Targeting TET2 as a Therapeutic Approach for Angioimmunoblastic T Cell Lymphoma
Abstract
:Simple Summary
Abstract
1. Introduction
2. AITL and Other Lymphomas with a TFH-Cell Phenotype
3. The Highly Recurrent TET2 Mutation in AITL
4. Crosstalk between TET2 and Other Genes in AITL
4.1. Interaction between TET2 and RHOA Mutations
4.2. Interaction between TET2 and DNMT3A Mutation
4.3. Interaction between TET2 and IDH2 Mutations
5. Role of TET2 Mutations in B-Cell Lymphoma Observed in AITL
5.1. Traditional View: AITL Precedes B-Cell Lymphoma
5.2. Recent View: AITL Occurs Concurrently with B Cell Lymphoma
6. New Drugs Targeting TET2 for Treatment of AITL
6.1. Histone Deacetylase Inhibitor (HDACis)
6.2. Hypomethylating Agents (HMAs)
6.3. Preclinical Trials of TET2 Targeting Agents
6.3.1. TET Enzyme Inhibitors
6.3.2. TET Enzyme Cofactors
6.3.3. Other Possibilities
7. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Diagnosis | Experiment Type | AITL Cases | Mutation Cases | Mutation Rate | Mutation Sites | Mutation Type (Rate) | Amino Acid Change | Mult-Mutation Rate | Reference |
---|---|---|---|---|---|---|---|---|---|
AITL& PTCL-NOS | Microarray | 30 | 10 | AITL: 33.3%; PTCL-NOS: 20% | NA | NA | NA | NA | Cyril Quivoron [4] et al. (2011) |
AITL& PTCL-NOS | direct sequencing | 86 | 40 | AITL: 47%; PTCL-NOS: 38% | NA | NA | NA | NA | Lemonnier [18] et al. (2012) |
AITL | NGS | 85 | 65 | 76% | 115 | Missense: 20/115 (17%); Nonsense: 38/115 (33%); Splice site: 3/115 (3%); Frameshift: 54/115 (47%); | p.Q673*, p.Q727*, p.Q765*, p.R1486*, p.Y1148* | 43/65 (66%) | Odejide [30] et al. (2014) |
AITL& PTCL-NOS | Targeted resequencing | 46 | 38 | AITL: 82.6%; PTCL-NOS: 48.5% | 70 | Frameshift: 29/70 (42%); Missense: 19/70 (27%); Nonframeshift: 1/70 (1%); Nonsense: 16/70 (23%); Splice site: 5/70 (7%) | p.E1318 splice; | 28/38 (74%) | Sakata-Yanagimoto [7] et al. (2014) |
AITL& PTCL-NOS | Targeted resequencing | 39 | 32 | AITL: 82.1%; PTCL-NOS: 46.3% | 48 | NA | NA | 13/32 (41%) | Wang [24] et al. (2015) |
AITL | WES | 9 | 9 | 100% | 15 | frameshift or nonsense changes: 14/15 (93%) | NA | 6/9 (67%) | Wang [19] et al. (2017) |
AITL | Sanger | 13 | 12 | 92% | 15 | premature stop codons or deletions:11/15 (73%);replacement:4/15 (27%) | NA | NA | Schwartz [9] et al. (2017) |
AITL& Nodal PTCL with TFH phenotype& PTCL-NOS | Targeted resequencing | 48 | 36 | AITL:75%; Nodal PTCL with TFH phenotype:100% PTCL-NOS: 55.9% | NA | NA | NA | NA | T B Nguyen [8] et al. (2017) |
AITL& PTCL-NOS & PTCL-TFH&FTCL | NA | 64 | 31 | AITL: 48%; PTCL-NOS:17% PTCL-TFH: 64% FTCL:75% | NA | NA | NA | NA | Dobay [10] et al. (2017) |
AITL | Targeted resequencing | 12 | 12 | 100% | 17 | NA | NA | 7/12 (58%) | Lemonnier [31] et al. (2018) |
AITL& PTCL-NOS | Targeted Exon Sequencing | 13 | 5 | AITL:38%; PTCL-NOS:31% | 65 | NA | R126C, G1869W(2/13); N202K; D302Y; Y620; A893T; W1291; | NA | Fernandez-Pol [32] et al. (2019) |
AITL | NGS | 44 | 38 | 86% | 60 | NA | NA | 23/38 (61%) | Julia Steinhilber [26] et al. (2019) |
AITL& PTCL-TFH | Fluidigm Access Array& Illumina MiSeq | 94 | NA | AITL: 72%; PTCL-TFH: 73% | 154 | frameshift indels or Nonsense changes: 118 (77%) | NA | 57% | Yao [20] et al. (2020) |
AITL | Targeted sequencing | 10 | 6 | 60% | 6 | NA | R550; Q1274; G422Efs’ 5; L34F; Q909; G422Efs’ 5 | 0/6 | Butzmann [21] et al. (2020) |
AITL | Targeted sequencing | 5 | 4 | 80% | 8 | Frameshift insertion: 2/8 (25%); Nonsilent: 3/8 (37.5%);Frameshift deletion:3/8 (37.5%) | NA | 4/5 (80%) | Tran B. Nguyen [23] et al. (2020) |
AITL | NGS | 28 | 25 | 85% | 75 | Missense: 26/75 (34.7%);Nosens: 22/75 (29.3%);Frameshift: 22/75 (29.3%);Splice: 4/75 (5.3%);CDS-indel: 1/75 (1.3%) | NA | 22/28 (79%) | Ye [22] et al. (2021) |
AITL | NGS | 44 | NA | NA | 49 | Frameshift: 18/49 (36.7%);Missense: 12/49 (24.5%);Splice: 3/49 (6%);Stop_gained: 12/49 (24.5%);Synonymous: 3/49 (6%);3_prime_UTR: 1/49 (2%) | NA | NA | Marta Rodríguez [27] et al. (2021) |
AITL& PTCL-TFH | Targeted resequencing | 63 | 49 | AITL: 78%; PTCL-TFH: 58% | NA | NA | NA | 28/49 (57%) | Lemonnier [25] et al. (2021) |
5 | PTCL Subtype | Design | Primary Endpoint | ORR | CR | PR | Median PFS (Months) | Median OS (Months) | Reference |
---|---|---|---|---|---|---|---|---|---|
Romidepsin | PTCL n = 130 (PTCL-NOS n = 67, AITL n = 27) | Phase II, Open-Label | CR/Cru | 25% | 15% | 11% | 4 | NA | Coiffier [72] et al. (2012) |
Belinostat | PTCL n = 24 (PTCL-NOS n = 13, AITL n = 3) | Phase II | ORR | 25% | 8.30% | 16.70% | NA | NA | Foss [73] et al. (2015) |
Belinostat | PTCL n = 120 (PTCL-NOS n = 77, AITL n = 22) | Phase II, Open-Label, multicenter | ORR | 26% | 11% | 15% | 1.6 | 7.9 | O’Connor [74] et al. (2015) |
Chidamide | PTCL n = 79 (PTCL-NOS n = 27, AITL n = 10) | Phase II, Open-Label, multicenter | ORR | 28% | 9% | 14% | 2.1 | 21.4 | Shi [75] et al. (2015) |
Chidamide | PTCL n = 256 | Phase II, multicenter | ORR | 39.06% (PTCL 37.3% AITL 49.23%) | PTCL 8.73% AITL 9.23% | PTCL 28.57% AITL 40% | 4.3 | NA | Shi [76] et al. (2017) |
Romidepsin + CHOP | PTCL n = 37 (PTCL-NOS n = 9, AITL n = 15) | phase 1b/2 | ORR | 69% | 51% | 17% | 21.3 | NA | Dupuis [77] et al. (2015) |
Panobinostat + bortezomib | PTCL n = 25 (PTCL-NOS n = 9, AITL n = 8) | Phase II, Open-Label, multicenter | ORR | 43% (PTCL 22% AITL 50%) | 21.5% (PTCL 11% AITL 25%) | 21.5% (PTCL 11% AITL 25%) | NA | NA | Tan [76] et al. (2015) |
Chidamide + chemotherapy | PTCL n = 127 | Phase II, multicenter | ORR | 51.18% | NA | NA | 5.4 | NA | Shi [76] et al. (2017) |
Duvelisib + Romidepsin | T-cell lymphoma n = 12 | Phase I | ORR | 50% | NA | NA | NA | NA | Moskowitz [78] et al. (2017) |
Duvelisib + bortezomib | T-cell lymphoma n = 17 | Phase I | ORR | 53% | 20% | 23% | NA | NA | Moskowitz [78] et al. (2017) |
5-Azacytidine | AITL n = 12 PTCL n = 37 | Clinic trial | ORR | 75% | 50% | 25% | 15 | 21 | Lemonnier [31] et al. (2018) |
Duvelisib + Romidepsin | T-cell lymphoma n = 39 (PTCL n = 22) | Phase I, Parallel Multicenter | ORR | 51% (PTCL 55%) | 17% (PTCL 27%) | 34% | 8.8 (PTCL) | NA | Horwitz [41] et al. (2018) |
Romidepsin + CHOP | PTCL n = 421 (Ro-CHOP n = 211) | Phase III | PFS | 63% | 41% | 22% | 12 | 51.8 | Bachy [79] et al. (2021) |
5-Azacytidine + romidepsin | PTCL n = 25 (PTCL-NOS n = 4, AITL n = 14) | Phase II, multicenter | ORR | 61% | 48% | 13% | 8 | Not reached | Falchi [80] et al. (2021) |
5-Azacytidine + Chidamide | PTCL n = 24 (PTCL-NOS n = 4, AITL n = 15) | Phase II | ORR | 68.8% (AITL 72.7%) | 31.2% (AITL 36.4%) | 37.5% (AITL 36.4%) | NA | NA | Ding [81] et al. (2021) |
Drugs | Disease of Study | Models | Mechanism | Limitations | Reference |
---|---|---|---|---|---|
Bobcat339 (TET enzyme inhibitors) | NA | HT-22 cells | Reduce DNA 5hmC levels in hippocampal | No testing in animal model and clinical trial | Gabriella [94] et al. (2019) |
TET-specific inhibitors (TETi76) | MDS | Cell-permeable diethyl ester of TETi76 and different human leukemia cell lines (K562, MEG-01, SIG-M5, OCI-AML5, and MOLM13) | Decrease cytosine hydroxymethylation and restrict clonal out-growth of TET2 mutant | Potential to replicate the TET2 mutation | Guan [95] et al. (2020) |
Ascorbic acid (AA) | DLBCL | Lymphoma cell lines LY-1 (DLBCL), Karpas 299 (T-cell NHL), and Jeko (mantle cell NHL) | Enhance TET activity and an increase in the hydroxymethylcytosine fraction; reactivate SMAD1 | The target, route of administration, and dose are unclear | N Shenoy [96] et al. (2017) |
Ascorbate | AML | SKM-1 cells | Increase TET activity | The target, route of administration, and dose are unclear | Carlos [97] et al. (2021) |
Ascorbic acid (AA) | Myeloid neoplasia (MN) | TET2−/− mice | facilitate Fe(III)/Fe(II) redox reaction | The target, route of administration, and dose are unclear | Guan [98] et al. (2020) |
Ascorbic acid (AA) + 5-Azacytidine (5-aza) | Pediatric T-cell acute lymphoblastic leukemia (T-ALL) | TET2-silenced T-ALL cells | Stable re-expression of the TET2 gene; up-regulation of methylated genes and human endogenous retroviruses (HERVs) | The target, route of administration, and dose are unclear | Maike [99] et al. (2021) |
Vitamin C | Colorectal cancer (CRC) | HCT 116 cells | Increase expression of CDKN1A | The target, route of administration, and dose are unclear | Christian [100] et al. (2018) |
Four-antibiotic cocktail | CMML | TET2 KO mice | Supress TNF-α signaling | How antibiotics inhibit the pathways associated with TNF is unclear | Zeng [101] et al. (2019) |
Ginkgo biloba extract (GBE) | Colorectal cancer (CRC) | SW480 cells | Reduce expression of miR-29a | No testing in the clinical trial | Li [102] et al. (2022) |
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Hu, L.; Zhang, X.; Li, H.; Lin, S.; Zang, S. Targeting TET2 as a Therapeutic Approach for Angioimmunoblastic T Cell Lymphoma. Cancers 2022, 14, 5699. https://doi.org/10.3390/cancers14225699
Hu L, Zhang X, Li H, Lin S, Zang S. Targeting TET2 as a Therapeutic Approach for Angioimmunoblastic T Cell Lymphoma. Cancers. 2022; 14(22):5699. https://doi.org/10.3390/cancers14225699
Chicago/Turabian StyleHu, Lina, Xuanye Zhang, Huifeng Li, Suxia Lin, and Shengbing Zang. 2022. "Targeting TET2 as a Therapeutic Approach for Angioimmunoblastic T Cell Lymphoma" Cancers 14, no. 22: 5699. https://doi.org/10.3390/cancers14225699
APA StyleHu, L., Zhang, X., Li, H., Lin, S., & Zang, S. (2022). Targeting TET2 as a Therapeutic Approach for Angioimmunoblastic T Cell Lymphoma. Cancers, 14(22), 5699. https://doi.org/10.3390/cancers14225699