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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.

Retrieved 2026-09-18 · Reference cohort: uvm_tcga_pan_can_atlas_2018 · JSON: /disease/uveal-melanoma/mutations.json · Back to the briefing

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%.

Alterationuvm_tcga_pan_can_atlas_2018
80 pts · exome or genome
um_qimr_2016
26 pts · exome or genome
GNAQ SNV / small indel50.0%40/8030.77%8/26
GNA11 SNV / small indel45.0%36/8057.69%15/26
BAP1 SNV / small indel16.25%13/8042.31%11/26
SF3B1 SNV / small indel22.5%18/8011.54%3/26
EIF1AX SNV / small indel12.5%10/8015.38%4/26
CYSLTR2 SNV / small indel3.75%3/800%
PLCB4 SNV / small indel2.5%2/807.69%2/26
PMEL SNV / small indel0%0%
MET SNV / small indel0%0%
MITF SNV / small indel0%0%
PRKCA SNV / small indel0%0%
MBD4 SNV / small indel0%0%
SRSF2 SNV / small indel3.75%3/800%
MYOF SNV / small indel3.75%3/803.85%1/26
COL14A1 SNV / small indel3.75%3/800%
COL14A1 amplification3.75%3/80·
UTRN SNV / small indel2.5%2/803.85%1/26
UTRN deep deletion7.5%6/80·
TYRP1 SNV / small indel2.5%2/800%
TPCN1 SNV / small indel2.5%2/800%
TNS3 SNV / small indel2.5%2/800%
TMEM39A SNV / small indel2.5%2/800%
TKFC SNV / small indel2.5%2/800%
TBX6 SNV / small indel2.5%2/800%
SPHKAP SNV / small indel2.5%2/800%
SPHKAP deep deletion2.5%2/80·
SPEG SNV / small indel2.5%2/800%
SETX SNV / small indel2.5%2/800%
SELE SNV / small indel2.5%2/800%
SEL1L3 SNV / small indel2.5%2/800%
RNF43 SNV / small indel2.5%2/800%
PPP2R1A SNV / small indel2.5%2/800%
PPL SNV / small indel2.5%2/800%
PLCB2 SNV / small indel2.5%2/800%
PCSK7 SNV / small indel2.5%2/800%
PCSK7 deep deletion5.0%4/80·
PCDHB7 SNV / small indel2.5%2/800%
MYO1F SNV / small indel2.5%2/800%
MYO15A SNV / small indel2.5%2/800%
MYBPC2 SNV / small indel2.5%2/800%
MC2R SNV / small indel2.5%2/800%
MAP3K19 SNV / small indel2.5%2/800%
MAOB SNV / small indel2.5%2/800%
LAMA1 SNV / small indel2.5%2/800%
KCNH5 SNV / small indel2.5%2/800%
HUWE1 SNV / small indel2.5%2/800%
HHAT SNV / small indel2.5%2/800%
HDLBP SNV / small indel2.5%2/800%
HDLBP deep deletion2.5%2/80·
HDAC5 SNV / small indel2.5%2/800%

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).
Numerator: 40 · Denominator: 80 · Frequency: 50.0% · Observed in 2 cohorts · Confidence: moderate · Source: uvm_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

GNA11 is mutated in 36 of 80 patients in Uveal Melanoma (TCGA, PanCancer Atlas).
Numerator: 36 · Denominator: 80 · Frequency: 45.0% · Observed in 2 cohorts · Confidence: moderate · Source: uvm_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

SF3B1 is mutated in 18 of 80 patients in Uveal Melanoma (TCGA, PanCancer Atlas).
Numerator: 18 · Denominator: 80 · Frequency: 22.5% · Observed in 2 cohorts · Confidence: moderate · Source: uvm_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

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.

GeneWhy listedLargest alterationAltered / testedFrequencyWithout hypermutatedCohorts observedRange across cohortsRecurrent 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.

CohortAccessionPatientsSamples sequenced / in studyAssayPanels (samples)BuildProfiles readHypermutated patientsMedian mutations / sample
Uveal Melanoma (TCGA, PanCancer Atlas) reference
Uveal Melanoma (TCGA, PanCancer Atlas)
uvm_tcga_pan_can_atlas_201880 observed80 / 80exome or genomeWES (80)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)112.0
Uveal Melanoma (QIMR, Oncotarget 2016)
Uveal Melanoma (QIMR, Oncotarget 2016)
um_qimr_201626 observed26 / 28exome or genomeWES (26)hg19SNV, small indel, structural variant (profile present, not read)010.5

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.

GeneEventObserved patientsTested patientsFrequencyCohortProfile
UTRNdeep deletion6807.5%uvm_tcga_pan_can_atlas_2018uvm_tcga_pan_can_atlas_2018_gistic
PCSK7deep deletion4805.0%uvm_tcga_pan_can_atlas_2018uvm_tcga_pan_can_atlas_2018_gistic
COL14A1amplification3803.75%uvm_tcga_pan_can_atlas_2018uvm_tcga_pan_can_atlas_2018_gistic
SPHKAPdeep deletion2802.5%uvm_tcga_pan_can_atlas_2018uvm_tcga_pan_can_atlas_2018_gistic
HDLBPdeep deletion2802.5%uvm_tcga_pan_can_atlas_2018uvm_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.

GeneRangePer cohort (altered / tested)
GNAQ30.77–50.0%uvm_tcga_pan_can_atlas_2018: 40/80 (50.0%) · um_qimr_2016: 8/26 (30.77%)
GNA1145.0–57.69%uvm_tcga_pan_can_atlas_2018: 36/80 (45.0%) · um_qimr_2016: 15/26 (57.69%)
BAP116.25–42.31%uvm_tcga_pan_can_atlas_2018: 13/80 (16.25%) · um_qimr_2016: 11/26 (42.31%)
SF3B111.54–22.5%uvm_tcga_pan_can_atlas_2018: 18/80 (22.5%) · um_qimr_2016: 3/26 (11.54%)
EIF1AX12.5–15.38%uvm_tcga_pan_can_atlas_2018: 10/80 (12.5%) · um_qimr_2016: 4/26 (15.38%)
CYSLTR20.0–3.75%uvm_tcga_pan_can_atlas_2018: 3/80 (3.75%) · um_qimr_2016: 0/26 (0.0%)
PLCB42.5–7.69%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 2/26 (7.69%)
PMEL0.0–0.0%uvm_tcga_pan_can_atlas_2018: 0/80 (0.0%) · um_qimr_2016: 0/26 (0.0%)
MET0.0–0.0%uvm_tcga_pan_can_atlas_2018: 0/80 (0.0%) · um_qimr_2016: 0/26 (0.0%)
MITF0.0–0.0%uvm_tcga_pan_can_atlas_2018: 0/80 (0.0%) · um_qimr_2016: 0/26 (0.0%)
PRKCA0.0–0.0%uvm_tcga_pan_can_atlas_2018: 0/80 (0.0%) · um_qimr_2016: 0/26 (0.0%)
MBD40.0–0.0%uvm_tcga_pan_can_atlas_2018: 0/80 (0.0%) · um_qimr_2016: 0/26 (0.0%)
SRSF20.0–3.75%uvm_tcga_pan_can_atlas_2018: 3/80 (3.75%) · um_qimr_2016: 0/26 (0.0%)
MYOF3.75–3.85%uvm_tcga_pan_can_atlas_2018: 3/80 (3.75%) · um_qimr_2016: 1/26 (3.85%)
COL14A10.0–3.75%uvm_tcga_pan_can_atlas_2018: 3/80 (3.75%) · um_qimr_2016: 0/26 (0.0%)
UTRN2.5–3.85%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 1/26 (3.85%)
TYRP10.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
TPCN10.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
TNS30.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
TMEM39A0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
TKFC0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
TBX60.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
SPHKAP0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
SPEG0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
SETX0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
SELE0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
SEL1L30.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
RNF430.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
PPP2R1A0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
PPL0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
PLCB20.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
PCSK70.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
PCDHB70.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
MYO1F0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
MYO15A0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
MYBPC20.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
MC2R0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
MAP3K190.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
MAOB0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
LAMA10.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
KCNH50.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
HUWE10.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
HHAT0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
HDLBP0.0–2.5%uvm_tcga_pan_can_atlas_2018: 2/80 (2.5%) · um_qimr_2016: 0/26 (0.0%)
HDAC50.0–2.5%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

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/uveal-melanoma.json.

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