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Disease intelligence · mutation landscape

Medulloblastoma mutation landscape

How often each gene is altered in medulloblastoma, 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: mbl_dkfz_2017 · JSON: /disease/medulloblastoma/mutations.json · Back to the briefing

Answer block

In Medulloblastoma (DKFZ, Nature 2017) (491 sequenced patients, exome or genome), the most frequently altered of the 45 genes shown are PTCH1 10.39%, DDX3X 8.76%, KMT2D 6.92%, CTNNB1 6.52%, KMT2C 5.91%. Each figure divides by the patients on whom that gene could be called.

Of the briefing's 12 curated targets, 5 are altered in under 2% of this cohort (MYC, MYCN, OTX2, GFI1, PRDM6): targets by expression, dependency or drug label, not by mutation. Frequency is not targetability, in either direction.

2 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%.

Alterationmbl_dkfz_2017
491 pts · exome or genome
mbl_icgc
125 pts · exome or genome
SMO SNV / small indel2.65%13/4910.8%1/125
PTCH1 SNV / small indel10.39%51/4916.4%8/125
CTNNB1 SNV / small indel6.52%32/49112.0%15/125
MYC SNV / small indel0%0%
MYCN SNV / small indel0%1.6%2/125
TP53 SNV / small indel3.46%17/4914.0%5/125
KMT2D SNV / small indel6.92%34/4914.8%6/125
OTX2 SNV / small indel0%0%
DDX3X SNV / small indel8.76%43/4918.0%10/125
KBTBD4 SNV / small indel3.87%19/4910%
GFI1 SNV / small indel0%0%
PRDM6 SNV / small indel0%0%
KMT2C SNV / small indel5.91%29/4912.4%3/125
SMARCA4 SNV / small indel5.09%25/4914.8%6/125
KDM6A SNV / small indel3.46%17/4914.0%5/125
CREBBP SNV / small indel3.05%15/4910.8%1/125
ZMYM3 SNV / small indel2.85%14/4910%
ZIC1 SNV / small indel2.44%12/4910.8%1/125
TCF4 SNV / small indel2.44%12/4910%
NME5 SNV / small indel2.24%11/4910%
NIN SNV / small indel2.24%11/4910%
CDK1 SNV / small indel2.24%11/4910%
RSBN1L SNV / small indel2.04%10/4910%
LAMA2 SNV / small indel2.04%10/4910.8%1/125
GSE1 SNV / small indel2.04%10/4910%
FBXW7 SNV / small indel2.04%10/4910.8%1/125
PIK3CA SNV / small indel1.83%9/4911.6%2/125
CTDNEP1 SNV / small indel1.83%9/4913.2%4/125
BCOR SNV / small indel1.63%8/4911.6%2/125
ZFHX3 SNV / small indel1.43%7/4910%
SUFU SNV / small indel1.43%7/4910%
STAG2 SNV / small indel1.43%7/4910.8%1/125
SPHKAP SNV / small indel1.43%7/4910%
RTTN SNV / small indel1.43%7/4910%
RBM5 SNV / small indel1.43%7/4910%
PRKAR1A SNV / small indel1.43%7/4910%
ARID1A SNV / small indel1.43%7/4910%
SCN4A SNV / small indel1.22%6/4910.8%1/125
PCDH19 SNV / small indel1.22%6/4910%
PABPC1 SNV / small indel1.22%6/4910%
MED12 SNV / small indel1.22%6/4910%
LDB1 SNV / small indel1.22%6/4911.6%2/125
KIF26B SNV / small indel1.22%6/4910%
KDM3B SNV / small indel1.22%6/4910.8%1/125
IDH1 SNV / small indel1.22%6/4910%

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

Key findings

PTCH1 is mutated in 51 of 491 patients in Medulloblastoma (DKFZ, Nature 2017).
Numerator: 51 · Denominator: 491 · Frequency: 10.39% · Observed in 2 cohorts · Confidence: moderate · Source: mbl_dkfz_2017 · Retrieved: 2026-09-18

DDX3X is mutated in 43 of 491 patients in Medulloblastoma (DKFZ, Nature 2017).
Numerator: 43 · Denominator: 491 · Frequency: 8.76% · Observed in 2 cohorts · Confidence: moderate · Source: mbl_dkfz_2017 · Retrieved: 2026-09-18

KMT2D is mutated in 34 of 491 patients in Medulloblastoma (DKFZ, Nature 2017).
Numerator: 34 · Denominator: 491 · Frequency: 6.92% · Observed in 2 cohorts · Confidence: moderate · Source: mbl_dkfz_2017 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, mbl_dkfz_2017; 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
SMO curated target SNV / small indel 13 / 491 2.65% 2 / 2 0.8–2.65% L412F (n=8), W535L (n=3), S278I (n=1), V411A (n=1), G416D (n=1)
PTCH1 curated target SNV / small indel 51 / 491 10.39% 2 / 2 6.4–10.39% X1150_splice (n=2), S489L (n=1), V582del (n=1), L450Pfs*5 (n=1), G1163_V1164insSSPSSA (n=1)
CTNNB1 curated target SNV / small indel 32 / 491 6.52% 2 / 2 6.52–12.0% S33F (n=6), S33C (n=5), G34R (n=4), S33Y (n=3), S37F (n=2)
MYC curated target SNV / small indel 0 / 491 0.0% 0 / 2 0.0–0.0% none recurrent
MYCN curated target SNV / small indel 0 / 491 0.0% 1 / 2 0.0–1.6% none recurrent
TP53 curated target SNV / small indel 17 / 491 3.46% 2 / 2 3.46–4.0% R248Q (n=2), R282W (n=2), R273C (n=2), F54Sfs*69 (n=1), L265Wfs*80 (n=1)
KMT2D curated target SNV / small indel 34 / 491 6.92% 2 / 2 4.8–6.92% Y2450* (n=1), R5048C (n=1), R3321* (n=1), G1289Pfs*34 (n=1), P3375S (n=1)
OTX2 curated target SNV / small indel 0 / 491 0.0% 0 / 2 0.0–0.0% none recurrent
DDX3X curated target SNV / small indel 43 / 491 8.76% 2 / 2 8.0–8.76% R351W (n=3), M380I (n=3), T275M (n=2), A502del (n=1), V496M (n=1)
KBTBD4 curated target SNV / small indel 19 / 491 3.87% 1 / 2 0.0–3.87% R296_R297insHG (n=5), P295_R296insH (n=5), I294Tfs*13 (n=3), R296Lfs*61 (n=3), I294_R296delinsTTYKL (n=2)
GFI1 curated target SNV / small indel 0 / 491 0.0% 0 / 2 0.0–0.0% none recurrent
PRDM6 curated target SNV / small indel 0 / 491 0.0% 0 / 2 0.0–0.0% none recurrent
KMT2C by frequency SNV / small indel 29 / 491 5.91% 2 / 2 2.4–5.91% T1636P (n=7), E2798Gfs*11 (n=4), I4084L (n=3), R4400W (n=1), R1890* (n=1)
SMARCA4 by frequency SNV / small indel 25 / 491 5.09% 2 / 2 4.8–5.09% T910M (n=5), R1135W (n=2), L783P (n=1), T910A (n=1), M781I (n=1)
KDM6A by frequency SNV / small indel 17 / 491 3.46% 2 / 2 3.46–4.0% R1351* (n=3), X188_splice (n=1), R1111P (n=1), X1070_splice (n=1), K75Gfs*8 (n=1)
CREBBP by frequency SNV / small indel 15 / 491 3.05% 2 / 2 0.8–3.05% R1446L (n=2), R1319* (n=1), R1800_V1801insHPARR* (n=1), S1680del (n=1), Q1491K (n=1)
ZMYM3 by frequency SNV / small indel 14 / 491 2.85% 1 / 2 0.0–2.85% L85Afs*4 (n=1), G1221Wfs*6 (n=1), P1205L (n=1), G650V (n=1), P48Lfs*65 (n=1)
ZIC1 by frequency SNV / small indel 12 / 491 2.44% 2 / 2 0.8–2.44% S346R (n=2), N441S (n=1), S403F (n=1), I321V (n=1), A285T (n=1)
TCF4 by frequency SNV / small indel 12 / 491 2.44% 1 / 2 0.0–2.44% D486Pfs*40 (n=1), N569K (n=1), R572* (n=1), R174* (n=1), R157* (n=1)
NME5 by frequency SNV / small indel 11 / 491 2.24% 1 / 2 0.0–2.24% I23S (n=11)
NIN by frequency SNV / small indel 11 / 491 2.24% 1 / 2 0.0–2.24% T1871P (n=11)
CDK1 by frequency SNV / small indel 11 / 491 2.24% 1 / 2 0.0–2.24% V124G (n=10), N225K (n=1)
RSBN1L by frequency SNV / small indel 10 / 491 2.04% 1 / 2 0.0–2.04% L432V (n=10)
LAMA2 by frequency SNV / small indel 10 / 491 2.04% 2 / 2 0.8–2.04% K1825I (n=8), C1011Y (n=1), K1158N (n=1)
GSE1 by frequency SNV / small indel 10 / 491 2.04% 1 / 2 0.0–2.04% V123Rfs*17 (n=1), N871Tfs*2 (n=1), P1093Lfs*48 (n=1), E824Rfs*29 (n=1), R885Tfs*3 (n=1)
FBXW7 by frequency SNV / small indel 10 / 491 2.04% 2 / 2 0.8–2.04% G687E (n=2), R465H (n=2), L387* (n=1), R479Q (n=1), X242_splice (n=1)
PIK3CA by frequency SNV / small indel 9 / 491 1.83% 2 / 2 1.6–1.83% H1047R (n=2), H1047L (n=1), C420R (n=1), E542K (n=1), C378R (n=1)
CTDNEP1 by frequency SNV / small indel 9 / 491 1.83% 2 / 2 1.83–3.2% V108Cfs*3 (n=5), E119* (n=1), Q39* (n=1), X120_splice (n=1), R42* (n=1)
BCOR by frequency SNV / small indel 8 / 491 1.63% 2 / 2 1.6–1.63% R498_S499delinsT (n=1), K1135Tfs*23 (n=1), A570Gfs*20 (n=1), S1358Y (n=1), W1598* (n=1)
ZFHX3 by frequency SNV / small indel 7 / 491 1.43% 1 / 2 0.0–1.43% Q1741del (n=2), G3512del (n=1), G179Afs*22 (n=1), P2481L (n=1), T1775P (n=1)
SUFU by frequency SNV / small indel 7 / 491 1.43% 1 / 2 0.0–1.43% E437* (n=1), P12Rfs*90 (n=1), I291* (n=1), A25Gfs*23 (n=1), T190Nfs*25 (n=1)
STAG2 by frequency SNV / small indel 7 / 491 1.43% 2 / 2 0.8–1.43% R259* (n=2), X435_splice (n=1), X298_splice (n=1), R604* (n=1), X1093_splice (n=1)
SPHKAP by frequency SNV / small indel 7 / 491 1.43% 1 / 2 0.0–1.43% S1460T (n=5), S823Y (n=1), V47D (n=1)
RTTN by frequency SNV / small indel 7 / 491 1.43% 1 / 2 0.0–1.43% N1041T (n=4), G1390* (n=1), E683K (n=1), S1161Y (n=1)
RBM5 by frequency SNV / small indel 7 / 491 1.43% 1 / 2 0.0–1.43% *816fs (n=7)
PRKAR1A by frequency SNV / small indel 7 / 491 1.43% 1 / 2 0.0–1.43% E326V (n=2), R243Q (n=2), G171E (n=1), L203P (n=1), E326* (n=1)
ARID1A by frequency SNV / small indel 7 / 491 1.43% 1 / 2 0.0–1.43% R1722* (n=1), Q2207* (n=1), Q758Rfs*75 (n=1), S2256* (n=1), A1616V (n=1)
SCN4A by frequency SNV / small indel 6 / 491 1.22% 2 / 2 0.8–1.22% G1464W (n=1), A204V (n=1), M1753L (n=1), G1671R (n=1), F287L (n=1)
PCDH19 by frequency SNV / small indel 6 / 491 1.22% 1 / 2 0.0–1.22% E2A (n=1), A1086D (n=1), A35T (n=1), A303T (n=1), G770A (n=1)
PABPC1 by frequency SNV / small indel 6 / 491 1.22% 1 / 2 0.0–1.22% R278C (n=3), F335Lfs*19 (n=2), Q273_L276del (n=2), E345* (n=1), M251I (n=1)
MED12 by frequency SNV / small indel 6 / 491 1.22% 1 / 2 0.0–1.22% T37_A38insV (n=1), E1450del (n=1), E172K (n=1), Q2076del (n=1), G44S (n=1)
LDB1 by frequency SNV / small indel 6 / 491 1.22% 2 / 2 1.22–1.6% R193W (n=1), X286_splice (n=1), R121W (n=1), E355* (n=1), X336_splice (n=1)
KIF26B by frequency SNV / small indel 6 / 491 1.22% 1 / 2 0.0–1.22% R1227W (n=1), P942H (n=1), P1986H (n=1), P1013L (n=1), R904Q (n=1)
KDM3B by frequency SNV / small indel 6 / 491 1.22% 2 / 2 0.8–1.22% E1029Q (n=1), Q222* (n=1), R1022* (n=1), R1028W (n=1), X1501_splice (n=1)
IDH1 by frequency SNV / small indel 6 / 491 1.22% 1 / 2 0.0–1.22% R132C (n=6)

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
Medulloblastoma (DKFZ, Nature 2017) reference
Medulloblastoma (DKFZ, Nature 2017)
mbl_dkfz_2017491 observed491 / 491exome or genomeWES (491)hg19SNV, small indel, structural variant (profile present, not read)03
Medulloblastoma (ICGC, Nature 2012)
Medulloblastoma (ICGC, Nature 2012)
mbl_icgc125 observed125 / 125exome or genomeWES (125)hg19SNV, small indel04

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)
SMO0.8–2.65%mbl_dkfz_2017: 13/491 (2.65%) · mbl_icgc: 1/125 (0.8%)
PTCH16.4–10.39%mbl_dkfz_2017: 51/491 (10.39%) · mbl_icgc: 8/125 (6.4%)
CTNNB16.52–12.0%mbl_dkfz_2017: 32/491 (6.52%) · mbl_icgc: 15/125 (12.0%)
MYC0.0–0.0%mbl_dkfz_2017: 0/491 (0.0%) · mbl_icgc: 0/125 (0.0%)
MYCN0.0–1.6%mbl_dkfz_2017: 0/491 (0.0%) · mbl_icgc: 2/125 (1.6%)
TP533.46–4.0%mbl_dkfz_2017: 17/491 (3.46%) · mbl_icgc: 5/125 (4.0%)
KMT2D4.8–6.92%mbl_dkfz_2017: 34/491 (6.92%) · mbl_icgc: 6/125 (4.8%)
OTX20.0–0.0%mbl_dkfz_2017: 0/491 (0.0%) · mbl_icgc: 0/125 (0.0%)
DDX3X8.0–8.76%mbl_dkfz_2017: 43/491 (8.76%) · mbl_icgc: 10/125 (8.0%)
KBTBD40.0–3.87%mbl_dkfz_2017: 19/491 (3.87%) · mbl_icgc: 0/125 (0.0%)
GFI10.0–0.0%mbl_dkfz_2017: 0/491 (0.0%) · mbl_icgc: 0/125 (0.0%)
PRDM60.0–0.0%mbl_dkfz_2017: 0/491 (0.0%) · mbl_icgc: 0/125 (0.0%)
KMT2C2.4–5.91%mbl_dkfz_2017: 29/491 (5.91%) · mbl_icgc: 3/125 (2.4%)
SMARCA44.8–5.09%mbl_dkfz_2017: 25/491 (5.09%) · mbl_icgc: 6/125 (4.8%)
KDM6A3.46–4.0%mbl_dkfz_2017: 17/491 (3.46%) · mbl_icgc: 5/125 (4.0%)
CREBBP0.8–3.05%mbl_dkfz_2017: 15/491 (3.05%) · mbl_icgc: 1/125 (0.8%)
ZMYM30.0–2.85%mbl_dkfz_2017: 14/491 (2.85%) · mbl_icgc: 0/125 (0.0%)
ZIC10.8–2.44%mbl_dkfz_2017: 12/491 (2.44%) · mbl_icgc: 1/125 (0.8%)
TCF40.0–2.44%mbl_dkfz_2017: 12/491 (2.44%) · mbl_icgc: 0/125 (0.0%)
NME50.0–2.24%mbl_dkfz_2017: 11/491 (2.24%) · mbl_icgc: 0/125 (0.0%)
NIN0.0–2.24%mbl_dkfz_2017: 11/491 (2.24%) · mbl_icgc: 0/125 (0.0%)
CDK10.0–2.24%mbl_dkfz_2017: 11/491 (2.24%) · mbl_icgc: 0/125 (0.0%)
RSBN1L0.0–2.04%mbl_dkfz_2017: 10/491 (2.04%) · mbl_icgc: 0/125 (0.0%)
LAMA20.8–2.04%mbl_dkfz_2017: 10/491 (2.04%) · mbl_icgc: 1/125 (0.8%)
GSE10.0–2.04%mbl_dkfz_2017: 10/491 (2.04%) · mbl_icgc: 0/125 (0.0%)
FBXW70.8–2.04%mbl_dkfz_2017: 10/491 (2.04%) · mbl_icgc: 1/125 (0.8%)
PIK3CA1.6–1.83%mbl_dkfz_2017: 9/491 (1.83%) · mbl_icgc: 2/125 (1.6%)
CTDNEP11.83–3.2%mbl_dkfz_2017: 9/491 (1.83%) · mbl_icgc: 4/125 (3.2%)
BCOR1.6–1.63%mbl_dkfz_2017: 8/491 (1.63%) · mbl_icgc: 2/125 (1.6%)
ZFHX30.0–1.43%mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%)
SUFU0.0–1.43%mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%)
STAG20.8–1.43%mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 1/125 (0.8%)
SPHKAP0.0–1.43%mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%)
RTTN0.0–1.43%mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%)
RBM50.0–1.43%mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%)
PRKAR1A0.0–1.43%mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%)
ARID1A0.0–1.43%mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%)
SCN4A0.8–1.22%mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 1/125 (0.8%)
PCDH190.0–1.22%mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 0/125 (0.0%)
PABPC10.0–1.22%mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 0/125 (0.0%)
MED120.0–1.22%mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 0/125 (0.0%)
LDB11.22–1.6%mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 2/125 (1.6%)
KIF26B0.0–1.22%mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 0/125 (0.0%)
KDM3B0.8–1.22%mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 1/125 (0.8%)
IDH10.0–1.22%mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 0/125 (0.0%)

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/medulloblastoma.json.

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