Evidence map›Paper›PMID 37584826›Full record

ArticleMolecular biotechnology2024

Comprehensive Analysis of Expression and Pathway for CD27 in Esophageal Cancer.

Fan-Kai Xiao, Lin Wang

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 76% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Fan-Kai XiaoOncology Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. xfkw@hotmail.com.ORCID http://orcid.org/0000-0001-6759-8252
Lin WangInternet Medical and System Applications of National Engineering Laboratory, First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, Henan, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

Henan province medical science, technology breakthrough plan project LHGJ20190033Youth Foundation of He'nan Scientific Committee 202300410416
6 · The paper itself

Abstract

CD27 as a marker of memory B cells is belong to the tumor necrosis factor receptor (TNFR) superfamily, CD27 is ligated by CD70, they can co-stimulate T-cell growth and differentiation through their interaction. Uncertainty surrounds CD27's function in esophageal cancer (EC). This study investigated the role of CD27 in the prognosis of EC using the TCGA, cbioportal, linkedomics and GEPIA databases as well as the proliferation assay was applied. CD27 differential expression may be a key factor in the development of EC. different level of CD27 expression in EC has profound impacts on TOR complex, and many kinds of kinase (KIT proto-oncogene receptor tyrosine kinase, transforming growth factor beta receptor 1, and G protein-coupled receptor kinase 3.), as well as the cell membrane, and survival analysis revealed that it had a significant impact on both the overall survival and disease-free survival of EC. CD27 overexpression will suppress the viability of the KYSE150 and TE3 cells. Our findings suggested that the degree of CD27 expression could serve as an esophageal cancer prognosis biomarker.

Indexed as

Biomarkers, TumorEsophageal NeoplasmsGene Expression Regulation, NeoplasticTumor Necrosis Factor Receptor Superfamily, Member 7Cell Line, TumorCell ProliferationHumansPrognosisProto-Oncogene MasSignal TransductionBiomarkers, TumorMAS1 protein, humanProto-Oncogene MasTumor Necrosis Factor Receptor Superfamily, Member 7CD27Esophageal cancerLinkedomicsOverall survival

Identifiers

PMID37584826
OpenAlexW4385851520

What OpenQuestion holds

Textmetadata
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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.