Evidence map›Paper›PMID 36776306›Full record

ArticleFrontiers in oncology2023

KNL1 is a prognostic and diagnostic biomarker related to immune infiltration in patients with uterine corpus endometrial carcinoma.

Kang He, Jingze Li, Xuemiao Huang, Weixin Zhao, Kai Wang, Taiwei Wang, Junyu Chen, Zeyu Wang, Jiang Yi, Shuhua Zhao and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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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

11 authors.

Kang HeDepartment of Rehabilitation, School of Nursing, Jilin University, Changchun, China.
Jingze LiDepartment of Rehabilitation, School of Nursing, Jilin University, Changchun, China.
Xuemiao HuangDepartment of Rehabilitation, School of Nursing, Jilin University, Changchun, China.
Weixin ZhaoThe Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, Jilin, China.
Kai WangDepartment of Rehabilitation, School of Nursing, Jilin University, Changchun, China.
Taiwei WangDepartment of Rehabilitation, School of Nursing, Jilin University, Changchun, China.
Junyu ChenThe Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, Jilin, China.
Zeyu WangDepartment of Rehabilitation, School of Nursing, Jilin University, Changchun, China.
Jiang YiDepartment of Rehabilitation, The Second Hospital of Jilin University, Changchun, Jilin, China.
Shuhua ZhaoThe Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, Jilin, China.
Lijing ZhaoDepartment of Rehabilitation, School of Nursing, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence and mortality of uterine corpus endometrial carcinoma (UCEC) are increasing yearly. There is currently no screening test for UCEC, and progress in its treatment is limited. It is important to identify new biomarkers for screening, diagnosing and predicting the outcomes of UCEC. A large number of previous studies have proven that KNL1 is crucial in the development of lung cancer, colorectal cancer and cervical cancer, but there is a lack of studies about the role of KNL1 in the development of UCEC. Methods: The mRNA and protein expression data of KNL1 in The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and UALCAN databases and related clinical data were used to analyze the expression differences and clinical correlations of KNL1 in UCEC. A total of 108 clinical samples were collected, and the results of bioinformatics analysis were verified by immunohistochemistry. KNL1 and its related differentially expressed genes were used to draw a volcano map, construct a PPI protein interaction network, and perform gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis (GSEA) and immune infiltration analysis to predict the function of KNL1 during UCEC progression. The prognostic data of TCGA and 108 clinical patients were used to analyze the correlation of KNL1 expression with the survival of patients, and KM survival curves were drawn. The UCEC cell lines Ishikawa and Hec-1-A were used to verify the function of KNL1. Results: KNL1 is significantly overexpressed in UCEC and is associated with a poor prognosis. KNL1 overexpression is closely related to cell mitosis, the cell cycle and other functions and is correlated with the International Federation of Gynecology and Obstetrics (FIGO) stage, histological grade and other characteristics of UCEC patients. Knockdown of KNL1 expression in UCEC cell lines can inhibit their proliferation, invasion, metastasis and other phenotypes. Conclusion: KNL1 is a prognostic and diagnostic biomarker associated with immune evasion in patients with UCEC.

Indexed as

bioinformaticsbiomarkerKNL1prognosisuterine corpus endometrial carcinoma

Identifiers

PMID36776306
PMCPMC9913269

What Socratic holds

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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 Socratic graph.