Evidence map›Paper›PMID 38365953›Full record

ArticleScientific reports2024

Glycerol kinase enzyme is a prognostic predictor in esophageal carcinoma and is associated with immune cell infiltration.

Fei Ying, Xuyong Chen, Lihong Lv

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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
2.6field-weighted citation impact, top 10% 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, 9 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

3 authors at 1 institution in 1 country.

Fei YingDepartment of Gastroenterology, Xianju People's Hospital, NO.53 North East Road, Xianju County, Taizhou, Zhejiang Province, China.
Xuyong ChenDepartment of Gastroenterology, Xianju People's Hospital, NO.53 North East Road, Xianju County, Taizhou, Zhejiang Province, China.
Lihong LvDepartment of Gastroenterology, Xianju People's Hospital, NO.53 North East Road, Xianju County, Taizhou, Zhejiang Province, China. 756073810@qq.com.
Jingning County People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of lipid metabolism on tumorigenesis and progression has garnered significant attention. However, the role of Glycerol Kinase (GK), a key enzyme in glycerol metabolism, in Esophageal Carcinoma (ESCA) remains unclear. To further elucidate the relationship between GK and ESCA, we investigated GK expression levels using database information. Controlled studies employing immunohistochemistry were conducted on clinical ESCA tumor samples and normal specimens, confirming GK's elevated expression in ESCA. Analysis of The Cancer Genome Atlas (TCGA) data via Kaplan-Meier (KM) survival plots revealed that increased GK expression correlates with poorer ESCA patient outcomes, particularly in overall survival (OS) and disease-specific survival (DSS). Multiple regression analysis indicated that elevated GK expression is an independent risk factor affecting ESCA prognosis. Statistical analysis of prognostic data from clinical samples further corroborated this finding. Moreover, there appears to be a significant correlation between GK expression and immune infiltration, specifically involving certain T and B lymphocytes. In conclusion, elevated GK expression in ESCA is strongly linked to poor prognosis and increased immune cell infiltration, highlighting its potential as an independent prognostic biomarker and a viable therapeutic target.

Indexed as

Esophageal NeoplasmsGlycerol KinaseB-LymphocytesCarcinomaHumansLymphocytes, Tumor-InfiltratingPrognosisGlycerol KinaseEsophageal carcinomaGKImmune infiltrationPrognosis

Identifiers

PMID38365953
PMCPMC10873286
OpenAlexW4391878455

What OpenQuestion holds

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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.