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Disease intelligence · mutation landscape

Cholangiocarcinoma mutation landscape

How often each gene is altered in cholangiocarcinoma, 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: chol_icgc_2017 · JSON: /disease/cholangiocarcinoma/mutations.json · Back to the briefing

Answer block

In Cholangiocarcinoma (ICGC, Cancer Discov 2017) (417 sequenced patients, exome or genome), the most frequently altered of the 44 genes shown are TP53 35.25%, ARID1A 19.18%, KRAS 18.23%, SMAD4 14.39%, BAP1 9.35%. Each figure divides by the patients on whom that gene could be called.

4 of 417 patients are hypermutated (more than 100 non-silent mutations, ten times the cohort median of 6); every gene's frequency without them is beside the headline.

Of the briefing's 12 curated targets, 1 are altered in under 2% of this cohort (CD274): 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%.

Alterationchol_icgc_2017
417 pts · exome or genome
ihch_msk_2021
412 pts · targeted panel
chol_msk_2018
192 pts · targeted panel
FGFR2 SNV / small indel2.88%12/4174.37%18/4121.56%3/192
IDH1 SNV / small indel3.84%16/41720.63%85/41224.48%47/192
KRAS SNV / small indel18.23%76/4179.47%39/41211.98%23/192
TP53 SNV / small indel35.25%147/41716.99%70/41222.92%44/192
ERBB2 SNV / small indel4.08%17/4171.21%5/4121.04%2/192
ERBB2 amplification·1.7%7/4123.65%7/192
BRAF SNV / small indel3.36%14/4176.31%26/4124.69%9/192
BAP1 SNV / small indel9.35%39/41717.48%72/41213.54%26/192
ARID1A SNV / small indel19.18%80/41718.93%78/41220.83%40/192
CDKN2A SNV / small indel3.12%13/4172.18%9/4122.08%4/192
CDKN2A deep deletion·8.5%35/4127.81%15/192
PBRM1 SNV / small indel6.95%29/41710.44%43/41210.42%20/192
SMAD4 SNV / small indel14.39%60/4172.18%9/4128.33%16/192
CD274 SNV / small indel0%0%0%
FSIP2 SNV / small indel8.87%37/417··
EPHA2 SNV / small indel8.63%36/417··
APC SNV / small indel7.91%33/4171.21%5/4121.56%3/192
KMT2D SNV / small indel7.19%30/4173.16%13/4124.69%9/192
KMT2C SNV / small indel6.95%29/4172.91%12/4126.77%13/192
ELF3 SNV / small indel6.95%29/4172.67%6/225·
ELF3 amplification·2.18%9/4120%
ARID2 SNV / small indel6.0%25/4173.4%14/4122.08%4/192
STK11 SNV / small indel5.52%23/4170.97%4/4122.6%5/192
PXDN SNV / small indel5.52%23/417··
ATM SNV / small indel5.52%23/4174.85%20/4127.81%15/192
RNF43 SNV / small indel5.28%22/4171.7%7/4121.56%3/192
ADAMTS20 SNV / small indel5.28%22/417··
SF3B1 SNV / small indel5.04%21/4172.18%9/4122.6%5/192
RNF213 SNV / small indel5.04%21/417··
PIK3CA SNV / small indel5.04%21/4174.13%17/4126.77%13/192
GNAS SNV / small indel5.04%21/4170%0.52%1/192
GNAS amplification·0.97%4/4122.6%5/192
FAT2 SNV / small indel4.8%20/417··
ESX1 SNV / small indel4.8%20/417··
ADGRG4 SNV / small indel4.8%20/417··
ACAN SNV / small indel4.8%20/417··
RASA1 SNV / small indel4.56%19/4174.13%17/4124.69%9/192
GLI3 SNV / small indel4.56%19/417··
CTNNA2 SNV / small indel4.56%19/417··
ACVR2A SNV / small indel4.56%19/417··
ROBO2 SNV / small indel4.32%18/417··
LAMA2 SNV / small indel4.32%18/417··
LAMA1 SNV / small indel4.08%17/417··
ARID1B SNV / small indel4.08%17/4172.18%9/4122.6%5/192
ROBO3 SNV / small indel3.84%16/417··
BSN SNV / small indel3.84%16/417··
BRCA2 SNV / small indel3.84%16/4170.97%4/4121.04%2/192
ASTN1 SNV / small indel3.84%16/417··

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 147 of 417 patients in Cholangiocarcinoma (ICGC, Cancer Discov 2017).
Numerator: 147 · Denominator: 417 · Frequency: 35.25% · Observed in 3 cohorts · Confidence: moderate · Source: chol_icgc_2017 · Retrieved: 2026-09-18

ARID1A is mutated in 80 of 417 patients in Cholangiocarcinoma (ICGC, Cancer Discov 2017).
Numerator: 80 · Denominator: 417 · Frequency: 19.18% · Observed in 3 cohorts · Confidence: moderate · Source: chol_icgc_2017 · Retrieved: 2026-09-18

KRAS is mutated in 76 of 417 patients in Cholangiocarcinoma (ICGC, Cancer Discov 2017).
Numerator: 76 · Denominator: 417 · Frequency: 18.23% · Observed in 3 cohorts · Confidence: moderate · Source: chol_icgc_2017 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, chol_icgc_2017; 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.

FDA biomarker marks a gene the FDA recognises as a biomarker of response to an approved drug; FDA, tumour-agnostic marks the five that apply whatever the primary site. Hover for the drug, the tumour type and the year. This is level 1 only, United States only, and frozen at November 2022 — a dash means the gene was not FDA-recognised on that date, not that it is undruggable, and not that no trial exists. The frequency beside it is how often the gene is altered in this disease, which is a different question from whether these patients are eligible for the drug. Source: Quantifying the Expanding Landscape of Clinical Actionability for Patients with Cancer. Cancer Discovery 2024;14(1):49-65. doi:10.1158/2159-8290.CD-23-0467, Table 1

GeneFDA statusWhy listedLargest alterationAltered / testedFrequencyWithout hypermutatedCohorts observedRange across cohortsRecurrent changes
FGFR2 FDA biomarker2019 · 4 drugs curated target SNV / small indel 12 / 417 2.88% 2.66% 3 / 3 1.56–4.37% Y375C (n=3), H167_N173del (n=1), N549K (n=1), N549S (n=1), M640I (n=1)
IDH1 FDA biomarker2018 · 1 drug curated target SNV / small indel 16 / 417 3.84% 3.87% 3 / 3 3.84–24.48% R132C (n=9), R132G (n=4), R132L (n=3), R132S (n=2)
KRAS FDA, wild-type2009 · 3 drugs curated target SNV / small indel 76 / 417 18.23% 18.16% 3 / 3 9.47–18.23% G12D (n=27), G12V (n=17), Q61H (n=7), G13D (n=6), G12A (n=5)
TP53 — curated target SNV / small indel 147 / 417 35.25% 34.87% 3 / 3 16.99–35.25% R273H (n=7), R273C (n=7), R175H (n=6), R306* (n=6), G245S (n=4)
ERBB2 FDA biomarker1998 · 9 drugs curated target SNV / small indel 17 / 417 4.08% 4.12% 3 / 3 1.04–4.08% R678Q (n=3), T862A (n=2), Y772_A775dup (n=2), V842I (n=1), D769H (n=1)
BRAF FDA, tumour-agnostic2011 · 8 drugs curated target SNV / small indel 14 / 417 3.36% 3.15% 3 / 3 3.36–6.31% N581S (n=3), G469A (n=2), V600E (n=1), T241M (n=1), D594A (n=1)
BAP1 — curated target SNV / small indel 39 / 417 9.35% 9.2% 3 / 3 9.35–17.48% X146_splice (n=2), N504Tfs*67 (n=2), Q272* (n=1), F81L (n=1), X23_splice (n=1)
ARID1A — curated target SNV / small indel 80 / 417 19.18% 18.64% 3 / 3 18.93–20.83% D1850Tfs*33 (n=3), G276Efs*87 (n=3), G2087R (n=2), P886Hfs*5 (n=2), S634* (n=2)
CDKN2A — curated target SNV / small indel 13 / 417 3.12% 3.15% 3 / 3 2.08–3.12% R80* (n=2), D125Efs*21 (n=1), X153_splice (n=1), R46Qfs*73 (n=1), A36G (n=1)
PBRM1 — curated target SNV / small indel 29 / 417 6.95% 6.54% 3 / 3 6.95–10.44% N258Kfs*6 (n=2), Y417* (n=1), E1189Rfs*6 (n=1), X129_splice (n=1), E620K (n=1)
SMAD4 — curated target SNV / small indel 60 / 417 14.39% 14.53% 3 / 3 2.18–14.39% R361C (n=6), R361H (n=4), R445* (n=3), H530Tfs*47 (n=2), E330K (n=2)
CD274 — curated target SNV / small indel 0 / 417 0.0% 0.0% 0 / 3 0.0–0.0% none recurrent
FSIP2 — by frequency SNV / small indel 37 / 417 8.87% 7.99% 1 / 3 8.87–8.87% K659Nfs*12 (n=2), K6528Nfs*5 (n=2), Q5369K (n=1), A6171G (n=1), I3085V (n=1)
EPHA2 — by frequency SNV / small indel 36 / 417 8.63% 8.47% 1 / 3 8.63–8.63% P460Rfs*33 (n=6), S419* (n=2), I145Nfs*5 (n=1), P786A (n=1), V755A (n=1)
APC — by frequency SNV / small indel 33 / 417 7.91% 7.26% 3 / 3 1.21–7.91% T1556Nfs*3 (n=3), P1594Afs*38 (n=2), R2204* (n=2), K1593Nfs*57 (n=1), E1577* (n=1)
KMT2D — by frequency SNV / small indel 30 / 417 7.19% 6.54% 3 / 3 3.16–7.19% P2354Lfs*30 (n=2), P1691Hfs*31 (n=1), A1390Qfs*27 (n=1), G2265Efs*21 (n=1), P750L (n=1)
KMT2C — by frequency SNV / small indel 29 / 417 6.95% 6.3% 3 / 3 2.91–6.95% K2797Rfs*26 (n=2), X2481_splice (n=2), Q2054* (n=1), F4496Lfs*21 (n=1), R2240I (n=1)
ELF3 — by frequency SNV / small indel 29 / 417 6.95% 6.78% 2 / 3 2.67–6.95% E343* (n=2), N83Kfs*9 (n=1), R344Q (n=1), N357Kfs*114 (n=1), M324Nfs*147 (n=1)
ARID2 — by frequency SNV / small indel 25 / 417 6.0% 5.81% 3 / 3 2.08–6.0% T426M (n=1), Q1611* (n=1), T663* (n=1), X1786_splice (n=1), E376K (n=1)
STK11 — by frequency SNV / small indel 23 / 417 5.52% 5.33% 3 / 3 0.97–5.52% X288_splice (n=2), P281Rfs*6 (n=1), Q220* (n=1), E121* (n=1), Y60* (n=1)
PXDN — by frequency SNV / small indel 23 / 417 5.52% 5.08% 1 / 3 5.52–5.52% N865Mfs*25 (n=2), C857Lfs*10 (n=2), D1212N (n=1), G746S (n=1), E1186K (n=1)
ATM FDA biomarker2020 · 1 drug by frequency SNV / small indel 23 / 417 5.52% 5.08% 3 / 3 4.85–7.81% R1618* (n=2), G2695V (n=1), E609* (n=1), G2695S (n=1), N6T (n=1)
RNF43 — by frequency SNV / small indel 22 / 417 5.28% 4.84% 3 / 3 1.56–5.28% G659Vfs*41 (n=7), L82* (n=1), W259* (n=1), D465Qfs*2 (n=1), M55Wfs*7 (n=1)
ADAMTS20 — by frequency SNV / small indel 22 / 417 5.28% 4.36% 1 / 3 5.28–5.28% W1367R (n=1), G649D (n=1), R603* (n=1), K548N (n=1), G115R (n=1)
SF3B1 — by frequency SNV / small indel 21 / 417 5.04% 4.6% 3 / 3 2.18–5.04% R625H (n=4), K700E (n=3), G740E (n=3), E776G (n=1), M675L (n=1)
RNF213 — by frequency SNV / small indel 21 / 417 5.04% 4.12% 1 / 3 5.04–5.04% S2684L (n=2), Y2715C (n=2), A385T (n=1), R2639G (n=1), D5020N (n=1)
PIK3CA FDA biomarker2019 · 1 drug by frequency SNV / small indel 21 / 417 5.04% 4.36% 3 / 3 4.13–6.77% H1047R (n=3), H1047L (n=3), M1043I (n=2), R88Q (n=2), T1025A (n=1)
GNAS — by frequency SNV / small indel 21 / 417 5.04% 4.6% 2 / 3 0.0–5.04% R201H (n=10), R201C (n=9), Q227R (n=1), K53T (n=1)
FAT2 — by frequency SNV / small indel 20 / 417 4.8% 4.12% 1 / 3 4.8–4.8% R4236Q (n=2), Y3462Lfs*26 (n=2), Q1766H (n=1), L1379F (n=1), G1710D (n=1)
ESX1 — by frequency SNV / small indel 20 / 417 4.8% 4.36% 1 / 3 4.8–4.8% P347R (n=14), R338P (n=4), V339L (n=3), G79S (n=1), A145T (n=1)
ADGRG4 — by frequency SNV / small indel 20 / 417 4.8% 3.87% 1 / 3 4.8–4.8% F36Lfs*8 (n=1), G2563W (n=1), K1281N (n=1), M927I (n=1), T2271M (n=1)
ACAN — by frequency SNV / small indel 20 / 417 4.8% 4.12% 1 / 3 4.8–4.8% I1829N (n=1), I73M (n=1), G1757R (n=1), G1914W (n=1), E1907Q (n=1)
RASA1 — by frequency SNV / small indel 19 / 417 4.56% 3.63% 3 / 3 4.13–4.69% R789* (n=2), P144Wfs*28 (n=1), P141Lfs*33 (n=1), W638* (n=1), G83E (n=1)
GLI3 — by frequency SNV / small indel 19 / 417 4.56% 4.12% 1 / 3 4.56–4.56% I254V (n=1), R1010W (n=1), D428N (n=1), E1014K (n=1), R1189H (n=1)
CTNNA2 — by frequency SNV / small indel 19 / 417 4.56% 4.12% 1 / 3 4.56–4.56% D113V (n=1), A797T (n=1), A365V (n=1), R538Q (n=1), T222M (n=1)
ACVR2A — by frequency SNV / small indel 19 / 417 4.56% 3.87% 1 / 3 4.56–4.56% K437Rfs*5 (n=12), V433del (n=1), N43Ifs*31 (n=1), F12Lfs*61 (n=1), Y388C (n=1)
ROBO2 — by frequency SNV / small indel 18 / 417 4.32% 3.87% 1 / 3 4.32–4.32% V1079Sfs*22 (n=2), C293R (n=1), G803R (n=1), S737R (n=1), R673C (n=1)
LAMA2 — by frequency SNV / small indel 18 / 417 4.32% 3.63% 1 / 3 4.32–4.32% E1727* (n=1), R499S (n=1), P3120Qfs*41 (n=1), T186A (n=1), A102T (n=1)
LAMA1 — by frequency SNV / small indel 17 / 417 4.08% 3.63% 1 / 3 4.08–4.08% G2581* (n=1), T590M (n=1), R230H (n=1), G1146V (n=1), Q1812E (n=1)
ARID1B — by frequency SNV / small indel 17 / 417 4.08% 3.87% 3 / 3 2.18–4.08% S2060F (n=1), S1865Y (n=1), X1230_splice (n=1), P2185Rfs*8 (n=1), G160R (n=1)
ROBO3 — by frequency SNV / small indel 16 / 417 3.84% 3.15% 1 / 3 3.84–3.84% R191Pfs*61 (n=2), M501I (n=1), R191Afs*31 (n=1), A1227V (n=1), E1125D (n=1)
BSN — by frequency SNV / small indel 16 / 417 3.84% 3.39% 1 / 3 3.84–3.84% R267Q (n=1), S693_S695del (n=1), S1471F (n=1), R2188H (n=1), T1327Pfs*44 (n=1)
BRCA2 FDA biomarker2014 · 1 drug by frequency SNV / small indel 16 / 417 3.84% 3.15% 3 / 3 0.97–3.84% N1784Tfs*7 (n=2), F3328Ifs*3 (n=1), F3159Ifs*9 (n=1), R2418I (n=1), N1784Kfs*3 (n=1)
ASTN1 — by frequency SNV / small indel 16 / 417 3.84% 3.15% 1 / 3 3.84–3.84% R184C (n=1), G853S (n=1), S69L (n=1), R465Q (n=1), R879W (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
Cholangiocarcinoma (ICGC, Cancer Discov 2017) reference
Cholangiocarcinoma (ICGC, Cancer Discov 2017)
chol_icgc_2017417 observed417 / 489exome or genomeWES (417)hg19SNV, small indel46
Intrahepatic Cholangiocarcinoma (MSK, Hepatology 2021)
Intrahepatic Cholangiocarcinoma (MSK, Hepatology 2021)
ihch_msk_2021412 observed412 / 412targeted panelIMPACT468 (225), IMPACT410 (147), IMPACT341 (40)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)03.0
Cholangiocarcinoma (MSK, Clin Cancer Res 2018)
Cholangiocarcinoma (MSK, Clin Cancer Res 2018)
chol_msk_2018192 observed195 / 195targeted panelIMPACT410 (141), IMPACT341 (54)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)03

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 deletion354128.5%ihch_msk_2021ihch_msk_2021_cna
CDKN2Adeep deletion151927.81%chol_msk_2018chol_msk_2018_cna
ERBB2amplification71923.65%chol_msk_2018chol_msk_2018_cna
GNASamplification51922.6%chol_msk_2018chol_msk_2018_cna
ELF3amplification94122.18%ihch_msk_2021ihch_msk_2021_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)
FGFR21.56–4.37%chol_icgc_2017: 12/417 (2.88%) · ihch_msk_2021: 18/412 (4.37%) · chol_msk_2018: 3/192 (1.56%)
IDH13.84–24.48%chol_icgc_2017: 16/417 (3.84%) · ihch_msk_2021: 85/412 (20.63%) · chol_msk_2018: 47/192 (24.48%)
KRAS9.47–18.23%chol_icgc_2017: 76/417 (18.23%) · ihch_msk_2021: 39/412 (9.47%) · chol_msk_2018: 23/192 (11.98%)
TP5316.99–35.25%chol_icgc_2017: 147/417 (35.25%) · ihch_msk_2021: 70/412 (16.99%) · chol_msk_2018: 44/192 (22.92%)
ERBB21.04–4.08%chol_icgc_2017: 17/417 (4.08%) · ihch_msk_2021: 5/412 (1.21%) · chol_msk_2018: 2/192 (1.04%)
BRAF3.36–6.31%chol_icgc_2017: 14/417 (3.36%) · ihch_msk_2021: 26/412 (6.31%) · chol_msk_2018: 9/192 (4.69%)
BAP19.35–17.48%chol_icgc_2017: 39/417 (9.35%) · ihch_msk_2021: 72/412 (17.48%) · chol_msk_2018: 26/192 (13.54%)
ARID1A18.93–20.83%chol_icgc_2017: 80/417 (19.18%) · ihch_msk_2021: 78/412 (18.93%) · chol_msk_2018: 40/192 (20.83%)
CDKN2A2.08–3.12%chol_icgc_2017: 13/417 (3.12%) · ihch_msk_2021: 9/412 (2.18%) · chol_msk_2018: 4/192 (2.08%)
PBRM16.95–10.44%chol_icgc_2017: 29/417 (6.95%) · ihch_msk_2021: 43/412 (10.44%) · chol_msk_2018: 20/192 (10.42%)
SMAD42.18–14.39%chol_icgc_2017: 60/417 (14.39%) · ihch_msk_2021: 9/412 (2.18%) · chol_msk_2018: 16/192 (8.33%)
CD2740.0–0.0%chol_icgc_2017: 0/417 (0.0%) · ihch_msk_2021: 0/412 (0.0%) · chol_msk_2018: 0/192 (0.0%)
FSIP28.87–8.87%chol_icgc_2017: 37/417 (8.87%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
EPHA28.63–8.63%chol_icgc_2017: 36/417 (8.63%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
APC1.21–7.91%chol_icgc_2017: 33/417 (7.91%) · ihch_msk_2021: 5/412 (1.21%) · chol_msk_2018: 3/192 (1.56%)
KMT2D3.16–7.19%chol_icgc_2017: 30/417 (7.19%) · ihch_msk_2021: 13/412 (3.16%) · chol_msk_2018: 9/192 (4.69%)
KMT2C2.91–6.95%chol_icgc_2017: 29/417 (6.95%) · ihch_msk_2021: 12/412 (2.91%) · chol_msk_2018: 13/192 (6.77%)
ELF32.67–6.95%chol_icgc_2017: 29/417 (6.95%) · ihch_msk_2021: 6/225 (2.67%) · chol_msk_2018: not assayed
ARID22.08–6.0%chol_icgc_2017: 25/417 (6.0%) · ihch_msk_2021: 14/412 (3.4%) · chol_msk_2018: 4/192 (2.08%)
STK110.97–5.52%chol_icgc_2017: 23/417 (5.52%) · ihch_msk_2021: 4/412 (0.97%) · chol_msk_2018: 5/192 (2.6%)
PXDN5.52–5.52%chol_icgc_2017: 23/417 (5.52%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
ATM4.85–7.81%chol_icgc_2017: 23/417 (5.52%) · ihch_msk_2021: 20/412 (4.85%) · chol_msk_2018: 15/192 (7.81%)
RNF431.56–5.28%chol_icgc_2017: 22/417 (5.28%) · ihch_msk_2021: 7/412 (1.7%) · chol_msk_2018: 3/192 (1.56%)
ADAMTS205.28–5.28%chol_icgc_2017: 22/417 (5.28%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
SF3B12.18–5.04%chol_icgc_2017: 21/417 (5.04%) · ihch_msk_2021: 9/412 (2.18%) · chol_msk_2018: 5/192 (2.6%)
RNF2135.04–5.04%chol_icgc_2017: 21/417 (5.04%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
PIK3CA4.13–6.77%chol_icgc_2017: 21/417 (5.04%) · ihch_msk_2021: 17/412 (4.13%) · chol_msk_2018: 13/192 (6.77%)
GNAS0.0–5.04%chol_icgc_2017: 21/417 (5.04%) · ihch_msk_2021: 0/412 (0.0%) · chol_msk_2018: 1/192 (0.52%)
FAT24.8–4.8%chol_icgc_2017: 20/417 (4.8%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
ESX14.8–4.8%chol_icgc_2017: 20/417 (4.8%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
ADGRG44.8–4.8%chol_icgc_2017: 20/417 (4.8%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
ACAN4.8–4.8%chol_icgc_2017: 20/417 (4.8%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
RASA14.13–4.69%chol_icgc_2017: 19/417 (4.56%) · ihch_msk_2021: 17/412 (4.13%) · chol_msk_2018: 9/192 (4.69%)
GLI34.56–4.56%chol_icgc_2017: 19/417 (4.56%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
CTNNA24.56–4.56%chol_icgc_2017: 19/417 (4.56%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
ACVR2A4.56–4.56%chol_icgc_2017: 19/417 (4.56%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
ROBO24.32–4.32%chol_icgc_2017: 18/417 (4.32%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
LAMA24.32–4.32%chol_icgc_2017: 18/417 (4.32%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
LAMA14.08–4.08%chol_icgc_2017: 17/417 (4.08%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
ARID1B2.18–4.08%chol_icgc_2017: 17/417 (4.08%) · ihch_msk_2021: 9/412 (2.18%) · chol_msk_2018: 5/192 (2.6%)
ROBO33.84–3.84%chol_icgc_2017: 16/417 (3.84%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
BSN3.84–3.84%chol_icgc_2017: 16/417 (3.84%) · ihch_msk_2021: not assayed · chol_msk_2018: not assayed
BRCA20.97–3.84%chol_icgc_2017: 16/417 (3.84%) · ihch_msk_2021: 4/412 (0.97%) · chol_msk_2018: 2/192 (1.04%)
ASTN13.84–3.84%chol_icgc_2017: 16/417 (3.84%) · ihch_msk_2021: not assayed · chol_msk_2018: 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/cholangiocarcinoma.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.