Evidence map›Paper›PMID 36660721›Full record

ArticleAnnals of translational medicine2022

High tyrosine threonine kinase expression predicts a poor prognosis: a potential therapeutic target for endometrial carcinoma.

Chun-Hong Cui, Qi Wu, Hong-Mei Zhou, Haiju He, Yan Wang, Zhendong Tang, Yi Zhang, Xue Wang, Jie Xiao, Hao Zhang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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

10 authors at 8 institutions in 1 country.

Chun-Hong Cui *Basic Medical College, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Qi Wu *Department of Clinical Laboratory, Shanghai 10th People's Hospital of Tongji University, Shanghai, China.
Hong-Mei ZhouDepartment of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Haiju HeDepartment of Hematology, Soochow University Affiliated No. 1 People's Hospital, Suzhou, China.
Yan WangHuashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Zhendong TangSchool of Data Science and Engineering, East China Normal University, Shanghai, China.
Yi ZhangDepartment of Inorganic Materials, School of Minerals Processing and Bioengineering, Central South University, Changsha, China.
Xue WangDepartment of Dermatology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jie XiaoDepartment of Anesthesiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Hao ZhangHuashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Huashan Hospital · CNRenji Hospital · CNCentral South University · CNEast China Normal University · CNShanghai Ninth People's Hospital · CNShanghai University of Medicine and Health Sciences · CNSoochow University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the most common female malignancy, the incidence and mortality of endometrial carcinoma (EC) continue to increase worldwide. The effects of traditional standard therapy are limited; thus, novel therapeutic strategies urgently need to be developed. We sought to provide prospective targeting insights into EC therapeutics by comprehensively examining and confirming the biological molecular characterization of EC genes. Methods: The molecular characterization of EC genes was integrated and analyzed using data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression Project (GTEx) databases. The differentially expressed genes (DEGs) were identified, and the abnormal expression of some core cell-cycle proteins in the EC specimens was determined by examining and integrating the TCGA and GTEx data. The enriched signaling pathways involved in tumor progression were also examined. Results: Immunohistochemical staining data from the Human Protein Atlas database showed that the differential expression levels of the cyclin dependent kinase inhibitor 2A (CDKN2A) and tyrosine threonine kinase (TTK) molecules, and the high messenger ribonucleic acid (RNA) levels of CDKN2A and TTK were associated with a poor prognosis in EC patients. High TTK expression was also significantly correlated with the tumor progression associated signaling pathways, such as the cell-cycle, nucleolus, and RNA processing pathways. The inhibition of TTK expression by a TTK inhibitor (NTRC0066-0) significantly suppressed the proliferation of the EC cells and synergistically increased the sensitivity of the EN and AN3-CA EC cell lines. Conclusions: The findings suggest that the TTK inhibitor could be used in EC therapy. This study highlighted the potential predictive role of TTK molecules and showed that TTK molecules might serve as prospective targets for EC therapy.

Indexed as

cell cyclecyclin dependent kinase inhibitor 2A (CDKN2A)Endometrial carcinoma (EC)TTK inhibitortyrosine threonine kinase (TTK)

Identifiers

PMID36660721
PMCPMC9843307
OpenAlexW4313363294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.