Evidence map›Paper›PMID 38617932›Full record

ArticleHeliyon2024

Pan-cancer analysis of ARFs family and ARF5 promoted the progression of hepatocellular carcinoma.

Qian Li, Fang Li, Xinqiu Song, Ning Lu, Xintao Jing, Hua Wen, Peihan Ma, Hua Zhang, Wenzhu Yao, Xiaofei Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Hair follicle stem cell fate supports distinct clinical endotypes in hidradenitis suppurativa.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Article
  2. Article
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

11 authors at 3 institutions in 1 country.

Qian LiThe First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, Shaanxi, China.
Fang LiInstitute of Genetics and Development Biology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Xinqiu SongMedical College of Yan'an University, Yan'an, 716000, Shaanxi, China.
Ning LuThe First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, Shaanxi, China.
Xintao JingInstitute of Genetics and Development Biology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Hua WenThe First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, Shaanxi, China.
Peihan MaThe First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, Shaanxi, China.
Hua ZhangThe First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, Shaanxi, China.
Wenzhu YaoXi'an Medical University, Xi'an, 710021, Shaanxi, China.
Xiaofei WangBiomedical Experimental Center, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Mingxin ZhangThe First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, Shaanxi, China.
Xi'an Medical University · CNXi'an Jiaotong University · CNYan'an University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: ARF family proteins are a kind of small GTPases, which are involved in regulating a variety of basic functions of cells. In recent years, the role and molecular regulatory mechanisms of ARFs in tumor progression have received increasing attention, and research reports on most of their family members are increasing. However, research on the clinical and pathological relevance of ARF5 in cancer, especially in hepatocellular carcinoma, still needs to be improved. Methods: RNA-seq data in the Cancer Genome Atlas (TCGA) and genome tissue expression (GTEx) databases were used to analyze the expression and pathological data of ARFs family in Pan-cancer. Kaplan-Meier and Cox regression were used for prognostic analysis of ARF5 and Pan-cancer. Combined with ImmuCellAI database and TIMER2 database, the relationship between ARF5 expression and immune cell tumor infiltration in hepatocellular carcinoma (HCC) was analyzed. WGCNA is used to construct the co-expression gene network related to ARF5 expression in HCC and screen important modules and central genes. GO and KEGG path enrichment analysis were carried out for the genes in the modules with clinical significance. GSEA analysis was performed to take into account the role of genes with small differences. Finally, ceRNA network analysis was used to explore the molecular mechanism of miRNAs and lncRNAs regulating ARF5 expression. Results: ARFs family (ARF1, ARF3, ARF4, ARF5, ARF6) are generally highly expressed in Pan-cancer. ARF5 is significantly highly expressed in 29 cancers, and the high expression of ARF5 in HCC patients is significantly negatively correlated with OS, DFI, PFI and DSS, which may lead to cancer deterioration by participating in tumor immune infiltration of HCC. Through WGCNA analysis, the expression of ARF5 in HCC may be involved in many cellular processes that consume a lot of energy, such as ribosome formation, RNA and protein synthesis and lipids, as well as COVID-19, nonalcoholic fatty liver, neurodegenerative diseases and other disease pathways. Conclusion: ARFs, especially ARF5, are overexpressed in many human tumors. This study shows for the first time that ARF5 is significantly correlated with the poor prognosis of HCC patients, which may play a role as an oncogene, suggesting that ARF5 has the potential as a biomarker for the diagnosis and treatment of HCC.

Indexed as

ARF5ARFsHepatocellular carcinomaPan-cancerWGCNA

Identifiers

PMID38617932
PMCPMC11015141
OpenAlexW4394014613

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.