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Acute lymphoblastic leukemia mutation landscape

How often each gene is altered in acute lymphoblastic leukemia, 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: all_phase2_target_2018_pub · JSON: /disease/acute-lymphoblastic-leukemia/mutations.json · Back to the briefing

Answer block

In Pediatric Acute Lymphoid Leukemia - Phase II (TARGET, 2018) (137 sequenced patients, exome or genome), the most frequently altered of the 49 genes shown are CDKN2A 39.74% (deep deletion), IKZF1 14.08% (deep deletion), PAX5 12.76% (deep deletion), NRAS 11.68%, ETV6 11.58% (deep deletion). Each figure divides by the patients on whom that gene could be called.

Of the briefing's 12 curated targets, 6 are altered in under 2% of this cohort (CD19, CD22, ABL1, NOTCH1, KMT2A, CRLF2): targets by expression, dependency or drug label, not by mutation. Frequency is not targetability, in either direction.

2 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%.

Alterationall_phase2_target_2018_pub
137 pts · exome or genome
all_stjude_2015
85 pts · exome or genome
CD19 SNV / small indel0%0%
CD22 SNV / small indel0%0%
ABL1 SNV / small indel0%0%
IKZF1 SNV / small indel0%0%
IKZF1 deep deletion14.08%96/682·
CDKN2A SNV / small indel0.73%1/1370%
CDKN2A deep deletion39.74%271/682·
NOTCH1 SNV / small indel0%0%
KMT2A SNV / small indel0%0%
ETV6 SNV / small indel0%0%
ETV6 deep deletion11.58%79/682·
PAX5 SNV / small indel1.46%2/1373.53%3/85
PAX5 deep deletion12.76%87/682·
CRLF2 SNV / small indel0%0%
JAK2 SNV / small indel3.65%5/1370%
TP53 SNV / small indel4.38%6/1372.35%2/85
NRAS SNV / small indel11.68%16/1379.41%8/85
KRAS SNV / small indel5.84%8/13712.94%11/85
KRAS deep deletion2.05%14/682·
PTPN11 SNV / small indel4.38%6/1370%
CREBBP SNV / small indel4.38%6/1371.18%1/85
NSD2 SNV / small indel3.65%5/1371.18%1/85
NSD2 deep deletion2.35%16/682·
FLT3 SNV / small indel3.65%5/1375.88%5/85
NOTCH2 SNV / small indel2.92%4/1370%
CDK11A SNV / small indel2.92%4/1370%
CDK11A deep deletion2.05%14/682·
TAS2R19 SNV / small indel2.19%3/1370%
TAS2R19 deep deletion4.69%32/682·
QRICH2 SNV / small indel2.19%3/1370%
OVGP1 SNV / small indel2.19%3/1370%
KMT2D SNV / small indel2.19%3/1370%
HLA-C SNV / small indel2.19%3/1370%
UBR4 SNV / small indel1.46%2/1370%
TBL3 SNV / small indel1.46%2/1370%
TAS2R31 SNV / small indel1.46%2/1370%
TAS2R31 deep deletion4.69%32/682·
SYNJ1 SNV / small indel1.46%2/1370%
SYNJ1 amplification2.05%14/682·
SUPT6H SNV / small indel1.46%2/1370%
SLX9 SNV / small indel1.46%2/1370%
SLX9 amplification2.05%14/682·
SLC1A5 SNV / small indel1.46%2/1370%
SETD2 SNV / small indel1.46%2/1370%
SETD2 deep deletion2.49%17/682·
RBM19 SNV / small indel1.46%2/1370%
PHF6 SNV / small indel1.46%2/1370%
PCNT SNV / small indel1.46%2/1370%
PCDHB4 SNV / small indel1.46%2/1370%
NUDCD1 SNV / small indel1.46%2/1370%
MRPL9 SNV / small indel1.46%2/1370%
MDGA2 SNV / small indel1.46%2/1370%
JAK1 SNV / small indel1.46%2/1370%
HSD17B4 SNV / small indel1.46%2/1370%
HLA-DRB1 SNV / small indel1.46%2/1370%
HLA-DRB1 amplification5.43%37/682·
HLA-DRB1 deep deletion8.36%57/682·
HDHD5 SNV / small indel1.46%2/1370%
GNB1 SNV / small indel1.46%2/1370%
GCNA SNV / small indel1.46%2/1370%
FURIN SNV / small indel1.46%2/1370%
FHL3 SNV / small indel1.46%2/1370%
FCGBP SNV / small indel1.46%2/1370%

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

Key findings

CDKN2A is deleted in 271 of 682 patients in Pediatric Acute Lymphoid Leukemia - Phase II (TARGET, 2018).
Numerator: 271 · Denominator: 682 · Frequency: 39.74% · Observed in 1 cohorts · Confidence: moderate · Source: all_phase2_target_2018_pub · Retrieved: 2026-09-18

IKZF1 is deleted in 96 of 682 patients in Pediatric Acute Lymphoid Leukemia - Phase II (TARGET, 2018).
Numerator: 96 · Denominator: 682 · Frequency: 14.08% · Observed in 0 cohorts · Confidence: moderate · Source: all_phase2_target_2018_pub · Retrieved: 2026-09-18

PAX5 is deleted in 87 of 682 patients in Pediatric Acute Lymphoid Leukemia - Phase II (TARGET, 2018).
Numerator: 87 · Denominator: 682 · Frequency: 12.76% · Observed in 2 cohorts · Confidence: moderate · Source: all_phase2_target_2018_pub · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, all_phase2_target_2018_pub; 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
CD19 curated target amplification 1 / 682 0.15% mutation 0.0% 0 / 2 0.0–0.0% none recurrent
CD22 curated target deep deletion 5 / 682 0.73% mutation 0.0% 0 / 2 0.0–0.0% none recurrent
ABL1 curated target deep deletion 7 / 682 1.03% mutation 0.0% 0 / 2 0.0–0.0% none recurrent
IKZF1 curated target deep deletion 96 / 682 14.08% mutation 0.0% 0 / 2 0.0–0.0% none recurrent
CDKN2A curated target deep deletion 271 / 682 39.74% mutation 0.73% 1 / 2 0.0–0.73% X51_splice (n=1)
NOTCH1 curated target amplification 12 / 682 1.76% mutation 0.0% 0 / 2 0.0–0.0% none recurrent
KMT2A curated target SNV / small indel 0 / 137 0.0% 0 / 2 0.0–0.0% none recurrent
ETV6 curated target deep deletion 79 / 682 11.58% mutation 0.0% 0 / 2 0.0–0.0% none recurrent
PAX5 curated target deep deletion 87 / 682 12.76% mutation 1.46% 2 / 2 1.46–3.53% V26G (n=1), I41T (n=1)
CRLF2 curated target SNV / small indel 0 / 137 0.0% 0 / 2 0.0–0.0% none recurrent
JAK2 curated target SNV / small indel 5 / 137 3.65% 1 / 2 0.0–3.65% R683S (n=3), D873N (n=2), R683G (n=1)
TP53 curated target SNV / small indel 6 / 137 4.38% 2 / 2 2.35–4.38% R248Q (n=2), G245S (n=1), R158C (n=1), C176Y (n=1), R273P (n=1)
NRAS by frequency SNV / small indel 16 / 137 11.68% 2 / 2 9.41–11.68% G12D (n=6), G12A (n=4), G13D (n=2), Q61P (n=1), G12S (n=1)
KRAS by frequency SNV / small indel 8 / 137 5.84% 2 / 2 5.84–12.94% G12D (n=4), G13D (n=2), G12S (n=1), G12V (n=1)
PTPN11 by frequency SNV / small indel 6 / 137 4.38% 1 / 2 0.0–4.38% G60V (n=1), A72T (n=1), E69K (n=1), S502P (n=1), D61N (n=1)
CREBBP by frequency SNV / small indel 6 / 137 4.38% 2 / 2 1.18–4.38% R1446C (n=3), R1446H (n=1), P1494A (n=1), R1360* (n=1)
NSD2 by frequency SNV / small indel 5 / 137 3.65% 2 / 2 1.18–3.65% E1099K (n=5)
FLT3 by frequency SNV / small indel 5 / 137 3.65% 2 / 2 3.65–5.88% Q580P (n=1), D835V (n=1), L576P (n=1), M837T (n=1), Y842C (n=1)
NOTCH2 by frequency SNV / small indel 4 / 137 2.92% 1 / 2 0.0–2.92% A21T (n=4)
CDK11A by frequency SNV / small indel 4 / 137 2.92% 1 / 2 0.0–2.92% H112R (n=2), V97A (n=2), C109R (n=1)
TAS2R19 by frequency deep deletion 32 / 682 4.69% mutation 2.19% 1 / 2 0.0–2.19% F290S (n=2), G282R (n=2)
QRICH2 by frequency SNV / small indel 3 / 137 2.19% 1 / 2 0.0–2.19% I630_G639del (n=1), G724V (n=1), W456R (n=1)
OVGP1 by frequency SNV / small indel 3 / 137 2.19% 1 / 2 0.0–2.19% S511P (n=3), Y514H (n=1)
KMT2D by frequency SNV / small indel 3 / 137 2.19% 1 / 2 0.0–2.19% K287Dfs*2 (n=1), R5432W (n=1), Q170Afs*49 (n=1)
HLA-C by frequency SNV / small indel 3 / 137 2.19% 1 / 2 0.0–2.19% R121W (n=3)
UBR4 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% S1622* (n=1), S4117P (n=1)
TBL3 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% E294Q (n=2)
TAS2R31 by frequency deep deletion 32 / 682 4.69% mutation 1.46% 1 / 2 0.0–1.46% L98P (n=2)
SYNJ1 by frequency amplification 14 / 682 2.05% mutation 1.46% 1 / 2 0.0–1.46% T1589S (n=1), P1444S (n=1)
SUPT6H by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% E1112K (n=1), E171K (n=1)
SLX9 by frequency amplification 14 / 682 2.05% mutation 1.46% 1 / 2 0.0–1.46% V212L (n=2)
SLC1A5 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% P17A (n=2)
SETD2 by frequency deep deletion 17 / 682 2.49% mutation 1.46% 1 / 2 0.0–1.46% R1598* (n=1), A1851Vfs*15 (n=1)
RBM19 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% K259R (n=1), H609R (n=1)
PHF6 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% R274* (n=1), R225* (n=1)
PCNT by frequency deep deletion 12 / 682 1.76% mutation 1.46% 1 / 2 0.0–1.46% H156R (n=1), R143H (n=1)
PCDHB4 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% R410* (n=1), H178Q (n=1)
NUDCD1 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% I269V (n=1), L252F (n=1)
MRPL9 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% E210A (n=2)
MDGA2 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% R355W (n=1), R149H (n=1)
JAK1 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% V658F (n=1), Q572L (n=1)
HSD17B4 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% I584V (n=1), W536R (n=1)
HLA-DRB1 by frequency deep deletion 57 / 682 8.36% mutation 1.46% 1 / 2 0.0–1.46% S66Y (n=2)
HDHD5 by frequency amplification 10 / 682 1.47% mutation 1.46% 1 / 2 0.0–1.46% R188C (n=1), R33C (n=1)
GNB1 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% A92D (n=1), D76G (n=1)
GCNA by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% S285P (n=2)
FURIN by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% S287Y (n=1), V548A (n=1)
FHL3 by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% Y27H (n=1), A96V (n=1)
FCGBP by frequency SNV / small indel 2 / 137 1.46% 1 / 2 0.0–1.46% T678S (n=1), D4873N (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
Pediatric Acute Lymphoid Leukemia - Phase II (TARGET, 2018) reference
Pediatric Acute Lymphoid Leukemia - Phase II (TARGET, 2018)
all_phase2_target_2018_pub137 observed150 / 1978exome or genomeWES (150)hg19SNV, small indel, amplification, deep deletion03.5
Acute Lymphoblastic Leukemia (St Jude, Nat Genet 2015)
Acute Lymphoblastic Leukemia (St Jude, Nat Genet 2015)
all_stjude_201585 observed93 / 93exome or genomeWES (93)hg19SNV, small indel, structural variant (profile present, not read)00

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 deletion27168239.74%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
IKZF1deep deletion9668214.08%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
PAX5deep deletion8768212.76%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
ETV6deep deletion7968211.58%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
HLA-DRB1deep deletion576828.36%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
HLA-DRB1amplification376825.43%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
TAS2R19deep deletion326824.69%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
TAS2R31deep deletion326824.69%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
SETD2deep deletion176822.49%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
NSD2deep deletion166822.35%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
KRASdeep deletion146822.05%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
CDK11Adeep deletion146822.05%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
SYNJ1amplification146822.05%all_phase2_target_2018_puball_phase2_target_2018_pub_cna
SLX9amplification146822.05%all_phase2_target_2018_puball_phase2_target_2018_pub_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)
CD190.0–0.0%all_phase2_target_2018_pub: 0/137 (0.0%) · all_stjude_2015: 0/85 (0.0%)
CD220.0–0.0%all_phase2_target_2018_pub: 0/137 (0.0%) · all_stjude_2015: 0/85 (0.0%)
ABL10.0–0.0%all_phase2_target_2018_pub: 0/137 (0.0%) · all_stjude_2015: 0/85 (0.0%)
IKZF10.0–0.0%all_phase2_target_2018_pub: 0/137 (0.0%) · all_stjude_2015: 0/85 (0.0%)
CDKN2A0.0–0.73%all_phase2_target_2018_pub: 1/137 (0.73%) · all_stjude_2015: 0/85 (0.0%)
NOTCH10.0–0.0%all_phase2_target_2018_pub: 0/137 (0.0%) · all_stjude_2015: 0/85 (0.0%)
KMT2A0.0–0.0%all_phase2_target_2018_pub: 0/137 (0.0%) · all_stjude_2015: 0/85 (0.0%)
ETV60.0–0.0%all_phase2_target_2018_pub: 0/137 (0.0%) · all_stjude_2015: 0/85 (0.0%)
PAX51.46–3.53%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 3/85 (3.53%)
CRLF20.0–0.0%all_phase2_target_2018_pub: 0/137 (0.0%) · all_stjude_2015: 0/85 (0.0%)
JAK20.0–3.65%all_phase2_target_2018_pub: 5/137 (3.65%) · all_stjude_2015: 0/85 (0.0%)
TP532.35–4.38%all_phase2_target_2018_pub: 6/137 (4.38%) · all_stjude_2015: 2/85 (2.35%)
NRAS9.41–11.68%all_phase2_target_2018_pub: 16/137 (11.68%) · all_stjude_2015: 8/85 (9.41%)
KRAS5.84–12.94%all_phase2_target_2018_pub: 8/137 (5.84%) · all_stjude_2015: 11/85 (12.94%)
PTPN110.0–4.38%all_phase2_target_2018_pub: 6/137 (4.38%) · all_stjude_2015: 0/85 (0.0%)
CREBBP1.18–4.38%all_phase2_target_2018_pub: 6/137 (4.38%) · all_stjude_2015: 1/85 (1.18%)
NSD21.18–3.65%all_phase2_target_2018_pub: 5/137 (3.65%) · all_stjude_2015: 1/85 (1.18%)
FLT33.65–5.88%all_phase2_target_2018_pub: 5/137 (3.65%) · all_stjude_2015: 5/85 (5.88%)
NOTCH20.0–2.92%all_phase2_target_2018_pub: 4/137 (2.92%) · all_stjude_2015: 0/85 (0.0%)
CDK11A0.0–2.92%all_phase2_target_2018_pub: 4/137 (2.92%) · all_stjude_2015: 0/85 (0.0%)
TAS2R190.0–2.19%all_phase2_target_2018_pub: 3/137 (2.19%) · all_stjude_2015: 0/85 (0.0%)
QRICH20.0–2.19%all_phase2_target_2018_pub: 3/137 (2.19%) · all_stjude_2015: 0/85 (0.0%)
OVGP10.0–2.19%all_phase2_target_2018_pub: 3/137 (2.19%) · all_stjude_2015: 0/85 (0.0%)
KMT2D0.0–2.19%all_phase2_target_2018_pub: 3/137 (2.19%) · all_stjude_2015: 0/85 (0.0%)
HLA-C0.0–2.19%all_phase2_target_2018_pub: 3/137 (2.19%) · all_stjude_2015: 0/85 (0.0%)
UBR40.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
TBL30.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
TAS2R310.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
SYNJ10.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
SUPT6H0.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
SLX90.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
SLC1A50.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
SETD20.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
RBM190.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
PHF60.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
PCNT0.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
PCDHB40.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
NUDCD10.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
MRPL90.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
MDGA20.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
JAK10.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
HSD17B40.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
HLA-DRB10.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
HDHD50.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
GNB10.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
GCNA0.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
FURIN0.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
FHL30.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)
FCGBP0.0–1.46%all_phase2_target_2018_pub: 2/137 (1.46%) · all_stjude_2015: 0/85 (0.0%)

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/acute-lymphoblastic-leukemia.json.

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