Evidence map›Paper›PMID 30538549›Full record

ArticleCancer management and research2018

High EIF2B5 mRNA expression and its prognostic significance in liver cancer: a study based on the TCGA and GEO database.

Yan Jiao, Zhuo Fu, Yanqing Li, Lingyu Meng, Yahui Liu

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.1field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 68 citations in OpenAlex.

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  10. Risk score model of autophagy-related genes in osteosarcoma.Annals of translational medicine · 2022
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  15. Prognostic prediction and gene regulation network ofJournal of gastrointestinal oncology · 2021
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  19. Frontiers in oncology · 2021
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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

5 authors at 1 institution in 1 country.

Yan JiaoDepartment of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, People's Republic of China, liuyahui2008@yeah.net.
Zhuo FuDepartment of Hand and Foot Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, People's Republic of China.
Yanqing LiDepartment of Pathophysiology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin 130021, People's Republic of China.
Lingyu MengDepartment of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, People's Republic of China, liuyahui2008@yeah.net.
Yahui LiuDepartment of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, People's Republic of China, liuyahui2008@yeah.net.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLiver cancer is a high mortality disease with no curable treatments. Posttranscriptional modifications play essential roles in the occurrence and the progression of liver cancer. EIF2B5 is a subunit of EIF2B that regulates the initiation and the rate of translation and participates in several diseases including tumors. This study aims to elucidate the prognostic significance of EIF2B5 in liver cancer. MATERIALS AND

methodsWe used The Cancer Genome Atlas database to analyze the expression of EIF2B5 in liver cancer. Then we used chi-squared and Fisher exact tests to test the correlation between clinical characteristics and EIF2B5 expression. Finally, we assessed the role of EIF2B5 in prognosis by Kaplan-Meier curves and Cox analysis. Gene set enrichment analysis was performed by using The Cancer Genome Atlas data set.

resultsThe results showed that EIF2B5 was upregulated in liver cancer, and the expression was related to histologic grade, clinical stage, and vital status. Moreover, Kaplan-Meier curves and Cox analysis implicated that highly expressed EIF2B5 correlated with poor prognosis, and EIF2B5 was an independent risk factor for liver cancer. Gene set enrichment analysis showed that ATR and BRCA pathway, cell cycle pathway, DNA repair, myc signaling pathway, and E2F targets are differentially enriched in EIF2B5 high-expression phenotype.

conclusionOur results suggest that EIF2B5 participated in cancer progression and could become a biomarker for the prognosis of patients with liver cancer.

Indexed as

diagnosisEIF2B5liver cancerprognosis

Identifiers

PMID30538549
PMCPMC6255118
OpenAlexW2901750995

What OpenQuestion holds

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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.