Evidence map›Paper›PMID 33150179›Full record

ArticleBioMed research international2020

A Three Protein-Coding Gene Prognostic Model Predicts Overall Survival in Bladder Cancer Patients.

Xiang-Hui Ning, Yuan-Yuan Qi, Fang-Xin Wang, Song-Chao Li, Zhan-Kui Jia, Jin-Jian Yang

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2020. 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
0.5field-weighted citation impact, top 37% 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, 10 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

6 authors at 1 institution in 1 country.

Xiang-Hui NingDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, China.ORCID https://orcid.org/0000-0002-1578-304X
Yuan-Yuan QiDepartment of Nephrology, The First Affiliated Hospital, Zhengzhou University, China.ORCID https://orcid.org/0000-0002-5872-3311
Fang-Xin WangDepartment of Oral & Maxillofacial Surgery, The First Affiliated Hospital, Zhengzhou University, China.
Song-Chao LiDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, China.
Zhan-Kui JiaDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, China.
Jin-Jian YangDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, China.ORCID https://orcid.org/0000-0003-3693-1256
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer (BLCA) is the most common urinary tract tumor and is the 11th most malignant cancer worldwide. With the development of in-depth multisystem sequencing, an increasing number of prognostic molecular markers have been identified. In this study, we focused on the role of protein-coding gene methylation in the prognosis of BLCA. We downloaded BLCA clinical and methylation data from The Cancer Genome Atlas (TCGA) database and used this information to identify differentially methylated genes and construct a survival model using lasso regression. We assessed 365 cases, with complete information regarding survival status, survival time longer than 30 days, age, gender, and tumor characteristics (grade, stage, T, M, N), in our study. We identified 353 differentially methylated genes, including 50 hypomethylated genes and 303 hypermethylated genes. After annotation, a total of 227 genes were differentially expressed. Of these, 165 were protein-coding genes. Three genes (zinc finger protein 382 (

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overAtlases as TopicBiomarkers, TumorChromosomal Proteins, Non-HistoneDatabases, GeneticDNA-Binding ProteinsDNA MethylationEpigenesis, GeneticFemaleHumansMaleMiddle AgedMolecular Sequence AnnotationBiomarkers, TumorChromosomal Proteins, Non-HistoneDNA-Binding ProteinsReceptor, Galanin, Type 1SMCHD1 protein, humanTranscription FactorsZNF382 protein, human

Identifiers

PMID33150179
PMCPMC7603549
OpenAlexW3094527276

What OpenQuestion holds

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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.