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.
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%.
| Alteration | mbl_dkfz_2017 491 pts · exome or genome | mbl_icgc 125 pts · exome or genome |
|---|---|---|
| SMO SNV / small indel | 2.65%13/491 | 0.8%1/125 |
| PTCH1 SNV / small indel | 10.39%51/491 | 6.4%8/125 |
| CTNNB1 SNV / small indel | 6.52%32/491 | 12.0%15/125 |
| MYC SNV / small indel | 0% | 0% |
| MYCN SNV / small indel | 0% | 1.6%2/125 |
| TP53 SNV / small indel | 3.46%17/491 | 4.0%5/125 |
| KMT2D SNV / small indel | 6.92%34/491 | 4.8%6/125 |
| OTX2 SNV / small indel | 0% | 0% |
| DDX3X SNV / small indel | 8.76%43/491 | 8.0%10/125 |
| KBTBD4 SNV / small indel | 3.87%19/491 | 0% |
| GFI1 SNV / small indel | 0% | 0% |
| PRDM6 SNV / small indel | 0% | 0% |
| KMT2C SNV / small indel | 5.91%29/491 | 2.4%3/125 |
| SMARCA4 SNV / small indel | 5.09%25/491 | 4.8%6/125 |
| KDM6A SNV / small indel | 3.46%17/491 | 4.0%5/125 |
| CREBBP SNV / small indel | 3.05%15/491 | 0.8%1/125 |
| ZMYM3 SNV / small indel | 2.85%14/491 | 0% |
| ZIC1 SNV / small indel | 2.44%12/491 | 0.8%1/125 |
| TCF4 SNV / small indel | 2.44%12/491 | 0% |
| NME5 SNV / small indel | 2.24%11/491 | 0% |
| NIN SNV / small indel | 2.24%11/491 | 0% |
| CDK1 SNV / small indel | 2.24%11/491 | 0% |
| RSBN1L SNV / small indel | 2.04%10/491 | 0% |
| LAMA2 SNV / small indel | 2.04%10/491 | 0.8%1/125 |
| GSE1 SNV / small indel | 2.04%10/491 | 0% |
| FBXW7 SNV / small indel | 2.04%10/491 | 0.8%1/125 |
| PIK3CA SNV / small indel | 1.83%9/491 | 1.6%2/125 |
| CTDNEP1 SNV / small indel | 1.83%9/491 | 3.2%4/125 |
| BCOR SNV / small indel | 1.63%8/491 | 1.6%2/125 |
| ZFHX3 SNV / small indel | 1.43%7/491 | 0% |
| SUFU SNV / small indel | 1.43%7/491 | 0% |
| STAG2 SNV / small indel | 1.43%7/491 | 0.8%1/125 |
| SPHKAP SNV / small indel | 1.43%7/491 | 0% |
| RTTN SNV / small indel | 1.43%7/491 | 0% |
| RBM5 SNV / small indel | 1.43%7/491 | 0% |
| PRKAR1A SNV / small indel | 1.43%7/491 | 0% |
| ARID1A SNV / small indel | 1.43%7/491 | 0% |
| SCN4A SNV / small indel | 1.22%6/491 | 0.8%1/125 |
| PCDH19 SNV / small indel | 1.22%6/491 | 0% |
| PABPC1 SNV / small indel | 1.22%6/491 | 0% |
| MED12 SNV / small indel | 1.22%6/491 | 0% |
| LDB1 SNV / small indel | 1.22%6/491 | 1.6%2/125 |
| KIF26B SNV / small indel | 1.22%6/491 | 0% |
| KDM3B SNV / small indel | 1.22%6/491 | 0.8%1/125 |
| IDH1 SNV / small indel | 1.22%6/491 | 0% |
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).
DDX3X is mutated in 43 of 491 patients in Medulloblastoma (DKFZ, Nature 2017).
KMT2D is mutated in 34 of 491 patients in Medulloblastoma (DKFZ, Nature 2017).
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.
| Gene | Why listed | Largest alteration | Altered / tested | Frequency | Without hypermutated | Cohorts observed | Range across cohorts | Recurrent 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.
| Cohort | Accession | Patients | Samples sequenced / in study | Assay | Panels (samples) | Build | Profiles read | Hypermutated patients | Median mutations / sample |
|---|---|---|---|---|---|---|---|---|---|
| Medulloblastoma (DKFZ, Nature 2017) reference | mbl_dkfz_2017 | 491 observed | 491 / 491 | exome or genome | WES (491) | hg19 | SNV, small indel, structural variant (profile present, not read) | 0 | 3 |
| Medulloblastoma (ICGC, Nature 2012) | mbl_icgc | 125 observed | 125 / 125 | exome or genome | WES (125) | hg19 | SNV, small indel | 0 | 4 |
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.
| Gene | Event | Observed patients | Tested patients | Frequency | Cohort | Profile |
|---|---|---|---|---|---|---|
| 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.
| Gene | Range | Per cohort (altered / tested) |
|---|---|---|
| SMO | 0.8–2.65% | mbl_dkfz_2017: 13/491 (2.65%) · mbl_icgc: 1/125 (0.8%) |
| PTCH1 | 6.4–10.39% | mbl_dkfz_2017: 51/491 (10.39%) · mbl_icgc: 8/125 (6.4%) |
| CTNNB1 | 6.52–12.0% | mbl_dkfz_2017: 32/491 (6.52%) · mbl_icgc: 15/125 (12.0%) |
| MYC | 0.0–0.0% | mbl_dkfz_2017: 0/491 (0.0%) · mbl_icgc: 0/125 (0.0%) |
| MYCN | 0.0–1.6% | mbl_dkfz_2017: 0/491 (0.0%) · mbl_icgc: 2/125 (1.6%) |
| TP53 | 3.46–4.0% | mbl_dkfz_2017: 17/491 (3.46%) · mbl_icgc: 5/125 (4.0%) |
| KMT2D | 4.8–6.92% | mbl_dkfz_2017: 34/491 (6.92%) · mbl_icgc: 6/125 (4.8%) |
| OTX2 | 0.0–0.0% | mbl_dkfz_2017: 0/491 (0.0%) · mbl_icgc: 0/125 (0.0%) |
| DDX3X | 8.0–8.76% | mbl_dkfz_2017: 43/491 (8.76%) · mbl_icgc: 10/125 (8.0%) |
| KBTBD4 | 0.0–3.87% | mbl_dkfz_2017: 19/491 (3.87%) · mbl_icgc: 0/125 (0.0%) |
| GFI1 | 0.0–0.0% | mbl_dkfz_2017: 0/491 (0.0%) · mbl_icgc: 0/125 (0.0%) |
| PRDM6 | 0.0–0.0% | mbl_dkfz_2017: 0/491 (0.0%) · mbl_icgc: 0/125 (0.0%) |
| KMT2C | 2.4–5.91% | mbl_dkfz_2017: 29/491 (5.91%) · mbl_icgc: 3/125 (2.4%) |
| SMARCA4 | 4.8–5.09% | mbl_dkfz_2017: 25/491 (5.09%) · mbl_icgc: 6/125 (4.8%) |
| KDM6A | 3.46–4.0% | mbl_dkfz_2017: 17/491 (3.46%) · mbl_icgc: 5/125 (4.0%) |
| CREBBP | 0.8–3.05% | mbl_dkfz_2017: 15/491 (3.05%) · mbl_icgc: 1/125 (0.8%) |
| ZMYM3 | 0.0–2.85% | mbl_dkfz_2017: 14/491 (2.85%) · mbl_icgc: 0/125 (0.0%) |
| ZIC1 | 0.8–2.44% | mbl_dkfz_2017: 12/491 (2.44%) · mbl_icgc: 1/125 (0.8%) |
| TCF4 | 0.0–2.44% | mbl_dkfz_2017: 12/491 (2.44%) · mbl_icgc: 0/125 (0.0%) |
| NME5 | 0.0–2.24% | mbl_dkfz_2017: 11/491 (2.24%) · mbl_icgc: 0/125 (0.0%) |
| NIN | 0.0–2.24% | mbl_dkfz_2017: 11/491 (2.24%) · mbl_icgc: 0/125 (0.0%) |
| CDK1 | 0.0–2.24% | mbl_dkfz_2017: 11/491 (2.24%) · mbl_icgc: 0/125 (0.0%) |
| RSBN1L | 0.0–2.04% | mbl_dkfz_2017: 10/491 (2.04%) · mbl_icgc: 0/125 (0.0%) |
| LAMA2 | 0.8–2.04% | mbl_dkfz_2017: 10/491 (2.04%) · mbl_icgc: 1/125 (0.8%) |
| GSE1 | 0.0–2.04% | mbl_dkfz_2017: 10/491 (2.04%) · mbl_icgc: 0/125 (0.0%) |
| FBXW7 | 0.8–2.04% | mbl_dkfz_2017: 10/491 (2.04%) · mbl_icgc: 1/125 (0.8%) |
| PIK3CA | 1.6–1.83% | mbl_dkfz_2017: 9/491 (1.83%) · mbl_icgc: 2/125 (1.6%) |
| CTDNEP1 | 1.83–3.2% | mbl_dkfz_2017: 9/491 (1.83%) · mbl_icgc: 4/125 (3.2%) |
| BCOR | 1.6–1.63% | mbl_dkfz_2017: 8/491 (1.63%) · mbl_icgc: 2/125 (1.6%) |
| ZFHX3 | 0.0–1.43% | mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%) |
| SUFU | 0.0–1.43% | mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%) |
| STAG2 | 0.8–1.43% | mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 1/125 (0.8%) |
| SPHKAP | 0.0–1.43% | mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%) |
| RTTN | 0.0–1.43% | mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%) |
| RBM5 | 0.0–1.43% | mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%) |
| PRKAR1A | 0.0–1.43% | mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%) |
| ARID1A | 0.0–1.43% | mbl_dkfz_2017: 7/491 (1.43%) · mbl_icgc: 0/125 (0.0%) |
| SCN4A | 0.8–1.22% | mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 1/125 (0.8%) |
| PCDH19 | 0.0–1.22% | mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 0/125 (0.0%) |
| PABPC1 | 0.0–1.22% | mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 0/125 (0.0%) |
| MED12 | 0.0–1.22% | mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 0/125 (0.0%) |
| LDB1 | 1.22–1.6% | mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 2/125 (1.6%) |
| KIF26B | 0.0–1.22% | mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 0/125 (0.0%) |
| KDM3B | 0.8–1.22% | mbl_dkfz_2017: 6/491 (1.22%) · mbl_icgc: 1/125 (0.8%) |
| IDH1 | 0.0–1.22% | 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
- A cBioPortal public-API snapshot retrieved 2026-09-18; the page does not refresh source data at request time.
- Counts are patients with at least one non-silent call in the study's sequenced sample list; silent, intronic and UTR calls are excluded.
- For targeted-panel cohorts each gene divides by the patients whose panel carried it; a gene absent from the panel is shown as not assayed, not as zero.
- Copy-number rows use discrete calls (2 = high-level amplification, −2 = deep deletion) against the cohort's copy-number sample list, which is a different roster from the sequenced one.
- Cohorts are not pooled. Cross-study patient overlap has not been checked and no disease-wide frequency is reported.
- Structural variants and fusions are not read in this snapshot even where the study carries a profile; germline variants, mutational signatures, TMB and MSI are not reported.
- The gene set is the briefing's curated targets plus the reference cohort's most frequently mutated genes; it is not genome-wide.
How a machine should read this page
- Denominators: every frequency divides by the patients in one named cohort on whom the gene could be called; there is no disease-wide figure.
- Missing values:
not_assayed(the panel did not carry the gene),not_observed(assayed, none found) andnot_evaluable(the cohort could not be read) are three different facts and are never converted to zero. - Counting: patients, not samples; several samples from one patient count once. Non-silent calls only.
- Copy number: a separate assay with a separate roster; discrete calls at ±2 only.
- Hypermutation: flagged per cohort; the headline keeps all patients and the frequency without them is reported beside it.
- 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.
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.