Evidence map›Paper›PMID 38261746›Full record

ArticleAging2024

Identification of BANF1 as a novel prognostic biomarker in gastric cancer and validation via

Yuanmin Xu, Xu Wang, Weiwei Yuan, Ling Zhang, Wei Chen, Kongwang Hu

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2024. 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
0.7field-weighted citation impact, top 33% 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, 3 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 3 institutions in 1 country.

Yuanmin XuDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Xu WangDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Weiwei YuanDepartment of General Surgery, Anhui Public Health Clinical Center, Hefei 230022, China.
Ling ZhangDepartment of Immunology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230022, China.
Wei ChenDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Kongwang HuDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNShanghai Public Health Clinical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is a widespread malignancy characterized by a notably high incidence rate and an unfavorable prognosis. We conducted a meticulous analysis of GC high-throughput sequencing data downloaded from the Gene Expression Omnibus (GEO) repository to pinpoint distinctive genes associated with GC. Our investigation successfully identified three signature genes implicated in GC, with a specific focus on the barrier to autointegration factor 1 (BANF1), which exhibits elevated expression across various cancer types, including GC. Bioinformatic analysis has highlighted BANF1 as a prognostic indicator for patients with GC, with direct implications for immune cell infiltration. To gain a more comprehensive understanding of the significance of BANF1 in GC, we performed a series of

Indexed as

DNA-Binding ProteinsStomach NeoplasmsAnimalsBiomarkersComputational BiologyHigh-Throughput Nucleotide SequencingHumansMiceMice, NudePrognosisBANF1 protein, humanBiomarkersDNA-Binding Proteinsbarrier to autointegration factor 1gastric cancerGEOoverall survivalTCGA

Identifiers

PMID38261746
PMCPMC10866416
OpenAlexW4391089656

What OpenQuestion 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 OpenQuestion graph.