor Genes | Transcription Factors | Structural Alterations | Viral-Mediated |
| T-PLL | Missense or frameshift mutations in ATM (73%) and TP53 (71%) | Gain-of-function mutations in JAK3 (30–40%), STAT5B (21–36%), and JAK1 (8%) | inv(14) or t(14;14)(q11q32), t(X;14)(q28)(q11) (>90%), abnormal chromosomes 6,8 (amplification of MYC) (67%), and 17 (deletion of TP53), del(11q23) | |||
| T-LGLL | Gain-of-function mutations in STAT3 (11–75%) and STAT5B (15–55%) | |||||
| ATLL | Activating mutations in PLCG1 (36%), VAV1 (18%), FYN (4%), CD28, and CTLA4-CD28 and ICOS-CD28 fusion genes (7%) | TP53 mutations | Activating mutations in | HTVL-1 | ||
| HSTL | Nonsense and frameshift mutations in SETD2 (25%), INO80 (21%), TET3 (15%), SMARCA2 (10%) | Missense mutations STAT5B (31%) and STAT3 (9%) | isochromosome 7q (65%), trisomy 8 (50%) | |||
| EATL | Mutations in JAK1, JAK3, and STAT3 (12–25%), less frequently STAT5B | 9q34.3 gains (80%), 16q12.1 loss, 1q and 5q gains | ||||
| MEITL | Mutations in SETD2 (>90%) | Mutations in STAT5B (60%) | 9q34.3 gains (75%), 16q12.1 loss (23%), gains of 8q (amplification of MYC) (50%) | |||
| ENTKL | Mutations in KMT2D, KMT2C, ASXL3, ARID1A, and EP300 | Mutations in STAT3 and STAT5B (up to 35%) | del(6)(q21q25) (40%), loss of 6q16.1–27 (deletion of tumor suppressor genes PRDM1 or ATG5) (35%), 2q and 1p36.23–36.33 (40–60%) | EBV | ||
| STCLC | Mutations in KMT2D (17%) | EBV | ||||
| MF/SS | Point mutations in PLCG1 (10%), CTLA4-CD28 and ICOS-CD28 fusion (3.6%) | Deleted DNMT3A (38%), ARID1A (58%), and ARID5B (29%) | Deleted TP53 (93%), CDKN2A (40%), RB1 (39%), and ATM (30%) | Copy number gains of STAT3 (60%), STAT5B (60%), and JAK2 (13%) | ||
| AITL | Inactivating mutation in RHOA(G17V) (70%), FYN (4%) and VAV1 (5%) activating point mutations in CD28 (10%), CTLA4-CD28 (58%) and ICOS-CD28 fusion (5%) | Loss-of-function mutation in TET (80%), gain-of-function in IDH2 (20%), point mutation in DNMT3A(R882H) (30%) | ||||
| Follicular TCL | Loss-of-function mutation in TET2 (58%) | t(5;9)(q33q22) (ITK-SYK) (20%) | ||||
| ALK+ ALCL | STAT3 activation induced by t(2;v)(p23;v) fusion gene (13%) | t(2;v)(p23;v), most commonly t(2;5)(p23q35) (NPM-ALK) (85%) | ||||
| ALK- ALCL | Activating mutations in STAT3 and JAK1 (20%), NFKB2-ROS2 and NFKB2-TYK2 fusion genes contribute to STAT3 activation | t(6;7)(p25.3;q32.3)(DUSP22 -FRA7H) (30%), inv(3)(q26q28)(TP63-TBL1XR1) (8%), abnormal ERBB4 transcripts (24%) | ||||
| CD30+ PTCL | JAK2 rearrangements (most commonly with PCM1 as the fusion partner) | |||||
| Primary cutaneous ALCL | t(6;7)(p25.3;q32.3)(DUSP22-FRA7H) (33%), gains of 7q31, 17q, and 21, losses of 3p, 6q16–6q21, and 8p (52%) | |||||
| PTCL-GATA3 | Loss or mutations of tumor suppressor genes in the CDKN2A/B (45%), TP53 (58%) and PI3K (35%) pathways | Gains and amplifications of STAT3 (35%) | Gains and amplifications of MYC (52%) | |||
| PTCL-TBX21 | Mutations in TET1, TET3, and DNMT3A (36%) | NF-kB activation | ||||
Potential therapy targets in peripheral T-Cell lymphomas. For abbreviations, please see the abbreviation list.
| Genes | Potential Targets | Agents | T-Cell Lymphoma Type | References |
|---|---|---|---|---|
| NFAT pathway | Calcineurin | Cyclosporine A | AITL | [ |
|
| Multikinase inhibitors | Dasatinib | AITL, PTCL-NOS | [ |
| PI3K pathway | PI3K isoforms gamma and delta | Duvelisib | Spectrum of PTCL | |
|
| HDACi | 5-azacytidine, vorinostat, belinostat | AITL, ALCL, PTCL-NOS | [ |
| Anti-CTLA4 immunotherapy | Ipilmumab | AITL, PTCL-NOS | [ | |
| PD-1, PD-L1 | Nivolumab, prembrolizumab, atezolizumab, avelumab, durvalumab | AITL, PTCL with TFH phenotype | [ | |
|
| JAK/STAT inhibitors | Ruxolitinib | ALCL, ENKTL, cutaneous TCL | [ |
|
| ERB kinase inhibitors | Cetuximab, gefitinib | ALCL | [ |
| NF-kB pathway | Bortezomib | ATLL | ||
| CD30 | Brentuximab | ALCL and other CD30 expressing PTCLs | [ | |
| CD52 | Alemtuzumab (CAMPATH-1) | Any PTCL with CD52 expression | [ | |
| CD25 | Basiliximab, Camidanlumab | AITL, ATLL, ALCL, ENKTL | [ | |
| CD38 | Daratumumab | AITL, PTCL-NOS | [ | |
| CCR4 | Mogamulizumab | ATLL, ALK- ALCL, MF, AITL, PTCL-NOS | [ | |
| CD7, CD4, CD5, CD30, TCR | CARs | Spectrum of PTCL | [ |