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Soft tissue sarcoma mutation landscape

How often each gene is altered in soft tissue sarcoma, 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: sarc_tcga_pan_can_atlas_2018 · JSON: /disease/soft-tissue-sarcoma/mutations.json · Back to the briefing

Answer block

In Sarcoma (TCGA, PanCancer Atlas) (255 sequenced patients, exome or genome), the most frequently altered of the 49 genes shown are TP53 33.33%, MDM2 18.58% (amplification), CDK4 17.39% (amplification), RB1 14.62% (deep deletion), ATRX 14.12%. Each figure divides by the patients on whom that gene could be called.

8 of 255 patients are hypermutated (more than 380 non-silent mutations, ten times the cohort median of 38); every gene's frequency without them is beside the headline.

Of the briefing's 12 curated targets, 4 are altered in under 2% of this cohort (ALK, PDGFRB, SS18, CTAG1B): 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%.

Alterationsarc_tcga_pan_can_atlas_2018
255 pts · exome or genome
sarcoma_mskcc_2022
2138 pts · targeted panel
TP53 SNV / small indel33.33%85/25518.57%397/2138
TP53 deep deletion9.88%25/2535.24%112/2138
MDM2 SNV / small indel1.96%5/2550.28%6/2138
MDM2 amplification18.58%47/25312.16%260/2138
CDK4 SNV / small indel0.39%1/2550.23%5/2138
CDK4 amplification17.39%44/25311.51%246/2138
RB1 SNV / small indel9.8%25/2554.63%99/2138
RB1 deep deletion14.62%37/2537.16%153/2138
PDGFRA SNV / small indel0.39%1/2552.06%44/2138
PDGFRA amplification3.16%8/2532.06%44/2138
NTRK1 SNV / small indel1.18%3/2550.47%10/2138
NTRK1 amplification4.35%11/2531.5%32/2138
ALK SNV / small indel1.18%3/2550.7%15/2138
PDGFRB SNV / small indel1.18%3/2550.8%17/2138
NF1 SNV / small indel3.92%10/2553.04%65/2138
NF1 deep deletion3.95%10/2531.22%26/2138
SS18 SNV / small indel0%·
TERT SNV / small indel1.57%4/2550.56%12/2138
TERT amplification4.74%12/2533.51%75/2138
CTAG1B SNV / small indel0%·
ATRX SNV / small indel14.12%36/2556.83%146/2138
ATRX deep deletion6.72%17/2531.82%39/2138
SCN2A SNV / small indel5.1%13/255·
FCGBP SNV / small indel4.31%11/255·
FCGBP amplification3.95%10/2530%
SPHKAP SNV / small indel3.92%10/255·
SPHKAP deep deletion4.35%11/2530%
PRKDC SNV / small indel3.92%10/255·
NAV3 SNV / small indel3.92%10/255·
NAV3 amplification10.67%27/2530%
FREM2 SNV / small indel3.92%10/255·
FREM2 deep deletion2.37%6/2530%
DOCK3 SNV / small indel3.92%10/255·
CFAP54 SNV / small indel3.92%10/255·
ZAN SNV / small indel3.53%9/255·
TRPM6 SNV / small indel3.53%9/255·
TRPM6 amplification2.37%6/2530%
SPTBN4 SNV / small indel3.53%9/255·
SPTBN4 amplification3.56%9/2530%
MYO15A SNV / small indel3.53%9/255·
MYO15A amplification9.49%24/2530%
MGAM SNV / small indel3.53%9/255·
KMT2D SNV / small indel3.53%9/2552.53%54/2138
FRAS1 SNV / small indel3.53%9/255·
DOCK2 SNV / small indel3.53%9/255·
DOCK2 amplification2.37%6/2530%
DISP3 SNV / small indel3.53%9/255·
DISP3 amplification2.37%6/2530%
DCHS2 SNV / small indel3.53%9/255·
WDR87 SNV / small indel3.14%8/255·
UNC80 SNV / small indel3.14%8/255·
UNC13C SNV / small indel3.14%8/255·
TNRC18 SNV / small indel3.14%8/255·
TNRC18 amplification2.77%7/2530%
TMEM132C SNV / small indel3.14%8/255·
TMEM132C amplification2.37%6/2530%
SHANK2 SNV / small indel3.14%8/255·
SCN9A SNV / small indel3.14%8/255·
RELN SNV / small indel3.14%8/255·
PKHD1 SNV / small indel3.14%8/255·
PKHD1 amplification2.37%6/2530%
PEG3 SNV / small indel3.14%8/255·
NRXN1 SNV / small indel3.14%8/255·
MYH7 SNV / small indel3.14%8/255·
MAP1A SNV / small indel3.14%8/255·
LRP1 SNV / small indel3.14%8/255·
LRP1 amplification4.35%11/2530%
KIAA1549 SNV / small indel3.14%8/255·
KCNH8 SNV / small indel3.14%8/255·
KALRN SNV / small indel3.14%8/255·
FAT1 SNV / small indel3.14%8/2551.82%39/2138
FAT1 deep deletion2.77%7/2530.75%16/2138

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

Key findings

TP53 is mutated in 85 of 255 patients in Sarcoma (TCGA, PanCancer Atlas).
Numerator: 85 · Denominator: 255 · Frequency: 33.33% · Observed in 2 cohorts · Confidence: moderate · Source: sarc_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

MDM2 is amplified in 47 of 253 patients in Sarcoma (TCGA, PanCancer Atlas).
Numerator: 47 · Denominator: 253 · Frequency: 18.58% · Observed in 2 cohorts · Confidence: moderate · Source: sarc_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

CDK4 is amplified in 44 of 253 patients in Sarcoma (TCGA, PanCancer Atlas).
Numerator: 44 · Denominator: 253 · Frequency: 17.39% · Observed in 2 cohorts · Confidence: moderate · Source: sarc_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, sarc_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
TP53 curated target SNV / small indel 85 / 255 33.33% 32.39% 2 / 2 18.57–33.33% X187_splice (n=4), R175H (n=4), R248W (n=3), W91* (n=2), C275Y (n=2)
MDM2 curated target amplification 47 / 253 18.58% mutation 1.96% 1.62% 2 / 2 0.28–1.96% L230F (n=1), S221C (n=1), I211T (n=1), D231N (n=1), V234I (n=1)
CDK4 curated target amplification 44 / 253 17.39% mutation 0.39% 0.4% 2 / 2 0.23–0.39% G15R (n=1)
RB1 curated target deep deletion 37 / 253 14.62% mutation 9.8% 8.91% 2 / 2 4.63–9.8% Q384* (n=1), Q504* (n=1), Y155* (n=1), X888_splice (n=1), N623Kfs*30 (n=1)
PDGFRA curated target amplification 8 / 253 3.16% mutation 0.39% 0.0% 2 / 2 0.39–2.06% M448R (n=1)
NTRK1 curated target amplification 11 / 253 4.35% mutation 1.18% 0.81% 2 / 2 0.47–1.18% V354I (n=1), G169R (n=1), R583C (n=1)
ALK curated target SNV / small indel 3 / 255 1.18% 0.81% 2 / 2 0.7–1.18% X786_splice (n=1), E570D (n=1), L1319I (n=1)
PDGFRB curated target amplification 3 / 253 1.19% mutation 1.18% 0.4% 2 / 2 0.8–1.18% P346T (n=1), D850Y (n=1), L1076F (n=1)
NF1 curated target deep deletion 10 / 253 3.95% mutation 3.92% 3.24% 2 / 2 3.04–3.92% Y628Tfs*3 (n=1), H1170Q (n=1), L1564F (n=1), X2215_splice (n=1), A308Cfs*7 (n=1)
SS18 curated target amplification 3 / 253 1.19% mutation 0.0% 0.0% 0 / 2 0.0–0.0% none recurrent
TERT curated target amplification 12 / 253 4.74% mutation 1.57% 1.21% 2 / 2 0.56–1.57% R698W (n=1), L621I (n=1), N1120S (n=1), G1060C (n=1)
CTAG1B curated target SNV / small indel 0 / 255 0.0% 0.0% 0 / 2 0.0–0.0% none recurrent
ATRX by frequency SNV / small indel 36 / 255 14.12% 14.57% 2 / 2 6.83–14.12% M828* (n=1), G1567D (n=1), S1253* (n=1), G1589E (n=1), E723* (n=1)
SCN2A by frequency SNV / small indel 13 / 255 5.1% 5.26% 1 / 2 5.1–5.1% R379C (n=1), G1149* (n=1), F1677Y (n=1), K749E (n=1), V1579M (n=1)
FCGBP by frequency SNV / small indel 11 / 255 4.31% 3.64% 1 / 2 4.31–4.31% X2334_splice (n=1), G877S (n=1), K4889Q (n=1), A407D (n=1), G1220S (n=1)
SPHKAP by frequency deep deletion 11 / 253 4.35% mutation 3.92% 3.64% 1 / 2 3.92–3.92% S1397I (n=1), E578Rfs*2 (n=1), T827K (n=1), E594K (n=1), E578G (n=1)
PRKDC by frequency SNV / small indel 10 / 255 3.92% 3.24% 1 / 2 3.92–3.92% Q3073* (n=1), G2708E (n=1), L1857I (n=1), A1148E (n=1), A1404D (n=1)
NAV3 by frequency amplification 27 / 253 10.67% mutation 3.92% 2.83% 1 / 2 3.92–3.92% S1292L (n=1), S1081N (n=1), S1293Y (n=1), A1620S (n=1), R750Q (n=1)
FREM2 by frequency SNV / small indel 10 / 255 3.92% 3.24% 1 / 2 3.92–3.92% M1204L (n=1), L763F (n=1), M1193I (n=1), X2057_splice (n=1), T2812N (n=1)
DOCK3 by frequency SNV / small indel 10 / 255 3.92% 1.62% 1 / 2 3.92–3.92% R844L (n=1), E893V (n=1), M1622I (n=1), A1318S (n=1), E753K (n=1)
CFAP54 by frequency SNV / small indel 10 / 255 3.92% 2.83% 1 / 2 3.92–3.92% W1941S (n=1), I1616S (n=1), X190_splice (n=1), D782N (n=1), K173T (n=1)
ZAN by frequency SNV / small indel 9 / 255 3.53% 2.02% 1 / 2 3.53–3.53% L1614P (n=1), Q1704H (n=1), A2118S (n=1), E932G (n=1), Q1772H (n=1)
TRPM6 by frequency SNV / small indel 9 / 255 3.53% 3.24% 1 / 2 3.53–3.53% I513F (n=1), S1790Y (n=1), S90R (n=1), K1492N (n=1), D309V (n=1)
SPTBN4 by frequency amplification 9 / 253 3.56% mutation 3.53% 2.02% 1 / 2 3.53–3.53% A2T (n=1), S378N (n=1), A1001T (n=1), K1970N (n=1), E868K (n=1)
MYO15A by frequency amplification 24 / 253 9.49% mutation 3.53% 2.83% 1 / 2 3.53–3.53% L358I (n=1), D1454Y (n=1), R567L (n=1), V378I (n=1), R1926C (n=1)
MGAM by frequency SNV / small indel 9 / 255 3.53% 2.83% 1 / 2 3.53–3.53% K475E (n=1), D311Y (n=1), T1204A (n=1), G1548V (n=1), P106L (n=1)
KMT2D by frequency SNV / small indel 9 / 255 3.53% 2.43% 2 / 2 2.53–3.53% P3375T (n=1), F4819L (n=1), W5395R (n=1), P457L (n=1), E4061K (n=1)
FRAS1 by frequency SNV / small indel 9 / 255 3.53% 2.43% 1 / 2 3.53–3.53% X1571_splice (n=1), P2848L (n=1), S147I (n=1), C973F (n=1), X3260_splice (n=1)
DOCK2 by frequency SNV / small indel 9 / 255 3.53% 2.83% 1 / 2 3.53–3.53% T1504M (n=1), E821Sfs*9 (n=1), G1403V (n=1), V1262I (n=1), Y1029N (n=1)
DISP3 by frequency SNV / small indel 9 / 255 3.53% 2.43% 1 / 2 3.53–3.53% V1294I (n=1), K913N (n=1), S1145I (n=1), R901H (n=1), V1253I (n=1)
DCHS2 by frequency SNV / small indel 9 / 255 3.53% 2.83% 1 / 2 3.53–3.53% D1143N (n=1), P2002S (n=1), F634L (n=1), S95F (n=1), N1510S (n=1)
WDR87 by frequency SNV / small indel 8 / 255 3.14% 2.02% 1 / 2 3.14–3.14% R1098W (n=1), E1656K (n=1), L861F (n=1), M1357L (n=1), E2030K (n=1)
UNC80 by frequency SNV / small indel 8 / 255 3.14% 1.62% 1 / 2 3.14–3.14% V189M (n=1), S1489I (n=1), A2988S (n=1), K1671E (n=1), T399A (n=1)
UNC13C by frequency SNV / small indel 8 / 255 3.14% 2.83% 1 / 2 3.14–3.14% T1107I (n=1), K345E (n=1), E1349* (n=1), L1568V (n=1), Q2045* (n=1)
TNRC18 by frequency SNV / small indel 8 / 255 3.14% 2.02% 1 / 2 3.14–3.14% A1478V (n=1), A2697V (n=1), R2383* (n=1), R721L (n=1), E1736K (n=1)
TMEM132C by frequency SNV / small indel 8 / 255 3.14% 2.43% 1 / 2 3.14–3.14% A443T (n=1), T86I (n=1), M385I (n=1), E910K (n=1), R703W (n=1)
SHANK2 by frequency SNV / small indel 8 / 255 3.14% 2.43% 1 / 2 3.14–3.14% A998V (n=1), G1213V (n=1), L283I (n=1), V695I (n=1), R829W (n=1)
SCN9A by frequency SNV / small indel 8 / 255 3.14% 2.43% 1 / 2 3.14–3.14% A438P (n=1), S849F (n=1), L1395I (n=1), K1059E (n=1), F879L (n=1)
RELN by frequency SNV / small indel 8 / 255 3.14% 1.21% 1 / 2 3.14–3.14% L3154I (n=1), D2171V (n=1), R2216* (n=1), R2457C (n=1), S3275F (n=1)
PKHD1 by frequency SNV / small indel 8 / 255 3.14% 3.24% 1 / 2 3.14–3.14% N2300S (n=1), R3620C (n=1), I1192F (n=1), V2429I (n=1), P3221L (n=1)
PEG3 by frequency SNV / small indel 8 / 255 3.14% 2.83% 1 / 2 3.14–3.14% R148I (n=1), L254M (n=1), K66E (n=1), P4L (n=1), V951L (n=1)
NRXN1 by frequency SNV / small indel 8 / 255 3.14% 2.83% 1 / 2 3.14–3.14% R121H (n=1), P619T (n=1), L1352F (n=1), L296W (n=1), H526P (n=1)
MYH7 by frequency SNV / small indel 8 / 255 3.14% 2.83% 1 / 2 3.14–3.14% Y386* (n=1), E1743del (n=1), D685E (n=1), I1238S (n=1), R1818W (n=1)
MAP1A by frequency SNV / small indel 8 / 255 3.14% 1.62% 1 / 2 3.14–3.14% A640V (n=1), E439D (n=1), S1749I (n=1), R1657I (n=1), L2247Q (n=1)
LRP1 by frequency amplification 11 / 253 4.35% mutation 3.14% 2.43% 1 / 2 3.14–3.14% D1464Y (n=1), S1290I (n=1), I2618M (n=1), W3351* (n=1), D2819N (n=1)
KIAA1549 by frequency SNV / small indel 8 / 255 3.14% 2.43% 1 / 2 3.14–3.14% V1007I (n=1), A732V (n=1), X1410_splice (n=1), V595F (n=1), E882K (n=1)
KCNH8 by frequency SNV / small indel 8 / 255 3.14% 2.43% 1 / 2 3.14–3.14% A587V (n=1), D992H (n=1), M603I (n=1), R835Q (n=1), A555S (n=1)
KALRN by frequency SNV / small indel 8 / 255 3.14% 2.02% 1 / 2 3.14–3.14% E41K (n=1), R1494W (n=1), R1071W (n=1), A1093D (n=1), V278E (n=1)
FAT1 by frequency SNV / small indel 8 / 255 3.14% 2.83% 2 / 2 1.82–3.14% E2498V (n=1), E2705* (n=1), D177N (n=1), L3599V (n=1), Q3572* (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
Sarcoma (TCGA, PanCancer Atlas) reference
Sarcoma (TCGA, PanCancer Atlas)
sarc_tcga_pan_can_atlas_2018255 observed255 / 255exome or genomeWES (255)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)838
Sarcoma (MSK, Nat Commun. 2022)
Sarcoma (MSK, Nat Commun. 2022)
sarcoma_mskcc_20222138 observed2138 / 2138targeted panelIMPACT468 (1356), IMPACT410 (573), IMPACT341 (209)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)11.0

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
MDM2amplification4725318.58%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
CDK4amplification4425317.39%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
RB1deep deletion3725314.62%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
MDM2amplification260213812.16%sarcoma_mskcc_2022sarcoma_mskcc_2022_cna
CDK4amplification246213811.51%sarcoma_mskcc_2022sarcoma_mskcc_2022_cna
NAV3amplification2725310.67%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
TP53deep deletion252539.88%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
MYO15Aamplification242539.49%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
RB1deep deletion15321387.16%sarcoma_mskcc_2022sarcoma_mskcc_2022_cna
ATRXdeep deletion172536.72%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
TP53deep deletion11221385.24%sarcoma_mskcc_2022sarcoma_mskcc_2022_cna
TERTamplification122534.74%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
NTRK1amplification112534.35%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
SPHKAPdeep deletion112534.35%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
LRP1amplification112534.35%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
NF1deep deletion102533.95%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
FCGBPamplification102533.95%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
SPTBN4amplification92533.56%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
TERTamplification7521383.51%sarcoma_mskcc_2022sarcoma_mskcc_2022_cna
PDGFRAamplification82533.16%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
TNRC18amplification72532.77%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
FAT1deep deletion72532.77%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
FREM2deep deletion62532.37%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
TRPM6amplification62532.37%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
DOCK2amplification62532.37%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
DISP3amplification62532.37%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
TMEM132Camplification62532.37%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
PKHD1amplification62532.37%sarc_tcga_pan_can_atlas_2018sarc_tcga_pan_can_atlas_2018_gistic
PDGFRAamplification4421382.06%sarcoma_mskcc_2022sarcoma_mskcc_2022_cna

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)
TP5318.57–33.33%sarc_tcga_pan_can_atlas_2018: 85/255 (33.33%) · sarcoma_mskcc_2022: 397/2138 (18.57%)
MDM20.28–1.96%sarc_tcga_pan_can_atlas_2018: 5/255 (1.96%) · sarcoma_mskcc_2022: 6/2138 (0.28%)
CDK40.23–0.39%sarc_tcga_pan_can_atlas_2018: 1/255 (0.39%) · sarcoma_mskcc_2022: 5/2138 (0.23%)
RB14.63–9.8%sarc_tcga_pan_can_atlas_2018: 25/255 (9.8%) · sarcoma_mskcc_2022: 99/2138 (4.63%)
PDGFRA0.39–2.06%sarc_tcga_pan_can_atlas_2018: 1/255 (0.39%) · sarcoma_mskcc_2022: 44/2138 (2.06%)
NTRK10.47–1.18%sarc_tcga_pan_can_atlas_2018: 3/255 (1.18%) · sarcoma_mskcc_2022: 10/2138 (0.47%)
ALK0.7–1.18%sarc_tcga_pan_can_atlas_2018: 3/255 (1.18%) · sarcoma_mskcc_2022: 15/2138 (0.7%)
PDGFRB0.8–1.18%sarc_tcga_pan_can_atlas_2018: 3/255 (1.18%) · sarcoma_mskcc_2022: 17/2138 (0.8%)
NF13.04–3.92%sarc_tcga_pan_can_atlas_2018: 10/255 (3.92%) · sarcoma_mskcc_2022: 65/2138 (3.04%)
SS180.0–0.0%sarc_tcga_pan_can_atlas_2018: 0/255 (0.0%) · sarcoma_mskcc_2022: not assayed
TERT0.56–1.57%sarc_tcga_pan_can_atlas_2018: 4/255 (1.57%) · sarcoma_mskcc_2022: 12/2138 (0.56%)
CTAG1B0.0–0.0%sarc_tcga_pan_can_atlas_2018: 0/255 (0.0%) · sarcoma_mskcc_2022: not assayed
ATRX6.83–14.12%sarc_tcga_pan_can_atlas_2018: 36/255 (14.12%) · sarcoma_mskcc_2022: 146/2138 (6.83%)
SCN2A5.1–5.1%sarc_tcga_pan_can_atlas_2018: 13/255 (5.1%) · sarcoma_mskcc_2022: not assayed
FCGBP4.31–4.31%sarc_tcga_pan_can_atlas_2018: 11/255 (4.31%) · sarcoma_mskcc_2022: not assayed
SPHKAP3.92–3.92%sarc_tcga_pan_can_atlas_2018: 10/255 (3.92%) · sarcoma_mskcc_2022: not assayed
PRKDC3.92–3.92%sarc_tcga_pan_can_atlas_2018: 10/255 (3.92%) · sarcoma_mskcc_2022: not assayed
NAV33.92–3.92%sarc_tcga_pan_can_atlas_2018: 10/255 (3.92%) · sarcoma_mskcc_2022: not assayed
FREM23.92–3.92%sarc_tcga_pan_can_atlas_2018: 10/255 (3.92%) · sarcoma_mskcc_2022: not assayed
DOCK33.92–3.92%sarc_tcga_pan_can_atlas_2018: 10/255 (3.92%) · sarcoma_mskcc_2022: not assayed
CFAP543.92–3.92%sarc_tcga_pan_can_atlas_2018: 10/255 (3.92%) · sarcoma_mskcc_2022: not assayed
ZAN3.53–3.53%sarc_tcga_pan_can_atlas_2018: 9/255 (3.53%) · sarcoma_mskcc_2022: not assayed
TRPM63.53–3.53%sarc_tcga_pan_can_atlas_2018: 9/255 (3.53%) · sarcoma_mskcc_2022: not assayed
SPTBN43.53–3.53%sarc_tcga_pan_can_atlas_2018: 9/255 (3.53%) · sarcoma_mskcc_2022: not assayed
MYO15A3.53–3.53%sarc_tcga_pan_can_atlas_2018: 9/255 (3.53%) · sarcoma_mskcc_2022: not assayed
MGAM3.53–3.53%sarc_tcga_pan_can_atlas_2018: 9/255 (3.53%) · sarcoma_mskcc_2022: not assayed
KMT2D2.53–3.53%sarc_tcga_pan_can_atlas_2018: 9/255 (3.53%) · sarcoma_mskcc_2022: 54/2138 (2.53%)
FRAS13.53–3.53%sarc_tcga_pan_can_atlas_2018: 9/255 (3.53%) · sarcoma_mskcc_2022: not assayed
DOCK23.53–3.53%sarc_tcga_pan_can_atlas_2018: 9/255 (3.53%) · sarcoma_mskcc_2022: not assayed
DISP33.53–3.53%sarc_tcga_pan_can_atlas_2018: 9/255 (3.53%) · sarcoma_mskcc_2022: not assayed
DCHS23.53–3.53%sarc_tcga_pan_can_atlas_2018: 9/255 (3.53%) · sarcoma_mskcc_2022: not assayed
WDR873.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
UNC803.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
UNC13C3.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
TNRC183.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
TMEM132C3.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
SHANK23.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
SCN9A3.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
RELN3.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
PKHD13.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
PEG33.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
NRXN13.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
MYH73.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
MAP1A3.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
LRP13.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
KIAA15493.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
KCNH83.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
KALRN3.14–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: not assayed
FAT11.82–3.14%sarc_tcga_pan_can_atlas_2018: 8/255 (3.14%) · sarcoma_mskcc_2022: 39/2138 (1.82%)

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/soft-tissue-sarcoma.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.