Evidence map›Paper›PMID 37845668›Full record

ArticleBMC urology2023

Establishment of prognostic model of bladder cancer based on apoptosis-related genes, in which P4HB promotes BLCA progression.

Zhenhai Zou, Zhong Li, Wei Sun, Wuyue Gao, Beibei Liu, Jianmin Liu, Yuanyuan Guo

Open access · goldAbstract read
In one paragraph

Article in BMC urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 5 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

7 authors at 1 institution in 1 country.

Zhenhai ZouDepartment of Urology, the First Affiliated Hospital of Bengbu Medical College, No.287, Changhuai Road, Longzihu, Bengbu, 233040, Anhui, China.
Zhong LiDepartment of Urology, the First Affiliated Hospital of Bengbu Medical College, No.287, Changhuai Road, Longzihu, Bengbu, 233040, Anhui, China.
Wei SunDepartment of Urology, the First Affiliated Hospital of Bengbu Medical College, No.287, Changhuai Road, Longzihu, Bengbu, 233040, Anhui, China.
Wuyue GaoDepartment of Urology, the First Affiliated Hospital of Bengbu Medical College, No.287, Changhuai Road, Longzihu, Bengbu, 233040, Anhui, China.
Beibei LiuDepartment of Urology, the First Affiliated Hospital of Bengbu Medical College, No.287, Changhuai Road, Longzihu, Bengbu, 233040, Anhui, China.
Jianmin LiuDepartment of Urology, the First Affiliated Hospital of Bengbu Medical College, No.287, Changhuai Road, Longzihu, Bengbu, 233040, Anhui, China.
Yuanyuan GuoDepartment of Urology, the First Affiliated Hospital of Bengbu Medical College, No.287, Changhuai Road, Longzihu, Bengbu, 233040, Anhui, China. guoshaohua111@163.com.
First Affiliated Hospital of Bengbu Medical College · CN

Funding

Anhui Provincial Health Care Commission Scientific Research Project AHWJ2021a007National Natural Science Foundation of China 81702495Postgraduate Innovation Programme Project of Bengbu Medical College Byycx21074]
6 · The paper itself

Abstract

backgroundA variety of apoptosis genes have been confirmed to be related to the occurrence and development of bladder cancer patients, but few studies have paid attention to their significance in the prognosis of bladder cancer. Therefore, this study explored the value of apoptosis-related genes in the prognosis of BLCA by using the data in TCGA database.

methodsWe downloaded the mRNA expression profiles and corresponding clinical data of bladder cancer patients from TCGA database, and obtained 2411 apoptosis-related genes from Deathbase database. Screening out differentially expressed apoptosis-related genes. Cox regression was used to determine the prognostic value of apoptosis-related genes, and then a prognostic risk model was developed. A nomogram based on risk model was constructed to predict the prognosis of bladder cancer patients. At the same time, immune infiltration correlation analysis of genes in the prognosis model.

resultsA prognostic model composed of 12 apoptosis-related genes was constructed. According to the risk score calculated by the model, patients were divided into high-risk group and low-risk group. There are significant differences in the expression of immune cells, immune function and immune checkpoint molecules between high-risk group and low-risk group. P4HB may promote bladder cancer progression.

conclusionBased on the differential expression of apoptosis-related genes, we established a risk model to predict the prognosis of bladder cancer patients, in which P4HB promotes BLCA progression.

Indexed as

Urinary Bladder NeoplasmsApoptosisHumansNomogramsProcollagen-Proline DioxygenasePrognosisProtein Disulfide-IsomerasesUrinary BladderP4HB protein, humanProcollagen-Proline DioxygenaseProtein Disulfide-IsomerasesApoptosis-related genesBladder carcinomaImmune infiltrationP4HBPrognostic model

Identifiers

PMID37845668
PMCPMC10577908
OpenAlexW4387668696

What OpenQuestion holds

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LicenceCC BY
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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.