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Myeloproliferative neoplasms mutation landscape

How often each gene is altered in myeloproliferative neoplasms, 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: mpn_cimr_2013 · JSON: /disease/myeloproliferative-neoplasms/mutations.json · Back to the briefing

Answer block

In Myeloproliferative Neoplasms (CIMR, NEJM 2013) (151 sequenced patients, exome or genome), the most frequently altered of the 42 genes shown are JAK2 74.17%, CALR 16.56%, TET2 13.91%, ASXL1 7.95%, DNMT3A 7.95%. 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 (SRSF2, IDH2, TP53, SH2B3, NFE2): 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%.

Alterationmpn_cimr_2013
151 pts · exome or genome
JAK2 SNV / small indel74.17%112/151
CALR SNV / small indel16.56%25/151
MPL SNV / small indel4.64%7/151
TET2 SNV / small indel13.91%21/151
ASXL1 SNV / small indel7.95%12/151
EZH2 SNV / small indel2.65%4/151
SRSF2 SNV / small indel1.32%2/151
U2AF1 SNV / small indel2.65%4/151
IDH2 SNV / small indel0.66%1/151
TP53 SNV / small indel1.99%3/151
SH2B3 SNV / small indel0.66%1/151
NFE2 SNV / small indel1.32%2/151
DNMT3A SNV / small indel7.95%12/151
SF3B1 SNV / small indel1.99%3/151
HUWE1 SNV / small indel1.99%3/151
CHEK2 SNV / small indel1.99%3/151
ZBTB33 SNV / small indel1.32%2/151
TG SNV / small indel1.32%2/151
TCF4 SNV / small indel1.32%2/151
SVEP1 SNV / small indel1.32%2/151
SI SNV / small indel1.32%2/151
SEC16A SNV / small indel1.32%2/151
SARDH SNV / small indel1.32%2/151
PRR14L SNV / small indel1.32%2/151
PRKACB SNV / small indel1.32%2/151
PHIP SNV / small indel1.32%2/151
PHF6 SNV / small indel1.32%2/151
KSR2 SNV / small indel1.32%2/151
KIAA1217 SNV / small indel1.32%2/151
KANSL3 SNV / small indel1.32%2/151
IL6ST SNV / small indel1.32%2/151
IDH1 SNV / small indel1.32%2/151
HYDIN2 SNV / small indel1.32%2/151
HECW1 SNV / small indel1.32%2/151
GRIN2B SNV / small indel1.32%2/151
GABRB3 SNV / small indel1.32%2/151
FAT2 SNV / small indel1.32%2/151
FARS2 SNV / small indel1.32%2/151
EZH1 SNV / small indel1.32%2/151
EPHA7 SNV / small indel1.32%2/151
ELAPOR1 SNV / small indel1.32%2/151
DTNA SNV / small indel1.32%2/151

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

Key findings

JAK2 is mutated in 112 of 151 patients in Myeloproliferative Neoplasms (CIMR, NEJM 2013).
Numerator: 112 · Denominator: 151 · Frequency: 74.17% · Observed in 1 cohorts · Confidence: moderate · Source: mpn_cimr_2013 · Retrieved: 2026-09-18

CALR is mutated in 25 of 151 patients in Myeloproliferative Neoplasms (CIMR, NEJM 2013).
Numerator: 25 · Denominator: 151 · Frequency: 16.56% · Observed in 1 cohorts · Confidence: moderate · Source: mpn_cimr_2013 · Retrieved: 2026-09-18

TET2 is mutated in 21 of 151 patients in Myeloproliferative Neoplasms (CIMR, NEJM 2013).
Numerator: 21 · Denominator: 151 · Frequency: 13.91% · Observed in 1 cohorts · Confidence: moderate · Source: mpn_cimr_2013 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, mpn_cimr_2013; 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
JAK2 curated target SNV / small indel 112 / 151 74.17% 1 / 1 74.17–74.17% V617F (n=112), E543_D544del (n=1)
CALR curated target SNV / small indel 25 / 151 16.56% 1 / 1 16.56–16.56% L367Tfs*46 (n=12), K385Nfs*47 (n=11), K368Rfs*51 (n=1), R366Kfs*53 (n=1)
MPL curated target SNV / small indel 7 / 151 4.64% 1 / 1 4.64–4.64% W515L (n=6), R592Q (n=1)
TET2 curated target SNV / small indel 21 / 151 13.91% 1 / 1 13.91–13.91% V218Wfs*32 (n=1), Q1680* (n=1), E1215* (n=1), P1123Hfs*15 (n=1), R1261C (n=1)
ASXL1 curated target SNV / small indel 12 / 151 7.95% 1 / 1 7.95–7.95% Q733* (n=2), E480* (n=1), R715Efs*10 (n=1), Y591* (n=1), A716Vfs*9 (n=1)
EZH2 curated target SNV / small indel 4 / 151 2.65% 1 / 1 2.65–2.65% X677_splice (n=1), W629R (n=1), R288Q (n=1), R690H (n=1)
SRSF2 curated target SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% P95L (n=1), P95H (n=1)
U2AF1 curated target SNV / small indel 4 / 151 2.65% 1 / 1 2.65–2.65% Q157P (n=3), S34Y (n=1)
IDH2 curated target SNV / small indel 1 / 151 0.66% 1 / 1 0.66–0.66% R140Q (n=1)
TP53 curated target SNV / small indel 3 / 151 1.99% 1 / 1 1.99–1.99% R249M (n=1), R273G (n=1), C275Y (n=1)
SH2B3 curated target SNV / small indel 1 / 151 0.66% 1 / 1 0.66–0.66% L458P (n=1)
NFE2 curated target SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% R284C (n=1), L124* (n=1)
DNMT3A by frequency SNV / small indel 12 / 151 7.95% 1 / 1 7.95–7.95% R882H (n=7), S770L (n=1), I705T (n=1), X866_splice (n=1), Y660F (n=1)
SF3B1 by frequency SNV / small indel 3 / 151 1.99% 1 / 1 1.99–1.99% K700E (n=1), G751V (n=1), I704F (n=1)
HUWE1 by frequency SNV / small indel 3 / 151 1.99% 1 / 1 1.99–1.99% K3912R (n=1), E2354* (n=1), F2495S (n=1)
CHEK2 by frequency SNV / small indel 3 / 151 1.99% 1 / 1 1.99–1.99% E188D (n=1), Y327C (n=1), A230T (n=1)
ZBTB33 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% I394* (n=1), I37T (n=1)
TG by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% D324H (n=1), R1792H (n=1)
TCF4 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% E679K (n=1), R682W (n=1)
SVEP1 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% C2264S (n=1), A2868T (n=1)
SI by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% A673S (n=1), L881I (n=1)
SEC16A by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% V1463M (n=1), R1885W (n=1)
SARDH by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% I429T (n=1), R227* (n=1)
PRR14L by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% Q232Kfs*3 (n=1), S1092Pfs*37 (n=1)
PRKACB by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% W244S (n=1), W244G (n=1)
PHIP by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% G536* (n=1), W1226* (n=1)
PHF6 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% T289N (n=1), E340K (n=1)
KSR2 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% P595L (n=1), N83S (n=1)
KIAA1217 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% E1129del (n=1), R664Q (n=1)
KANSL3 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% R154Lfs*8 (n=1), N427Y (n=1)
IL6ST by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% S580A (n=1), I74L (n=1)
IDH1 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% T325M (n=1), R132H (n=1)
HYDIN2 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% F574I (n=1), A3518V (n=1)
HECW1 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% R884W (n=1), V1474M (n=1)
GRIN2B by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% G1169R (n=1), R27H (n=1)
GABRB3 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% A226T (n=1), R238W (n=1)
FAT2 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% R2146Q (n=1), R3295Q (n=1)
FARS2 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% M251K (n=1), T407M (n=1)
EZH1 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% V158D (n=1), S226R (n=1)
EPHA7 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% A816V (n=1), T793I (n=1)
ELAPOR1 by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% P857Rfs*8 (n=1), D164N (n=1)
DTNA by frequency SNV / small indel 2 / 151 1.32% 1 / 1 1.32–1.32% F89L (n=1), T74I (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
Myeloproliferative Neoplasms (CIMR, NEJM 2013) reference
Myeloproliferative Neoplasms (CIMR, NEJM 2013)
mpn_cimr_2013151 observed151 / 151exome or genomeWES (151)hg19SNV, small indel06

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)
JAK274.17–74.17%mpn_cimr_2013: 112/151 (74.17%)
CALR16.56–16.56%mpn_cimr_2013: 25/151 (16.56%)
MPL4.64–4.64%mpn_cimr_2013: 7/151 (4.64%)
TET213.91–13.91%mpn_cimr_2013: 21/151 (13.91%)
ASXL17.95–7.95%mpn_cimr_2013: 12/151 (7.95%)
EZH22.65–2.65%mpn_cimr_2013: 4/151 (2.65%)
SRSF21.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
U2AF12.65–2.65%mpn_cimr_2013: 4/151 (2.65%)
IDH20.66–0.66%mpn_cimr_2013: 1/151 (0.66%)
TP531.99–1.99%mpn_cimr_2013: 3/151 (1.99%)
SH2B30.66–0.66%mpn_cimr_2013: 1/151 (0.66%)
NFE21.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
DNMT3A7.95–7.95%mpn_cimr_2013: 12/151 (7.95%)
SF3B11.99–1.99%mpn_cimr_2013: 3/151 (1.99%)
HUWE11.99–1.99%mpn_cimr_2013: 3/151 (1.99%)
CHEK21.99–1.99%mpn_cimr_2013: 3/151 (1.99%)
ZBTB331.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
TG1.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
TCF41.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
SVEP11.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
SI1.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
SEC16A1.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
SARDH1.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
PRR14L1.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
PRKACB1.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
PHIP1.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
PHF61.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
KSR21.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
KIAA12171.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
KANSL31.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
IL6ST1.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
IDH11.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
HYDIN21.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
HECW11.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
GRIN2B1.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
GABRB31.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
FAT21.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
FARS21.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
EZH11.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
EPHA71.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
ELAPOR11.32–1.32%mpn_cimr_2013: 2/151 (1.32%)
DTNA1.32–1.32%mpn_cimr_2013: 2/151 (1.32%)

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/myeloproliferative-neoplasms.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.