Disease intelligence · mutation landscape
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.
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%.
| Alteration | dlbcl_duke_2017 1001 pts · exome or genome | dlbcl_dfci_2018 135 pts · exome or genome |
|---|---|---|
| MS4A1 SNV / small indel | 0% | 0% |
| CD19 SNV / small indel | 0% | 1.48%2/135 |
| CD79B SNV / small indel | 4.7%47/1001 | 14.81%20/135 |
| BCL2 SNV / small indel | 9.69%97/1001 | 22.22%30/135 |
| BCL6 SNV / small indel | 4.5%45/1001 | 8.89%12/135 |
| MYC SNV / small indel | 4.5%45/1001 | 6.67%9/135 |
| EZH2 SNV / small indel | 6.09%61/1001 | 6.67%9/135 |
| MYD88 SNV / small indel | 17.18%172/1001 | 16.3%22/135 |
| CREBBP SNV / small indel | 11.49%115/1001 | 20.74%28/135 |
| KMT2D SNV / small indel | 24.68%247/1001 | 25.93%35/135 |
| TP53 SNV / small indel | 9.29%93/1001 | 22.96%31/135 |
| BTK SNV / small indel | 2.8%28/1001 | 2.96%4/135 |
| PIM1 SNV / small indel | 14.59%146/1001 | 22.96%31/135 |
| H1-4 SNV / small indel | 10.49%105/1001 | 10.37%14/135 |
| SPEN SNV / small indel | 10.09%101/1001 | 4.44%6/135 |
| ARID1A SNV / small indel | 9.59%96/1001 | 2.96%4/135 |
| SOCS1 SNV / small indel | 9.19%92/1001 | 3.7%5/135 |
| CARD11 SNV / small indel | 8.89%89/1001 | 13.33%18/135 |
| SETD1B SNV / small indel | 8.29%83/1001 | 0% |
| GNA13 SNV / small indel | 8.29%83/1001 | 8.89%12/135 |
| ARID1B SNV / small indel | 8.29%83/1001 | 2.22%3/135 |
| TNFRSF14 SNV / small indel | 7.79%78/1001 | 12.59%17/135 |
| DUSP2 SNV / small indel | 7.59%76/1001 | 2.96%4/135 |
| SMARCA4 SNV / small indel | 7.49%75/1001 | 0.74%1/135 |
| MGA SNV / small indel | 7.49%75/1001 | 0.74%1/135 |
| NOTCH2 SNV / small indel | 7.29%73/1001 | 5.93%8/135 |
| ATM SNV / small indel | 7.19%72/1001 | 2.96%4/135 |
| SGK1 SNV / small indel | 6.69%67/1001 | 14.07%19/135 |
| KLHL6 SNV / small indel | 6.69%67/1001 | 8.89%12/135 |
| MTOR SNV / small indel | 6.39%64/1001 | 2.22%3/135 |
| IRF8 SNV / small indel | 6.39%64/1001 | 6.67%9/135 |
| BIRC6 SNV / small indel | 6.39%64/1001 | 5.19%7/135 |
| PIK3CD SNV / small indel | 6.29%63/1001 | 2.96%4/135 |
| TET2 SNV / small indel | 6.19%62/1001 | 2.22%3/135 |
| SETD2 SNV / small indel | 6.19%62/1001 | 2.22%3/135 |
| BTG2 SNV / small indel | 5.79%58/1001 | 2.96%4/135 |
| EP300 SNV / small indel | 5.69%57/1001 | 6.67%9/135 |
| KMT2C SNV / small indel | 5.59%56/1001 | 3.7%5/135 |
| CD70 SNV / small indel | 5.59%56/1001 | 9.63%13/135 |
| B2M SNV / small indel | 5.59%56/1001 | 5.93%8/135 |
| MEF2B SNV / small indel | 5.49%55/1001 | 8.89%12/135 |
| TBL1XR1 SNV / small indel | 5.29%53/1001 | 9.63%13/135 |
| STAT6 SNV / small indel | 5.29%53/1001 | 1.48%2/135 |
| KLHL14 SNV / small indel | 5.19%52/1001 | 5.19%7/135 |
| CHD8 SNV / small indel | 5.0%50/1001 | 4.44%6/135 |
| INO80 SNV / small indel | 4.9%49/1001 | 2.22%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).
MYD88 is mutated in 172 of 1001 patients in Diffuse Large B-Cell Lymphoma (Duke, Cell 2017).
PIM1 is mutated in 146 of 1001 patients in Diffuse Large B-Cell Lymphoma (Duke, Cell 2017).
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.
| Gene | Why listed | Largest alteration | Altered / tested | Frequency | Without hypermutated | Cohorts observed | Range across cohorts | Recurrent 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.
| Cohort | Accession | Patients | Samples sequenced / in study | Assay | Panels (samples) | Build | Profiles read | Hypermutated patients | Median mutations / sample |
|---|---|---|---|---|---|---|---|---|---|
| Diffuse Large B-Cell Lymphoma (Duke, Cell 2017) reference | dlbcl_duke_2017 | 1001 observed | 1001 / 1001 | exome or genome | WES (1001) | hg19 | SNV, small indel | 0 | 6 |
| Diffuse Large B cell Lymphoma (DFCI, Nat Med 2018) | dlbcl_dfci_2018 | 135 observed | 135 / 135 | exome or genome | WES (135) | hg19 | SNV, small indel, structural variant (profile present, not read) | 1 | 72 |
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.
| Gene | Event | Observed patients | Tested patients | Frequency | Cohort | Profile |
|---|---|---|---|---|---|---|
| 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.
| Gene | Range | Per cohort (altered / tested) |
|---|---|---|
| MS4A1 | 0.0–0.0% | dlbcl_duke_2017: 0/1001 (0.0%) · dlbcl_dfci_2018: 0/135 (0.0%) |
| CD19 | 0.0–1.48% | dlbcl_duke_2017: 0/1001 (0.0%) · dlbcl_dfci_2018: 2/135 (1.48%) |
| CD79B | 4.7–14.81% | dlbcl_duke_2017: 47/1001 (4.7%) · dlbcl_dfci_2018: 20/135 (14.81%) |
| BCL2 | 9.69–22.22% | dlbcl_duke_2017: 97/1001 (9.69%) · dlbcl_dfci_2018: 30/135 (22.22%) |
| BCL6 | 4.5–8.89% | dlbcl_duke_2017: 45/1001 (4.5%) · dlbcl_dfci_2018: 12/135 (8.89%) |
| MYC | 4.5–6.67% | dlbcl_duke_2017: 45/1001 (4.5%) · dlbcl_dfci_2018: 9/135 (6.67%) |
| EZH2 | 6.09–6.67% | dlbcl_duke_2017: 61/1001 (6.09%) · dlbcl_dfci_2018: 9/135 (6.67%) |
| MYD88 | 16.3–17.18% | dlbcl_duke_2017: 172/1001 (17.18%) · dlbcl_dfci_2018: 22/135 (16.3%) |
| CREBBP | 11.49–20.74% | dlbcl_duke_2017: 115/1001 (11.49%) · dlbcl_dfci_2018: 28/135 (20.74%) |
| KMT2D | 24.68–25.93% | dlbcl_duke_2017: 247/1001 (24.68%) · dlbcl_dfci_2018: 35/135 (25.93%) |
| TP53 | 9.29–22.96% | dlbcl_duke_2017: 93/1001 (9.29%) · dlbcl_dfci_2018: 31/135 (22.96%) |
| BTK | 2.8–2.96% | dlbcl_duke_2017: 28/1001 (2.8%) · dlbcl_dfci_2018: 4/135 (2.96%) |
| PIM1 | 14.59–22.96% | dlbcl_duke_2017: 146/1001 (14.59%) · dlbcl_dfci_2018: 31/135 (22.96%) |
| H1-4 | 10.37–10.49% | dlbcl_duke_2017: 105/1001 (10.49%) · dlbcl_dfci_2018: 14/135 (10.37%) |
| SPEN | 4.44–10.09% | dlbcl_duke_2017: 101/1001 (10.09%) · dlbcl_dfci_2018: 6/135 (4.44%) |
| ARID1A | 2.96–9.59% | dlbcl_duke_2017: 96/1001 (9.59%) · dlbcl_dfci_2018: 4/135 (2.96%) |
| SOCS1 | 3.7–9.19% | dlbcl_duke_2017: 92/1001 (9.19%) · dlbcl_dfci_2018: 5/135 (3.7%) |
| CARD11 | 8.89–13.33% | dlbcl_duke_2017: 89/1001 (8.89%) · dlbcl_dfci_2018: 18/135 (13.33%) |
| SETD1B | 0.0–8.29% | dlbcl_duke_2017: 83/1001 (8.29%) · dlbcl_dfci_2018: 0/135 (0.0%) |
| GNA13 | 8.29–8.89% | dlbcl_duke_2017: 83/1001 (8.29%) · dlbcl_dfci_2018: 12/135 (8.89%) |
| ARID1B | 2.22–8.29% | dlbcl_duke_2017: 83/1001 (8.29%) · dlbcl_dfci_2018: 3/135 (2.22%) |
| TNFRSF14 | 7.79–12.59% | dlbcl_duke_2017: 78/1001 (7.79%) · dlbcl_dfci_2018: 17/135 (12.59%) |
| DUSP2 | 2.96–7.59% | dlbcl_duke_2017: 76/1001 (7.59%) · dlbcl_dfci_2018: 4/135 (2.96%) |
| SMARCA4 | 0.74–7.49% | dlbcl_duke_2017: 75/1001 (7.49%) · dlbcl_dfci_2018: 1/135 (0.74%) |
| MGA | 0.74–7.49% | dlbcl_duke_2017: 75/1001 (7.49%) · dlbcl_dfci_2018: 1/135 (0.74%) |
| NOTCH2 | 5.93–7.29% | dlbcl_duke_2017: 73/1001 (7.29%) · dlbcl_dfci_2018: 8/135 (5.93%) |
| ATM | 2.96–7.19% | dlbcl_duke_2017: 72/1001 (7.19%) · dlbcl_dfci_2018: 4/135 (2.96%) |
| SGK1 | 6.69–14.07% | dlbcl_duke_2017: 67/1001 (6.69%) · dlbcl_dfci_2018: 19/135 (14.07%) |
| KLHL6 | 6.69–8.89% | dlbcl_duke_2017: 67/1001 (6.69%) · dlbcl_dfci_2018: 12/135 (8.89%) |
| MTOR | 2.22–6.39% | dlbcl_duke_2017: 64/1001 (6.39%) · dlbcl_dfci_2018: 3/135 (2.22%) |
| IRF8 | 6.39–6.67% | dlbcl_duke_2017: 64/1001 (6.39%) · dlbcl_dfci_2018: 9/135 (6.67%) |
| BIRC6 | 5.19–6.39% | dlbcl_duke_2017: 64/1001 (6.39%) · dlbcl_dfci_2018: 7/135 (5.19%) |
| PIK3CD | 2.96–6.29% | dlbcl_duke_2017: 63/1001 (6.29%) · dlbcl_dfci_2018: 4/135 (2.96%) |
| TET2 | 2.22–6.19% | dlbcl_duke_2017: 62/1001 (6.19%) · dlbcl_dfci_2018: 3/135 (2.22%) |
| SETD2 | 2.22–6.19% | dlbcl_duke_2017: 62/1001 (6.19%) · dlbcl_dfci_2018: 3/135 (2.22%) |
| BTG2 | 2.96–5.79% | dlbcl_duke_2017: 58/1001 (5.79%) · dlbcl_dfci_2018: 4/135 (2.96%) |
| EP300 | 5.69–6.67% | dlbcl_duke_2017: 57/1001 (5.69%) · dlbcl_dfci_2018: 9/135 (6.67%) |
| KMT2C | 3.7–5.59% | dlbcl_duke_2017: 56/1001 (5.59%) · dlbcl_dfci_2018: 5/135 (3.7%) |
| CD70 | 5.59–9.63% | dlbcl_duke_2017: 56/1001 (5.59%) · dlbcl_dfci_2018: 13/135 (9.63%) |
| B2M | 5.59–5.93% | dlbcl_duke_2017: 56/1001 (5.59%) · dlbcl_dfci_2018: 8/135 (5.93%) |
| MEF2B | 5.49–8.89% | dlbcl_duke_2017: 55/1001 (5.49%) · dlbcl_dfci_2018: 12/135 (8.89%) |
| TBL1XR1 | 5.29–9.63% | dlbcl_duke_2017: 53/1001 (5.29%) · dlbcl_dfci_2018: 13/135 (9.63%) |
| STAT6 | 1.48–5.29% | dlbcl_duke_2017: 53/1001 (5.29%) · dlbcl_dfci_2018: 2/135 (1.48%) |
| KLHL14 | 5.19–5.19% | dlbcl_duke_2017: 52/1001 (5.19%) · dlbcl_dfci_2018: 7/135 (5.19%) |
| CHD8 | 4.44–5.0% | dlbcl_duke_2017: 50/1001 (5.0%) · dlbcl_dfci_2018: 6/135 (4.44%) |
| INO80 | 2.22–4.9% | 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
- A cBioPortal public-API snapshot retrieved 2026-09-18; the page does not refresh source data at request time.
- Counts are patients with at least one non-silent call in the study's sequenced sample list; silent, intronic and UTR calls are excluded.
- For targeted-panel cohorts each gene divides by the patients whose panel carried it; a gene absent from the panel is shown as not assayed, not as zero.
- Copy-number rows use discrete calls (2 = high-level amplification, −2 = deep deletion) against the cohort's copy-number sample list, which is a different roster from the sequenced one.
- Cohorts are not pooled. Cross-study patient overlap has not been checked and no disease-wide frequency is reported.
- Structural variants and fusions are not read in this snapshot even where the study carries a profile; germline variants, mutational signatures, TMB and MSI are not reported.
- The gene set is the briefing's curated targets plus the reference cohort's most frequently mutated genes; it is not genome-wide.
How a machine should read this page
- Denominators: every frequency divides by the patients in one named cohort on whom the gene could be called; there is no disease-wide figure.
- Missing values:
not_assayed(the panel did not carry the gene),not_observed(assayed, none found) andnot_evaluable(the cohort could not be read) are three different facts and are never converted to zero. - Counting: patients, not samples; several samples from one patient count once. Non-silent calls only.
- Copy number: a separate assay with a separate roster; discrete calls at ±2 only.
- Hypermutation: flagged per cohort; the headline keeps all patients and the frequency without them is reported beside it.
- 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.