Rhabdomyosarcoma mutation landscape

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%.

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

Key findings

NRAS is mutated in 4 of 43 patients in Rhabdomyosarcoma (NIH, Cancer Discov 2014).
Numerator: 4 · Denominator: 43 · Frequency: 9.3% · Observed in 1 cohorts · Confidence: moderate · Source: rms_nih_2014 · Retrieved: 2026-09-18

FGFR4 is mutated in 3 of 43 patients in Rhabdomyosarcoma (NIH, Cancer Discov 2014).
Numerator: 3 · Denominator: 43 · Frequency: 6.98% · Observed in 1 cohorts · Confidence: moderate · Source: rms_nih_2014 · Retrieved: 2026-09-18

KRAS is mutated in 3 of 43 patients in Rhabdomyosarcoma (NIH, Cancer Discov 2014).
Numerator: 3 · Denominator: 43 · Frequency: 6.98% · Observed in 1 cohorts · Confidence: moderate · Source: rms_nih_2014 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, rms_nih_2014; 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.

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.

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.

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.

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.