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Vulvar cancer mutation landscape

How often each gene is altered in vulvar 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: vsc_cuk_2018 · JSON: /disease/vulvar-cancer/mutations.json · Back to the briefing

Answer block

In Squamous Cell Carcinoma of the Vulva (CUK, Exp Mol Med 2018) (15 sequenced patients, exome or genome), the most frequently altered of the 50 genes shown are MAML2 40.0%, TP53 33.33%, SPTBN1 33.33%, ODF1 33.33%, NRG3 26.67%. Each figure divides by the patients on whom that gene could be called.

Of the briefing's 12 curated targets, 5 are altered in under 2% of this cohort (CD274, PDCD1, TERT, KMT2D, PTEN): targets by expression, dependency or drug label, not by mutation. Frequency is not targetability, in either direction.

1 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%.

Alterationvsc_cuk_2018
15 pts · exome or genome
TP53 SNV / small indel33.33%5/15
CDKN2A SNV / small indel6.67%1/15
PIK3CA SNV / small indel13.33%2/15
HRAS SNV / small indel6.67%1/15
NOTCH1 SNV / small indel13.33%2/15
EGFR SNV / small indel6.67%1/15
CD274 SNV / small indel0%
PDCD1 SNV / small indel0%
TERT SNV / small indel0%
FAT1 SNV / small indel20.0%3/15
KMT2D SNV / small indel0%
PTEN SNV / small indel0%
MAML2 SNV / small indel40.0%6/15
SPTBN1 SNV / small indel33.33%5/15
ODF1 SNV / small indel33.33%5/15
NRG3 SNV / small indel26.67%4/15
FAT2 SNV / small indel26.67%4/15
ZFHX3 SNV / small indel20.0%3/15
ZBTB41 SNV / small indel20.0%3/15
SLC12A3 SNV / small indel20.0%3/15
SHROOM3 SNV / small indel20.0%3/15
SCAF4 SNV / small indel20.0%3/15
PARD3B SNV / small indel20.0%3/15
NRG1 SNV / small indel20.0%3/15
NLGN3 SNV / small indel20.0%3/15
MDN1 SNV / small indel20.0%3/15
MAML3 SNV / small indel20.0%3/15
LAMA5 SNV / small indel20.0%3/15
KMT2C SNV / small indel20.0%3/15
KMT2B SNV / small indel20.0%3/15
FAM193A SNV / small indel20.0%3/15
F5 SNV / small indel20.0%3/15
DCHS1 SNV / small indel20.0%3/15
CREBBP SNV / small indel20.0%3/15
CASP8 SNV / small indel20.0%3/15
CACNA1B SNV / small indel20.0%3/15
APC SNV / small indel20.0%3/15
ANP32E SNV / small indel20.0%3/15
AMOTL2 SNV / small indel20.0%3/15
ALMS1 SNV / small indel20.0%3/15
ZFR SNV / small indel13.33%2/15
ZFPM2 SNV / small indel13.33%2/15
ZCWPW1 SNV / small indel13.33%2/15
ZC3H18 SNV / small indel13.33%2/15
WRAP53 SNV / small indel13.33%2/15
WDR87 SNV / small indel13.33%2/15
WDHD1 SNV / small indel13.33%2/15
WDFY4 SNV / small indel13.33%2/15
VPS13A SNV / small indel13.33%2/15
VGLL1 SNV / small indel13.33%2/15

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

Key findings

MAML2 is mutated in 6 of 15 patients in Squamous Cell Carcinoma of the Vulva (CUK, Exp Mol Med 2018).
Numerator: 6 · Denominator: 15 · Frequency: 40.0% · Observed in 1 cohorts · Confidence: moderate · Source: vsc_cuk_2018 · Retrieved: 2026-09-18

TP53 is mutated in 5 of 15 patients in Squamous Cell Carcinoma of the Vulva (CUK, Exp Mol Med 2018).
Numerator: 5 · Denominator: 15 · Frequency: 33.33% · Observed in 1 cohorts · Confidence: moderate · Source: vsc_cuk_2018 · Retrieved: 2026-09-18

SPTBN1 is mutated in 5 of 15 patients in Squamous Cell Carcinoma of the Vulva (CUK, Exp Mol Med 2018).
Numerator: 5 · Denominator: 15 · Frequency: 33.33% · Observed in 1 cohorts · Confidence: moderate · Source: vsc_cuk_2018 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, vsc_cuk_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 5 / 15 33.33% 1 / 1 33.33–33.33% R248W (n=2), R248P (n=1), L257R (n=1), S241Y (n=1), C229Yfs*10 (n=1)
CDKN2A curated target SNV / small indel 1 / 15 6.67% 1 / 1 6.67–6.67% D84Y (n=1)
PIK3CA curated target SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% E545K (n=2)
HRAS curated target SNV / small indel 1 / 15 6.67% 1 / 1 6.67–6.67% G12S (n=1)
NOTCH1 curated target SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% R365C (n=1), F249C (n=1), V413del (n=1), F249L (n=1), T250P (n=1)
EGFR curated target SNV / small indel 1 / 15 6.67% 1 / 1 6.67–6.67% P596L (n=1)
CD274 curated target SNV / small indel 0 / 15 0.0% 0 / 1 0.0–0.0% none recurrent
PDCD1 curated target SNV / small indel 0 / 15 0.0% 0 / 1 0.0–0.0% none recurrent
TERT curated target SNV / small indel 0 / 15 0.0% 0 / 1 0.0–0.0% none recurrent
FAT1 curated target SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% Q1455* (n=1), S3268* (n=1), W4175* (n=1), D3749N (n=1)
KMT2D curated target SNV / small indel 0 / 15 0.0% 0 / 1 0.0–0.0% none recurrent
PTEN curated target SNV / small indel 0 / 15 0.0% 0 / 1 0.0–0.0% none recurrent
MAML2 by frequency SNV / small indel 6 / 15 40.0% 1 / 1 40.0–40.0% Q619_Q621del (n=4), Q621del (n=2)
SPTBN1 by frequency SNV / small indel 5 / 15 33.33% 1 / 1 33.33–33.33% E1060K (n=1), K1998N (n=1), E2263K (n=1), D2292N (n=1), R498H (n=1)
ODF1 by frequency SNV / small indel 5 / 15 33.33% 1 / 1 33.33–33.33% N219_C227del (n=4), N225S (n=1)
NRG3 by frequency SNV / small indel 4 / 15 26.67% 1 / 1 26.67–26.67% S241F (n=2), G450S (n=1), S340L (n=1)
FAT2 by frequency SNV / small indel 4 / 15 26.67% 1 / 1 26.67–26.67% Q2134* (n=2), S1653L (n=2), H709D (n=1), G1515S (n=1)
ZFHX3 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% Y142N (n=2), G1989S (n=1)
ZBTB41 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% R874* (n=2), V131I (n=1)
SLC12A3 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% A224S (n=2), V578M (n=1)
SHROOM3 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% E1502K (n=1), R1008C (n=1), P469A (n=1)
SCAF4 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% H869Y (n=2), P61L (n=1)
PARD3B by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% E799K (n=2), G924R (n=1)
NRG1 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% E537G (n=2), A105dup (n=1)
NLGN3 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% E760K (n=1), E270* (n=1), R155W (n=1)
MDN1 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% S2023* (n=1), S1576C (n=1), N5251K (n=1)
MAML3 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% Q510dup (n=3)
LAMA5 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% R2283L (n=1), A1016T (n=1), R1851W (n=1)
KMT2C by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% E3440D (n=1), R284Q (n=1), R3423T (n=1), T2365I (n=1)
KMT2B by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% R142* (n=1), Q812* (n=1), Y1758C (n=1), I1737F (n=1)
FAM193A by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% E926K (n=1), M990I (n=1), E1042Q (n=1), S965F (n=1), S351N (n=1)
F5 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% R740Q (n=2), N1103D (n=1)
DCHS1 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% R2889W (n=1), L2802V (n=1), H3004Y (n=1), E206Q (n=1)
CREBBP by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% Q2405H (n=1), M806I (n=1), D1665N (n=1)
CASP8 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% Q398* (n=1), V469Ffs*28 (n=1), S268L (n=1)
CACNA1B by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% T996_E1000del (n=2), T996A (n=1)
APC by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% R106H (n=1), K2814N (n=1), S2842C (n=1)
ANP32E by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% E193D (n=3)
AMOTL2 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% M566T (n=2), R725K (n=1)
ALMS1 by frequency SNV / small indel 3 / 15 20.0% 1 / 1 20.0–20.0% D1272N (n=2), S3007C (n=1)
ZFR by frequency SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% R717C (n=1), R873Q (n=1)
ZFPM2 by frequency SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% C788R (n=1), G995S (n=1)
ZCWPW1 by frequency SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% E459* (n=1), W426C (n=1), E65G (n=1)
ZC3H18 by frequency SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% R436Q (n=1), R354Q (n=1)
WRAP53 by frequency SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% A246T (n=1), E534K (n=1)
WDR87 by frequency SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% Q1156E (n=1), L2090P (n=1)
WDHD1 by frequency SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% Q231* (n=2)
WDFY4 by frequency SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% S612L (n=1), K2219R (n=1)
VPS13A by frequency SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% E1074K (n=1), R254C (n=1)
VGLL1 by frequency SNV / small indel 2 / 15 13.33% 1 / 1 13.33–13.33% T21M (n=2)

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
Squamous Cell Carcinoma of the Vulva (CUK, Exp Mol Med 2018) reference
Squamous Cell Carcinoma of the Vulva (CUK, Exp Mol Med 2018)
vsc_cuk_201815 observed15 / 15exome or genomeWES (15)hg19SNV, small indel0129

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
No copy-number profile reached 2% for any listed gene, or no cohort carries one.

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)
TP5333.33–33.33%vsc_cuk_2018: 5/15 (33.33%)
CDKN2A6.67–6.67%vsc_cuk_2018: 1/15 (6.67%)
PIK3CA13.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
HRAS6.67–6.67%vsc_cuk_2018: 1/15 (6.67%)
NOTCH113.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
EGFR6.67–6.67%vsc_cuk_2018: 1/15 (6.67%)
CD2740.0–0.0%vsc_cuk_2018: 0/15 (0.0%)
PDCD10.0–0.0%vsc_cuk_2018: 0/15 (0.0%)
TERT0.0–0.0%vsc_cuk_2018: 0/15 (0.0%)
FAT120.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
KMT2D0.0–0.0%vsc_cuk_2018: 0/15 (0.0%)
PTEN0.0–0.0%vsc_cuk_2018: 0/15 (0.0%)
MAML240.0–40.0%vsc_cuk_2018: 6/15 (40.0%)
SPTBN133.33–33.33%vsc_cuk_2018: 5/15 (33.33%)
ODF133.33–33.33%vsc_cuk_2018: 5/15 (33.33%)
NRG326.67–26.67%vsc_cuk_2018: 4/15 (26.67%)
FAT226.67–26.67%vsc_cuk_2018: 4/15 (26.67%)
ZFHX320.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
ZBTB4120.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
SLC12A320.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
SHROOM320.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
SCAF420.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
PARD3B20.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
NRG120.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
NLGN320.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
MDN120.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
MAML320.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
LAMA520.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
KMT2C20.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
KMT2B20.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
FAM193A20.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
F520.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
DCHS120.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
CREBBP20.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
CASP820.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
CACNA1B20.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
APC20.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
ANP32E20.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
AMOTL220.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
ALMS120.0–20.0%vsc_cuk_2018: 3/15 (20.0%)
ZFR13.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
ZFPM213.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
ZCWPW113.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
ZC3H1813.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
WRAP5313.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
WDR8713.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
WDHD113.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
WDFY413.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
VPS13A13.33–13.33%vsc_cuk_2018: 2/15 (13.33%)
VGLL113.33–13.33%vsc_cuk_2018: 2/15 (13.33%)

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/vulvar-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.