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Hodgkin lymphoma mutation landscape

How often each gene is altered in hodgkin lymphoma, in each sequenced cohort, over the patients on whom it could have been called. Copy number is its own row. Nothing is pooled.

Retrieved 2026-09-18 · Reference cohort: chl_sccc_2023 · JSON: /disease/hodgkin-lymphoma/mutations.json · Back to the briefing

Answer block

In Classical Hodgkins Lymphoma (SCCC, Blood Cancer Discov 2023) (61 sequenced patients, exome or genome), the most frequently altered of the 48 genes shown are SOCS1 62.3%, TNFAIP3 36.07%, B2M 32.79%, ITPKB 27.87%, GNA13 26.23%. Each figure divides by the patients on whom that gene could be called.

Of the briefing's 12 curated targets, 6 are altered in under 2% of this cohort (TNFRSF8, CD274, PDCD1LG2, JAK2, REL, MS4A1): targets by expression, dependency or drug label, not by mutation. Frequency is not targetability, in either direction.

1 cohorts are shown and none are pooled; overlap between them has not been checked and there is no disease-wide percentage.

Evidence boundary: frequency here is a count in a named cohort. Whether an alteration is a driver, is actionable, or has a drug is the briefing's question and is not inferred from these numbers.

What is altered, by cohort

One row per alteration, not per gene: a gene that is amplified and rarely mutated (ERBB2, MYCN, EGFR) gets a row for each. Every cell divides by its own denominator — the patients in that cohort on whom that gene could be called. Copy-number rows are shown only where at least one cohort reaches 2%.

Alterationchl_sccc_2023
61 pts · exome or genome
TNFRSF8 SNV / small indel1.64%1/61
PDCD1 SNV / small indel3.28%2/61
CD274 SNV / small indel0%
PDCD1LG2 SNV / small indel1.64%1/61
JAK2 SNV / small indel0%
B2M SNV / small indel32.79%20/61
SOCS1 SNV / small indel62.3%38/61
TNFAIP3 SNV / small indel36.07%22/61
XPO1 SNV / small indel8.2%5/61
CIITA SNV / small indel4.92%3/61
REL SNV / small indel0%
MS4A1 SNV / small indel0%
ITPKB SNV / small indel27.87%17/61
GNA13 SNV / small indel26.23%16/61
IGLL5 SNV / small indel24.59%15/61
STAT6 SNV / small indel19.67%12/61
CENPB SNV / small indel19.67%12/61
FAM230A SNV / small indel18.03%11/61
CSF2RB SNV / small indel18.03%11/61
BCL7A SNV / small indel18.03%11/61
NFKB2 SNV / small indel13.11%8/61
MFHAS1 SNV / small indel13.11%8/61
KMT2D SNV / small indel13.11%8/61
H1-4 SNV / small indel13.11%8/61
ZFP36L1 SNV / small indel11.48%7/61
SDK2 SNV / small indel11.48%7/61
NFKBIE SNV / small indel11.48%7/61
LRRN3 SNV / small indel11.48%7/61
ACTB SNV / small indel11.48%7/61
RAB19 SNV / small indel9.84%6/61
PCDHGB6 SNV / small indel9.84%6/61
P2RY8 SNV / small indel9.84%6/61
LTBP3 SNV / small indel9.84%6/61
LTB SNV / small indel9.84%6/61
EGR1 SNV / small indel9.84%6/61
BTG1 SNV / small indel9.84%6/61
TRIOBP SNV / small indel8.2%5/61
TP53 SNV / small indel8.2%5/61
TINF2 SNV / small indel8.2%5/61
PTPN1 SNV / small indel8.2%5/61
POLE SNV / small indel8.2%5/61
FSIP2 SNV / small indel8.2%5/61
FAT1 SNV / small indel8.2%5/61
EEF1A1 SNV / small indel8.2%5/61
DYSF SNV / small indel8.2%5/61
DTX1 SNV / small indel8.2%5/61
CFAP157 SNV / small indel8.2%5/61
CCDC138 SNV / small indel8.2%5/61

observed — shade scales with frequency, full at 30% assayed, none found not on this cohort's panel cohort not readable

Key findings

SOCS1 is mutated in 38 of 61 patients in Classical Hodgkins Lymphoma (SCCC, Blood Cancer Discov 2023).
Numerator: 38 · Denominator: 61 · Frequency: 62.3% · Observed in 1 cohorts · Confidence: moderate · Source: chl_sccc_2023 · Retrieved: 2026-09-18

TNFAIP3 is mutated in 22 of 61 patients in Classical Hodgkins Lymphoma (SCCC, Blood Cancer Discov 2023).
Numerator: 22 · Denominator: 61 · Frequency: 36.07% · Observed in 1 cohorts · Confidence: moderate · Source: chl_sccc_2023 · Retrieved: 2026-09-18

B2M is mutated in 20 of 61 patients in Classical Hodgkins Lymphoma (SCCC, Blood Cancer Discov 2023).
Numerator: 20 · Denominator: 61 · Frequency: 32.79% · Observed in 1 cohorts · Confidence: moderate · Source: chl_sccc_2023 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, chl_sccc_2023; the matrix above keeps every cohort separate. "Curated" marks a gene the disease briefing lists as a target; the rest are here because they are among the most frequently mutated genes in the reference cohort. Recurrent changes are the reference cohort's commonest protein changes.

GeneWhy listedLargest alterationAltered / testedFrequencyWithout hypermutatedCohorts observedRange across cohortsRecurrent changes
TNFRSF8 curated target SNV / small indel 1 / 61 1.64% 1 / 1 1.64–1.64% R442S (n=1)
PDCD1 curated target SNV / small indel 2 / 61 3.28% 1 / 1 3.28–3.28% C123W (n=1), Q99* (n=1)
CD274 curated target SNV / small indel 0 / 61 0.0% 0 / 1 0.0–0.0% none recurrent
PDCD1LG2 curated target SNV / small indel 1 / 61 1.64% 1 / 1 1.64–1.64% H218Qfs*68 (n=1)
JAK2 curated target SNV / small indel 0 / 61 0.0% 0 / 1 0.0–0.0% none recurrent
B2M curated target SNV / small indel 20 / 61 32.79% 1 / 1 32.79–32.79% M1? (n=8), L12P (n=3), V9E (n=3), L15Ffs*41 (n=3), X23_splice (n=2)
SOCS1 curated target SNV / small indel 38 / 61 62.3% 1 / 1 62.3–62.3% G99V (n=2), R104C (n=2), Q175* (n=1), R127_F130del (n=1), A16Qfs*62 (n=1)
TNFAIP3 curated target SNV / small indel 22 / 61 36.07% 1 / 1 36.07–36.07% L626Efs*65 (n=1), X99_splice (n=1), E366Gfs*19 (n=1), C243Y (n=1), Q700Hfs*44 (n=1)
XPO1 curated target SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% E571K (n=5)
CIITA curated target SNV / small indel 3 / 61 4.92% 1 / 1 4.92–4.92% X18_splice (n=1), L694S (n=1), L13V (n=1), G10E (n=1)
REL curated target SNV / small indel 0 / 61 0.0% 0 / 1 0.0–0.0% none recurrent
MS4A1 curated target SNV / small indel 0 / 61 0.0% 0 / 1 0.0–0.0% none recurrent
ITPKB by frequency SNV / small indel 17 / 61 27.87% 1 / 1 27.87–27.87% G233R (n=1), W509* (n=1), S158T (n=1), R331* (n=1), L350M (n=1)
GNA13 by frequency SNV / small indel 16 / 61 26.23% 1 / 1 26.23–26.23% I149K (n=1), Y145S (n=1), S12Pfs*86 (n=1), E33Vfs*71 (n=1), S228* (n=1)
IGLL5 by frequency SNV / small indel 15 / 61 24.59% 1 / 1 24.59–24.59% P45T (n=1), M42K (n=1), M33T (n=1), V43I (n=1), M42I (n=1)
STAT6 by frequency SNV / small indel 12 / 61 19.67% 1 / 1 19.67–19.67% N417Y (n=9), D419G (n=2), D419Y (n=2), D419H (n=2), G416S (n=1)
CENPB by frequency SNV / small indel 12 / 61 19.67% 1 / 1 19.67–19.67% *18* (n=12)
FAM230A by frequency SNV / small indel 11 / 61 18.03% 1 / 1 18.03–18.03% V472I (n=1), S667L (n=1), D377H (n=1), T631S (n=1), Q362H (n=1)
CSF2RB by frequency SNV / small indel 11 / 61 18.03% 1 / 1 18.03–18.03% E788* (n=4), Q853* (n=1), Q809* (n=1), L825Ffs*7 (n=1), L825F (n=1)
BCL7A by frequency SNV / small indel 11 / 61 18.03% 1 / 1 18.03–18.03% W31R (n=2), I18V (n=1), X31_splice (n=1), R20W (n=1), R20T (n=1)
NFKB2 by frequency SNV / small indel 8 / 61 13.11% 1 / 1 13.11–13.11% D234N (n=6), P883A (n=1), S820N (n=1), Y285* (n=1), F306S (n=1)
MFHAS1 by frequency SNV / small indel 8 / 61 13.11% 1 / 1 13.11–13.11% E650D (n=1), A703_H708del (n=1), L109_L137del (n=1), L56F (n=1), P509L (n=1)
KMT2D by frequency SNV / small indel 8 / 61 13.11% 1 / 1 13.11–13.11% A963T (n=2), S3780Afs*50 (n=1), N2517Qfs*138 (n=1), L3542Vfs*13 (n=1), K4776R (n=1)
H1-4 by frequency SNV / small indel 8 / 61 13.11% 1 / 1 13.11–13.11% Y71* (n=1), K23del (n=1), K81N (n=1), P147H (n=1), L43F (n=1)
ZFP36L1 by frequency SNV / small indel 7 / 61 11.48% 1 / 1 11.48–11.48% N21K (n=1), R172C (n=1), A31V (n=1), M1? (n=1), A263S (n=1)
SDK2 by frequency SNV / small indel 7 / 61 11.48% 1 / 1 11.48–11.48% A1499G (n=4), T1496S (n=4), S1213T (n=1), Q142* (n=1), R664C (n=1)
NFKBIE by frequency SNV / small indel 7 / 61 11.48% 1 / 1 11.48–11.48% Y254Sfs*13 (n=6), M140L (n=1), K316Rfs*115 (n=1), K316* (n=1)
LRRN3 by frequency SNV / small indel 7 / 61 11.48% 1 / 1 11.48–11.48% N307S (n=1), V407I (n=1), N148D (n=1), L238F (n=1), S137P (n=1)
ACTB by frequency SNV / small indel 7 / 61 11.48% 1 / 1 11.48–11.48% A26V (n=2), K61T (n=1), G13D (n=1), K61N (n=1), S60N (n=1)
RAB19 by frequency SNV / small indel 6 / 61 9.84% 1 / 1 9.84–9.84% S184T (n=5), H113N (n=1)
PCDHGB6 by frequency SNV / small indel 6 / 61 9.84% 1 / 1 9.84–9.84% E523D (n=5), V771M (n=1)
P2RY8 by frequency SNV / small indel 6 / 61 9.84% 1 / 1 9.84–9.84% P128L (n=1), L184V (n=1), C144Y (n=1), R232W (n=1), H168D (n=1)
LTBP3 by frequency SNV / small indel 6 / 61 9.84% 1 / 1 9.84–9.84% P156R (n=2), G1233S (n=2), H600Y (n=1), Q86K (n=1)
LTB by frequency SNV / small indel 6 / 61 9.84% 1 / 1 9.84–9.84% P79S (n=1), H91Y (n=1), T56M (n=1), V55L (n=1), G94R (n=1)
EGR1 by frequency SNV / small indel 6 / 61 9.84% 1 / 1 9.84–9.84% V430A (n=1), K34N (n=1), N43S (n=1), A4T (n=1), L35V (n=1)
BTG1 by frequency SNV / small indel 6 / 61 9.84% 1 / 1 9.84–9.84% L37V (n=2), Q36H (n=1), E46Dfs*5 (n=1), E46G (n=1), T39S (n=1)
TRIOBP by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% E1631K (n=1), G1632D (n=1), R1353W (n=1), X1793_splice (n=1), I2101S (n=1)
TP53 by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% R282W (n=2), R175H (n=1), R248Q (n=1), Y205F (n=1)
TINF2 by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% T275P (n=4), R276S (n=3)
PTPN1 by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% R199* (n=1), T84I (n=1), Y66* (n=1), E130* (n=1), X363_splice (n=1)
POLE by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% E1749V (n=2), I293T (n=1), R1879H (n=1), F274Y (n=1)
FSIP2 by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% S5701L (n=1), K5056T (n=1), D1225Y (n=1), N1316T (n=1), L4956V (n=1)
FAT1 by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% I2276L (n=1), L2554R (n=1), L1936F (n=1), D144V (n=1), V3563I (n=1)
EEF1A1 by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% D97N (n=2), D252N (n=1), D252H (n=1), D252Y (n=1)
DYSF by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% X429_splice (n=1), E864* (n=1), S1173F (n=1), M626I (n=1), E955K (n=1)
DTX1 by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% H47L (n=1), E110Q (n=1), R94H (n=1), V25A (n=1), P19L (n=1)
CFAP157 by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% Q122H (n=3), E120V (n=3), V126L (n=2)
CCDC138 by frequency SNV / small indel 5 / 61 8.2% 1 / 1 8.2–8.2% S473A (n=4), H472N (n=3), I187M (n=1)

Cohorts

Listed in the disease profile, not searched: a name search returns the same patients under several accessions. Patients are unique patient ids in the study's sequenced sample list. Hypermutated: more than ten times the cohort's median non-silent mutations per sample, and at least 100.

CohortAccessionPatientsSamples sequenced / in studyAssayPanels (samples)BuildProfiles readHypermutated patientsMedian mutations / sample
Classical Hodgkins Lymphoma (SCCC, Blood Cancer Discov 2023) reference
Classical Hodgkins Lymphoma (SCCC, Blood Cancer Discov 2023)
chl_sccc_202361 observed61 / 61exome or genomeWES (61)hg19SNV, small indel0111

Copy-number events

Discrete calls from each study's copy-number profile: 2 is high-level amplification, −2 deep deletion. Gains and shallow losses are not counted. Denominators are the cohort's copy-number sample list, which differs from its sequenced list. Rows at 2% or more.

GeneEventObserved patientsTested patientsFrequencyCohortProfile
No copy-number profile reached 2% for any listed gene, or no cohort carries one.

Cohort-aware frequencies

Each row is calculated from unique patients in that study's sequenced sample list. The range is descriptive; no pooled estimate is shown because cross-study overlap and assay comparability have not been checked.

GeneRangePer cohort (altered / tested)
TNFRSF81.64–1.64%chl_sccc_2023: 1/61 (1.64%)
PDCD13.28–3.28%chl_sccc_2023: 2/61 (3.28%)
CD2740.0–0.0%chl_sccc_2023: 0/61 (0.0%)
PDCD1LG21.64–1.64%chl_sccc_2023: 1/61 (1.64%)
JAK20.0–0.0%chl_sccc_2023: 0/61 (0.0%)
B2M32.79–32.79%chl_sccc_2023: 20/61 (32.79%)
SOCS162.3–62.3%chl_sccc_2023: 38/61 (62.3%)
TNFAIP336.07–36.07%chl_sccc_2023: 22/61 (36.07%)
XPO18.2–8.2%chl_sccc_2023: 5/61 (8.2%)
CIITA4.92–4.92%chl_sccc_2023: 3/61 (4.92%)
REL0.0–0.0%chl_sccc_2023: 0/61 (0.0%)
MS4A10.0–0.0%chl_sccc_2023: 0/61 (0.0%)
ITPKB27.87–27.87%chl_sccc_2023: 17/61 (27.87%)
GNA1326.23–26.23%chl_sccc_2023: 16/61 (26.23%)
IGLL524.59–24.59%chl_sccc_2023: 15/61 (24.59%)
STAT619.67–19.67%chl_sccc_2023: 12/61 (19.67%)
CENPB19.67–19.67%chl_sccc_2023: 12/61 (19.67%)
FAM230A18.03–18.03%chl_sccc_2023: 11/61 (18.03%)
CSF2RB18.03–18.03%chl_sccc_2023: 11/61 (18.03%)
BCL7A18.03–18.03%chl_sccc_2023: 11/61 (18.03%)
NFKB213.11–13.11%chl_sccc_2023: 8/61 (13.11%)
MFHAS113.11–13.11%chl_sccc_2023: 8/61 (13.11%)
KMT2D13.11–13.11%chl_sccc_2023: 8/61 (13.11%)
H1-413.11–13.11%chl_sccc_2023: 8/61 (13.11%)
ZFP36L111.48–11.48%chl_sccc_2023: 7/61 (11.48%)
SDK211.48–11.48%chl_sccc_2023: 7/61 (11.48%)
NFKBIE11.48–11.48%chl_sccc_2023: 7/61 (11.48%)
LRRN311.48–11.48%chl_sccc_2023: 7/61 (11.48%)
ACTB11.48–11.48%chl_sccc_2023: 7/61 (11.48%)
RAB199.84–9.84%chl_sccc_2023: 6/61 (9.84%)
PCDHGB69.84–9.84%chl_sccc_2023: 6/61 (9.84%)
P2RY89.84–9.84%chl_sccc_2023: 6/61 (9.84%)
LTBP39.84–9.84%chl_sccc_2023: 6/61 (9.84%)
LTB9.84–9.84%chl_sccc_2023: 6/61 (9.84%)
EGR19.84–9.84%chl_sccc_2023: 6/61 (9.84%)
BTG19.84–9.84%chl_sccc_2023: 6/61 (9.84%)
TRIOBP8.2–8.2%chl_sccc_2023: 5/61 (8.2%)
TP538.2–8.2%chl_sccc_2023: 5/61 (8.2%)
TINF28.2–8.2%chl_sccc_2023: 5/61 (8.2%)
PTPN18.2–8.2%chl_sccc_2023: 5/61 (8.2%)
POLE8.2–8.2%chl_sccc_2023: 5/61 (8.2%)
FSIP28.2–8.2%chl_sccc_2023: 5/61 (8.2%)
FAT18.2–8.2%chl_sccc_2023: 5/61 (8.2%)
EEF1A18.2–8.2%chl_sccc_2023: 5/61 (8.2%)
DYSF8.2–8.2%chl_sccc_2023: 5/61 (8.2%)
DTX18.2–8.2%chl_sccc_2023: 5/61 (8.2%)
CFAP1578.2–8.2%chl_sccc_2023: 5/61 (8.2%)
CCDC1388.2–8.2%chl_sccc_2023: 5/61 (8.2%)

What this page does not do

Structural variants
Read the structural-variant profiles the studies carry; fusions are the defining event in several of these diseases.

Context
Stage, subtype, age and treatment line are not attached to any count; the cohorts differ on all four.

Interpretation
Activating versus inactivating, actionable versus not, and evidence level are not inferred here; the briefing's target table carries the drug and trial facts.

Limitations

How a machine should read this page

  1. Denominators: every frequency divides by the patients in one named cohort on whom the gene could be called; there is no disease-wide figure.
  2. Missing values: not_assayed (the panel did not carry the gene), not_observed (assayed, none found) and not_evaluable (the cohort could not be read) are three different facts and are never converted to zero.
  3. Counting: patients, not samples; several samples from one patient count once. Non-silent calls only.
  4. Copy number: a separate assay with a separate roster; discrete calls at ±2 only.
  5. Hypermutation: flagged per cohort; the headline keeps all patients and the frequency without them is reported beside it.
  6. Provenance: every value carries the study id, the retrieval date and the processing version; the source is the cBioPortal public API.

Machine endpoints: full landscape · genes · cohorts · the disease's own facts: /disease/hodgkin-lymphoma.json.

Built by the BioTransfer briefings pipeline from the cBioPortal public API. The neuroblastoma page was assembled by hand and set the rules this page follows; how these are built.