Evidence map›Paper›PMID 36342456›Full record

ArticleOncotarget2022

MK256 is a novel CDK8 inhibitor with potent antitumor activity in AML through downregulation of the STAT pathway.

Jen-Chieh Lee, Shu Liu, Yucheng Wang, You Liang, David M Jablons

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 10 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

5 authors at 1 institution in 1 country.

Jen-Chieh Lee *Thoracic Oncology, Department of Medicine, University of California, San Francisco, CA 94143, USA.
Shu Liu *Thoracic Oncology, Department of Medicine, University of California, San Francisco, CA 94143, USA.
Yucheng Wang *Thoracic Oncology, Department of Medicine, University of California, San Francisco, CA 94143, USA.
You LiangThoracic Oncology, Department of Medicine, University of California, San Francisco, CA 94143, USA.
David M JablonsThoracic Oncology, Department of Medicine, University of California, San Francisco, CA 94143, USA.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is the most lethal form of AML due to disease relapse. Cyclin dependent kinase 8 (CDK8) is a serine/threonine kinase that belongs to the family of Cyclin-dependent kinases and is an emerging target for the treatment of AML. MK256, a potent, selective, and orally available CDK8 inhibitor was developed to target AML. We sought to examine the anticancer effect of MK256 on AML. In CD34+/CD38- leukemia stem cells, we found that MK256 induced differentiation and maturation. Treatment of MK256 inhibited proliferation of AML cell lines. Further studies of the inhibitory effect suggested that MK256 not only downregulated phosphorylated STAT1(S727) and STAT5(S726), but also lowered mRNA expressions of MCL-1 and CCL2 in AML cell lines. Efficacy of MK256 was shown in MOLM-14 xenograft models, and the inhibitory effect on phosphorylated STAT1(S727) and STAT5(S726) with treatment of MK256 was observed

Indexed as

Cyclin-Dependent Kinase 8Leukemia, Myeloid, AcuteProtein Kinase InhibitorsSTAT Transcription FactorsAnimalsApoptosisCell Line, TumorCell ProliferationDown-RegulationHumansPhosphorylationCDK8 protein, humanCyclin-Dependent Kinase 8Protein Kinase InhibitorsSTAT Transcription FactorsAMLCDK8kinase inhibitorSTAT pathwayxenograft

Identifiers

PMID36342456
PMCPMC9629815
OpenAlexW4307983275

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.