Evidence map›Paper›PMID 33413063›Full record

ReviewCurrent cancer drug targets2021

Epigenetic Mechanisms of Therapy Resistance in Diffuse Large B Cell Lymphoma (DLBCL).

Yusuke Isshiki, Ari Melnick

Open access · greenAbstract readReview
In one paragraph

Review in Current cancer drug targets, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Yusuke IsshikiDivision of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, United States.
Ari MelnickDivision of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, United States.
Cornell University · USWeill Cornell Medicine · US

Funding

Targeting Epigenetic Circuits in B-Cell LymphomasR35CA220499 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MELNICK, ARI M. · 2018 to 2024
$7.2M
Understanding and Targeting Chemotherapy Resistance in Acute Myeloid LeukemiaR01CA198089 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CARROLL, MARTIN · 2015 to 2019
$3.3M
NCI NIH HHS R01 CA198089NCI NIH HHS R35 CA220499
6 · The paper itself

Abstract

Diffuse large B cell lymphoma (DLBCL) is the most common histological subtype of non-Hodgkin B cell lymphoma (NHL), and manifests highly heterogeneous genetic/phenotypic characteristics as well as variable responses to conventional immunochemotherapy. Genetic profiling of DLBCL patients has revealed highly recurrent mutations of epigenetic regulator genes such as CREBBP, KMT2D, EZH2 and TET2. These mutations drive malignant transformation through aberrant epigenetic programming of B-cells and may influence clinical outcomes. These and other chromatin modifier genes also play critical roles in normal B-cells, as they undergo the various phenotypic transitions characteristic of the humoral immune response. Many of these functions have to do with impairing immune surveillance and may critically mediate resistance to immunotherapies. In this review, we describe how epigenetic dysfunction induces lymphomagenesis and discuss ways of implementing precision epigenetic therapies to reverse these immune resistant phenotypes.

Indexed as

Lymphoma, Large B-Cell, DiffuseNeoplasm ProteinsAntineoplastic Agents, ImmunologicalDrug Resistance, NeoplasmEpigenesis, GeneticGenetic HeterogeneityHumansMutationAntineoplastic Agents, ImmunologicalNeoplasm ProteinscREBBPDiffuse large B cell lymphoma (DLBCL)eP300epigenetic heterogeneityepigeneticseZH2kMT2DTET2

Identifiers

PMID33413063
PMCPMC10591517
OpenAlexW3119383051

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.