HAEM5:Primary cutaneous gamma/delta T-cell lymphoma: Difference between revisions
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[[HAEM5:Table_of_Contents|Haematolymphoid Tumours (WHO Classification, 5th ed.)]] | [[HAEM5:Table_of_Contents|Haematolymphoid Tumours (WHO Classification, 5th ed.)]] | ||
==Primary Author(s)*== | ==Primary Author(s)*== | ||
Mahzad Azimpouran, MD; Sumire Kitahara, MD; Cedars-Sinai, Los Angeles, CA | Mahzad Azimpouran, MD; Sumire Kitahara, MD; Cedars-Sinai, Los Angeles, CA | ||
| Line 36: | Line 29: | ||
{| class="wikitable" | {| class="wikitable" | ||
|Acceptable | |Acceptable | ||
|N/A | |N/A | ||
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==Gene Rearrangements== | ==Gene Rearrangements== | ||
{| class="wikitable sortable" | {| class="wikitable sortable" | ||
|- | |- | ||
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!Established Clinical Significance Per Guidelines - Yes or No (Source) | !Established Clinical Significance Per Guidelines - Yes or No (Source) | ||
!Clinical Relevance Details/Other Notes | !Clinical Relevance Details/Other Notes | ||
|- | |- | ||
|'''Arm‑level chromosomal alterations (e.g., 9p, 18q deletions; 1q, 7q,15q gains)''' | |'''Arm‑level chromosomal alterations (e.g., 9p, 18q deletions; 1q, 7q,15q gains)''' | ||
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|Copy number loss or gain → altered gene dosage of tumour suppressors/oncogenes | |Copy number loss or gain → altered gene dosage of tumour suppressors/oncogenes | ||
|Other / chromosomal alteration | |Other / chromosomal alteration | ||
|Recurrent (5‑20%) (9p del ~22%, 18q del ~22%; 1q/7q/15q gains ~33‑39% | |Recurrent (5‑20%) (9p del ~22%, 18q del ~22%; 1q/7q/15q gains ~33‑39%) | ||
|D / P | |D / P | ||
|No | |No | ||
|These structural changes suggest genomic instability and aggressive biology; may help risk stratification though not diagnostic per se<ref name=":0" /> | |These structural changes suggest genomic instability and aggressive biology; may help risk stratification though not diagnostic per se<ref name=":0">{{Cite journal|last=Daniels|first=Jay|last2=Doukas|first2=Peter G.|last3=Escala|first3=Maria E. Martinez|last4=Ringbloom|first4=Kimberly G.|last5=Shih|first5=David J. H.|last6=Yang|first6=Jingyi|last7=Tegtmeyer|first7=Kyle|last8=Park|first8=Joonhee|last9=Thomas|first9=Jane J.|date=2020-04-14|title=Cellular origins and genetic landscape of cutaneous gamma delta T cell lymphomas|url=https://pubmed.ncbi.nlm.nih.gov/32286303|journal=Nature Communications|volume=11|issue=1|pages=1806|doi=10.1038/s41467-020-15572-7|issn=2041-1723|pmc=7156460|pmid=32286303}}</ref> | ||
|- | |- | ||
|'''Fusion: FYN :: (probable partner TRAF3IP2)''' | |'''Fusion: FYN :: (probable partner TRAF3IP2)''' | ||
|TRAF3IP2 | |TRAF3IP2 | ||
|Structural alteration – deletion/exon8 deletion → (in other T‑cell lymphomas) FYN::TRAF3IP2 fusion leading to SRC‑family kinase activation; in this PCGDTCL case FYN exon8 deletion noted | |Structural alteration – deletion/exon8 deletion → (in other T‑cell lymphomas) FYN::TRAF3IP2 fusion leading to SRC‑family kinase activation; in this PCGDTCL case FYN exon8 deletion noted | ||
|Oncogene / Other | |Oncogene / Other | ||
|Rare (<5%) (single case reported) | |Rare (<5%) (single case reported) | ||
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|Fusion → juxtaposition of dimerization domain of PCM1 with kinase domain of JAK2 → constitutive JAK2 activation | |Fusion → juxtaposition of dimerization domain of PCM1 with kinase domain of JAK2 → constitutive JAK2 activation | ||
|Oncogene | |Oncogene | ||
|Rare (<5%) (single documented PCGDTCL case | |Rare (<5%) (single documented PCGDTCL case) | ||
|T | |T | ||
|No | |No | ||
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|Fusion → truncation/overexpression of ΔNp63 form → oncogenic p63 signalling | |Fusion → truncation/overexpression of ΔNp63 form → oncogenic p63 signalling | ||
|Oncogene / Other | |Oncogene / Other | ||
|Rare (<5%) (same single case) ( | |Rare (<5%) (same single case) ( | ||
|P / T | |P / T | ||
|No | |No | ||
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|} | |} | ||
==Individual Region Genomic Gain/Loss/LOH== | ==Individual Region Genomic Gain/Loss/LOH== | ||
{| class="wikitable sortable" | {| class="wikitable sortable" | ||
|- | |- | ||
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!Clinical Relevance Details/Other Notes | !Clinical Relevance Details/Other Notes | ||
|- | |- | ||
| | |1p | ||
|Loss | |Loss | ||
| | |1p36.11 | ||
| | |ARID1A | ||
|P | |P | ||
|No | |No | ||
| | |Deleted in ~28% of cases. Indicates epigenetic/chromatin modifier pathway involvement<ref name=":0" /> | ||
|- | |- | ||
|1q | |1q | ||
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|P / T | |P / T | ||
|No | |No | ||
|Amplification in ~33% of cases. | |Amplification in ~33% of cases. Potential gene dosage effect; specific driver gene not yet defined<ref name=":0" /> | ||
|- | |- | ||
| | |2q | ||
| | |Loss | ||
| | |2q37.3 | ||
| | |PDCD1 | ||
|P | |P | ||
|No | |No | ||
| | |Deletion in ~22% of cases. Immune checkpoint gene loss; potential therapeutic‑escape mechanism<ref name=":0" /> | ||
|- | |- | ||
|7q | |7q | ||
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|P | |P | ||
|No | |No | ||
|Amplification in ~39% of cases. | |Amplification in ~39% of cases. Suggests MAPK/other pathway involvement but specific gene not yet defined. | ||
|- | |- | ||
| | |9p | ||
|Loss ( | |Loss (deletion) | ||
| | |9p21.3 (~ chr9:21,900,000‑22,200,000) | ||
|CDKN2A | |CDKN2A, CDKN2B | ||
|P | |P | ||
|No | |No | ||
| | |High‐frequency homozygous or biallelic deletion (~61% of cases; 45% biallelic) in PCGDTCL. (PMC) Suggests aggressive biology, prognostic marker candidate<ref name=":0" /> | ||
|- | |- | ||
| | |10q | ||
|Loss | |Loss | ||
| | |10q24.1 | ||
| | |FAS | ||
|P | |P | ||
|No | |No | ||
| | |Deletion in ~22% of cases. Loss of apoptosis regulator; may contribute to immune‑escape<ref name=":0" /> | ||
|- | |- | ||
| | |15q | ||
| | |Gain (arm‐level) | ||
| | |15q (approx chr15:30,000,000‑102,000,000) | ||
| | |Multiple genes on 15q (unspecified) | ||
|P | |P | ||
|No | |No | ||
| | |Amplification in ~33% of cases. Likely reflects tumour evolution rather than diagnostic biomarker<ref name=":0" /> | ||
|- | |- | ||
| | |18q | ||
|Loss | |Loss | ||
| | |18q (arm level; no precise minimal region specified) | ||
| | |Putative tumour suppressors (unspecified) | ||
|P | |P | ||
|No | |No | ||
| | |Recurrent deletion ~22% in PCGDTCL cohort. May reflect genomic instability and poor outcome<ref name=":0" /> | ||
|} | |} | ||
==Characteristic Chromosomal or Other Global Mutational Patterns== | ==Characteristic Chromosomal or Other Global Mutational Patterns== | ||
{| class="wikitable sortable" | {| class="wikitable sortable" | ||
|- | |- | ||
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!Clinical Relevance Details/Other Notes | !Clinical Relevance Details/Other Notes | ||
|- | |- | ||
|'''Arm‑level somatic copy‑number variation (SCNV)''' (average ~4 arm‑level events per case; median ~166.5 SCNVs per sample) | |'''Arm‑level somatic copy‑number variation (SCNV)''' (average ~4 arm‑level events per case; median ~166.5 SCNVs per sample)<ref name=":0" /> | ||
|Reflects genomic instability; multiple gains and losses of whole chromosome arms likely contribute to oncogenesis and progression by altering gene dosage of multiple oncogenes/tumour suppressors simultaneously. (PMC) | |Reflects genomic instability; multiple gains and losses of whole chromosome arms likely contribute to oncogenesis and progression by altering gene dosage of multiple oncogenes/tumour suppressors simultaneously. (PMC) | ||
|'''Common''' (>20%) — nearly all cases show multiple arm‑level events (median 4 per sample) (PMC) | |'''Common''' (>20%) — nearly all cases show multiple arm‑level events (median 4 per sample) (PMC) | ||
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|High genomic complexity may explain aggressive behaviour and poor response to therapy. Could impact prognosis or treatment resistance but not yet in guidelines. | |High genomic complexity may explain aggressive behaviour and poor response to therapy. Could impact prognosis or treatment resistance but not yet in guidelines. | ||
|- | |- | ||
|'''High burden of somatic copy‑number variants (SCNVs) relative to single‐nucleotide variants (SNVs)''' (e.g., median ~166.5 SCNVs per sample) | |'''High burden of somatic copy‑number variants (SCNVs) relative to single‐nucleotide variants (SNVs)''' (e.g., median ~166.5 SCNVs per sample) <ref name=":0" /> | ||
|Suggests that structural genomic alterations dominate the mutational landscape, perhaps more so than classical hotspot SNVs, indicating a biology driven by large‑scale genomic disruption rather than just point mutations. | |Suggests that structural genomic alterations dominate the mutational landscape, perhaps more so than classical hotspot SNVs, indicating a biology driven by large‑scale genomic disruption rather than just point mutations. | ||
|'''Common''' (>20%) | |'''Common''' (>20%) | ||
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|Recognising this pattern may guide expectation of complexity, but this is not currently used clinically for diagnosis or treatment. | |Recognising this pattern may guide expectation of complexity, but this is not currently used clinically for diagnosis or treatment. | ||
|- | |- | ||
|'''Distinct cell‑of‑origin signature: Vδ1 vs Vδ2 subtype''' (epidermal/dermal Vδ1 vs panniculitic Vδ2) | |'''Distinct cell‑of‑origin signature: Vδ1 vs Vδ2 subtype''' (epidermal/dermal Vδ1 vs panniculitic Vδ2) <ref name=":0" /> | ||
|Different tissue compartments (epidermis/dermis vs subcutaneous) correspond to distinct γδ T‑cell subsets (Vδ1 vs Vδ2). The cell‑of‑origin influences mutational signatures (eg UV signature in Vδ1) and clinical phenotype (Vδ2 more aggressive) | |Different tissue compartments (epidermis/dermis vs subcutaneous) correspond to distinct γδ T‑cell subsets (Vδ1 vs Vδ2). The cell‑of‑origin influences mutational signatures (eg UV signature in Vδ1) and clinical phenotype (Vδ2 more aggressive)<ref name=":0" /> | ||
|'''Recurrent''' (5‑20%) — this pattern applies in a subset of cases defined by tissue involvement and TCR subtype. | |'''Recurrent''' (5‑20%) — this pattern applies in a subset of cases defined by tissue involvement and TCR subtype. | ||
|D / P | |D / P | ||
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|This dichotomy may help stratify patients clinically (Vδ2 subtype worse prognosis) but is not currently part of formal diagnostic or therapeutic guidelines. | |This dichotomy may help stratify patients clinically (Vδ2 subtype worse prognosis) but is not currently part of formal diagnostic or therapeutic guidelines. | ||
|- | |- | ||
|'''Ultraviolet (UV) mutational signature in Vδ1 subtype''' | |'''Ultraviolet (UV) mutational signature in Vδ1 subtype''' <ref name=":0" /> | ||
|The epidermal/dermal Vδ1 γδ T‑cell lymphomas exhibit a UV signature in their mutation spectrum, likely reflecting skin localization and UV exposure contributing to oncogenesis. | |The epidermal/dermal Vδ1 γδ T‑cell lymphomas exhibit a UV signature in their mutation spectrum, likely reflecting skin localization and UV exposure contributing to oncogenesis. | ||
|'''Recurrent''' (5‑20%) — seen in Vδ1 cases but not all. | |'''Recurrent''' (5‑20%) — seen in Vδ1 cases but not all. | ||
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|Could suggest etiology and may influence prognosis; though not yet used for therapy selection. | |Could suggest etiology and may influence prognosis; though not yet used for therapy selection. | ||
|- | |- | ||
|'''Frequent deletions of 9p21.3 (CDKN2A region)''' (part of the SCNV pattern) | |'''Frequent deletions of 9p21.3 (CDKN2A region)''' (part of the SCNV pattern) <ref name=":0" /> | ||
|Loss of CDKN2A/p14^ARF leads to cell‑cycle deregulation, loss of tumour suppressor control: a hallmark of many aggressive lymphomas | |Loss of CDKN2A/p14^ARF leads to cell‑cycle deregulation, loss of tumour suppressor control: a hallmark of many aggressive lymphomas | ||
|'''Common''' (>20%) (approx 61% of cases | |'''Common''' (>20%) (approx 61% of cases) | ||
|P | |P | ||
|No | |No | ||
|Among the most prevalent genomic events in PCGDTCL — potential prognostic marker though not yet guideline‑endorsed. | |Among the most prevalent genomic events in PCGDTCL — potential prognostic marker though not yet guideline‑endorsed. | ||
|- | |- | ||
|'''Multiple gains of oncogenic arms (e.g., 1q, 7q, 15q) and corresponding losses (eg 18q)''' | |'''Multiple gains of oncogenic arms (e.g., 1q, 7q, 15q) and corresponding losses (eg 18q)''' <ref name=":0" /> | ||
|Gains may increase dosage of oncogenes; losses may reduce tumour suppressor dosage—together contributing to malignant phenotype | |Gains may increase dosage of oncogenes; losses may reduce tumour suppressor dosage—together contributing to malignant phenotype | ||
|'''Recurrent''' (5‑20%) for specific arm‑level changes (e.g., 1q gain ~33%, 7q ~39%, 15q ~33% | |'''Recurrent''' (5‑20%) for specific arm‑level changes (e.g., 1q gain ~33%, 7q ~39%, 15q ~33%) | ||
|P | |P | ||
|No | |No | ||
|These arm‑level events indicate complexity; may correlate with poorer prognosis; not yet actionable in therapy. | |These arm‑level events indicate complexity; may correlate with poorer prognosis; not yet actionable in therapy. | ||
|- | |- | ||
|'''TCR chain repertoire restriction / non‑random Vγ or Vδ usage''' (eg Vγ3Vδ2 in panniculitic cases) | |'''TCR chain repertoire restriction / non‑random Vγ or Vδ usage''' (eg Vγ3Vδ2 in panniculitic cases) <ref name=":0" /> | ||
|Suggests antigen‑driven or tissue‐resident γδ T‑cell proliferation; highlights non‑random selection of malignant clones | |Suggests antigen‑driven or tissue‐resident γδ T‑cell proliferation; highlights non‑random selection of malignant clones | ||
|'''Recurrent''' (5‑20%) in defined subtypes | |'''Recurrent''' (5‑20%) in defined subtypes | ||
|D | |D | ||
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|} | |} | ||
==Gene Mutations (SNV/INDEL)== | ==Gene Mutations (SNV/INDEL)== | ||
{| class="wikitable sortable" | {| class="wikitable sortable" | ||
|- | |- | ||
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|Activating missense (e.g., p.N642H) → constitutive downstream STAT5 signalling | |Activating missense (e.g., p.N642H) → constitutive downstream STAT5 signalling | ||
|Oncogene | |Oncogene | ||
|Recurrent (~5‑20 %) — e.g., in the 2020 genomic study: JAK/STAT mutations ~21 % of cases | |Recurrent (~5‑20 %) — e.g., in the 2020 genomic study: JAK/STAT mutations ~21 % of cases<ref name=":0" /> | ||
|T / P: Therapeutic potential (JAK/STAT inhibition); Prognostic implication (pathway addiction/resistance) | |T / P: Therapeutic potential (JAK/STAT inhibition); Prognostic implication (pathway addiction/resistance) | ||
|No | |No | ||
|Mutant STAT5B (especially N642H) shown to induce T‑cell neoplasia in models; in PCGDTCL JAK/STAT addiction shown clinically | |Mutant STAT5B (especially N642H) shown to induce T‑cell neoplasia in models; in PCGDTCL JAK/STAT addiction shown clinically <ref name=":1">{{Cite journal|last=Küçük|first=Can|last2=Jiang|first2=Bei|last3=Hu|first3=Xiaozhou|last4=Zhang|first4=Wenyan|last5=Chan|first5=John K. C.|last6=Xiao|first6=Wenming|last7=Lack|first7=Nathan|last8=Alkan|first8=Can|last9=Williams|first9=John C.|date=2015-01-14|title=Activating mutations of STAT5B and STAT3 in lymphomas derived from γδ-T or NK cells|url=https://pubmed.ncbi.nlm.nih.gov/25586472|journal=Nature Communications|volume=6|pages=6025|doi=10.1038/ncomms7025|issn=2041-1723|pmc=7743911|pmid=25586472}}</ref><ref name=":3">{{Cite journal|last=Zhang|first=Yue|last2=Yescas|first2=Julia A.|last3=Tefft|first3=Kristy|last4=Ng|first4=Spencer|last5=Qiu|first5=Kevin|last6=Wang|first6=Erica B.|last7=Akhtar|first7=Shifa|last8=Walker|first8=Addie|last9=Welborn|first9=Macartney|date=2025-04-15|title=Addiction of primary cutaneous γδ T cell lymphomas to JAK/STAT signaling|url=https://pubmed.ncbi.nlm.nih.gov/40231467|journal=The Journal of Clinical Investigation|volume=135|issue=8|pages=e180417|doi=10.1172/JCI180417|issn=1558-8238|pmc=11996904|pmid=40231467}}</ref> | ||
|- | |- | ||
|'''STAT3''' | |'''STAT3''' | ||
|Activating missense (SH2 domain) → constitutive STAT3 signalling | |Activating missense (SH2 domain) → constitutive STAT3 signalling | ||
|Oncogene | |Oncogene | ||
|Rare (<5 %) to Recurrent (≈5‑10 %) (in NK/γδ‑T lymphomas earlier | |Rare (<5 %) to Recurrent (≈5‑10 %) (in NK/γδ‑T lymphomas earlier) | ||
|T / P | |T / P | ||
|No | |No | ||
|Less frequent than STAT5B in PCGDTCL; part of JAK/STAT | |Less frequent than STAT5B in PCGDTCL; part of JAK/STAT pathway involvement<ref name=":0" /><ref name=":1" /> | ||
|- | |- | ||
|'''JAK3''' | |'''JAK3''' | ||
|Activating mutation (e.g., p.R657W) → JAK3 tyrosine kinase activation | |Activating mutation (e.g., p.R657W) → JAK3 tyrosine kinase activation | ||
|Oncogene | |Oncogene | ||
|Rare (<5 %) (noted in the Daniels et al. cohort | |Rare (<5 %) (noted in the Daniels et al. cohort) | ||
|T | |T | ||
|No | |No | ||
|Supports JAK/STAT involvement; one case report showed response to JAK inhibition | |Supports JAK/STAT involvement; one case report showed response to JAK inhibition<ref name=":3" /> | ||
|- | |- | ||
|'''KRAS''' | |'''KRAS''' | ||
|Activating hotspot mutations (e.g., G12D, Q61H, D119N) → RAS/MAPK activation | |Activating hotspot mutations (e.g., G12D, Q61H, D119N) → RAS/MAPK activation | ||
|Oncogene | |Oncogene | ||
|Recurrent (~5‑20 %) — “KRAS was the most frequently mutated oncogene” | |Recurrent (~5‑20 %) — “KRAS was the most frequently mutated oncogene” <ref name=":0" /> | ||
|T / P | |T / P | ||
|No | |No | ||
|MAPK pathway appears relevant; patients with MAPK‑pathway driver mutations had worse survival in the cohort | |MAPK pathway appears relevant; patients with MAPK‑pathway driver mutations had worse survival in the cohort<ref name=":0" /> | ||
|- | |- | ||
|'''NRAS''' | |'''NRAS''' | ||
|Activating hotspot mutation → RAS/MAPK activation | |Activating hotspot mutation → RAS/MAPK activation | ||
|Oncogene | |Oncogene | ||
|Rare (<5 %) to Recurrent (~5‑10 % | |Rare (<5 %) to Recurrent (~5‑10 %) | ||
|T / P | |T / P | ||
|No | |No | ||
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|Activating mutation → MAPK1 signalling activation | |Activating mutation → MAPK1 signalling activation | ||
|Oncogene | |Oncogene | ||
|Rare (<5 % | |Rare (<5 %) | ||
|T | |T | ||
|No | |No | ||
|Also in MAPK pathway; limited data in PCGDTCL | |Also in MAPK pathway; limited data in PCGDTCL<ref name=":0" /><ref name=":1" /> | ||
|- | |- | ||
|'''MYC''' | |'''MYC''' | ||
|Activating missense mutation (e.g., p.P74L) → MYC pathway up‑regulation | |Activating missense mutation (e.g., p.P74L) → MYC pathway up‑regulation | ||
|Oncogene | |Oncogene | ||
|Rare (<5 % | |Rare (<5 %) | ||
|P / T | |P / T | ||
|No | |No | ||
|MYC pathway involvement may contribute to the aggressive phenotype; direct targeting not yet established | |MYC pathway involvement may contribute to the aggressive phenotype; direct targeting not yet established<ref name=":0" /> | ||
|- | |- | ||
|'''MYCN''' | |'''MYCN''' | ||
|Activating mutation (e.g., p.G34R) → MYCN pathway activation | |Activating mutation (e.g., p.G34R) → MYCN pathway activation | ||
|Oncogene | |Oncogene | ||
|Rare (<5 % | |Rare (<5 %) | ||
|P / T | |P / T | ||
|No | |No | ||
|Highlights involvement of MYC‑family beyond MYC itself in this disease | |Highlights involvement of MYC‑family beyond MYC itself in this disease<ref name=":0" /> | ||
|}Note: A more extensive list of mutations can be found in [https://www.cbioportal.org/ <u>cBioportal</u>], [https://cancer.sanger.ac.uk/cosmic <u>COSMIC</u>], and/or other databases. When applicable, gene-specific pages within the CCGA site directly link to pertinent external content. | |}Note: A more extensive list of mutations can be found in [https://www.cbioportal.org/ <u>cBioportal</u>], [https://cancer.sanger.ac.uk/cosmic <u>COSMIC</u>], and/or other databases. When applicable, gene-specific pages within the CCGA site directly link to pertinent external content. | ||
==Epigenomic Alterations== | ==Epigenomic Alterations== | ||
N/A | |||
==Genes and Main Pathways Involved== | ==Genes and Main Pathways Involved== | ||
{| class="wikitable sortable" | {| class="wikitable sortable" | ||
|- | |- | ||
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|- | |- | ||
|DNMT3A (DNA methyltransferase) | |DNMT3A (DNA methyltransferase) | ||
|Loss‑of‑function mutations or deletions → reduced de novo DNA methylation; “epigenetic writer” defect (DNA methylation pathway) | |Loss‑of‑function mutations or deletions → reduced de novo DNA methylation; “epigenetic writer” defect (DNA methylation pathway)<ref name=":4">{{Cite journal|last=Zhang|first=Ping|last2=Zhang|first2=Mingzhi|date=2020-11-07|title=Epigenetic alterations and advancement of treatment in peripheral T-cell lymphoma|url=https://pubmed.ncbi.nlm.nih.gov/33160401|journal=Clinical Epigenetics|volume=12|issue=1|pages=169|doi=10.1186/s13148-020-00962-x|issn=1868-7083|pmc=7648940|pmid=33160401}}</ref> | ||
|Deregulation of gene silencing; tumour suppressor genes may remain unmethylated or aberrantly methylated → genomic instability, aberrant T‑cell differentiation/activation | |Deregulation of gene silencing; tumour suppressor genes may remain unmethylated or aberrantly methylated → genomic instability, aberrant T‑cell differentiation/activation | ||
|- | |- | ||
|TET2 (methylcytosine dioxygenase) | |TET2 (methylcytosine dioxygenase) | ||
|Loss‑of‑function mutations → failure of DNA 5‑mC → 5‑hmC demethylation (“epigenetic eraser” defect) | |Loss‑of‑function mutations → failure of DNA 5‑mC → 5‑hmC demethylation (“epigenetic eraser” defect)<ref name=":4" /> | ||
|Aberrant hypermethylation or demethylation patterns; influences T‑cell development and malignant transformation (e.g., in T‑fh lymphomas) | |Aberrant hypermethylation or demethylation patterns; influences T‑cell development and malignant transformation (e.g., in T‑fh lymphomas) | ||
|- | |- | ||
|IDH2 (metabolic enzyme altering epigenome) | |IDH2 (metabolic enzyme altering epigenome) | ||
|Gain‑of‑function mutation (e.g., R172) → produces 2‑hydroxyglutarate → inhibits TET family → epigenetic dysregulation | |Gain‑of‑function mutation (e.g., R172) → produces 2‑hydroxyglutarate → inhibits TET family → epigenetic dysregulation<ref name=":4" /> | ||
|Oncometabolite‑driven methylation changes, impaired differentiation, proliferation of malignant T cells | |Oncometabolite‑driven methylation changes, impaired differentiation, proliferation of malignant T cells | ||
|- | |- | ||
|ARID1A (SWI/SNF chromatin‑remodeller) | |ARID1A (SWI/SNF chromatin‑remodeller) | ||
|Loss‑of‑function mutation/deletion → impaired nucleosome remodelling, altered chromatin accessibility (“chromatin remodeller”) | |Loss‑of‑function mutation/deletion → impaired nucleosome remodelling, altered chromatin accessibility (“chromatin remodeller”)<ref name=":4" /> | ||
|Reduced tumour‑suppressor gene expression due to chromatin compaction; may influence immune microenvironment and genomic instability | |Reduced tumour‑suppressor gene expression due to chromatin compaction; may influence immune microenvironment and genomic instability | ||
|- | |- | ||
|KMT2D / KMT2A (H3K4 methyltransferases) | |KMT2D / KMT2A (H3K4 methyltransferases) | ||
|Loss‑of‑function mutations (“histone‑writer” defect) → decreased H3K4 methylation (activating mark) | |Loss‑of‑function mutations (“histone‑writer” defect) → decreased H3K4 methylation (activating mark)<ref name=":5">{{Cite journal|last=Ahmed|first=Nada|last2=Feldman|first2=Andrew L.|date=2020-02|title=Targeting epigenetic regulators in the treatment of T-cell lymphoma|url=https://pubmed.ncbi.nlm.nih.gov/31903826|journal=Expert Review of Hematology|volume=13|issue=2|pages=127–139|doi=10.1080/17474086.2020.1711732|issn=1747-4094|pmc=7110907|pmid=31903826}}</ref> | ||
|Impaired activation of gene expression programs (differentiation, apoptosis) → contributes to malignant transformation | |Impaired activation of gene expression programs (differentiation, apoptosis) → contributes to malignant transformation | ||
|- | |- | ||
|KDM6A (H3K27 demethylase) | |KDM6A (H3K27 demethylase) | ||
|Loss‑of‑function → accumulation of H3K27me3 (repressive histone mark) (“histone‑eraser” defect) | |Loss‑of‑function → accumulation of H3K27me3 (repressive histone mark) (“histone‑eraser” defect)<ref name=":5" /> | ||
|Further chromatin repression of tumour‑suppressor genes; may enhance survival of malignant T cells | |Further chromatin repression of tumour‑suppressor genes; may enhance survival of malignant T cells | ||
|- | |- | ||
|EZH2 (PRC2 complex methyltransferase) | |EZH2 (PRC2 complex methyltransferase) | ||
|Overexpression/gain of function → increased H3K27me3 (“histone‑writer” overactivity) | |Overexpression/gain of function → increased H3K27me3 (“histone‑writer” overactivity) <ref name=":4" /> | ||
|Enhanced silencing of differentiation/apoptosis genes; contributes to aggressive lymphoma phenotypes | |Enhanced silencing of differentiation/apoptosis genes; contributes to aggressive lymphoma phenotypes | ||
|- | |- | ||
|CREBBP / EP300 (histone acetyl‑transferases) | |CREBBP / EP300 (histone acetyl‑transferases) | ||
|Loss‑of‑function mutations (“histone‑writer” defect) → reduced histone acetylation and gene activation | |Loss‑of‑function mutations (“histone‑writer” defect) → reduced histone acetylation and gene activation<ref name=":5" /> | ||
|Diminished transcriptional activation of tumour‑suppressor/immune genes; may drive malignant progression | |Diminished transcriptional activation of tumour‑suppressor/immune genes; may drive malignant progression | ||
|- | |- | ||
|DNA methylation of specific tumour‑suppressor loci (e.g., CDKN2A promoter; FAS promoter) | |DNA methylation of specific tumour‑suppressor loci (e.g., CDKN2A promoter; FAS promoter) | ||
|Hypermethylation of promoter CpG islands → silencing of | |Hypermethylation of promoter CpG islands → silencing of tumor suppressor / apoptosis‑initiator genes<ref>{{Cite journal|last=Hara|first=Natsumi|last2=Sawada|first2=Yu|date=2022-03-24|title=Epigenetics of Cutaneous T-Cell Lymphomas|url=https://pubmed.ncbi.nlm.nih.gov/35408897|journal=International Journal of Molecular Sciences|volume=23|issue=7|pages=3538|doi=10.3390/ijms23073538|issn=1422-0067|pmc=8998216|pmid=35408897}}</ref> | ||
|Loss of cell‑cycle control or apoptosis leads to malignant T‑cell survival/proliferation | |Loss of cell‑cycle control or apoptosis leads to malignant T‑cell survival/proliferation | ||
|} | |} | ||
==Genetic Diagnostic Testing Methods== | ==Genetic Diagnostic Testing Methods== | ||
{| class="wikitable" | {| class="wikitable" | ||
|'''Method''' | |'''Method''' | ||
| Line 516: | Line 403: | ||
There are currently '''no well-established familial or hereditary forms''' described in the literature. | There are currently '''no well-established familial or hereditary forms''' described in the literature. | ||
==Additional Information== | ==Additional Information== | ||
N/A | |||
==Links== | ==Links== | ||
N/A | |||
==References== | ==References== | ||
<references /> | |||
==Notes== | |||
<nowiki>*</nowiki>''Citation of this Page'': Azimpouran M, Kitahara S. “Primary cutaneous gamma/delta T-cell lymphoma”. Compendium of Cancer Genome Aberrations (CCGA), Cancer Genomics Consortium (CGC), updated {{REVISIONMONTH}}/{{REVISIONDAY}}/{{REVISIONYEAR}}, <nowiki>https://ccga.io/index.php/HAEM5:Primary_cutaneous_gamma/delta_T-cell_lymphoma</nowiki>. | |||
<nowiki>*</nowiki>Primary authors will typically be those that initially create and complete the content of a page. If a subsequent user modifies the content and feels the effort put forth is of high enough significance to warrant listing in the authorship section, please contact the [[Leadership|''<u>Associate Editor</u>'']] or other CCGA representative. When pages have a major update, the new author will be acknowledged at the beginning of the page, and those who contributed previously will be acknowledged below as a prior author. | <nowiki>*</nowiki>Primary authors will typically be those that initially create and complete the content of a page. If a subsequent user modifies the content and feels the effort put forth is of high enough significance to warrant listing in the authorship section, please contact the [[Leadership|''<u>Associate Editor</u>'']] or other CCGA representative. When pages have a major update, the new author will be acknowledged at the beginning of the page, and those who contributed previously will be acknowledged below as a prior author. | ||
Prior Author(s): | Prior Author(s): N/A | ||
[[Category:HAEM5]] | [[Category:HAEM5]] | ||
[[Category:DISEASE]] | [[Category:DISEASE]] | ||
[[Category:Diseases P]] | [[Category:Diseases P]] | ||