Evidence map›Paper›PMID 38017469›Full record

ArticleCancer cell international2023

Identifying prognostic characteristics of m6A-related glycolysis gene and predicting the immune infiltration landscape in bladder cancer.

Guanwen Zhou, Yi Li, Xiangguo Ren, Guoliang Qin, Zhaocun Zhang, Haifeng Zhao, Lijian Gao, Xianzhou Jiang

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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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

8 authors at 1 institution in 1 country.

Guanwen ZhouDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Yi LiDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Xiangguo RenDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Guoliang QinDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Zhaocun ZhangDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Haifeng ZhaoDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, China.
Lijian Gao *Department of Urology, Qilu Hospital of Shandong University, Jinan, 250012, China. gaolijian20082008@163.com.
Xianzhou Jiang *Department of Urology, Qilu Hospital of Shandong University, Jinan, 250012, China. jiangxzh968@sdu.edu.cn.
Qilu Hospital of Shandong University · CN

Funding

Natural Science Foundation of Shandong Province ZR2020MH082
6 · The paper itself

Abstract

backgroundsGlucose metabolism is associated with the development of cancers, and m6A RNA methylation regulator-related genes play vital roles in bladder urothelial carcinoma (BLCA). However, the role of m6A-related glucose metabolism genes in BLCA occurrence and development has not yet been reported. Our study aims to integrate m6A- and glycolysis-related genes and find potential gene targets for clinical diagnosis and prognosis of BLCA patients.

methodsSequencing data and clinical information on BLCA were extracted from common databases. Univariate Cox analysis was used to screen prognosis-related m6A glucose metabolism genes; BLCA subtypes were distinguished using consensus clustering analysis. Subsequently, genes associated with BLCA occurrence and development were identified using the "limma" R package. The risk score was then calculated, and a nomogram was constructed to predict survival rate of BLCA patients. Functional and immune microenvironment analyses were performed to explore potential functions and mechanisms of the different risk groups.

resultsBased on 70 prognosis-related m6A glucose metabolism genes, BLCA was classified into two subtypes, and 34 genes associated with its occurrence and development were identified. Enrichment analysis revealed an association of genes in high-risk groups with tricarboxylic acid cycle function and glycolysis. Moreover, significantly higher levels of seven immune checkpoints, 14 immune checkpoint inhibitors, and 32 immune factors were found in high-risk score groups.

conclusionsThis study identified two biomarkers associated with BLCA prognosis; these findings may deepen our understanding of the role of m6A-related glucose metabolism genes in BLCA development. We constructed a m6A-related glucose metabolism- and immune-related gene risk model, which could effectively predict patient prognosis and immunotherapy response and guide individualized immunotherapy.

Indexed as

BiomarkersBladder urothelial carcinomaGlucose metabolismImmunem6APrognosis

Identifiers

PMID38017469
PMCPMC10683108
OpenAlexW4389087683

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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.