Evidence map›Paper›PMID 28402164›Full record

ReviewLeukemia & lymphoma2017

HiJAKing the epigenome in leukemia and lymphoma.

Amanda C Drennan, Lixin Rui

Abstract readReview
In one paragraph

Review in Leukemia & lymphoma, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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 1 institution in 1 country.

Amanda C Drennana Department of Medicine and Carbone Cancer Center , University of Wisconsin School of Medicine and Public Health , Madison , WI , USA.
Lixin Ruia Department of Medicine and Carbone Cancer Center , University of Wisconsin School of Medicine and Public Health , Madison , WI , USA.
University of Wisconsin Carbone Cancer Center · US

Funding

RESEARCH TRAINING IN HEMATOLOGYT32HL007899 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Jane Ellen Churpek · 1998 to 2026
$8.2M
Epigenetic Gene Regulation by JAK1 Kinase in Diffuse Large B-Cell LymphomaR01CA187299 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI RUI, LIXIN · 2015 to 2019
$1.7M
NCI NIH HHS R01 CA187299NHLBI NIH HHS T32 HL007899
6 · The paper itself

Abstract

The Janus kinase (JAK)/signal transducer and activator of transcription (STAT) pathway is central to signaling by receptors of diverse cytokines, growth factors, and other related molecules. Many of these receptors transmit anti-apoptosis, proliferation, and differentiation signals that are critical for normal hematopoiesis and immune response. However, the JAK/STAT signaling pathway is deregulated in many hematologic malignancies, and as such is co-opted by malignant cells to promote their survival and proliferation. It has recently come to light that an alternative mechanism, wherein nuclear JAKs epigenetically modify the chromatin to increase gene expression independent of STATs, also plays an important role in the pathogenesis of many hematologic malignancies. In this review, we will focus on common genetic alterations of the JAK family members in leukemia and lymphoma, and provide examples in which JAKs regulate gene expression by targeting the cancer epigenome.

Indexed as

Epigenesis, GeneticEpigenomicsCell SurvivalGene Expression Regulation, NeoplasticHumansJanus KinasesLeukemiaLymphomaSignal TransductionSTAT Transcription FactorsJanus KinasesSTAT Transcription FactorsepigeneticshistoneJAKLeukemialymphomaphosphorylation

Identifiers

PMID28402164
PMCPMC5764090
OpenAlexW2605447197

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.