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Diffuse large B-cell lymphoma mutation landscape

How often each gene is altered in diffuse large b-cell lymphoma, 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: dlbcl_duke_2017 · JSON: /disease/diffuse-large-b-cell-lymphoma/mutations.json · Back to the briefing

Answer block

In Diffuse Large B-Cell Lymphoma (Duke, Cell 2017) (1001 sequenced patients, exome or genome), the most frequently altered of the 46 genes shown are KMT2D 24.68%, MYD88 17.18%, PIM1 14.59%, CREBBP 11.49%, H1-4 10.49%. Each figure divides by the patients on whom that gene could be called.

Of the briefing's 12 curated targets, 2 are altered in under 2% of this cohort (MS4A1, CD19): 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%.

Alterationdlbcl_duke_2017
1001 pts · exome or genome
dlbcl_dfci_2018
135 pts · exome or genome
MS4A1 SNV / small indel0%0%
CD19 SNV / small indel0%1.48%2/135
CD79B SNV / small indel4.7%47/100114.81%20/135
BCL2 SNV / small indel9.69%97/100122.22%30/135
BCL6 SNV / small indel4.5%45/10018.89%12/135
MYC SNV / small indel4.5%45/10016.67%9/135
EZH2 SNV / small indel6.09%61/10016.67%9/135
MYD88 SNV / small indel17.18%172/100116.3%22/135
CREBBP SNV / small indel11.49%115/100120.74%28/135
KMT2D SNV / small indel24.68%247/100125.93%35/135
TP53 SNV / small indel9.29%93/100122.96%31/135
BTK SNV / small indel2.8%28/10012.96%4/135
PIM1 SNV / small indel14.59%146/100122.96%31/135
H1-4 SNV / small indel10.49%105/100110.37%14/135
SPEN SNV / small indel10.09%101/10014.44%6/135
ARID1A SNV / small indel9.59%96/10012.96%4/135
SOCS1 SNV / small indel9.19%92/10013.7%5/135
CARD11 SNV / small indel8.89%89/100113.33%18/135
SETD1B SNV / small indel8.29%83/10010%
GNA13 SNV / small indel8.29%83/10018.89%12/135
ARID1B SNV / small indel8.29%83/10012.22%3/135
TNFRSF14 SNV / small indel7.79%78/100112.59%17/135
DUSP2 SNV / small indel7.59%76/10012.96%4/135
SMARCA4 SNV / small indel7.49%75/10010.74%1/135
MGA SNV / small indel7.49%75/10010.74%1/135
NOTCH2 SNV / small indel7.29%73/10015.93%8/135
ATM SNV / small indel7.19%72/10012.96%4/135
SGK1 SNV / small indel6.69%67/100114.07%19/135
KLHL6 SNV / small indel6.69%67/10018.89%12/135
MTOR SNV / small indel6.39%64/10012.22%3/135
IRF8 SNV / small indel6.39%64/10016.67%9/135
BIRC6 SNV / small indel6.39%64/10015.19%7/135
PIK3CD SNV / small indel6.29%63/10012.96%4/135
TET2 SNV / small indel6.19%62/10012.22%3/135
SETD2 SNV / small indel6.19%62/10012.22%3/135
BTG2 SNV / small indel5.79%58/10012.96%4/135
EP300 SNV / small indel5.69%57/10016.67%9/135
KMT2C SNV / small indel5.59%56/10013.7%5/135
CD70 SNV / small indel5.59%56/10019.63%13/135
B2M SNV / small indel5.59%56/10015.93%8/135
MEF2B SNV / small indel5.49%55/10018.89%12/135
TBL1XR1 SNV / small indel5.29%53/10019.63%13/135
STAT6 SNV / small indel5.29%53/10011.48%2/135
KLHL14 SNV / small indel5.19%52/10015.19%7/135
CHD8 SNV / small indel5.0%50/10014.44%6/135
INO80 SNV / small indel4.9%49/10012.22%3/135

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

Key findings

KMT2D is mutated in 247 of 1001 patients in Diffuse Large B-Cell Lymphoma (Duke, Cell 2017).
Numerator: 247 · Denominator: 1001 · Frequency: 24.68% · Observed in 2 cohorts · Confidence: moderate · Source: dlbcl_duke_2017 · Retrieved: 2026-09-18

MYD88 is mutated in 172 of 1001 patients in Diffuse Large B-Cell Lymphoma (Duke, Cell 2017).
Numerator: 172 · Denominator: 1001 · Frequency: 17.18% · Observed in 2 cohorts · Confidence: moderate · Source: dlbcl_duke_2017 · Retrieved: 2026-09-18

PIM1 is mutated in 146 of 1001 patients in Diffuse Large B-Cell Lymphoma (Duke, Cell 2017).
Numerator: 146 · Denominator: 1001 · Frequency: 14.59% · Observed in 2 cohorts · Confidence: moderate · Source: dlbcl_duke_2017 · Retrieved: 2026-09-18

Gene table — reference cohort

Headline values are from the reference cohort, dlbcl_duke_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.

GeneWhy listedLargest alterationAltered / testedFrequencyWithout hypermutatedCohorts observedRange across cohortsRecurrent changes
MS4A1 curated target SNV / small indel 0 / 1001 0.0% 0 / 2 0.0–0.0% none recurrent
CD19 curated target SNV / small indel 0 / 1001 0.0% 1 / 2 0.0–1.48% none recurrent
CD79B curated target SNV / small indel 47 / 1001 4.7% 2 / 2 4.7–14.81% Y197S (n=18), Y197H (n=15), A55V (n=2), I162L (n=2), I202T (n=2)
BCL2 curated target SNV / small indel 97 / 1001 9.69% 2 / 2 9.69–22.22% A131V (n=14), A60V (n=12), P59S (n=9), R129H (n=7), L86F (n=5)
BCL6 curated target SNV / small indel 45 / 1001 4.5% 2 / 2 4.5–8.89% A587G (n=5), A587T (n=4), R678H (n=2), T48M (n=2), P629L (n=2)
MYC curated target SNV / small indel 45 / 1001 4.5% 2 / 2 4.5–6.67% L164V (n=6), E54D (n=4), Q50L (n=2), S107N (n=2), S129N (n=2)
EZH2 curated target SNV / small indel 61 / 1001 6.09% 2 / 2 6.09–6.67% Y646N (n=33), Y646F (n=24), V707G (n=1), T144I (n=1), C647S (n=1)
MYD88 curated target SNV / small indel 172 / 1001 17.18% 2 / 2 16.3–17.18% L265P (n=110), S243N (n=17), S219C (n=13), M232T (n=8), V217F (n=5)
CREBBP curated target SNV / small indel 115 / 1001 11.49% 2 / 2 11.49–20.74% R1446H (n=6), R1446C (n=5), P1943L (n=4), Y1503F (n=4), Y1503D (n=3)
KMT2D curated target SNV / small indel 247 / 1001 24.68% 2 / 2 24.68–25.93% S4907L (n=6), R5154Q (n=4), R2915* (n=4), R2072C (n=4), R4282* (n=4)
TP53 curated target SNV / small indel 93 / 1001 9.29% 2 / 2 9.29–22.96% R175H (n=10), R248Q (n=9), G245D (n=4), G245S (n=4), N239D (n=3)
BTK curated target SNV / small indel 28 / 1001 2.8% 2 / 2 2.8–2.96% R236Q (n=3), R332C (n=3), R288W (n=2), N530Y (n=2), P642S (n=1)
PIM1 by frequency SNV / small indel 146 / 1001 14.59% 2 / 2 14.59–22.96% E135K (n=22), L2F (n=19), S97N (n=18), G28D (n=17), L184F (n=16)
H1-4 by frequency SNV / small indel 105 / 1001 10.49% 2 / 2 10.37–10.49% A164V (n=11), A120T (n=11), A65T (n=7), S104F (n=7), P118S (n=5)
SPEN by frequency SNV / small indel 101 / 1001 10.09% 2 / 2 4.44–10.09% R243Q (n=5), G3378S (n=5), R637* (n=4), R2081* (n=4), G3375S (n=3)
ARID1A by frequency SNV / small indel 96 / 1001 9.59% 2 / 2 2.96–9.59% G85D (n=5), R1721* (n=4), S357N (n=3), V5I (n=3), R693* (n=3)
SOCS1 by frequency SNV / small indel 92 / 1001 9.19% 2 / 2 3.7–9.19% S125T (n=12), S116N (n=7), H129Q (n=4), A16T (n=4), P19S (n=4)
CARD11 by frequency SNV / small indel 89 / 1001 8.89% 2 / 2 8.89–13.33% D230N (n=8), L251P (n=6), R337Q (n=5), C49Y (n=4), R967C (n=4)
SETD1B by frequency SNV / small indel 83 / 1001 8.29% 1 / 2 0.0–8.29% V1907I (n=4), P749L (n=4), A1858T (n=3), A654T (n=3), A804T (n=3)
GNA13 by frequency SNV / small indel 83 / 1001 8.29% 2 / 2 8.29–8.89% G60D (n=5), Q27* (n=4), Q28* (n=4), F252L (n=2), K61M (n=2)
ARID1B by frequency SNV / small indel 83 / 1001 8.29% 2 / 2 2.22–8.29% A44T (n=5), A43V (n=3), S30N (n=3), R1102* (n=3), M429V (n=3)
TNFRSF14 by frequency SNV / small indel 78 / 1001 7.79% 2 / 2 7.79–12.59% W12* (n=9), M1? (n=4), P146L (n=4), C127R (n=3), N173S (n=3)
DUSP2 by frequency SNV / small indel 76 / 1001 7.59% 2 / 2 2.96–7.59% G134D (n=6), P152S (n=5), C143Y (n=5), G131D (n=4), R41H (n=4)
SMARCA4 by frequency SNV / small indel 75 / 1001 7.49% 2 / 2 0.74–7.49% R425Q (n=5), G239S (n=4), D1381N (n=4), G231S (n=4), D1177N (n=3)
MGA by frequency SNV / small indel 75 / 1001 7.49% 2 / 2 0.74–7.49% R2425C (n=5), R971Q (n=5), R984C (n=4), S841N (n=3), R1467H (n=3)
NOTCH2 by frequency SNV / small indel 73 / 1001 7.29% 2 / 2 5.93–7.29% R2400* (n=12), A1867V (n=4), E723K (n=4), S1804L (n=3), R1838* (n=3)
ATM by frequency SNV / small indel 72 / 1001 7.19% 2 / 2 2.96–7.19% N429S (n=13), A1309T (n=5), R337H (n=4), R720C (n=3), V1468I (n=3)
SGK1 by frequency SNV / small indel 67 / 1001 6.69% 2 / 2 6.69–14.07% A121V (n=8), H146Y (n=7), A143V (n=6), A228G (n=3), Q125* (n=2)
KLHL6 by frequency SNV / small indel 67 / 1001 6.69% 2 / 2 6.69–8.89% E568K (n=11), L65P (n=10), L90F (n=5), D442N (n=3), V602I (n=3)
MTOR by frequency SNV / small indel 64 / 1001 6.39% 2 / 2 2.22–6.39% E2536A (n=17), R2348C (n=5), R604C (n=4), T588M (n=3), R619H (n=2)
IRF8 by frequency SNV / small indel 64 / 1001 6.39% 2 / 2 6.39–6.67% Y23H (n=6), T80A (n=6), A257T (n=4), K66R (n=4), V287M (n=3)
BIRC6 by frequency SNV / small indel 64 / 1001 6.39% 2 / 2 5.19–6.39% T4672M (n=4), P1680S (n=2), H3668Q (n=2), N3709S (n=2), Q3184* (n=2)
PIK3CD by frequency SNV / small indel 63 / 1001 6.29% 2 / 2 2.96–6.29% R38C (n=22), E1021K (n=9), A849T (n=4), G245S (n=4), E200K (n=3)
TET2 by frequency SNV / small indel 62 / 1001 6.19% 2 / 2 2.22–6.19% N767D (n=2), M600V (n=2), M611K (n=2), Q1903* (n=2), H1817N (n=2)
SETD2 by frequency SNV / small indel 62 / 1001 6.19% 2 / 2 2.22–6.19% V768L (n=4), E639K (n=3), T928R (n=3), M1889T (n=3), R329W (n=3)
BTG2 by frequency SNV / small indel 58 / 1001 5.79% 2 / 2 2.96–5.79% G28D (n=9), L10F (n=6), L35F (n=5), S31N (n=5), R34K (n=3)
EP300 by frequency SNV / small indel 57 / 1001 5.69% 2 / 2 5.69–6.67% L415P (n=5), G194S (n=3), R1405H (n=3), Y1467D (n=2), S848N (n=2)
KMT2C by frequency SNV / small indel 56 / 1001 5.59% 2 / 2 3.7–5.59% C4883R (n=4), A2223T (n=3), D2092V (n=3), R3252H (n=3), C3460G (n=3)
CD70 by frequency SNV / small indel 56 / 1001 5.59% 2 / 2 5.59–9.63% Q47* (n=6), G66R (n=6), R83H (n=5), R157H (n=3), Q61* (n=3)
B2M by frequency SNV / small indel 56 / 1001 5.59% 2 / 2 5.59–5.93% M1? (n=16), L7* (n=7), L10R (n=3), L12R (n=3), L59* (n=2)
MEF2B by frequency SNV / small indel 55 / 1001 5.49% 2 / 2 5.49–8.89% P318L (n=4), E77K (n=3), K4E (n=3), T20M (n=2), P325L (n=2)
TBL1XR1 by frequency SNV / small indel 53 / 1001 5.29% 2 / 2 5.29–9.63% Y446S (n=5), A295T (n=4), R513Q (n=3), Y395C (n=2), G267C (n=2)
STAT6 by frequency SNV / small indel 53 / 1001 5.29% 2 / 2 1.48–5.29% D419G (n=9), N417Y (n=5), E377K (n=3), D419N (n=3), I700T (n=2)
KLHL14 by frequency SNV / small indel 52 / 1001 5.19% 2 / 2 5.19–5.19% W245* (n=6), L139F (n=5), R560* (n=3), L177F (n=2), S242P (n=2)
CHD8 by frequency SNV / small indel 50 / 1001 5.0% 2 / 2 4.44–5.0% R1797Q (n=4), R912C (n=4), R1580Q (n=3), R938C (n=3), D1870N (n=3)
INO80 by frequency SNV / small indel 49 / 1001 4.9% 2 / 2 2.22–4.9% R1212C (n=5), R1281W (n=4), R1212H (n=3), R1112W (n=3), A1461T (n=3)

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
Diffuse Large B-Cell Lymphoma (Duke, Cell 2017) reference
Diffuse Large B-Cell Lymphoma (Duke, Cell 2017)
dlbcl_duke_20171001 observed1001 / 1001exome or genomeWES (1001)hg19SNV, small indel06
Diffuse Large B cell Lymphoma (DFCI, Nat Med 2018)
Diffuse Large B cell Lymphoma (DFCI, Nat Med 2018)
dlbcl_dfci_2018135 observed135 / 135exome or genomeWES (135)hg19SNV, small indel, structural variant (profile present, not read)172

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)
MS4A10.0–0.0%dlbcl_duke_2017: 0/1001 (0.0%) · dlbcl_dfci_2018: 0/135 (0.0%)
CD190.0–1.48%dlbcl_duke_2017: 0/1001 (0.0%) · dlbcl_dfci_2018: 2/135 (1.48%)
CD79B4.7–14.81%dlbcl_duke_2017: 47/1001 (4.7%) · dlbcl_dfci_2018: 20/135 (14.81%)
BCL29.69–22.22%dlbcl_duke_2017: 97/1001 (9.69%) · dlbcl_dfci_2018: 30/135 (22.22%)
BCL64.5–8.89%dlbcl_duke_2017: 45/1001 (4.5%) · dlbcl_dfci_2018: 12/135 (8.89%)
MYC4.5–6.67%dlbcl_duke_2017: 45/1001 (4.5%) · dlbcl_dfci_2018: 9/135 (6.67%)
EZH26.09–6.67%dlbcl_duke_2017: 61/1001 (6.09%) · dlbcl_dfci_2018: 9/135 (6.67%)
MYD8816.3–17.18%dlbcl_duke_2017: 172/1001 (17.18%) · dlbcl_dfci_2018: 22/135 (16.3%)
CREBBP11.49–20.74%dlbcl_duke_2017: 115/1001 (11.49%) · dlbcl_dfci_2018: 28/135 (20.74%)
KMT2D24.68–25.93%dlbcl_duke_2017: 247/1001 (24.68%) · dlbcl_dfci_2018: 35/135 (25.93%)
TP539.29–22.96%dlbcl_duke_2017: 93/1001 (9.29%) · dlbcl_dfci_2018: 31/135 (22.96%)
BTK2.8–2.96%dlbcl_duke_2017: 28/1001 (2.8%) · dlbcl_dfci_2018: 4/135 (2.96%)
PIM114.59–22.96%dlbcl_duke_2017: 146/1001 (14.59%) · dlbcl_dfci_2018: 31/135 (22.96%)
H1-410.37–10.49%dlbcl_duke_2017: 105/1001 (10.49%) · dlbcl_dfci_2018: 14/135 (10.37%)
SPEN4.44–10.09%dlbcl_duke_2017: 101/1001 (10.09%) · dlbcl_dfci_2018: 6/135 (4.44%)
ARID1A2.96–9.59%dlbcl_duke_2017: 96/1001 (9.59%) · dlbcl_dfci_2018: 4/135 (2.96%)
SOCS13.7–9.19%dlbcl_duke_2017: 92/1001 (9.19%) · dlbcl_dfci_2018: 5/135 (3.7%)
CARD118.89–13.33%dlbcl_duke_2017: 89/1001 (8.89%) · dlbcl_dfci_2018: 18/135 (13.33%)
SETD1B0.0–8.29%dlbcl_duke_2017: 83/1001 (8.29%) · dlbcl_dfci_2018: 0/135 (0.0%)
GNA138.29–8.89%dlbcl_duke_2017: 83/1001 (8.29%) · dlbcl_dfci_2018: 12/135 (8.89%)
ARID1B2.22–8.29%dlbcl_duke_2017: 83/1001 (8.29%) · dlbcl_dfci_2018: 3/135 (2.22%)
TNFRSF147.79–12.59%dlbcl_duke_2017: 78/1001 (7.79%) · dlbcl_dfci_2018: 17/135 (12.59%)
DUSP22.96–7.59%dlbcl_duke_2017: 76/1001 (7.59%) · dlbcl_dfci_2018: 4/135 (2.96%)
SMARCA40.74–7.49%dlbcl_duke_2017: 75/1001 (7.49%) · dlbcl_dfci_2018: 1/135 (0.74%)
MGA0.74–7.49%dlbcl_duke_2017: 75/1001 (7.49%) · dlbcl_dfci_2018: 1/135 (0.74%)
NOTCH25.93–7.29%dlbcl_duke_2017: 73/1001 (7.29%) · dlbcl_dfci_2018: 8/135 (5.93%)
ATM2.96–7.19%dlbcl_duke_2017: 72/1001 (7.19%) · dlbcl_dfci_2018: 4/135 (2.96%)
SGK16.69–14.07%dlbcl_duke_2017: 67/1001 (6.69%) · dlbcl_dfci_2018: 19/135 (14.07%)
KLHL66.69–8.89%dlbcl_duke_2017: 67/1001 (6.69%) · dlbcl_dfci_2018: 12/135 (8.89%)
MTOR2.22–6.39%dlbcl_duke_2017: 64/1001 (6.39%) · dlbcl_dfci_2018: 3/135 (2.22%)
IRF86.39–6.67%dlbcl_duke_2017: 64/1001 (6.39%) · dlbcl_dfci_2018: 9/135 (6.67%)
BIRC65.19–6.39%dlbcl_duke_2017: 64/1001 (6.39%) · dlbcl_dfci_2018: 7/135 (5.19%)
PIK3CD2.96–6.29%dlbcl_duke_2017: 63/1001 (6.29%) · dlbcl_dfci_2018: 4/135 (2.96%)
TET22.22–6.19%dlbcl_duke_2017: 62/1001 (6.19%) · dlbcl_dfci_2018: 3/135 (2.22%)
SETD22.22–6.19%dlbcl_duke_2017: 62/1001 (6.19%) · dlbcl_dfci_2018: 3/135 (2.22%)
BTG22.96–5.79%dlbcl_duke_2017: 58/1001 (5.79%) · dlbcl_dfci_2018: 4/135 (2.96%)
EP3005.69–6.67%dlbcl_duke_2017: 57/1001 (5.69%) · dlbcl_dfci_2018: 9/135 (6.67%)
KMT2C3.7–5.59%dlbcl_duke_2017: 56/1001 (5.59%) · dlbcl_dfci_2018: 5/135 (3.7%)
CD705.59–9.63%dlbcl_duke_2017: 56/1001 (5.59%) · dlbcl_dfci_2018: 13/135 (9.63%)
B2M5.59–5.93%dlbcl_duke_2017: 56/1001 (5.59%) · dlbcl_dfci_2018: 8/135 (5.93%)
MEF2B5.49–8.89%dlbcl_duke_2017: 55/1001 (5.49%) · dlbcl_dfci_2018: 12/135 (8.89%)
TBL1XR15.29–9.63%dlbcl_duke_2017: 53/1001 (5.29%) · dlbcl_dfci_2018: 13/135 (9.63%)
STAT61.48–5.29%dlbcl_duke_2017: 53/1001 (5.29%) · dlbcl_dfci_2018: 2/135 (1.48%)
KLHL145.19–5.19%dlbcl_duke_2017: 52/1001 (5.19%) · dlbcl_dfci_2018: 7/135 (5.19%)
CHD84.44–5.0%dlbcl_duke_2017: 50/1001 (5.0%) · dlbcl_dfci_2018: 6/135 (4.44%)
INO802.22–4.9%dlbcl_duke_2017: 49/1001 (4.9%) · dlbcl_dfci_2018: 3/135 (2.22%)

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/diffuse-large-b-cell-lymphoma.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.