Associated Genetic Biomarkers

Overview

NCI Definition: The most common type of non-Hodgkin lymphoma. It includes the most frequently seen morphologic variants which are: diffuse large B-cell lymphoma, follicular lymphoma, small lymphocytic lymphoma and marginal zone B-cell lymphoma. -- 2003 [1]

B-cell non-hodgkin lymphomas most frequently harbor alterations in KMT2D, TNFAIP3, CREBBP, TP53, and SOCS1 [2].

Most Commonly Altered Genes in B-Cell Non-Hodgkin Lymphoma

KMT2D Mutation, TP53 c.217-c.1178 Missense, TP53 c.142-c.212 Missense, TP53 c.1-c.137 Missense, and TP53 Mutation are the most common alterations in B-cell non-hodgkin lymphoma [2].

Top Alterations in B-Cell Non-Hodgkin Lymphoma

Significant Genes in B-Cell Non-Hodgkin Lymphoma

ABL1 +

AFF1 +

AKT1 +

AKT2 +

AKT3 +

ALK +

ATM +

ATR +

BARD1 +

BCL2 +

BCL6 +

BCR +

BRAF +

BRCA1 +

BRCA2 +

BRIP1 +

CBFB +

CCND1 +

CDK4 +

CDK6 +

CDKN2A +

CHEK1 +

CHEK2 +

CSF1R +

DEK +

EGFR +

ELL +

ERBB2 +

EZH2 +

FANCA +

FANCB +

FANCC +

FANCD2 +

FANCE +

FANCF +

FANCG +

FANCI +

FANCL +

FANCM +

FBXW7 +

FGFR1 +

FGFR2 +

FGFR3 +

FLCN +

FLT1 +

FLT3 +

FLT4 +

IGH +

IRF4 +

KDR +

KIT +

KMT2A +

MCPH1 +

MECOM +

MET +

MLF1 +

MLH1 +

MLLT1 +

MLLT10 +

MLLT3 +

MLLT4 +

MRE11A +

MSH2 +

MSH6 +

MTOR +

MYC +

MYH11 +

NBN +

NF1 +

NF2 +

NPM1 +

NTRK3 +

NUP214 +

PALB2 +

PBX1 +

PDGFRA +

PDGFRB +

PIK3CA +

PIK3R1 +

PMS2 +

POLD1 +

POLE +

PTCH1 +

PTEN +

RAD50 +

RAD51 +

RAD51B +

RAD51C +

RAD51D +

RET +

RHEB +

ROS1 +

RPN1 +

RUNX1 +

RUNX1T1 +

SLX4 +

SMO +

SRC +

STK11 +

TCF3 +

TP53 +

TSC1 +

TSC2 +

VHL +

Disease Details

Synonyms
Non-Hodgkin's Lymphoma B-Cell, Non-Hodgkin's B-Cell Lymphoma, B-Cell Non Hodgkin's Lymphoma, B-Cell Non-Hodgkin's Lymphoma, Lymphomas Non-Hodgkin's B-Cell, B-cell lymphoma
Parent(s)
Non-Hodgkin Lymphoma
Children
B-Cell Lymphoblastic Lymphoma and Mature B-Cell Non-Hodgkin Lymphoma
OncoTree Name
B-Cell Lymphoma
OncoTree Code
BCL

References

1. National Cancer Institute. NCI Thesaurus Version 18.11d. https://ncit.nci.nih.gov/ncitbrowser/ [2018-08-28]. [2018-09-21].

2. The AACR Project GENIE Consortium. AACR Project GENIE: powering precision medicine through an international consortium. Cancer Discovery. 2017;7(8):818-831. Dataset Version 4. This dataset does not represent the totality of the genetic landscape; see paper for more information.

3. All assertions and clinical trial landscape data are curated from primary sources. You can read more about the curation process here.