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Disease intelligence · mutation landscape

Esophageal cancer mutation landscape

How often each gene is altered in esophageal cancer, 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: esca_tcga_pan_can_atlas_2018 · JSON: /disease/esophageal-cancer/mutations.json · Back to the briefing

Answer block

In Esophageal Adenocarcinoma (TCGA, PanCancer Atlas) (182 sequenced patients, exome or genome), the most frequently altered of the 48 genes shown are TP53 86.81%, CDKN2A 39.01% (deep deletion), CCND1 34.62% (amplification), PIK3CA 17.58% (amplification), SOX2 16.48% (amplification). Each figure divides by the patients on whom that gene could be called.

2 of 182 patients are hypermutated (more than 1040 non-silent mutations, ten times the cohort median of 104); every gene's frequency without them is beside the headline.

3 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%.

Alterationesca_tcga_pan_can_atlas_2018
182 pts · exome or genome
escc_ucla_2014
139 pts · mixed
egc_msk_2017
305 pts · targeted panel
TP53 SNV / small indel86.81%158/18259.71%83/13973.44%224/305
ERBB2 SNV / small indel6.04%11/1820%3.93%12/305
ERBB2 amplification15.38%28/182·24.59%75/305
CD274 SNV / small indel0%0%0%
CD274 amplification2.2%4/182·0.33%1/305
CD274 deep deletion2.75%5/182·0.33%1/305
PDCD1 SNV / small indel0.55%1/1820%0.66%2/302
PDCD1 deep deletion2.75%5/182·0.33%1/305
CDKN2A SNV / small indel8.24%15/1822.88%4/13911.15%34/305
CDKN2A deep deletion39.01%71/182·6.56%20/305
NFE2L2 SNV / small indel9.89%18/1825.76%8/1390.66%2/305
NFE2L2 amplification3.3%6/182·0%
SOX2 SNV / small indel0%0%0.33%1/305
SOX2 amplification16.48%30/182·0%
EGFR SNV / small indel2.75%5/1820.72%1/1390.98%3/305
EGFR amplification12.09%22/182·6.89%21/305
CCND1 SNV / small indel0%0%0.33%1/305
CCND1 amplification34.62%63/182·6.89%21/305
KRAS SNV / small indel1.1%2/1820%9.18%28/305
KRAS amplification7.14%13/182·8.85%27/305
SMAD4 SNV / small indel6.59%12/1820%10.16%31/305
SMAD4 deep deletion8.24%15/182·3.61%11/305
CLDN18 SNV / small indel0.55%1/1820%·
CLDN18 amplification6.59%12/182·0%
KMT2D SNV / small indel11.54%21/18217.99%25/1398.85%27/305
EYS SNV / small indel11.54%21/1820%·
EYS amplification2.2%4/182·0%
UNC13C SNV / small indel10.44%19/1820%·
PCDH15 SNV / small indel10.44%19/1820%·
DYNC2H1 SNV / small indel10.44%19/1820%·
DYNC2H1 amplification2.75%5/182·0%
PIK3CA SNV / small indel9.34%17/1827.91%11/1398.2%25/305
PIK3CA amplification17.58%32/182·0%
LRRK2 SNV / small indel9.34%17/1822.88%4/139·
LAMA1 SNV / small indel9.34%17/1820%·
DCDC1 SNV / small indel8.79%16/1820%·
DCDC1 amplification2.2%4/182·0%
NAV3 SNV / small indel8.24%15/1825.04%7/139·
RIMS1 SNV / small indel7.69%14/1820%·
PTPRD SNV / small indel7.69%14/1822.88%4/1395.57%17/305
PTPRD deep deletion6.04%11/182·0.98%3/305
PRKDC SNV / small indel7.69%14/1820%·
NOTCH1 SNV / small indel7.69%14/1827.91%11/1394.92%15/305
NOTCH1 amplification3.85%7/182·0.33%1/305
IVL SNV / small indel7.69%14/1820%·
IVL amplification3.85%7/182·0%
HUWE1 SNV / small indel7.69%14/1824.32%6/139·
HUWE1 deep deletion2.75%5/182·0%
FMN2 SNV / small indel7.69%14/1823.6%5/139·
DCHS2 SNV / small indel7.69%14/1820%·
COL6A5 SNV / small indel7.69%14/1820%·
COL6A5 amplification3.85%7/182·0%
WDFY4 SNV / small indel7.14%13/1820%·
TRRAP SNV / small indel7.14%13/1820%·
TRRAP amplification10.99%20/182·0%
TENM4 SNV / small indel7.14%13/1820%·
TENM4 amplification3.3%6/182·0%
SI SNV / small indel7.14%13/1826.47%9/139·
SI amplification15.93%29/182·0%
PREX2 SNV / small indel7.14%13/1820%12.12%4/33
PREX2 amplification2.75%5/182·0%
ERBB4 SNV / small indel7.14%13/1824.32%6/1398.2%25/305
ERBB4 deep deletion2.75%5/182·0%
CDH11 SNV / small indel7.14%13/1820%20.0%1/5
ARID1A SNV / small indel7.14%13/1821.44%2/13913.77%42/305
SMARCA4 SNV / small indel6.59%12/1820.72%1/1394.59%14/305
PTPRT SNV / small indel6.59%12/1820%7.54%23/305
PTPRT amplification3.3%6/182·0.98%3/305
PEG3 SNV / small indel6.59%12/1820%·
PDZD2 SNV / small indel6.59%12/1822.88%4/139·
PDZD2 amplification7.69%14/182·0%
PCDH9 SNV / small indel6.59%12/1823.6%5/139·
NBEA SNV / small indel6.59%12/1824.32%6/139·
NBEA amplification3.85%7/182·0%
KMT2C SNV / small indel6.59%12/1827.91%11/1393.61%11/305
KMT2C deep deletion2.2%4/182·0.33%1/305
DOCK2 SNV / small indel6.59%12/1820%·
DCC SNV / small indel6.59%12/1820%·
DCC deep deletion4.4%8/182·0%

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 158 of 182 patients in Esophageal Adenocarcinoma (TCGA, PanCancer Atlas).
Numerator: 158 · Denominator: 182 · Frequency: 86.81% · Observed in 3 cohorts · Confidence: moderate · Source: esca_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

CDKN2A is deleted in 71 of 182 patients in Esophageal Adenocarcinoma (TCGA, PanCancer Atlas).
Numerator: 71 · Denominator: 182 · Frequency: 39.01% · Observed in 3 cohorts · Confidence: moderate · Source: esca_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

CCND1 is amplified in 63 of 182 patients in Esophageal Adenocarcinoma (TCGA, PanCancer Atlas).
Numerator: 63 · Denominator: 182 · Frequency: 34.62% · Observed in 1 cohorts · Confidence: moderate · Source: esca_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, esca_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 158 / 182 86.81% 87.78% 3 / 3 59.71–86.81% R175H (n=10), R248Q (n=9), R248W (n=6), R273H (n=6), R282W (n=5)
ERBB2 curated target amplification 28 / 182 15.38% mutation 6.04% 5.0% 2 / 3 0.0–6.04% V777L (n=2), S310F (n=2), A241V (n=1), M774dup (n=1), L662Q (n=1)
CD274 curated target deep deletion 5 / 182 2.75% mutation 0.0% 0.0% 0 / 3 0.0–0.0% none recurrent
PDCD1 curated target deep deletion 5 / 182 2.75% mutation 0.55% 0.0% 2 / 3 0.0–0.66% T36Hfs*70 (n=1)
CDKN2A curated target deep deletion 71 / 182 39.01% mutation 8.24% 7.78% 3 / 3 2.88–11.15% X153_splice (n=3), H83Y (n=2), G111Afs*8 (n=1), Y44* (n=1), P48L (n=1)
NFE2L2 curated target SNV / small indel 18 / 182 9.89% 10.0% 3 / 3 0.66–9.89% E79Q (n=2), Y46H (n=1), E79G (n=1), L30F (n=1), E79K (n=1)
SOX2 curated target amplification 30 / 182 16.48% mutation 0.0% 0.0% 1 / 3 0.0–0.33% none recurrent
EGFR curated target amplification 22 / 182 12.09% mutation 2.75% 2.22% 3 / 3 0.72–2.75% D314N (n=1), R574W (n=1), P373S (n=1), L1139F (n=1), G598E (n=1)
CCND1 curated target amplification 63 / 182 34.62% mutation 0.0% 0.0% 1 / 3 0.0–0.33% none recurrent
KRAS curated target amplification 13 / 182 7.14% mutation 1.1% 1.11% 2 / 3 0.0–9.18% G12D (n=2)
SMAD4 curated target deep deletion 15 / 182 8.24% mutation 6.59% 6.67% 2 / 3 0.0–10.16% R445* (n=2), R361H (n=1), R361C (n=1), W524L (n=1), G386V (n=1)
CLDN18 curated target amplification 12 / 182 6.59% mutation 0.55% 0.56% 1 / 3 0.0–0.55% Y66* (n=1)
KMT2D by frequency SNV / small indel 21 / 182 11.54% 11.11% 3 / 3 8.85–17.99% Q4732* (n=1), E4731D (n=1), R598H (n=1), Q4329* (n=1), Q3742* (n=1)
EYS by frequency SNV / small indel 21 / 182 11.54% 11.11% 1 / 3 0.0–11.54% F53V (n=1), K1519N (n=1), L1666F (n=1), E422A (n=1), I256K (n=1)
UNC13C by frequency SNV / small indel 19 / 182 10.44% 10.0% 1 / 3 0.0–10.44% L1614M (n=1), L1329V (n=1), K1905T (n=1), I1418V (n=1), A2023G (n=1)
PCDH15 by frequency SNV / small indel 19 / 182 10.44% 10.0% 1 / 3 0.0–10.44% P652H (n=2), L347P (n=1), K1508R (n=1), L347R (n=1), Q27H (n=1)
DYNC2H1 by frequency SNV / small indel 19 / 182 10.44% 10.0% 1 / 3 0.0–10.44% L3038R (n=1), L3066R (n=1), I1727T (n=1), K1870T (n=1), V3597I (n=1)
PIK3CA by frequency amplification 32 / 182 17.58% mutation 9.34% 9.44% 3 / 3 7.91–9.34% E545K (n=6), H1047L (n=3), E726K (n=2), K111N (n=1), F909C (n=1)
LRRK2 by frequency SNV / small indel 17 / 182 9.34% 8.89% 2 / 3 2.88–9.34% L325V (n=1), L744S (n=1), L2300F (n=1), E1156Q (n=1), L1776H (n=1)
LAMA1 by frequency SNV / small indel 17 / 182 9.34% 8.33% 1 / 3 0.0–9.34% R2772C (n=1), G1621S (n=1), N1253T (n=1), T1928P (n=1), V1269L (n=1)
DCDC1 by frequency SNV / small indel 16 / 182 8.79% 8.89% 1 / 3 0.0–8.79% Q85H (n=1), K292M (n=1), A282S (n=1), A731S (n=1), K347R (n=1)
NAV3 by frequency SNV / small indel 15 / 182 8.24% 7.78% 2 / 3 5.04–8.24% P251T (n=1), K558T (n=1), K1694N (n=1), V3L (n=1), L827P (n=1)
RIMS1 by frequency SNV / small indel 14 / 182 7.69% 7.22% 1 / 3 0.0–7.69% W178R (n=1), K1437N (n=1), K1591R (n=1), K1590R (n=1), L1041R (n=1)
PTPRD by frequency SNV / small indel 14 / 182 7.69% 7.78% 3 / 3 2.88–7.69% R1674H (n=1), S363C (n=1), T820I (n=1), L840I (n=1), E675G (n=1)
PRKDC by frequency SNV / small indel 14 / 182 7.69% 6.67% 1 / 3 0.0–7.69% E2012K (n=1), E2009Q (n=1), L2509Ffs*4 (n=1), S3059F (n=1), X3798_splice (n=1)
NOTCH1 by frequency SNV / small indel 14 / 182 7.69% 7.78% 3 / 3 4.92–7.91% A1696V (n=1), N927Qfs*17 (n=1), E488K (n=1), N304Mfs*327 (n=1), X1723_splice (n=1)
IVL by frequency SNV / small indel 14 / 182 7.69% 6.67% 1 / 3 0.0–7.69% E180G (n=1), Q439H (n=1), L173P (n=1), Q272H (n=1), Q339R (n=1)
HUWE1 by frequency SNV / small indel 14 / 182 7.69% 6.67% 2 / 3 4.32–7.69% M4213I (n=1), D3987N (n=1), P715T (n=1), E3184K (n=1), D768E (n=1)
FMN2 by frequency SNV / small indel 14 / 182 7.69% 7.22% 2 / 3 3.6–7.69% L1682R (n=1), Q1400R (n=1), Q745Rfs*11 (n=1), G1005R (n=1), S11R (n=1)
DCHS2 by frequency SNV / small indel 14 / 182 7.69% 7.22% 1 / 3 0.0–7.69% L612R (n=1), V423I (n=1), S62Y (n=1), K2097Q (n=1), D503N (n=1)
COL6A5 by frequency SNV / small indel 14 / 182 7.69% 7.22% 1 / 3 0.0–7.69% H1000N (n=1), T2472P (n=1), G337R (n=1), R2471* (n=1), W2392C (n=1)
WDFY4 by frequency SNV / small indel 13 / 182 7.14% 6.67% 1 / 3 0.0–7.14% F2041L (n=1), K320I (n=1), R3111Q (n=1), L718P (n=1), L2962H (n=1)
TRRAP by frequency amplification 20 / 182 10.99% mutation 7.14% 6.67% 1 / 3 0.0–7.14% E3477K (n=1), W3444C (n=1), A1923V (n=1), T654M (n=1), R2917C (n=1)
TENM4 by frequency SNV / small indel 13 / 182 7.14% 6.67% 1 / 3 0.0–7.14% R2662S (n=1), D1805N (n=1), R1832Q (n=1), R1371C (n=1), R1018H (n=1)
SI by frequency amplification 29 / 182 15.93% mutation 7.14% 7.22% 2 / 3 6.47–7.14% L1167V (n=1), G676Wfs*8 (n=1), G1199C (n=1), V1450G (n=1), F1616I (n=1)
PREX2 by frequency SNV / small indel 13 / 182 7.14% 6.67% 2 / 3 0.0–12.12% N137Tfs*3 (n=1), V416L (n=1), E127G (n=1), R281W (n=1), L50V (n=1)
ERBB4 by frequency SNV / small indel 13 / 182 7.14% 6.11% 3 / 3 4.32–8.2% S449Y (n=1), S430R (n=1), E928* (n=1), C293Y (n=1), N1305Ifs*57 (n=1)
CDH11 by frequency SNV / small indel 13 / 182 7.14% 6.67% 2 / 3 0.0–20.0% F488V (n=1), T219S (n=1), A551T (n=1), D596N (n=1), F358V (n=1)
ARID1A by frequency SNV / small indel 13 / 182 7.14% 6.67% 3 / 3 1.44–13.77% Y560* (n=1), Q1346* (n=1), N791K (n=1), G2087R (n=1), W1073Mfs*32 (n=1)
SMARCA4 by frequency SNV / small indel 12 / 182 6.59% 6.11% 3 / 3 0.72–6.59% T910M (n=2), R874H (n=1), E1211A (n=1), G235D (n=1), R966W (n=1)
PTPRT by frequency SNV / small indel 12 / 182 6.59% 6.11% 2 / 3 0.0–7.54% L668V (n=2), F664C (n=1), S647P (n=1), R359P (n=1), G411S (n=1)
PEG3 by frequency SNV / small indel 12 / 182 6.59% 6.11% 1 / 3 0.0–6.59% A1395S (n=1), L1010V (n=1), V1413A (n=1), G1338V (n=1), E1398D (n=1)
PDZD2 by frequency amplification 14 / 182 7.69% mutation 6.59% 6.67% 2 / 3 2.88–6.59% A162D (n=1), V2477M (n=1), T1060A (n=1), L2671F (n=1), T1425A (n=1)
PCDH9 by frequency SNV / small indel 12 / 182 6.59% 6.11% 2 / 3 3.6–6.59% F1161C (n=1), E36D (n=1), E1072G (n=1), E699K (n=1), S905G (n=1)
NBEA by frequency SNV / small indel 12 / 182 6.59% 5.56% 2 / 3 4.32–6.59% L1537P (n=1), L1914R (n=1), T2103M (n=1), R1552Q (n=1), E156D (n=1)
KMT2C by frequency SNV / small indel 12 / 182 6.59% 6.67% 3 / 3 3.61–7.91% D4635V (n=1), T2078A (n=1), D3628N (n=1), M1607Kfs*59 (n=1), G972E (n=1)
DOCK2 by frequency SNV / small indel 12 / 182 6.59% 6.11% 1 / 3 0.0–6.59% P60R (n=1), K1801R (n=1), K1006T (n=1), K1058T (n=1), R228K (n=1)
DCC by frequency SNV / small indel 12 / 182 6.59% 6.67% 1 / 3 0.0–6.59% R1343H (n=1), N294T (n=1), Q410H (n=1), M915V (n=1), R884W (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
Esophageal Adenocarcinoma (TCGA, PanCancer Atlas) reference
Esophageal Adenocarcinoma (TCGA, PanCancer Atlas)
esca_tcga_pan_can_atlas_2018182 observed182 / 182exome or genomeWES (182)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)2104.0
Esophageal Squamous Cell Carcinoma (UCLA, Nat Genet 2014)
Esophageal Squamous Cell Carcinoma (UCLA, Nat Genet 2014)
escc_ucla_2014139 observed139 / 139mixedUCLA_1202 (119), WES (20)hg19SNV, small indel015
Metastatic Esophagogastric Cancer (MSK, Cancer Discovery 2017)
Metastatic Esophagogastric Cancer (MSK, Cancer Discovery 2017)
egc_msk_2017305 observed341 / 341targeted panelIMPACT410 (178), IMPACT341 (127), IMPACT468 (28), IMPACT300 (8)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)05

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
CDKN2Adeep deletion7118239.01%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
CCND1amplification6318234.62%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
ERBB2amplification7530524.59%egc_msk_2017egc_msk_2017_cna
PIK3CAamplification3218217.58%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
SOX2amplification3018216.48%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
SIamplification2918215.93%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
ERBB2amplification2818215.38%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
EGFRamplification2218212.09%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
TRRAPamplification2018210.99%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
KRASamplification273058.85%egc_msk_2017egc_msk_2017_cna
SMAD4deep deletion151828.24%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
PDZD2amplification141827.69%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
KRASamplification131827.14%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
EGFRamplification213056.89%egc_msk_2017egc_msk_2017_cna
CCND1amplification213056.89%egc_msk_2017egc_msk_2017_cna
CLDN18amplification121826.59%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
CDKN2Adeep deletion203056.56%egc_msk_2017egc_msk_2017_cna
PTPRDdeep deletion111826.04%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
DCCdeep deletion81824.4%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
NOTCH1amplification71823.85%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
IVLamplification71823.85%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
COL6A5amplification71823.85%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
NBEAamplification71823.85%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
SMAD4deep deletion113053.61%egc_msk_2017egc_msk_2017_cna
NFE2L2amplification61823.3%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
TENM4amplification61823.3%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
PTPRTamplification61823.3%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
CD274deep deletion51822.75%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
PDCD1deep deletion51822.75%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
DYNC2H1amplification51822.75%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
HUWE1deep deletion51822.75%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
PREX2amplification51822.75%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
ERBB4deep deletion51822.75%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
CD274amplification41822.2%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
EYSamplification41822.2%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
DCDC1amplification41822.2%esca_tcga_pan_can_atlas_2018esca_tcga_pan_can_atlas_2018_gistic
KMT2Cdeep deletion41822.2%esca_tcga_pan_can_atlas_2018esca_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)
TP5359.71–86.81%esca_tcga_pan_can_atlas_2018: 158/182 (86.81%) · escc_ucla_2014: 83/139 (59.71%) · egc_msk_2017: 224/305 (73.44%)
ERBB20.0–6.04%esca_tcga_pan_can_atlas_2018: 11/182 (6.04%) · escc_ucla_2014: 0/139 (0.0%) · egc_msk_2017: 12/305 (3.93%)
CD2740.0–0.0%esca_tcga_pan_can_atlas_2018: 0/182 (0.0%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: 0/302 (0.0%)
PDCD10.0–0.66%esca_tcga_pan_can_atlas_2018: 1/182 (0.55%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: 2/302 (0.66%)
CDKN2A2.88–11.15%esca_tcga_pan_can_atlas_2018: 15/182 (8.24%) · escc_ucla_2014: 4/139 (2.88%) · egc_msk_2017: 34/305 (11.15%)
NFE2L20.66–9.89%esca_tcga_pan_can_atlas_2018: 18/182 (9.89%) · escc_ucla_2014: 8/139 (5.76%) · egc_msk_2017: 2/305 (0.66%)
SOX20.0–0.33%esca_tcga_pan_can_atlas_2018: 0/182 (0.0%) · escc_ucla_2014: 0/139 (0.0%) · egc_msk_2017: 1/305 (0.33%)
EGFR0.72–2.75%esca_tcga_pan_can_atlas_2018: 5/182 (2.75%) · escc_ucla_2014: 1/139 (0.72%) · egc_msk_2017: 3/305 (0.98%)
CCND10.0–0.33%esca_tcga_pan_can_atlas_2018: 0/182 (0.0%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: 1/305 (0.33%)
KRAS0.0–9.18%esca_tcga_pan_can_atlas_2018: 2/182 (1.1%) · escc_ucla_2014: 0/139 (0.0%) · egc_msk_2017: 28/305 (9.18%)
SMAD40.0–10.16%esca_tcga_pan_can_atlas_2018: 12/182 (6.59%) · escc_ucla_2014: 0/139 (0.0%) · egc_msk_2017: 31/305 (10.16%)
CLDN180.0–0.55%esca_tcga_pan_can_atlas_2018: 1/182 (0.55%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
KMT2D8.85–17.99%esca_tcga_pan_can_atlas_2018: 21/182 (11.54%) · escc_ucla_2014: 25/139 (17.99%) · egc_msk_2017: 27/305 (8.85%)
EYS0.0–11.54%esca_tcga_pan_can_atlas_2018: 21/182 (11.54%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
UNC13C0.0–10.44%esca_tcga_pan_can_atlas_2018: 19/182 (10.44%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
PCDH150.0–10.44%esca_tcga_pan_can_atlas_2018: 19/182 (10.44%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
DYNC2H10.0–10.44%esca_tcga_pan_can_atlas_2018: 19/182 (10.44%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
PIK3CA7.91–9.34%esca_tcga_pan_can_atlas_2018: 17/182 (9.34%) · escc_ucla_2014: 11/139 (7.91%) · egc_msk_2017: 25/305 (8.2%)
LRRK22.88–9.34%esca_tcga_pan_can_atlas_2018: 17/182 (9.34%) · escc_ucla_2014: 4/139 (2.88%) · egc_msk_2017: not assayed
LAMA10.0–9.34%esca_tcga_pan_can_atlas_2018: 17/182 (9.34%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
DCDC10.0–8.79%esca_tcga_pan_can_atlas_2018: 16/182 (8.79%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
NAV35.04–8.24%esca_tcga_pan_can_atlas_2018: 15/182 (8.24%) · escc_ucla_2014: 7/139 (5.04%) · egc_msk_2017: not assayed
RIMS10.0–7.69%esca_tcga_pan_can_atlas_2018: 14/182 (7.69%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
PTPRD2.88–7.69%esca_tcga_pan_can_atlas_2018: 14/182 (7.69%) · escc_ucla_2014: 4/139 (2.88%) · egc_msk_2017: 17/305 (5.57%)
PRKDC0.0–7.69%esca_tcga_pan_can_atlas_2018: 14/182 (7.69%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
NOTCH14.92–7.91%esca_tcga_pan_can_atlas_2018: 14/182 (7.69%) · escc_ucla_2014: 11/139 (7.91%) · egc_msk_2017: 15/305 (4.92%)
IVL0.0–7.69%esca_tcga_pan_can_atlas_2018: 14/182 (7.69%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
HUWE14.32–7.69%esca_tcga_pan_can_atlas_2018: 14/182 (7.69%) · escc_ucla_2014: 6/139 (4.32%) · egc_msk_2017: not assayed
FMN23.6–7.69%esca_tcga_pan_can_atlas_2018: 14/182 (7.69%) · escc_ucla_2014: 5/139 (3.6%) · egc_msk_2017: not assayed
DCHS20.0–7.69%esca_tcga_pan_can_atlas_2018: 14/182 (7.69%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
COL6A50.0–7.69%esca_tcga_pan_can_atlas_2018: 14/182 (7.69%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
WDFY40.0–7.14%esca_tcga_pan_can_atlas_2018: 13/182 (7.14%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
TRRAP0.0–7.14%esca_tcga_pan_can_atlas_2018: 13/182 (7.14%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
TENM40.0–7.14%esca_tcga_pan_can_atlas_2018: 13/182 (7.14%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
SI6.47–7.14%esca_tcga_pan_can_atlas_2018: 13/182 (7.14%) · escc_ucla_2014: 9/139 (6.47%) · egc_msk_2017: not assayed
PREX20.0–12.12%esca_tcga_pan_can_atlas_2018: 13/182 (7.14%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: 4/33 (12.12%)
ERBB44.32–8.2%esca_tcga_pan_can_atlas_2018: 13/182 (7.14%) · escc_ucla_2014: 6/139 (4.32%) · egc_msk_2017: 25/305 (8.2%)
CDH110.0–20.0%esca_tcga_pan_can_atlas_2018: 13/182 (7.14%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: 1/5 (20.0%)
ARID1A1.44–13.77%esca_tcga_pan_can_atlas_2018: 13/182 (7.14%) · escc_ucla_2014: 2/139 (1.44%) · egc_msk_2017: 42/305 (13.77%)
SMARCA40.72–6.59%esca_tcga_pan_can_atlas_2018: 12/182 (6.59%) · escc_ucla_2014: 1/139 (0.72%) · egc_msk_2017: 14/305 (4.59%)
PTPRT0.0–7.54%esca_tcga_pan_can_atlas_2018: 12/182 (6.59%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: 23/305 (7.54%)
PEG30.0–6.59%esca_tcga_pan_can_atlas_2018: 12/182 (6.59%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
PDZD22.88–6.59%esca_tcga_pan_can_atlas_2018: 12/182 (6.59%) · escc_ucla_2014: 4/139 (2.88%) · egc_msk_2017: not assayed
PCDH93.6–6.59%esca_tcga_pan_can_atlas_2018: 12/182 (6.59%) · escc_ucla_2014: 5/139 (3.6%) · egc_msk_2017: not assayed
NBEA4.32–6.59%esca_tcga_pan_can_atlas_2018: 12/182 (6.59%) · escc_ucla_2014: 6/139 (4.32%) · egc_msk_2017: not assayed
KMT2C3.61–7.91%esca_tcga_pan_can_atlas_2018: 12/182 (6.59%) · escc_ucla_2014: 11/139 (7.91%) · egc_msk_2017: 11/305 (3.61%)
DOCK20.0–6.59%esca_tcga_pan_can_atlas_2018: 12/182 (6.59%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed
DCC0.0–6.59%esca_tcga_pan_can_atlas_2018: 12/182 (6.59%) · escc_ucla_2014: 0/20 (0.0%) · egc_msk_2017: not assayed

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/esophageal-cancer.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.