Evidence map›Paper›PMID 37311884›Full record

ReviewNPJ precision oncology2023

Targeting CDK1 in cancer: mechanisms and implications.

Qiushi Wang, Ann M Bode, Tianshun Zhang

Open access · goldAbstract readReview
In one paragraph

Review in NPJ precision oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 1 pooled it
39.1field-weighted citation impact, top 1% 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

131 citing papers in PubMed, 1 synthesis or guideline pooled it, 170 citations in OpenAlex.

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71 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Qiushi WangThe Hormel Institute, University of Minnesota, 801 16th Ave NE, Austin, MN, 55912, USA.
Ann M BodeThe Hormel Institute, University of Minnesota, 801 16th Ave NE, Austin, MN, 55912, USA. bodex008@umn.edu.
Tianshun ZhangThe Hormel Institute, University of Minnesota, 801 16th Ave NE, Austin, MN, 55912, USA. zhan4145@umn.edu.ORCID http://orcid.org/0000-0001-7018-8393
University of Minnesota · US

Funding

Targeted Prevention for Non-Melanoma Skin CancerP01CA229112 · NCI · UNIVERSITY OF ARIZONA · PI HU, CHENGCHENG · 2019 to 2023
$7.1M
NCI NIH HHS P01 CA229112
6 · The paper itself

Abstract

Cyclin dependent kinases (CDKs) are serine/threonine kinases that are proposed as promising candidate targets for cancer treatment. These proteins complexed with cyclins play a critical role in cell cycle progression. Most CDKs demonstrate substantially higher expression in cancer tissues compared with normal tissues and, according to the TCGA database, correlate with survival rate in multiple cancer types. Deregulation of CDK1 has been shown to be closely associated with tumorigenesis. CDK1 activation plays a critical role in a wide range of cancer types; and CDK1 phosphorylation of its many substrates greatly influences their function in tumorigenesis. Enrichment of CDK1 interacting proteins with Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was conducted to demonstrate that the associated proteins participate in multiple oncogenic pathways. This abundance of evidence clearly supports CDK1 as a promising target for cancer therapy. A number of small molecules targeting CDK1 or multiple CDKs have been developed and evaluated in preclinical studies. Notably, some of these small molecules have also been subjected to human clinical trials. This review evaluates the mechanisms and implications of targeting CDK1 in tumorigenesis and cancer therapy.

Identifiers

PMID37311884
PMCPMC10264400
OpenAlexW4380576406

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.