Evidence map›Paper›PMID 34926692›Full record

ArticleBioMed research international2021

Comprehensive Analysis Identified ETV7 as a Potential Prognostic Biomarker in Bladder Cancer.

Haimeng Li, Yibo Zhang, Shangyong Zheng

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. A novel CD8Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Article
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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.

Haimeng LiSchool of Medicine, Yunnan University, Kunming, China.ORCID https://orcid.org/0000-0001-6276-7125
Yibo ZhangSchool of Medicine, Yunnan University, Kunming, China.
Shangyong ZhengSchool of Medicine, Yunnan University, Kunming, China.ORCID https://orcid.org/0000-0002-3986-9278
Yunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tumor microenvironment (TME) plays a crucial role in the initiation and progression of cancer. Bladder cancer (BLCA) is a malignant tumor of the genitourinary system. Its heterogeneity results in significant differences in the prognosis of patients. To date, this is still a huge challenge for clinical treatment. In recent years, more and more evidence showed that dysregulation of transcription factors (TFs) plays an important role in tumor progression, invasion, and metastasis. Unfortunately, the role of TFs on the tumor microenvironment in bladder cancer is unclear.

methodsThe original data of BLCA and corresponding adjacent tissues were obtained from The Cancer Genome Atlas (TCGA) database. TFs were downloaded from the Animal Transcription Factor DataBase (Animal TFDB). Intersection analysis was used to obtain TFs that were differentially expressed between tumor and adjacent tissues. Gene Set Cancer Analysis (GSCALite) and CIBERSORT software were used to reveal the key differentially expressed TFs (DE-TFs). Subsequently, UALCAN and Human Protein Atlas (HPA) databases were used to disclose the expression of key DE-TFs in BLCA. The

resultsWe obtained a total of 117 BLCA-related DE-TFs. Among them,

conclusionOverall, we proved that the transcription factor

Indexed as

AutophagyBiomarkers, TumorDatabases, ProteinHumansImmunityMultivariate AnalysisPrognosisProto-Oncogene Proteins c-etsTranscription FactorsTumor MicroenvironmentUrinary Bladder NeoplasmsBiomarkers, TumorETV7 protein, humanProto-Oncogene Proteins c-etsTranscription Factors

Identifiers

PMID34926692
PMCPMC8678556
OpenAlexW4200535774

What Socratic holds

Textmetadata
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 Socratic graph.