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 | |||
==WHO Classification of Disease== | ==WHO Classification of Disease== | ||
| Line 32: | Line 26: | ||
|} | |} | ||
==Related Terminology== | ==Related Terminology== | ||
{| class="wikitable" | {| class="wikitable" | ||
|Acceptable | |Acceptable | ||
|N/A | |N/A | ||
| Line 58: | Line 37: | ||
==Gene Rearrangements== | ==Gene Rearrangements== | ||
{| class="wikitable sortable" | {| class="wikitable sortable" | ||
|- | |- | ||
| Line 67: | Line 45: | ||
!Clinical Relevance Details/Other Notes | !Clinical Relevance Details/Other Notes | ||
|- | |- | ||
| | |'''Arm‑level chromosomal alterations (e.g., 9p, 18q deletions; 1q, 7q,15q gains)''' | ||
|< | |— | ||
| | |Copy number loss or gain → altered gene dosage of tumour suppressors/oncogenes | ||
| | |Other / chromosomal alteration | ||
| | |Recurrent (5‑20%) (9p del ~22%, 18q del ~22%; 1q/7q/15q gains ~33‑39%) | ||
|D / P | |||
|No | |||
|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)''' | ||
|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 | ||
| | |Oncogene / Other | ||
|< | |Rare (<5%) (single case reported) | ||
| | |T | ||
| | |No | ||
| | |Very recently described; may represent novel driver/target; further cases needed<ref>{{Cite journal|last=Azimpouran|first=Mahzad|last2=Bui|first2=Chau M.|last3=Balzer|first3=Bonnie|last4=Kitahara|first4=Sumire|date=2024-12-01|title=Rapidly Progressive Primary Cutaneous Gamma Delta T-Cell Lymphoma With FYN Gene Alteration|url=https://pubmed.ncbi.nlm.nih.gov/39412302|journal=The American Journal of Dermatopathology|volume=46|issue=12|pages=e120–e123|doi=10.1097/DAD.0000000000002856|issn=1533-0311|pmid=39412302}}</ref> | ||
| | |||
| | |||
| | |||
| | |||
| | |||
| | |||
| | |||
| | |||
|- | |- | ||
| | |'''Fusion: PCM1 :: JAK2''' | ||
|< | |PCM1 | ||
| | |Fusion → juxtaposition of dimerization domain of PCM1 with kinase domain of JAK2 → constitutive JAK2 activation | ||
| | |Oncogene | ||
| | |Rare (<5%) (single documented PCGDTCL case) | ||
| | |T | ||
|No | |||
|Known in other T‑cell and myeloid neoplasms; in PCGDTCL this double‐hit case had PCM1::JAK2 + TBL1XR1::TP63 fusion; patient refractory to JAK inhibitor<ref name=":2">{{Cite journal|last=Fadl|first=Amr|last2=Bennani|first2=N. Nora|last3=Comfere|first3=Nneka|last4=Durani|first4=Urshila|last5=Greipp|first5=Patricia T.|last6=Feldman|first6=Andrew L.|date=2023-09|title=Primary cutaneous gamma/delta T-cell lymphoma with simultaneous JAK2 and TP63 rearrangements: a new double-hit?|url=https://pubmed.ncbi.nlm.nih.gov/37308177|journal=Histopathology|volume=83|issue=3|pages=492–495|doi=10.1111/his.14973|issn=1365-2559|pmc=10524708|pmid=37308177}}</ref> | |||
|- | |- | ||
| | |'''Fusion: TBL1XR1 :: TP63''' | ||
| | |TBL1XR1 | ||
| | |Fusion → truncation/overexpression of ΔNp63 form → oncogenic p63 signalling | ||
| | |Oncogene / Other | ||
| | |Rare (<5%) (same single case) ( | ||
| | |P / T | ||
| | |No | ||
| | |Associated with aggressive behaviour in T‑cell lymphomas; in the reported PCGDTCL case contributed to aggressive course and JAK inhibitor resistance<ref name=":2" /> | ||
|} | |} | ||
==Individual Region Genomic Gain/Loss/LOH== | ==Individual Region Genomic Gain/Loss/LOH== | ||
{| class="wikitable sortable" | {| class="wikitable sortable" | ||
|- | |- | ||
| Line 126: | Line 90: | ||
!Clinical Relevance Details/Other Notes | !Clinical Relevance Details/Other Notes | ||
|- | |- | ||
| | |1p | ||
|Loss | |||
| | |1p36.11 | ||
| | |ARID1A | ||
|P | |||
| | |No | ||
|Deleted in ~28% of cases. Indicates epigenetic/chromatin modifier pathway involvement<ref name=":0" /> | |||
| | |||
| | |||
|< | |||
|- | |- | ||
| | |1q | ||
|Gain (arm‐level amplification) | |||
| | |1q (approx chr1:144,000,000‑249,000,000) | ||
| | |Multiple genes on 1q (unspecified) | ||
|P / T | |||
| | |No | ||
|Amplification in ~33% of cases. Potential gene dosage effect; specific driver gene not yet defined<ref name=":0" /> | |||
| | |||
| | |||
|< | |||
|- | |- | ||
| | |2q | ||
|Loss | |||
| | |2q37.3 | ||
| | |PDCD1 | ||
|P | |||
| | |No | ||
|Deletion in ~22% of cases. Immune checkpoint gene loss; potential therapeutic‑escape mechanism<ref name=":0" /> | |||
| | |||
| | |||
|< | |||
|- | |- | ||
| | |7q | ||
| | |Gain (arm‐level) | ||
| | |7q (approx chr7:100,000,000‑159,000,000) | ||
| | |Multiple genes on 7q (unspecified) | ||
| | |P | ||
| | |No | ||
| | |Amplification in ~39% of cases. Suggests MAPK/other pathway involvement but specific gene not yet defined. | ||
|- | |||
|9p | |||
|Loss (deletion) | |||
|9p21.3 (~ chr9:21,900,000‑22,200,000) | |||
|CDKN2A, CDKN2B | |||
|P | |||
|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 | |||
|10q24.1 | |||
|FAS | |||
|P | |||
|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 | |||
|No | |||
|Amplification in ~33% of cases. Likely reflects tumour evolution rather than diagnostic biomarker<ref name=":0" /> | |||
|- | |||
|18q | |||
|Loss | |||
|18q (arm level; no precise minimal region specified) | |||
|Putative tumour suppressors (unspecified) | |||
|P | |||
|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" | ||
|- | |- | ||
| Line 182: | Line 166: | ||
!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)<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) | |||
|< | |'''Common''' (>20%) — nearly all cases show multiple arm‑level events (median 4 per sample) (PMC) | ||
|< | |P | ||
|< | |No | ||
| | |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) <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. | |||
|'''Common''' (>20%) | |||
|P | |||
|No | |||
|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) <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)<ref name=":0" /> | |||
|'''Recurrent''' (5‑20%) — this pattern applies in a subset of cases defined by tissue involvement and TCR subtype. | |||
|D / P | |||
|No | |||
|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''' <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. | |||
|'''Recurrent''' (5‑20%) — seen in Vδ1 cases but not all. | |||
|P | |||
|No | |||
|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) <ref name=":0" /> | |||
|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) | |||
|P | |||
|No | |||
|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)''' <ref name=":0" /> | ||
|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%) | ||
| | |P | ||
| | |No | ||
| | |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) <ref name=":0" /> | ||
| | |Suggests antigen‑driven or tissue‐resident γδ T‑cell proliferation; highlights non‑random selection of malignant clones | ||
| | |'''Recurrent''' (5‑20%) in defined subtypes | ||
| | |D | ||
| | |No | ||
| | |Might help refine subclassification of PCGDTCL; not currently used in routine diagnostic algorithms. | ||
|} | |} | ||
==Gene Mutations (SNV/INDEL)== | ==Gene Mutations (SNV/INDEL)== | ||
{| class="wikitable sortable" | {| class="wikitable sortable" | ||
|- | |- | ||
| Line 215: | Line 225: | ||
!Clinical Relevance Details/Other Notes | !Clinical Relevance Details/Other Notes | ||
|- | |- | ||
| | |'''STAT5B''' | ||
|Activating missense (e.g., p.N642H) → constitutive downstream STAT5 signalling | |||
|Oncogene | |||
|< | |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) | ||
|No | |||
|< | |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''' | ||
|Activating missense (SH2 domain) → constitutive STAT3 signalling | |||
|Oncogene | |||
|Rare (<5 %) to Recurrent (≈5‑10 %) (in NK/γδ‑T lymphomas earlier) | |||
|T / P | |||
|No | |||
|Less frequent than STAT5B in PCGDTCL; part of JAK/STAT pathway involvement<ref name=":0" /><ref name=":1" /> | |||
|- | |||
|'''JAK3''' | |||
|Activating mutation (e.g., p.R657W) → JAK3 tyrosine kinase activation | |||
|Oncogene | |||
|Rare (<5 %) (noted in the Daniels et al. cohort) | |||
|T | |||
|No | |||
|Supports JAK/STAT involvement; one case report showed response to JAK inhibition<ref name=":3" /> | |||
|- | |||
|'''KRAS''' | |||
|Activating hotspot mutations (e.g., G12D, Q61H, D119N) → RAS/MAPK activation | |||
|Oncogene | |||
|Recurrent (~5‑20 %) — “KRAS was the most frequently mutated oncogene” <ref name=":0" /> | |||
|T / P | |||
|No | |||
|MAPK pathway appears relevant; patients with MAPK‑pathway driver mutations had worse survival in the cohort<ref name=":0" /> | |||
|- | |||
|'''NRAS''' | |||
|Activating hotspot mutation → RAS/MAPK activation | |||
|Oncogene | |||
|Rare (<5 %) to Recurrent (~5‑10 %) | |||
|T / P | |||
|No | |||
|Part of the same RAS/MAPK pathway as KRAS; less common. | |||
|- | |- | ||
| | |'''MAPK1''' | ||
|Activating mutation → MAPK1 signalling activation | |||
|< | |Oncogene | ||
| | |Rare (<5 %) | ||
| | |T | ||
|< | |No | ||
|Also in MAPK pathway; limited data in PCGDTCL<ref name=":0" /><ref name=":1" /> | |||
|- | |- | ||
| | |'''MYC''' | ||
| | |Activating missense mutation (e.g., p.P74L) → MYC pathway up‑regulation | ||
| | |Oncogene | ||
|< | |Rare (<5 %) | ||
|< | |P / T | ||
|No | |||
|MYC pathway involvement may contribute to the aggressive phenotype; direct targeting not yet established<ref name=":0" /> | |||
|- | |- | ||
| | |'''MYCN''' | ||
| | |Activating mutation (e.g., p.G34R) → MYCN pathway activation | ||
| | |Oncogene | ||
| | |Rare (<5 %) | ||
| | |P / T | ||
| | |No | ||
| | |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" | ||
|- | |- | ||
!Gene; Genetic Alteration!!Pathway!!Pathophysiologic Outcome | !Gene; Genetic Alteration!!Pathway!!Pathophysiologic Outcome | ||
|- | |- | ||
|< | |DNMT3A (DNA methyltransferase) | ||
| | |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 | ||
|- | |- | ||
| | |TET2 (methylcytosine dioxygenase) | ||
|< | |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) | ||
|- | |- | ||
| | |IDH2 (metabolic enzyme altering epigenome) | ||
|< | |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 | ||
|- | |- | ||
| | |ARID1A (SWI/SNF 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 | ||
|- | |||
|KMT2D / KMT2A (H3K4 methyltransferases) | |||
|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 | |||
|- | |||
|KDM6A (H3K27 demethylase) | |||
|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 | |||
|- | |||
|EZH2 (PRC2 complex methyltransferase) | |||
|Overexpression/gain of function → increased H3K27me3 (“histone‑writer” overactivity) <ref name=":4" /> | |||
|Enhanced silencing of differentiation/apoptosis genes; contributes to aggressive lymphoma phenotypes | |||
|- | |||
|CREBBP / EP300 (histone acetyl‑transferases) | |||
|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 | |||
|- | |||
|DNA methylation of specific tumour‑suppressor loci (e.g., CDKN2A promoter; FAS promoter) | |||
|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 | |||
|} | |} | ||
==Genetic Diagnostic Testing Methods== | ==Genetic Diagnostic Testing Methods== | ||
{| class="wikitable" | |||
|'''Method''' | |||
|'''Description''' | |||
|'''Type of Alteration Detected''' | |||
|'''Advantages''' | |||
|'''Limitations''' | |||
|'''Clinical Use in PCGDTCL''' | |||
|- | |||
|'''Next-Generation Sequencing (NGS)''' | |||
|High-throughput sequencing of targeted gene panels, whole-exome, or whole-genome sequencing | |||
|SNVs, INDELs, copy number variants (CNVs), some fusions (if RNA-seq included) | |||
|Comprehensive mutation detection; scalable; can detect multiple variants simultaneously | |||
|Requires high-quality DNA/RNA; bioinformatics expertise needed; cost-intensive | |||
|Main tool for mutational profiling in PCGDTCL; used in research and increasingly in clinical labs | |||
|- | |||
|'''Targeted Gene Panels (amplicon or hybrid capture-based)''' | |||
|Sequencing of a defined set of genes known to be relevant | |||
|SNVs, INDELs, limited CNVs, hotspot fusions (if included) | |||
|Faster, cheaper than WES/WGS; focused on clinically relevant genes | |||
|May miss novel or unexpected mutations; limited to panel content | |||
|Often used clinically to screen for mutations in JAK/STAT, RAS pathways in PCGDTCL | |||
|- | |||
|'''Fluorescence In Situ Hybridization (FISH)''' | |||
|DNA probes hybridize to metaphase or interphase chromosomes | |||
|Structural chromosomal alterations, gene fusions, amplifications, deletions | |||
|Visualizes gene rearrangements and copy number changes; established clinical use | |||
|Limited to known targets; low resolution; labor-intensive | |||
|Used to detect known translocations or gene amplifications (e.g., MYC) in lymphoma diagnosis | |||
|- | |||
|'''Array Comparative Genomic Hybridization (aCGH) / SNP Arrays''' | |||
|Genome-wide detection of copy number alterations and LOH | |||
|Copy number gains, losses, LOH (Loss of heterozygosity) | |||
|Genome-wide coverage; detects submicroscopic CNVs | |||
|Cannot detect balanced translocations or point mutations; resolution depends on array density | |||
|Useful for detecting large chromosomal alterations in lymphoma samples | |||
|- | |||
|'''RNA Sequencing (RNA-Seq)''' | |||
|Sequencing of transcriptome | |||
|Gene fusions, splice variants, expression levels | |||
|Detects novel and known fusions; measures gene expression; alternative splicing | |||
|RNA quality sensitive; bioinformatics expertise needed | |||
|Research use for identifying novel fusion partners or expression signatures in PCGDTCL | |||
|- | |||
|'''Sanger Sequencing''' | |||
|Chain termination sequencing of PCR-amplified regions | |||
|SNVs and small indels | |||
|Gold standard for validation; high accuracy | |||
|Low throughput; not suitable for large panels | |||
|Used to confirm NGS-identified mutations | |||
|- | |||
|'''Digital Droplet PCR (ddPCR) / qPCR''' | |||
|Highly sensitive quantification of known mutations or gene rearrangements | |||
|Known point mutations, copy number changes | |||
|Very sensitive, quantitative; fast turnaround | |||
|Limited to known mutations; not comprehensive | |||
|Useful for monitoring known mutations (e.g., STAT5B N642H) in minimal residual disease (MRD) or treatment response | |||
|- | |||
|'''Immunohistochemistry (IHC)''' (surrogate genetic marker) | |||
|Antibody staining of protein expression | |||
|Protein expression reflecting genetic alterations (e.g., pSTAT5B, MYC) | |||
|Widely available; easy to implement | |||
|Indirect; may not perfectly correlate with mutation status | |||
|Supportive role in diagnosis and prognosis, not definitive genetic test | |||
|} | |||
==Familial Forms== | ==Familial Forms== | ||
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:DISEASE]] | |||
[[Category:Diseases P]] | |||
[[Category:HAEM5]][[Category:DISEASE]][[Category:Diseases P]] | |||