Disease intelligence · mutation landscape
Uveal melanoma mutation landscape
How often each gene is altered in uveal melanoma, 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 Uveal Melanoma (TCGA, PanCancer Atlas) (80 sequenced patients, exome or genome), the most frequently altered of the 45 genes shown are GNAQ 50.0%, GNA11 45.0%, SF3B1 22.5%, BAP1 16.25%, EIF1AX 12.5%. Each figure divides by the patients on whom that gene could be called.
1 of 80 patients are hypermutated (more than 120 non-silent mutations, ten times the cohort median of 12); every gene's frequency without them is beside the headline.
Of the briefing's 12 curated targets, 5 are altered in under 2% of this cohort (PMEL, MET, MITF, PRKCA, MBD4): 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 | uvm_tcga_pan_can_atlas_2018 80 pts · exome or genome | um_qimr_2016 26 pts · exome or genome |
|---|---|---|
| GNAQ SNV / small indel | 50.0%40/80 | 30.77%8/26 |
| GNA11 SNV / small indel | 45.0%36/80 | 57.69%15/26 |
| BAP1 SNV / small indel | 16.25%13/80 | 42.31%11/26 |
| SF3B1 SNV / small indel | 22.5%18/80 | 11.54%3/26 |
| EIF1AX SNV / small indel | 12.5%10/80 | 15.38%4/26 |
| CYSLTR2 SNV / small indel | 3.75%3/80 | 0% |
| PLCB4 SNV / small indel | 2.5%2/80 | 7.69%2/26 |
| PMEL SNV / small indel | 0% | 0% |
| MET SNV / small indel | 0% | 0% |
| MITF SNV / small indel | 0% | 0% |
| PRKCA SNV / small indel | 0% | 0% |
| MBD4 SNV / small indel | 0% | 0% |
| SRSF2 SNV / small indel | 3.75%3/80 | 0% |
| MYOF SNV / small indel | 3.75%3/80 | 3.85%1/26 |
| COL14A1 SNV / small indel | 3.75%3/80 | 0% |
| COL14A1 amplification | 3.75%3/80 | · |
| UTRN SNV / small indel | 2.5%2/80 | 3.85%1/26 |
| UTRN deep deletion | 7.5%6/80 | · |
| TYRP1 SNV / small indel | 2.5%2/80 | 0% |
| TPCN1 SNV / small indel | 2.5%2/80 | 0% |
| TNS3 SNV / small indel | 2.5%2/80 | 0% |
| TMEM39A SNV / small indel | 2.5%2/80 | 0% |
| TKFC SNV / small indel | 2.5%2/80 | 0% |
| TBX6 SNV / small indel | 2.5%2/80 | 0% |
| SPHKAP SNV / small indel | 2.5%2/80 | 0% |
| SPHKAP deep deletion | 2.5%2/80 | · |
| SPEG SNV / small indel | 2.5%2/80 | 0% |
| SETX SNV / small indel | 2.5%2/80 | 0% |
| SELE SNV / small indel | 2.5%2/80 | 0% |
| SEL1L3 SNV / small indel | 2.5%2/80 | 0% |
| RNF43 SNV / small indel | 2.5%2/80 | 0% |
| PPP2R1A SNV / small indel | 2.5%2/80 | 0% |
| PPL SNV / small indel | 2.5%2/80 | 0% |
| PLCB2 SNV / small indel | 2.5%2/80 | 0% |
| PCSK7 SNV / small indel | 2.5%2/80 | 0% |
| PCSK7 deep deletion | 5.0%4/80 | · |
| PCDHB7 SNV / small indel | 2.5%2/80 | 0% |
| MYO1F SNV / small indel | 2.5%2/80 | 0% |
| MYO15A SNV / small indel | 2.5%2/80 | 0% |
| MYBPC2 SNV / small indel | 2.5%2/80 | 0% |
| MC2R SNV / small indel | 2.5%2/80 | 0% |
| MAP3K19 SNV / small indel | 2.5%2/80 | 0% |
| MAOB SNV / small indel | 2.5%2/80 | 0% |
| LAMA1 SNV / small indel | 2.5%2/80 | 0% |
| KCNH5 SNV / small indel | 2.5%2/80 | 0% |
| HUWE1 SNV / small indel | 2.5%2/80 | 0% |
| HHAT SNV / small indel | 2.5%2/80 | 0% |
| HDLBP SNV / small indel | 2.5%2/80 | 0% |
| HDLBP deep deletion | 2.5%2/80 | · |
| HDAC5 SNV / small indel | 2.5%2/80 | 0% |
observed — shade scales with frequency, full at 30% assayed, none found not on this cohort's panel cohort not readable
Key findings
GNAQ is mutated in 40 of 80 patients in Uveal Melanoma (TCGA, PanCancer Atlas).
GNA11 is mutated in 36 of 80 patients in Uveal Melanoma (TCGA, PanCancer Atlas).
SF3B1 is mutated in 18 of 80 patients in Uveal Melanoma (TCGA, PanCancer Atlas).
Gene table — reference cohort
Headline values are from the reference cohort, uvm_tcga_pan_can_atlas_2018; 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 |
|---|---|---|---|---|---|---|---|---|
| GNAQ | curated target | SNV / small indel | 40 / 80 | 50.0% | 49.37% | 2 / 2 | 30.77–50.0% | Q209P (n=27), Q209L (n=10), R183Q (n=2), G48* (n=1), G48V (n=1) |
| GNA11 | curated target | SNV / small indel | 36 / 80 | 45.0% | 44.3% | 2 / 2 | 45.0–57.69% | Q209L (n=34), R166H (n=1), R183C (n=1) |
| BAP1 | curated target | SNV / small indel | 13 / 80 | 16.25% | 16.46% | 2 / 2 | 16.25–42.31% | Y223* (n=1), D672Afs*17 (n=1), E685V (n=1), Q441* (n=1), Q40* (n=1) |
| SF3B1 | curated target | SNV / small indel | 18 / 80 | 22.5% | 21.52% | 2 / 2 | 11.54–22.5% | R625H (n=8), R625C (n=6), K666T (n=2), T663P (n=1), H662R (n=1) |
| EIF1AX | curated target | SNV / small indel | 10 / 80 | 12.5% | 12.66% | 2 / 2 | 12.5–15.38% | G8R (n=2), G15D (n=2), G6D (n=2), W70R (n=1), G9D (n=1) |
| CYSLTR2 | curated target | SNV / small indel | 3 / 80 | 3.75% | 3.8% | 1 / 2 | 0.0–3.75% | L129Q (n=3) |
| PLCB4 | curated target | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 2 / 2 | 2.5–7.69% | D630V (n=1), D630Y (n=1), D630N (n=1) |
| PMEL | curated target | SNV / small indel | 0 / 80 | 0.0% | 0.0% | 0 / 2 | 0.0–0.0% | none recurrent |
| MET | curated target | SNV / small indel | 0 / 80 | 0.0% | 0.0% | 0 / 2 | 0.0–0.0% | none recurrent |
| MITF | curated target | SNV / small indel | 0 / 80 | 0.0% | 0.0% | 0 / 2 | 0.0–0.0% | none recurrent |
| PRKCA | curated target | amplification | 1 / 80 | 1.25% mutation 0.0% | 0.0% | 0 / 2 | 0.0–0.0% | none recurrent |
| MBD4 | curated target | SNV / small indel | 0 / 80 | 0.0% | 0.0% | 0 / 2 | 0.0–0.0% | none recurrent |
| SRSF2 | by frequency | SNV / small indel | 3 / 80 | 3.75% | 3.8% | 1 / 2 | 0.0–3.75% | Y92_H99del (n=1), Y92_H100del (n=1), S174_S179del (n=1) |
| MYOF | by frequency | SNV / small indel | 3 / 80 | 3.75% | 2.53% | 2 / 2 | 3.75–3.85% | V224I (n=1), M1213L (n=1), R1025* (n=1) |
| COL14A1 | by frequency | SNV / small indel | 3 / 80 | 3.75% | 3.8% | 1 / 2 | 0.0–3.75% | T527M (n=1), E613G (n=1), V317I (n=1) |
| UTRN | by frequency | deep deletion | 6 / 80 | 7.5% mutation 2.5% | 1.27% | 2 / 2 | 2.5–3.85% | R2871K (n=1), A1530T (n=1) |
| TYRP1 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | S137Rfs*42 (n=1), Q390Dfs*27 (n=1) |
| TPCN1 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | A24S (n=1), Y502* (n=1) |
| TNS3 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | G275A (n=1), P1243L (n=1) |
| TMEM39A | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | F193Y (n=1), L322V (n=1) |
| TKFC | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | G290D (n=1), R126Q (n=1) |
| TBX6 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | R98Q (n=1), I257M (n=1) |
| SPHKAP | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | G1339S (n=1), N661I (n=1) |
| SPEG | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | I1768T (n=1), A2600G (n=1) |
| SETX | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | F597L (n=1), H2067Y (n=1) |
| SELE | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | P360Q (n=1), C317S (n=1) |
| SEL1L3 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | G262S (n=1), S509R (n=1) |
| RNF43 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | N602S (n=1), R609Q (n=1) |
| PPP2R1A | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | R183Q (n=1), T463P (n=1) |
| PPL | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | K935N (n=1), D278N (n=1) |
| PLCB2 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | K385R (n=1), T237M (n=1) |
| PCSK7 | by frequency | deep deletion | 4 / 80 | 5.0% mutation 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | A558T (n=1), G463S (n=1) |
| PCDHB7 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | N555K (n=1), G665S (n=1) |
| MYO1F | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | W9* (n=1), A659V (n=1) |
| MYO15A | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | P957R (n=1), A2020S (n=1) |
| MYBPC2 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | V53L (n=1), G764R (n=1) |
| MC2R | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | S97C (n=1), L151F (n=1) |
| MAP3K19 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | G1280R (n=1), R1154C (n=1) |
| MAOB | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | X16_splice (n=1), R36W (n=1) |
| LAMA1 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | H1472R (n=1), S1887C (n=1) |
| KCNH5 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | R327H (n=1), R560C (n=1) |
| HUWE1 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | E2414del (n=1), T2003M (n=1) |
| HHAT | by frequency | SNV / small indel | 2 / 80 | 2.5% | 2.53% | 1 / 2 | 0.0–2.5% | E33D (n=1), Y20C (n=1) |
| HDLBP | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | K1260R (n=1), R813C (n=1) |
| HDAC5 | by frequency | SNV / small indel | 2 / 80 | 2.5% | 1.27% | 1 / 2 | 0.0–2.5% | W924C (n=1), R72W (n=1), E728K (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.
| Cohort | Accession | Patients | Samples sequenced / in study | Assay | Panels (samples) | Build | Profiles read | Hypermutated patients | Median mutations / sample |
|---|---|---|---|---|---|---|---|---|---|
| Uveal Melanoma (TCGA, PanCancer Atlas) reference | uvm_tcga_pan_can_atlas_2018 | 80 observed | 80 / 80 | exome or genome | WES (80) | hg19 | SNV, small indel, amplification, deep deletion, structural variant (profile present, not read) | 1 | 12.0 |
| Uveal Melanoma (QIMR, Oncotarget 2016) | um_qimr_2016 | 26 observed | 26 / 28 | exome or genome | WES (26) | hg19 | SNV, small indel, structural variant (profile present, not read) | 0 | 10.5 |
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 |
|---|---|---|---|---|---|---|
| UTRN | deep deletion | 6 | 80 | 7.5% | uvm_tcga_pan_can_atlas_2018 | uvm_tcga_pan_can_atlas_2018_gistic |
| PCSK7 | deep deletion | 4 | 80 | 5.0% | uvm_tcga_pan_can_atlas_2018 | uvm_tcga_pan_can_atlas_2018_gistic |
| COL14A1 | amplification | 3 | 80 | 3.75% | uvm_tcga_pan_can_atlas_2018 | uvm_tcga_pan_can_atlas_2018_gistic |
| SPHKAP | deep deletion | 2 | 80 | 2.5% | uvm_tcga_pan_can_atlas_2018 | uvm_tcga_pan_can_atlas_2018_gistic |
| HDLBP | deep deletion | 2 | 80 | 2.5% | uvm_tcga_pan_can_atlas_2018 | uvm_tcga_pan_can_atlas_2018_gistic |
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) |
|---|---|---|
| GNAQ | 30.77–50.0% | uvm_tcga_pan_can_atlas_2018: 40/80 (50.0%) · um_qimr_2016: 8/26 (30.77%) |
| GNA11 | 45.0–57.69% | uvm_tcga_pan_can_atlas_2018: 36/80 (45.0%) · um_qimr_2016: 15/26 (57.69%) |
| BAP1 | 16.25–42.31% | uvm_tcga_pan_can_atlas_2018: 13/80 (16.25%) · um_qimr_2016: 11/26 (42.31%) |
| SF3B1 | 11.54–22.5% | uvm_tcga_pan_can_atlas_2018: 18/80 (22.5%) · um_qimr_2016: 3/26 (11.54%) |
| EIF1AX | 12.5–15.38% | uvm_tcga_pan_can_atlas_2018: 10/80 (12.5%) · um_qimr_2016: 4/26 (15.38%) |
| CYSLTR2 | 0.0–3.75% | uvm_tcga_pan_can_atlas_2018: 3/80 (3.75%) · um_qimr_2016: 0/26 (0.0%) |
| PLCB4 | 2.5–7.69% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 2/26 (7.69%) |
| PMEL | 0.0–0.0% | uvm_tcga_pan_can_atlas_2018: 0/80 (0.0%) · um_qimr_2016: 0/26 (0.0%) |
| MET | 0.0–0.0% | uvm_tcga_pan_can_atlas_2018: 0/80 (0.0%) · um_qimr_2016: 0/26 (0.0%) |
| MITF | 0.0–0.0% | uvm_tcga_pan_can_atlas_2018: 0/80 (0.0%) · um_qimr_2016: 0/26 (0.0%) |
| PRKCA | 0.0–0.0% | uvm_tcga_pan_can_atlas_2018: 0/80 (0.0%) · um_qimr_2016: 0/26 (0.0%) |
| MBD4 | 0.0–0.0% | uvm_tcga_pan_can_atlas_2018: 0/80 (0.0%) · um_qimr_2016: 0/26 (0.0%) |
| SRSF2 | 0.0–3.75% | uvm_tcga_pan_can_atlas_2018: 3/80 (3.75%) · um_qimr_2016: 0/26 (0.0%) |
| MYOF | 3.75–3.85% | uvm_tcga_pan_can_atlas_2018: 3/80 (3.75%) · um_qimr_2016: 1/26 (3.85%) |
| COL14A1 | 0.0–3.75% | uvm_tcga_pan_can_atlas_2018: 3/80 (3.75%) · um_qimr_2016: 0/26 (0.0%) |
| UTRN | 2.5–3.85% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 1/26 (3.85%) |
| TYRP1 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| TPCN1 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| TNS3 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| TMEM39A | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| TKFC | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| TBX6 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| SPHKAP | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| SPEG | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| SETX | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| SELE | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| SEL1L3 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| RNF43 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| PPP2R1A | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| PPL | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| PLCB2 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| PCSK7 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| PCDHB7 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| MYO1F | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| MYO15A | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| MYBPC2 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| MC2R | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| MAP3K19 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| MAOB | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| LAMA1 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| KCNH5 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| HUWE1 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| HHAT | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| HDLBP | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%) |
| HDAC5 | 0.0–2.5% | uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (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/uveal-melanoma.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.