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Disease intelligence · mutation landscape

Prostate cancer mutation landscape

How often each gene is altered in prostate 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: prad_tcga_pan_can_atlas_2018 · JSON: /disease/prostate-cancer/mutations.json · Back to the briefing

Answer block

In Prostate Adenocarcinoma (TCGA, PanCancer Atlas) (494 sequenced patients, exome or genome), the most frequently altered of the 48 genes shown are PTEN 17.38% (deep deletion), TMPRSS2 11.86% (deep deletion), TP53 11.54%, SPOP 11.13%, ERG 10.02% (deep deletion). Each figure divides by the patients on whom that gene could be called.

4 of 494 patients are hypermutated (more than 260 non-silent mutations, ten times the cohort median of 26); 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 (AR, FOLH1, CYP17A1, KLK3): 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%.

Alterationprad_tcga_pan_can_atlas_2018
494 pts · exome or genome
prad_p1000
1013 pts · exome or genome
prostate_msk_2024
2257 pts · targeted panel
AR SNV / small indel0.4%2/4944.74%48/10134.12%93/2257
AR amplification1.02%5/48912.54%127/101310.46%236/2257
FOLH1 SNV / small indel0%0.1%1/1013·
FOLH1 deep deletion0.41%2/4892.17%22/10130%
CYP17A1 SNV / small indel0.2%1/4940.2%2/1013·
BRCA2 SNV / small indel1.62%8/4942.86%29/10133.99%90/2257
BRCA2 deep deletion3.48%17/4892.47%25/10132.17%49/2257
ATM SNV / small indel4.05%20/4943.75%38/10134.25%96/2257
PTEN SNV / small indel3.64%18/4944.24%43/10137.98%180/2257
PTEN deep deletion17.38%85/48912.24%124/101311.61%262/2257
TP53 SNV / small indel11.54%57/49418.56%188/101328.71%648/2257
TP53 deep deletion4.29%21/4891.97%20/10132.22%50/2257
RB1 SNV / small indel0.61%3/4941.48%15/10133.23%73/2257
RB1 deep deletion9.41%46/4894.05%41/10133.37%76/2257
TMPRSS2 SNV / small indel0.81%4/4940.89%9/10131.11%25/2257
TMPRSS2 deep deletion11.86%58/4890%1.06%24/2257
ERG SNV / small indel0%0.39%4/10130.71%16/2257
ERG deep deletion10.02%49/4890%0%
SPOP SNV / small indel11.13%55/4949.08%92/101314.09%318/2257
KLK3 SNV / small indel0.81%4/4940.59%6/1013·
KMT2D SNV / small indel5.67%28/4946.42%65/10136.65%150/2257
FOXA1 SNV / small indel5.67%28/4946.81%69/101315.55%351/2257
FOXA1 amplification3.07%15/4893.16%32/10132.39%54/2257
KMT2C SNV / small indel5.06%25/4946.42%65/10136.82%154/2257
CACNA1E SNV / small indel3.04%15/4943.65%37/1013·
MYO15A SNV / small indel2.83%14/4943.36%34/1013·
ZFHX3 SNV / small indel2.63%13/4944.05%41/10136.64%141/2122
ZFHX3 deep deletion5.93%29/4890%2.35%53/2257
DCHS2 SNV / small indel2.43%12/4943.95%40/1013·
NALCN SNV / small indel2.23%11/4941.88%19/1013·
GRIA1 SNV / small indel2.23%11/4941.88%19/1013·
FBN1 SNV / small indel2.23%11/4941.97%20/1013·
CTNNB1 SNV / small indel2.23%11/4942.96%30/10133.94%89/2257
ADGRB3 SNV / small indel2.23%11/4942.37%24/1013·
ADGRB3 deep deletion3.68%18/4892.96%30/10130%
ZMYM3 SNV / small indel2.02%10/4941.68%17/1013·
SALL1 SNV / small indel2.02%10/4941.58%16/1013·
SALL1 deep deletion2.04%10/4890%0%
PIK3CA SNV / small indel2.02%10/4942.86%29/10134.83%109/2257
PIK3CA amplification2.25%11/4894.05%41/10130.18%4/2257
MXRA5 SNV / small indel2.02%10/4941.88%19/1013·
FBN3 SNV / small indel2.02%10/4942.07%21/1013·
EPB41L3 SNV / small indel2.02%10/4941.48%15/1013·
CACNA1A SNV / small indel2.02%10/4941.88%19/1013·
APC SNV / small indel2.02%10/4943.26%33/10137.75%175/2257
APC deep deletion2.45%12/4891.78%18/10131.37%31/2257
STAB2 SNV / small indel1.82%9/4942.17%22/1013·
RNF213 SNV / small indel1.82%9/4942.37%24/1013·
PCDH15 SNV / small indel1.82%9/4942.76%28/1013·
NAV2 SNV / small indel1.82%9/4942.37%24/1013·
MYH8 SNV / small indel1.82%9/4941.48%15/1013·
LAMA3 SNV / small indel1.82%9/4941.97%20/1013·
KDM6A SNV / small indel1.82%9/4942.86%29/10133.59%81/2257
HUWE1 SNV / small indel1.82%9/4941.58%16/1013·
GRM1 SNV / small indel1.82%9/4941.58%16/1013·
GRIN2A SNV / small indel1.82%9/4942.67%27/10133.28%74/2257
GAD2 SNV / small indel1.82%9/4941.38%14/1013·
FCGBP SNV / small indel1.82%9/4942.37%24/1013·
FAT2 SNV / small indel1.82%9/4942.76%28/1013·
COL6A3 SNV / small indel1.82%9/4941.97%20/1013·
CDK12 SNV / small indel1.82%9/4943.16%32/10135.72%129/2257
ADGRL3 SNV / small indel1.82%9/4941.97%20/1013·
ADGRL3 deep deletion0.41%2/4892.07%21/10130%

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

Key findings

PTEN is deleted in 85 of 489 patients in Prostate Adenocarcinoma (TCGA, PanCancer Atlas).
Numerator: 85 · Denominator: 489 · Frequency: 17.38% · Observed in 3 cohorts · Confidence: moderate · Source: prad_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

TMPRSS2 is deleted in 58 of 489 patients in Prostate Adenocarcinoma (TCGA, PanCancer Atlas).
Numerator: 58 · Denominator: 489 · Frequency: 11.86% · Observed in 3 cohorts · Confidence: moderate · Source: prad_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

TP53 is mutated in 57 of 494 patients in Prostate Adenocarcinoma (TCGA, PanCancer Atlas).
Numerator: 57 · Denominator: 494 · Frequency: 11.54% · Observed in 3 cohorts · Confidence: moderate · Source: prad_tcga_pan_can_atlas_2018 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, prad_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
AR curated target amplification 5 / 489 1.02% mutation 0.4% 0.41% 3 / 3 0.4–4.74% A597T (n=1), R608Q (n=1)
FOLH1 curated target deep deletion 2 / 489 0.41% mutation 0.0% 0.0% 1 / 3 0.0–0.1% none recurrent
CYP17A1 curated target deep deletion 6 / 489 1.23% mutation 0.2% 0.0% 2 / 3 0.2–0.2% I104S (n=1)
BRCA2 curated target deep deletion 17 / 489 3.48% mutation 1.62% 1.43% 3 / 3 1.62–3.99% N433Tfs*27 (n=1), N1435T (n=1), V726Sfs*25 (n=1), S3364Ifs*4 (n=1), D281H (n=1)
ATM curated target SNV / small indel 20 / 494 4.05% 4.08% 3 / 3 3.75–4.25% G2695S (n=1), G1672A (n=1), E2164K (n=1), L1936S (n=1), W484* (n=1)
PTEN curated target deep deletion 85 / 489 17.38% mutation 3.64% 3.67% 3 / 3 3.64–7.98% T319Ffs*5 (n=1), V119F (n=1), D326G (n=1), X70_splice (n=1), L220Qfs*3 (n=1)
TP53 curated target SNV / small indel 57 / 494 11.54% 11.22% 3 / 3 11.54–28.71% R248Q (n=4), G245S (n=3), R175H (n=2), R282W (n=2), Y163H (n=2)
RB1 curated target deep deletion 46 / 489 9.41% mutation 0.61% 0.41% 3 / 3 0.61–3.23% F226L (n=1), X405_splice (n=1), G617Rfs*36 (n=1), L337Ffs*4 (n=1)
TMPRSS2 curated target deep deletion 58 / 489 11.86% mutation 0.81% 0.82% 3 / 3 0.81–1.11% E215K (n=1), S116* (n=1), K377Qfs*6 (n=1), N341del (n=1)
ERG curated target deep deletion 49 / 489 10.02% mutation 0.0% 0.0% 2 / 3 0.0–0.71% none recurrent
SPOP curated target SNV / small indel 55 / 494 11.13% 11.02% 3 / 3 9.08–14.09% W131G (n=8), F133L (n=7), F133V (n=6), F133C (n=4), F102V (n=4)
KLK3 curated target SNV / small indel 4 / 494 0.81% 0.82% 2 / 3 0.59–0.81% D102E (n=1), D182A (n=1), V42L (n=1), P129L (n=1)
KMT2D by frequency SNV / small indel 28 / 494 5.67% 5.31% 3 / 3 5.67–6.65% C5109F (n=1), E1167* (n=1), Q3394* (n=1), L2981V (n=1), E731Afs*17 (n=1)
FOXA1 by frequency SNV / small indel 28 / 494 5.67% 5.51% 3 / 3 5.67–15.55% F254_N256delinsY (n=3), E255_N256del (n=1), A423Dfs*17 (n=1), *473Eext*34 (n=1), M253T (n=1)
KMT2C by frequency SNV / small indel 25 / 494 5.06% 4.9% 3 / 3 5.06–6.82% Y4440C (n=2), E3726Kfs*20 (n=1), P3034Lfs*4 (n=1), E3937Kfs*6 (n=1), Q1872* (n=1)
CACNA1E by frequency SNV / small indel 15 / 494 3.04% 2.86% 2 / 3 3.04–3.65% V1976M (n=1), R1396H (n=1), V2162I (n=1), V1231I (n=1), R946C (n=1)
MYO15A by frequency SNV / small indel 14 / 494 2.83% 2.45% 2 / 3 2.83–3.36% R2262C (n=1), S1760Y (n=1), E313K (n=1), R950H (n=1), R192H (n=1)
ZFHX3 by frequency deep deletion 29 / 489 5.93% mutation 2.63% 2.04% 3 / 3 2.63–6.64% F1798Qfs*3 (n=1), R2998Q (n=1), L3355Afs*76 (n=1), G1901Rfs*14 (n=1), A776V (n=1)
DCHS2 by frequency SNV / small indel 12 / 494 2.43% 2.24% 2 / 3 2.43–3.95% F2421L (n=1), T1072I (n=1), R110Q (n=1), V526I (n=1), P1247T (n=1)
NALCN by frequency SNV / small indel 11 / 494 2.23% 1.84% 2 / 3 1.88–2.23% R295C (n=1), A860T (n=1), A277T (n=1), E161Q (n=1), G1013S (n=1)
GRIA1 by frequency SNV / small indel 11 / 494 2.23% 2.04% 2 / 3 1.88–2.23% R455H (n=2), R855W (n=2), K775I (n=1), T657K (n=1), V618I (n=1)
FBN1 by frequency SNV / small indel 11 / 494 2.23% 1.84% 2 / 3 1.97–2.23% C2000F (n=1), Y798C (n=1), L771Tfs*7 (n=1), E1366K (n=1), P1225L (n=1)
CTNNB1 by frequency SNV / small indel 11 / 494 2.23% 2.04% 3 / 3 2.23–3.94% T41A (n=2), D32V (n=1), D32H (n=1), S37A (n=1), D32Y (n=1)
ADGRB3 by frequency deep deletion 18 / 489 3.68% mutation 2.23% 2.24% 2 / 3 2.23–2.37% R588Q (n=1), W351L (n=1), D91N (n=1), S1176L (n=1), M1114L (n=1)
ZMYM3 by frequency SNV / small indel 10 / 494 2.02% 1.63% 2 / 3 1.68–2.02% X260_splice (n=1), Y1130* (n=1), P1296T (n=1), P1296R (n=1), N1154K (n=1)
SALL1 by frequency deep deletion 10 / 489 2.04% mutation 2.02% 1.84% 2 / 3 1.58–2.02% T745M (n=1), I343T (n=1), C717S (n=1), D814N (n=1), L1122P (n=1)
PIK3CA by frequency amplification 11 / 489 2.25% mutation 2.02% 1.84% 3 / 3 2.02–4.83% E542K (n=2), H1047R (n=2), *1069* (n=1), R88Q (n=1), N345K (n=1)
MXRA5 by frequency SNV / small indel 10 / 494 2.02% 1.84% 2 / 3 1.88–2.02% A254S (n=1), I2548Dfs*51 (n=1), T2106R (n=1), R1356H (n=1), R2297C (n=1)
FBN3 by frequency SNV / small indel 10 / 494 2.02% 1.84% 2 / 3 2.02–2.07% R1350C (n=1), C2526W (n=1), N1454K (n=1), R314C (n=1), C582S (n=1)
EPB41L3 by frequency SNV / small indel 10 / 494 2.02% 1.84% 2 / 3 1.48–2.02% I812T (n=1), K148T (n=1), T837M (n=1), R328Q (n=1), R694C (n=1)
CACNA1A by frequency SNV / small indel 10 / 494 2.02% 1.43% 2 / 3 1.88–2.02% T808M (n=1), T542M (n=1), E532K (n=1), V86M (n=1), T1676N (n=1)
APC by frequency deep deletion 12 / 489 2.45% mutation 2.02% 2.04% 3 / 3 2.02–7.75% S1539* (n=1), Q1123* (n=1), T1438Nfs*17 (n=1), R2714H (n=1), A1553V (n=1)
STAB2 by frequency SNV / small indel 9 / 494 1.82% 1.43% 2 / 3 1.82–2.17% Y447C (n=1), H2138Y (n=1), R1940Q (n=1), E463K (n=1), A632T (n=1)
RNF213 by frequency SNV / small indel 9 / 494 1.82% 1.22% 2 / 3 1.82–2.37% L2860Rfs*12 (n=1), Y1967C (n=1), A2849V (n=1), M4673I (n=1), V3581I (n=1)
PCDH15 by frequency SNV / small indel 9 / 494 1.82% 1.63% 2 / 3 1.82–2.76% T1802K (n=1), P1420H (n=1), T301M (n=1), K1365N (n=1), P1631T (n=1)
NAV2 by frequency SNV / small indel 9 / 494 1.82% 1.63% 2 / 3 1.82–2.37% A468G (n=1), E2100G (n=1), A1790S (n=1), P29Q (n=1), K1638E (n=1)
MYH8 by frequency SNV / small indel 9 / 494 1.82% 1.63% 2 / 3 1.48–1.82% Q917H (n=1), V673A (n=1), A426V (n=1), G181R (n=1), Q1856R (n=1)
LAMA3 by frequency SNV / small indel 9 / 494 1.82% 1.43% 2 / 3 1.82–1.97% R2402* (n=1), X2681_splice (n=1), T2980I (n=1), E1508* (n=1), P1658Lfs*91 (n=1)
KDM6A by frequency SNV / small indel 9 / 494 1.82% 1.63% 3 / 3 1.82–3.59% K987R (n=1), M1380Wfs*4 (n=1), X1392_splice (n=1), X1335_splice (n=1), N1117Y (n=1)
HUWE1 by frequency SNV / small indel 9 / 494 1.82% 1.63% 2 / 3 1.58–1.82% R1894H (n=1), M1336V (n=1), R4007S (n=1), A3050V (n=1), R4122H (n=1)
GRM1 by frequency SNV / small indel 9 / 494 1.82% 1.63% 2 / 3 1.58–1.82% R297* (n=2), R379C (n=1), R275H (n=1), R981C (n=1), R684C (n=1)
GRIN2A by frequency SNV / small indel 9 / 494 1.82% 1.63% 3 / 3 1.82–3.28% E1040D (n=1), E1123* (n=1), V109I (n=1), D973Y (n=1), F473I (n=1)
GAD2 by frequency SNV / small indel 9 / 494 1.82% 1.63% 2 / 3 1.38–1.82% K222N (n=1), Y425* (n=1), G41R (n=1), G16D (n=1), N487Kfs*6 (n=1)
FCGBP by frequency SNV / small indel 9 / 494 1.82% 1.63% 2 / 3 1.82–2.37% G976D (n=1), V531I (n=1), N4006S (n=1), R5341C (n=1), R134W (n=1)
FAT2 by frequency SNV / small indel 9 / 494 1.82% 1.63% 2 / 3 1.82–2.76% W4167Gfs*32 (n=1), H1551R (n=1), R308W (n=1), T3931M (n=1), G2251A (n=1)
COL6A3 by frequency SNV / small indel 9 / 494 1.82% 1.63% 2 / 3 1.82–1.97% G1103E (n=1), V1885M (n=1), X2071_splice (n=1), P2232Q (n=1), S521L (n=1)
CDK12 by frequency SNV / small indel 9 / 494 1.82% 1.63% 3 / 3 1.82–5.72% G1461Afs*38 (n=1), G1446E (n=1), R858W (n=1), S343Efs*8 (n=1), Q598* (n=1)
ADGRL3 by frequency SNV / small indel 9 / 494 1.82% 1.63% 2 / 3 1.82–1.97% R826H (n=2), R234W (n=1), W832L (n=1), I409N (n=1), R1139* (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
Prostate Adenocarcinoma (TCGA, PanCancer Atlas) reference
Prostate Adenocarcinoma (TCGA, PanCancer Atlas)
prad_tcga_pan_can_atlas_2018494 observed494 / 494exome or genomeWES (494)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)426.0
Prostate Adenocarcinoma (MSK/DFCI, Nature Genetics 2018)
Prostate Adenocarcinoma (MSK/DFCI, Nature Genetics 2018)
prad_p10001013 observed1013 / 1013exome or genomeWES (1013)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)1830
Prostate Cancer (MSK, Clin Cancer Res 2024)
Prostate Cancer (MSK, Clin Cancer Res 2024)
prostate_msk_20242257 observed2260 / 2260targeted panelIMPACT468 (1477), IMPACT410 (480), IMPACT505 (167), IMPACT341 (136)hg19SNV, small indel, amplification, deep deletion, structural variant (profile present, not read)43.0

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
PTENdeep deletion8548917.38%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
ARamplification127101312.54%prad_p1000prad_p1000_cna
PTENdeep deletion124101312.24%prad_p1000prad_p1000_cna
TMPRSS2deep deletion5848911.86%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
PTENdeep deletion262225711.61%prostate_msk_2024prostate_msk_2024_cna
ARamplification236225710.46%prostate_msk_2024prostate_msk_2024_cna
ERGdeep deletion4948910.02%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
RB1deep deletion464899.41%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
ZFHX3deep deletion294895.93%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
TP53deep deletion214894.29%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
RB1deep deletion4110134.05%prad_p1000prad_p1000_cna
PIK3CAamplification4110134.05%prad_p1000prad_p1000_cna
ADGRB3deep deletion184893.68%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
BRCA2deep deletion174893.48%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
RB1deep deletion7622573.37%prostate_msk_2024prostate_msk_2024_cna
FOXA1amplification3210133.16%prad_p1000prad_p1000_cna
FOXA1amplification154893.07%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
ADGRB3deep deletion3010132.96%prad_p1000prad_p1000_cna
BRCA2deep deletion2510132.47%prad_p1000prad_p1000_cna
APCdeep deletion124892.45%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
FOXA1amplification5422572.39%prostate_msk_2024prostate_msk_2024_cna
ZFHX3deep deletion5322572.35%prostate_msk_2024prostate_msk_2024_cna
PIK3CAamplification114892.25%prad_tcga_pan_can_atlas_2018prad_tcga_pan_can_atlas_2018_gistic
TP53deep deletion5022572.22%prostate_msk_2024prostate_msk_2024_cna
FOLH1deep deletion2210132.17%prad_p1000prad_p1000_cna
BRCA2deep deletion4922572.17%prostate_msk_2024prostate_msk_2024_cna
ADGRL3deep deletion2110132.07%prad_p1000prad_p1000_cna
SALL1deep deletion104892.04%prad_tcga_pan_can_atlas_2018prad_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)
AR0.4–4.74%prad_tcga_pan_can_atlas_2018: 2/494 (0.4%) · prad_p1000: 48/1013 (4.74%) · prostate_msk_2024: 93/2257 (4.12%)
FOLH10.0–0.1%prad_tcga_pan_can_atlas_2018: 0/494 (0.0%) · prad_p1000: 1/1013 (0.1%) · prostate_msk_2024: not assayed
CYP17A10.2–0.2%prad_tcga_pan_can_atlas_2018: 1/494 (0.2%) · prad_p1000: 2/1013 (0.2%) · prostate_msk_2024: not assayed
BRCA21.62–3.99%prad_tcga_pan_can_atlas_2018: 8/494 (1.62%) · prad_p1000: 29/1013 (2.86%) · prostate_msk_2024: 90/2257 (3.99%)
ATM3.75–4.25%prad_tcga_pan_can_atlas_2018: 20/494 (4.05%) · prad_p1000: 38/1013 (3.75%) · prostate_msk_2024: 96/2257 (4.25%)
PTEN3.64–7.98%prad_tcga_pan_can_atlas_2018: 18/494 (3.64%) · prad_p1000: 43/1013 (4.24%) · prostate_msk_2024: 180/2257 (7.98%)
TP5311.54–28.71%prad_tcga_pan_can_atlas_2018: 57/494 (11.54%) · prad_p1000: 188/1013 (18.56%) · prostate_msk_2024: 648/2257 (28.71%)
RB10.61–3.23%prad_tcga_pan_can_atlas_2018: 3/494 (0.61%) · prad_p1000: 15/1013 (1.48%) · prostate_msk_2024: 73/2257 (3.23%)
TMPRSS20.81–1.11%prad_tcga_pan_can_atlas_2018: 4/494 (0.81%) · prad_p1000: 9/1013 (0.89%) · prostate_msk_2024: 25/2257 (1.11%)
ERG0.0–0.71%prad_tcga_pan_can_atlas_2018: 0/494 (0.0%) · prad_p1000: 4/1013 (0.39%) · prostate_msk_2024: 16/2257 (0.71%)
SPOP9.08–14.09%prad_tcga_pan_can_atlas_2018: 55/494 (11.13%) · prad_p1000: 92/1013 (9.08%) · prostate_msk_2024: 318/2257 (14.09%)
KLK30.59–0.81%prad_tcga_pan_can_atlas_2018: 4/494 (0.81%) · prad_p1000: 6/1013 (0.59%) · prostate_msk_2024: not assayed
KMT2D5.67–6.65%prad_tcga_pan_can_atlas_2018: 28/494 (5.67%) · prad_p1000: 65/1013 (6.42%) · prostate_msk_2024: 150/2257 (6.65%)
FOXA15.67–15.55%prad_tcga_pan_can_atlas_2018: 28/494 (5.67%) · prad_p1000: 69/1013 (6.81%) · prostate_msk_2024: 351/2257 (15.55%)
KMT2C5.06–6.82%prad_tcga_pan_can_atlas_2018: 25/494 (5.06%) · prad_p1000: 65/1013 (6.42%) · prostate_msk_2024: 154/2257 (6.82%)
CACNA1E3.04–3.65%prad_tcga_pan_can_atlas_2018: 15/494 (3.04%) · prad_p1000: 37/1013 (3.65%) · prostate_msk_2024: not assayed
MYO15A2.83–3.36%prad_tcga_pan_can_atlas_2018: 14/494 (2.83%) · prad_p1000: 34/1013 (3.36%) · prostate_msk_2024: not assayed
ZFHX32.63–6.64%prad_tcga_pan_can_atlas_2018: 13/494 (2.63%) · prad_p1000: 41/1013 (4.05%) · prostate_msk_2024: 141/2122 (6.64%)
DCHS22.43–3.95%prad_tcga_pan_can_atlas_2018: 12/494 (2.43%) · prad_p1000: 40/1013 (3.95%) · prostate_msk_2024: not assayed
NALCN1.88–2.23%prad_tcga_pan_can_atlas_2018: 11/494 (2.23%) · prad_p1000: 19/1013 (1.88%) · prostate_msk_2024: not assayed
GRIA11.88–2.23%prad_tcga_pan_can_atlas_2018: 11/494 (2.23%) · prad_p1000: 19/1013 (1.88%) · prostate_msk_2024: not assayed
FBN11.97–2.23%prad_tcga_pan_can_atlas_2018: 11/494 (2.23%) · prad_p1000: 20/1013 (1.97%) · prostate_msk_2024: not assayed
CTNNB12.23–3.94%prad_tcga_pan_can_atlas_2018: 11/494 (2.23%) · prad_p1000: 30/1013 (2.96%) · prostate_msk_2024: 89/2257 (3.94%)
ADGRB32.23–2.37%prad_tcga_pan_can_atlas_2018: 11/494 (2.23%) · prad_p1000: 24/1013 (2.37%) · prostate_msk_2024: not assayed
ZMYM31.68–2.02%prad_tcga_pan_can_atlas_2018: 10/494 (2.02%) · prad_p1000: 17/1013 (1.68%) · prostate_msk_2024: not assayed
SALL11.58–2.02%prad_tcga_pan_can_atlas_2018: 10/494 (2.02%) · prad_p1000: 16/1013 (1.58%) · prostate_msk_2024: not assayed
PIK3CA2.02–4.83%prad_tcga_pan_can_atlas_2018: 10/494 (2.02%) · prad_p1000: 29/1013 (2.86%) · prostate_msk_2024: 109/2257 (4.83%)
MXRA51.88–2.02%prad_tcga_pan_can_atlas_2018: 10/494 (2.02%) · prad_p1000: 19/1013 (1.88%) · prostate_msk_2024: not assayed
FBN32.02–2.07%prad_tcga_pan_can_atlas_2018: 10/494 (2.02%) · prad_p1000: 21/1013 (2.07%) · prostate_msk_2024: not assayed
EPB41L31.48–2.02%prad_tcga_pan_can_atlas_2018: 10/494 (2.02%) · prad_p1000: 15/1013 (1.48%) · prostate_msk_2024: not assayed
CACNA1A1.88–2.02%prad_tcga_pan_can_atlas_2018: 10/494 (2.02%) · prad_p1000: 19/1013 (1.88%) · prostate_msk_2024: not assayed
APC2.02–7.75%prad_tcga_pan_can_atlas_2018: 10/494 (2.02%) · prad_p1000: 33/1013 (3.26%) · prostate_msk_2024: 175/2257 (7.75%)
STAB21.82–2.17%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 22/1013 (2.17%) · prostate_msk_2024: not assayed
RNF2131.82–2.37%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 24/1013 (2.37%) · prostate_msk_2024: not assayed
PCDH151.82–2.76%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 28/1013 (2.76%) · prostate_msk_2024: not assayed
NAV21.82–2.37%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 24/1013 (2.37%) · prostate_msk_2024: not assayed
MYH81.48–1.82%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 15/1013 (1.48%) · prostate_msk_2024: not assayed
LAMA31.82–1.97%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 20/1013 (1.97%) · prostate_msk_2024: not assayed
KDM6A1.82–3.59%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 29/1013 (2.86%) · prostate_msk_2024: 81/2257 (3.59%)
HUWE11.58–1.82%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 16/1013 (1.58%) · prostate_msk_2024: not assayed
GRM11.58–1.82%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 16/1013 (1.58%) · prostate_msk_2024: not assayed
GRIN2A1.82–3.28%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 27/1013 (2.67%) · prostate_msk_2024: 74/2257 (3.28%)
GAD21.38–1.82%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 14/1013 (1.38%) · prostate_msk_2024: not assayed
FCGBP1.82–2.37%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 24/1013 (2.37%) · prostate_msk_2024: not assayed
FAT21.82–2.76%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 28/1013 (2.76%) · prostate_msk_2024: not assayed
COL6A31.82–1.97%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 20/1013 (1.97%) · prostate_msk_2024: not assayed
CDK121.82–5.72%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 32/1013 (3.16%) · prostate_msk_2024: 129/2257 (5.72%)
ADGRL31.82–1.97%prad_tcga_pan_can_atlas_2018: 9/494 (1.82%) · prad_p1000: 20/1013 (1.97%) · prostate_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/prostate-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.