Evidence map›Paper›PMID 37311641›Full record

ArticleStroke and vascular neurology2024

Atherosclerosis-related biomarker PABPC1 predicts pan-cancer events.

Miao Lin, Liubing Hu, Si Shen, Jiyue Liu, Yanyan Liu, Yixian Xu, Honglin Chen, Kazuo Sugimoto, Jianshuang Li, Ikuo Kamitsukasa and 3 more

Open access · goldAbstract read
In one paragraph

Article in Stroke and vascular neurology, 2024. 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
1.5field-weighted citation impact, top 17% 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, 9 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

13 authors at 4 institutions in 2 countries.

Miao Lin *Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Liubing Hu *Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Si Shen *Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Jiyue LiuStroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Yanyan LiuThe Biomedical Translational Research Institute,Faculty of Medical Science, Jinan University, Guangzhou, China.
Yixian XuStroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Honglin ChenStroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Kazuo SugimotoDepartment of Biochemistry and Genetics, Graduate School of Medicine, Chiba University, Chiba, Japan.
Jianshuang LiThe Biomedical Translational Research Institute,Faculty of Medical Science, Jinan University, Guangzhou, China.
Ikuo KamitsukasaDepartment of Neurology, Chiba Rosai Hospital, Chiba, Japan.
Takaki HiwasaDepartment of Biochemistry and Genetics, Graduate School of Medicine, Chiba University, Chiba, Japan.
Hao WangStroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China haowang@jnu.edu.cn tlil@jnu.edu.cn.ORCID 0000-0003-2169-1712
Anding XuStroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China haowang@jnu.edu.cn tlil@jnu.edu.cn.ORCID 0000-0003-3154-0985
First Affiliated Hospital of Jinan University · CNChiba University · JPJinan University · CNChibaken Saiseikai Narashino Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtherosclerosis (AS) and tumours are the leading causes of death worldwide and share common risk factors, detection methods and molecular markers. Therefore, searching for serum markers shared by AS and tumours is beneficial to the early diagnosis of patients.

methodsThe sera of 23 patients with AS-related transient ischaemic attack were screened by serological identification of antigens through recombinant cDNA expression cloning (SEREX), and cDNA clones were identified. Pathway function enrichment analysis was performed on cDNA clones to identify their biological pathways and determine whether they were related to AS or tumours. Subsequently, gene-gene and protein-protein interactions were performed and AS-associated markers would be discovered. The expression of AS biomarkers in human normal organs and pan-cancer tumour tissues were explored. Then, immune infiltration level and tumour mutation burden of various immune cells were evaluated. Survival curves analysis could show the expression of AS markers in pan-cancer.

resultsAS-related sera were screened by SEREX, and 83 cDNA clones with high homology were obtained. Through functional enrichment analysis, it was found that their functions were closely related to AS and tumour functions. After multiple biological information interaction screening and the external cohort validating, poly(A) binding protein cytoplasmic 1 (PABPC1) was found to be a potential AS biomarker. To assess whether PABPC1 was related to pan-cancer, its expression in different tumour pathological stages and ages was screened. Since AS-associated proteins were closely related to cancer immune infiltration, we investigated and found that PABPC1 had the same role in pan-cancer. Finally, analysis of Kaplan-Meier survival curves revealed that high PABPC1 expression in pan-cancer was associated with high risk of death.

conclusionsThrough the findings of SEREX and bioinformatics pan-cancer analysis, we concluded that PABPC1 might serve as a potential biomarker for the prediction and diagnosis of AS and pan-cancer.

Indexed as

AtherosclerosisNeoplasmsPoly(A)-Binding Protein IPredictive Value of TestsAgedBiomarkers, TumorFemaleGene Regulatory NetworksHumansMaleMiddle AgedPrognosisProtein Interaction MapsRisk AssessmentBiomarkers, TumorPoly(A)-Binding Protein IAtherosclerosisCerebrovascular DisordersIschemic Attack, TransientStroke

Identifiers

PMID37311641
PMCPMC11103157
OpenAlexW4380576931

What OpenQuestion holds

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LicenceCC BY-NC
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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.