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Pancreatic cancer mutation landscape

How often each gene is altered in pancreatic 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: paad_tcga_pan_can_atlas_2018 · JSON: /disease/pancreatic-cancer/mutations.json · Back to the briefing

Answer block

In Pancreatic Adenocarcinoma (TCGA, PanCancer Atlas) (179 sequenced patients, exome or genome), the most frequently altered of the 47 genes shown are KRAS 65.36%, TP53 59.78%, CDKN2A 28.42% (deep deletion), SMAD4 20.67%, RNF43 6.15%. Each figure divides by the patients on whom that gene could be called.

1 of 179 patients are hypermutated (more than 340 non-silent mutations, ten times the cohort median of 34); every gene's frequency without them is beside the headline.

Of the briefing's 12 curated targets, 6 are altered in under 2% of this cohort (BRCA2, PALB2, EGFR, MSLN, CLDN18, CEACAM5): targets by expression, dependency or drug label, not by mutation. Frequency is not targetability, in either direction.

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%.

Alterationpaad_tcga_pan_can_atlas_2018
179 pts · exome or genome
paad_qcmg_uq_2016
383 pts · exome or genome
pdac_msk_2024
2336 pts · targeted panel
KRAS SNV / small indel65.36%117/17989.82%344/38393.66%2188/2336
KRAS amplification4.37%8/183·1.88%44/2336
TP53 SNV / small indel59.78%107/17965.27%250/38376.07%1777/2336
CDKN2A SNV / small indel19.55%35/17918.02%69/38323.37%546/2336
CDKN2A deep deletion28.42%52/183·15.37%359/2336
SMAD4 SNV / small indel20.67%37/17922.19%85/38321.92%512/2336
SMAD4 deep deletion12.57%23/183·4.37%102/2336
BRCA2 SNV / small indel1.12%2/1791.83%7/3832.83%66/2336
PALB2 SNV / small indel0.56%1/1790.52%2/3830.64%15/2336
ATM SNV / small indel4.47%8/1793.39%13/3832.95%69/2336
EGFR SNV / small indel0.56%1/1790%0.43%10/2336
MSLN SNV / small indel0%0%·
CLDN18 SNV / small indel0%0.26%1/383·
CEACAM5 SNV / small indel0.56%1/1790%·
MUC1 SNV / small indel0.56%1/1790.26%1/383·
MUC1 amplification3.83%7/183·0%
RNF43 SNV / small indel6.15%11/1795.48%21/3836.08%142/2336
PCDH15 SNV / small indel5.03%9/1792.61%10/383·
ARID1A SNV / small indel5.03%9/1797.57%29/3838.73%204/2336
TGFBR2 SNV / small indel4.47%8/1794.7%18/3833.9%91/2336
RNF213 SNV / small indel4.47%8/1791.31%5/383·
MYO18B SNV / small indel4.47%8/1791.31%5/383·
HECW2 SNV / small indel4.47%8/1790.52%2/383·
CACNA1B SNV / small indel4.47%8/1791.57%6/383·
SCN5A SNV / small indel3.91%7/1791.57%6/383·
RREB1 SNV / small indel3.91%7/1791.31%5/383·
RELN SNV / small indel3.91%7/1792.35%9/383·
PCDHB7 SNV / small indel3.91%7/1790%·
MAP3K21 SNV / small indel3.91%7/1790%·
KMT2D SNV / small indel3.91%7/1794.96%19/3834.28%100/2336
KMT2C SNV / small indel3.91%7/1794.96%19/3833.12%73/2336
KDM6A SNV / small indel3.91%7/1793.13%12/3833.9%91/2336
KDM6A deep deletion2.73%5/183·0.34%8/2336
GNAS SNV / small indel3.91%7/1792.61%10/3833.25%76/2336
GLI3 SNV / small indel3.91%7/1794.7%18/383·
FLNC SNV / small indel3.91%7/1790.78%3/383·
FAT2 SNV / small indel3.91%7/1790.78%3/383·
DSCAML1 SNV / small indel3.91%7/1792.09%8/383·
COL6A2 SNV / small indel3.91%7/1790.78%3/383·
APBA2 SNV / small indel3.91%7/1790.52%2/383·
ADAMTS12 SNV / small indel3.91%7/1790.52%2/383·
TPO SNV / small indel3.35%6/1791.83%7/383·
PEG3 SNV / small indel3.35%6/1791.57%6/383·
PCDH9 SNV / small indel3.35%6/1790.78%3/383·
NOS1 SNV / small indel3.35%6/1791.83%7/383·
KCNA6 SNV / small indel3.35%6/1790.78%3/383·
KCNA6 amplification2.73%5/183·0%
FN1 SNV / small indel3.35%6/1791.83%7/383·
FLT4 SNV / small indel3.35%6/1790.78%3/3831.33%31/2336
FLNA SNV / small indel3.35%6/1790.52%2/383·
FLNA amplification2.19%4/183·0%
COL5A1 SNV / small indel3.35%6/1792.09%8/383·
ADAMTS16 SNV / small indel3.35%6/1791.31%5/383·
ABTB3 SNV / small indel3.35%6/1790.26%1/383·

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

Key findings

KRAS is mutated in 117 of 179 patients in Pancreatic Adenocarcinoma (TCGA, PanCancer Atlas).
Numerator: 117 · Denominator: 179 · Frequency: 65.36% · Observed in 3 cohorts · Confidence: moderate · Source: paad_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

TP53 is mutated in 107 of 179 patients in Pancreatic Adenocarcinoma (TCGA, PanCancer Atlas).
Numerator: 107 · Denominator: 179 · Frequency: 59.78% · Observed in 3 cohorts · Confidence: moderate · Source: paad_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

CDKN2A is deleted in 52 of 183 patients in Pancreatic Adenocarcinoma (TCGA, PanCancer Atlas).
Numerator: 52 · Denominator: 183 · Frequency: 28.42% · Observed in 3 cohorts · Confidence: moderate · Source: paad_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, paad_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
KRAS curated target SNV / small indel 117 / 179 65.36% 65.17% 3 / 3 65.36–93.66% G12D (n=49), G12V (n=33), G12R (n=25), Q61H (n=6), Q61R (n=2)
TP53 curated target SNV / small indel 107 / 179 59.78% 60.11% 3 / 3 59.78–76.07% R175H (n=4), R248Q (n=4), R248W (n=4), R273H (n=3), R273C (n=3)
CDKN2A curated target deep deletion 52 / 183 28.42% mutation 19.55% 19.66% 3 / 3 18.02–23.37% R80* (n=6), H83Y (n=3), R58* (n=2), T18_A19dup (n=1), V28_E33del (n=1)
SMAD4 curated target SNV / small indel 37 / 179 20.67% 20.22% 3 / 3 20.67–22.19% R361C (n=3), E520* (n=2), G352* (n=2), S227Vfs*14 (n=1), Q289* (n=1)
BRCA2 curated target SNV / small indel 2 / 179 1.12% 0.56% 3 / 3 1.12–2.83% V2716Wfs*17 (n=1), T1346N (n=1), N1642T (n=1), N1784Kfs*3 (n=1), I1017F (n=1)
PALB2 curated target SNV / small indel 1 / 179 0.56% 0.0% 3 / 3 0.52–0.64% D595A (n=1), A308T (n=1)
ATM curated target SNV / small indel 8 / 179 4.47% 3.93% 3 / 3 2.95–4.47% R1898Q (n=1), G3030V (n=1), R337C (n=1), X947_splice (n=1), X633_splice (n=1)
EGFR curated target SNV / small indel 1 / 179 0.56% 0.0% 2 / 3 0.0–0.56% R669* (n=1), D800G (n=1)
MSLN curated target SNV / small indel 0 / 179 0.0% 0.0% 0 / 3 0.0–0.0% none recurrent
CLDN18 curated target amplification 1 / 183 0.55% mutation 0.0% 0.0% 1 / 3 0.0–0.26% none recurrent
CEACAM5 curated target amplification 3 / 183 1.64% mutation 0.56% 0.0% 1 / 3 0.0–0.56% L462H (n=1), P525S (n=1)
MUC1 curated target amplification 7 / 183 3.83% mutation 0.56% 0.0% 2 / 3 0.26–0.56% F306I (n=1)
RNF43 by frequency SNV / small indel 11 / 179 6.15% 5.62% 3 / 3 5.48–6.15% Q22* (n=1), A11Lfs*27 (n=1), R145* (n=1), L61Qfs*13 (n=1), X125_splice (n=1)
PCDH15 by frequency SNV / small indel 9 / 179 5.03% 4.49% 2 / 3 2.61–5.03% T1268K (n=1), V1549Cfs*13 (n=1), D470N (n=1), G737C (n=1), S1541I (n=1)
ARID1A by frequency SNV / small indel 9 / 179 5.03% 4.49% 3 / 3 5.03–8.73% E1542* (n=1), R1276* (n=1), X1239_splice (n=1), G1926Efs*30 (n=1), Q1947* (n=1)
TGFBR2 by frequency SNV / small indel 8 / 179 4.47% 3.93% 3 / 3 3.9–4.7% D549Y (n=1), Q191* (n=1), L386Tfs*26 (n=1), E551V (n=1), R562C (n=1)
RNF213 by frequency SNV / small indel 8 / 179 4.47% 3.93% 2 / 3 1.31–4.47% G3906R (n=1), R3386H (n=1), G3031D (n=1), R4338H (n=1), I835F (n=1)
MYO18B by frequency SNV / small indel 8 / 179 4.47% 3.93% 2 / 3 1.31–4.47% R2358I (n=1), R379Q (n=1), D685H (n=1), V309L (n=1), A1934T (n=1)
HECW2 by frequency SNV / small indel 8 / 179 4.47% 3.93% 2 / 3 0.52–4.47% R271H (n=2), H245R (n=1), E757K (n=1), I1319T (n=1), R958W (n=1)
CACNA1B by frequency SNV / small indel 8 / 179 4.47% 3.93% 2 / 3 1.57–4.47% R2184H (n=1), R1957H (n=1), T2024M (n=1), V1051M (n=1), V1375M (n=1)
SCN5A by frequency SNV / small indel 7 / 179 3.91% 3.37% 2 / 3 1.57–3.91% A185T (n=1), D1790N (n=1), A993T (n=1), R1027W (n=1), A949V (n=1)
RREB1 by frequency SNV / small indel 7 / 179 3.91% 3.37% 2 / 3 1.31–3.91% E955K (n=1), E312D (n=1), Q313* (n=1), A380T (n=1), C321Hfs*3 (n=1)
RELN by frequency SNV / small indel 7 / 179 3.91% 3.37% 2 / 3 2.35–3.91% D1215N (n=1), A150V (n=1), R2285H (n=1), V3365I (n=1), X1435_splice (n=1)
PCDHB7 by frequency SNV / small indel 7 / 179 3.91% 3.37% 1 / 3 0.0–3.91% A676V (n=2), V709L (n=1), C712W (n=1), E29K (n=1), F764Y (n=1)
MAP3K21 by frequency SNV / small indel 7 / 179 3.91% 3.37% 1 / 3 0.0–3.91% R575* (n=1), Y724* (n=1), V525M (n=1), E489D (n=1), M302* (n=1)
KMT2D by frequency SNV / small indel 7 / 179 3.91% 3.37% 3 / 3 3.91–4.96% E517Sfs*413 (n=1), A2491Gfs*15 (n=1), L5219I (n=1), A4959V (n=1), A5118V (n=1)
KMT2C by frequency SNV / small indel 7 / 179 3.91% 3.37% 3 / 3 3.12–4.96% S888F (n=1), S1182* (n=1), P3905Lfs*29 (n=1), D1107G (n=1), I2122M (n=1)
KDM6A by frequency SNV / small indel 7 / 179 3.91% 3.93% 3 / 3 3.13–3.91% X642_splice (n=1), S238Lfs*6 (n=1), X188_splice (n=1), R922* (n=1), X1392_splice (n=1)
GNAS by frequency SNV / small indel 7 / 179 3.91% 3.37% 3 / 3 2.61–3.91% R201C (n=4), R201H (n=2), V184M (n=1)
GLI3 by frequency SNV / small indel 7 / 179 3.91% 3.37% 2 / 3 3.91–4.7% V514M (n=1), R989W (n=1), T615S (n=1), R1182W (n=1), A1190T (n=1)
FLNC by frequency SNV / small indel 7 / 179 3.91% 3.37% 2 / 3 0.78–3.91% D2389Kfs*2 (n=1), E48K (n=1), Y281C (n=1), S2428P (n=1), A2273T (n=1)
FAT2 by frequency SNV / small indel 7 / 179 3.91% 3.37% 2 / 3 0.78–3.91% X3143_splice (n=1), A3940V (n=1), A3231T (n=1), A1078T (n=1), A3345V (n=1)
DSCAML1 by frequency SNV / small indel 7 / 179 3.91% 3.37% 2 / 3 2.09–3.91% R1080W (n=1), A2061T (n=1), A1617V (n=1), I1742L (n=1), T412M (n=1)
COL6A2 by frequency SNV / small indel 7 / 179 3.91% 3.37% 2 / 3 0.78–3.91% V980M (n=2), A698V (n=1), V662M (n=1), R181H (n=1), V598E (n=1)
APBA2 by frequency SNV / small indel 7 / 179 3.91% 3.37% 2 / 3 0.52–3.91% G294R (n=1), S283L (n=1), A523S (n=1), Q317H (n=1), V675M (n=1)
ADAMTS12 by frequency SNV / small indel 7 / 179 3.91% 3.37% 2 / 3 0.52–3.91% E303* (n=1), N1006K (n=1), V1392M (n=1), X843_splice (n=1), E791K (n=1)
TPO by frequency SNV / small indel 6 / 179 3.35% 2.81% 2 / 3 1.83–3.35% R602C (n=1), M58I (n=1), T57M (n=1), R602H (n=1), R189* (n=1)
PEG3 by frequency SNV / small indel 6 / 179 3.35% 2.81% 2 / 3 1.57–3.35% E421G (n=1), K125N (n=1), R930H (n=1), A543T (n=1), T440I (n=1)
PCDH9 by frequency SNV / small indel 6 / 179 3.35% 2.81% 2 / 3 0.78–3.35% A1225V (n=1), N1218Y (n=1), V116L (n=1), V193M (n=1), G1121* (n=1)
NOS1 by frequency SNV / small indel 6 / 179 3.35% 2.81% 2 / 3 1.83–3.35% R672H (n=1), R1268Q (n=1), A188V (n=1), D655G (n=1), R121W (n=1)
KCNA6 by frequency SNV / small indel 6 / 179 3.35% 2.81% 2 / 3 0.78–3.35% R281C (n=1), G255R (n=1), P70S (n=1), A284T (n=1), T268M (n=1)
FN1 by frequency SNV / small indel 6 / 179 3.35% 2.81% 2 / 3 1.83–3.35% N416S (n=1), T667I (n=1), Q1615E (n=1), R903C (n=1), T405I (n=1)
FLT4 by frequency SNV / small indel 6 / 179 3.35% 2.81% 3 / 3 0.78–3.35% R1145C (n=1), X226_splice (n=1), A1158V (n=1), G857R (n=1), L234M (n=1)
FLNA by frequency SNV / small indel 6 / 179 3.35% 2.81% 2 / 3 0.52–3.35% G1384C (n=1), Y1712C (n=1), G881S (n=1), S757N (n=1), K2289N (n=1)
COL5A1 by frequency SNV / small indel 6 / 179 3.35% 2.81% 2 / 3 2.09–3.35% P657L (n=2), R828W (n=1), R1709H (n=1), D382N (n=1), D195N (n=1)
ADAMTS16 by frequency SNV / small indel 6 / 179 3.35% 2.81% 2 / 3 1.31–3.35% R878H (n=1), N636S (n=1), Q760* (n=1), R808Q (n=1), C1095Y (n=1)
ABTB3 by frequency SNV / small indel 6 / 179 3.35% 2.81% 2 / 3 0.26–3.35% V819I (n=1), R1085M (n=1), L1067M (n=1), C844* (n=1), Q394H (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
Pancreatic Adenocarcinoma (TCGA, PanCancer Atlas) reference
Pancreatic Adenocarcinoma (TCGA, PanCancer Atlas)
paad_tcga_pan_can_atlas_2018179 observed179 / 184exome or genomeWES (179)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)134
Pancreatic Adenocarcinoma (QCMG, Nature 2016)
Pancreatic Adenocarcinoma (QCMG, Nature 2016)
paad_qcmg_uq_2016383 observed383 / 456exome or genomeWES (383)hg19SNV, small indel331
Pancreatic Adenocarcinoma (MSK, Nat Med 2024)
Pancreatic Adenocarcinoma (MSK, Nat Med 2024)
pdac_msk_20242336 observed2336 / 2336targeted panelIMPACT468 (1536), IMPACT410 (438), IMPACT505 (345), IMPACT341 (17)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)04.0

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
CDKN2Adeep deletion5218328.42%paad_tcga_pan_can_atlas_2018paad_tcga_pan_can_atlas_2018_gistic
CDKN2Adeep deletion359233615.37%pdac_msk_2024pdac_msk_2024_cna
SMAD4deep deletion2318312.57%paad_tcga_pan_can_atlas_2018paad_tcga_pan_can_atlas_2018_gistic
KRASamplification81834.37%paad_tcga_pan_can_atlas_2018paad_tcga_pan_can_atlas_2018_gistic
SMAD4deep deletion10223364.37%pdac_msk_2024pdac_msk_2024_cna
MUC1amplification71833.83%paad_tcga_pan_can_atlas_2018paad_tcga_pan_can_atlas_2018_gistic
KDM6Adeep deletion51832.73%paad_tcga_pan_can_atlas_2018paad_tcga_pan_can_atlas_2018_gistic
KCNA6amplification51832.73%paad_tcga_pan_can_atlas_2018paad_tcga_pan_can_atlas_2018_gistic
FLNAamplification41832.19%paad_tcga_pan_can_atlas_2018paad_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)
KRAS65.36–93.66%paad_tcga_pan_can_atlas_2018: 117/179 (65.36%) · paad_qcmg_uq_2016: 344/383 (89.82%) · pdac_msk_2024: 2188/2336 (93.66%)
TP5359.78–76.07%paad_tcga_pan_can_atlas_2018: 107/179 (59.78%) · paad_qcmg_uq_2016: 250/383 (65.27%) · pdac_msk_2024: 1777/2336 (76.07%)
CDKN2A18.02–23.37%paad_tcga_pan_can_atlas_2018: 35/179 (19.55%) · paad_qcmg_uq_2016: 69/383 (18.02%) · pdac_msk_2024: 546/2336 (23.37%)
SMAD420.67–22.19%paad_tcga_pan_can_atlas_2018: 37/179 (20.67%) · paad_qcmg_uq_2016: 85/383 (22.19%) · pdac_msk_2024: 512/2336 (21.92%)
BRCA21.12–2.83%paad_tcga_pan_can_atlas_2018: 2/179 (1.12%) · paad_qcmg_uq_2016: 7/383 (1.83%) · pdac_msk_2024: 66/2336 (2.83%)
PALB20.52–0.64%paad_tcga_pan_can_atlas_2018: 1/179 (0.56%) · paad_qcmg_uq_2016: 2/383 (0.52%) · pdac_msk_2024: 15/2336 (0.64%)
ATM2.95–4.47%paad_tcga_pan_can_atlas_2018: 8/179 (4.47%) · paad_qcmg_uq_2016: 13/383 (3.39%) · pdac_msk_2024: 69/2336 (2.95%)
EGFR0.0–0.56%paad_tcga_pan_can_atlas_2018: 1/179 (0.56%) · paad_qcmg_uq_2016: 0/383 (0.0%) · pdac_msk_2024: 10/2336 (0.43%)
MSLN0.0–0.0%paad_tcga_pan_can_atlas_2018: 0/179 (0.0%) · paad_qcmg_uq_2016: 0/383 (0.0%) · pdac_msk_2024: not assayed
CLDN180.0–0.26%paad_tcga_pan_can_atlas_2018: 0/179 (0.0%) · paad_qcmg_uq_2016: 1/383 (0.26%) · pdac_msk_2024: not assayed
CEACAM50.0–0.56%paad_tcga_pan_can_atlas_2018: 1/179 (0.56%) · paad_qcmg_uq_2016: 0/383 (0.0%) · pdac_msk_2024: not assayed
MUC10.26–0.56%paad_tcga_pan_can_atlas_2018: 1/179 (0.56%) · paad_qcmg_uq_2016: 1/383 (0.26%) · pdac_msk_2024: not assayed
RNF435.48–6.15%paad_tcga_pan_can_atlas_2018: 11/179 (6.15%) · paad_qcmg_uq_2016: 21/383 (5.48%) · pdac_msk_2024: 142/2336 (6.08%)
PCDH152.61–5.03%paad_tcga_pan_can_atlas_2018: 9/179 (5.03%) · paad_qcmg_uq_2016: 10/383 (2.61%) · pdac_msk_2024: not assayed
ARID1A5.03–8.73%paad_tcga_pan_can_atlas_2018: 9/179 (5.03%) · paad_qcmg_uq_2016: 29/383 (7.57%) · pdac_msk_2024: 204/2336 (8.73%)
TGFBR23.9–4.7%paad_tcga_pan_can_atlas_2018: 8/179 (4.47%) · paad_qcmg_uq_2016: 18/383 (4.7%) · pdac_msk_2024: 91/2336 (3.9%)
RNF2131.31–4.47%paad_tcga_pan_can_atlas_2018: 8/179 (4.47%) · paad_qcmg_uq_2016: 5/383 (1.31%) · pdac_msk_2024: not assayed
MYO18B1.31–4.47%paad_tcga_pan_can_atlas_2018: 8/179 (4.47%) · paad_qcmg_uq_2016: 5/383 (1.31%) · pdac_msk_2024: not assayed
HECW20.52–4.47%paad_tcga_pan_can_atlas_2018: 8/179 (4.47%) · paad_qcmg_uq_2016: 2/383 (0.52%) · pdac_msk_2024: not assayed
CACNA1B1.57–4.47%paad_tcga_pan_can_atlas_2018: 8/179 (4.47%) · paad_qcmg_uq_2016: 6/383 (1.57%) · pdac_msk_2024: not assayed
SCN5A1.57–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 6/383 (1.57%) · pdac_msk_2024: not assayed
RREB11.31–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 5/383 (1.31%) · pdac_msk_2024: not assayed
RELN2.35–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 9/383 (2.35%) · pdac_msk_2024: not assayed
PCDHB70.0–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 0/383 (0.0%) · pdac_msk_2024: not assayed
MAP3K210.0–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 0/383 (0.0%) · pdac_msk_2024: not assayed
KMT2D3.91–4.96%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 19/383 (4.96%) · pdac_msk_2024: 100/2336 (4.28%)
KMT2C3.12–4.96%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 19/383 (4.96%) · pdac_msk_2024: 73/2336 (3.12%)
KDM6A3.13–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 12/383 (3.13%) · pdac_msk_2024: 91/2336 (3.9%)
GNAS2.61–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 10/383 (2.61%) · pdac_msk_2024: 76/2336 (3.25%)
GLI33.91–4.7%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 18/383 (4.7%) · pdac_msk_2024: not assayed
FLNC0.78–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 3/383 (0.78%) · pdac_msk_2024: not assayed
FAT20.78–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 3/383 (0.78%) · pdac_msk_2024: not assayed
DSCAML12.09–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 8/383 (2.09%) · pdac_msk_2024: not assayed
COL6A20.78–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 3/383 (0.78%) · pdac_msk_2024: not assayed
APBA20.52–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 2/383 (0.52%) · pdac_msk_2024: not assayed
ADAMTS120.52–3.91%paad_tcga_pan_can_atlas_2018: 7/179 (3.91%) · paad_qcmg_uq_2016: 2/383 (0.52%) · pdac_msk_2024: not assayed
TPO1.83–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 7/383 (1.83%) · pdac_msk_2024: not assayed
PEG31.57–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 6/383 (1.57%) · pdac_msk_2024: not assayed
PCDH90.78–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 3/383 (0.78%) · pdac_msk_2024: not assayed
NOS11.83–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 7/383 (1.83%) · pdac_msk_2024: not assayed
KCNA60.78–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 3/383 (0.78%) · pdac_msk_2024: not assayed
FN11.83–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 7/383 (1.83%) · pdac_msk_2024: not assayed
FLT40.78–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 3/383 (0.78%) · pdac_msk_2024: 31/2336 (1.33%)
FLNA0.52–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 2/383 (0.52%) · pdac_msk_2024: not assayed
COL5A12.09–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 8/383 (2.09%) · pdac_msk_2024: not assayed
ADAMTS161.31–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 5/383 (1.31%) · pdac_msk_2024: not assayed
ABTB30.26–3.35%paad_tcga_pan_can_atlas_2018: 6/179 (3.35%) · paad_qcmg_uq_2016: 1/383 (0.26%) · pdac_msk_2024: 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/pancreatic-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.