Evidence map›Paper›PMID 33790626›Full record

ArticleInternational journal of general medicine2021

ARRDC3 as a Diagnostic and Prognostic Biomarker for Epithelial Ovarian Cancer Based on Data Mining.

Yanli Chen, Dan Tian, Xiaoqi Chen, Zhi Tang, Kuina Li, Zhijiong Huang, Yong Fu, Yanying Feng, Zhijun Yang

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. α-Arrestins and Their Functions: From Yeast to Human Health.International journal of molecular sciences · 2022
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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

9 authors at 1 institution in 1 country.

Yanli ChenDepartment of Gynecologic Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Dan TianDepartment of Gynecologic Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Xiaoqi ChenDepartment of Gynecologic Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.ORCID 0000-0001-7334-9981
Zhi TangDepartment of Gynecologic Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Kuina LiDepartment of Gynecologic Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Zhijiong HuangDepartment of Gynecologic Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Yong FuDepartment of Cardiopulmonary Center, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Yanying FengDepartment of Cardiopulmonary Center, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Zhijun YangDepartment of Gynecologic Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe dysregulation of arrestin domain containing 3 (ARRDC3) has an important effect on oncogenesis and tumor progression in many cancers, including renal cell carcinoma and breast cancer. However, the role of ARRDC3 in ovarian cancer (OC) has not been reported.

methodsThe present study explored the diagnostic and prognostic roles of ARRDC3 in ovarian cancer using GEPIA, ONCOMINE, GEO, and Kaplan-Meier Plotter databases for training and validation. Then, we conducted a stratified analysis for clinicopathological factors using Kaplan-Meier Plotter and GEPIA databases. To further explore the mechanisms, we also used the MIST database to visualize the protein-protein interaction network of ARRDC3 associated with OC. The gene-gene interaction network was visualized by GeneMANIA plugin in Cytoscape 3.8.0 software, and the associated co-expression genes of ARRDC3 were analyzed by the cBioPortal database. The 100 top co-expression genes chosen for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used by the DAVID website.

resultsA significant difference in ARRDC3 mRNA expression was found between OC and normal ovary tissues. ARRDC3 could potentially be implicated in the diagnosis of OC. A high ARRDC3 mRNA expression level was associated with poor overall survival and progression-free survival. However, no significance was reported in respect to post progression survival. Except for histology, which had no prognostic value for PPS in stratified analysis, stratified analysis of other factors had prognostic value for OS, PFS, and PPS. Interestingly, we found a positive correlation between ARRDC3 expression and CD8+ T cells, macrophages, neutrophils, and dendritic cells, indicating that ARRDC3 might be associated with immune infiltration of these immune cells. Co-expression genes enrichment analysis found that they were involved in the Renin-angiotensin system pathway.

conclusionDifferentially expressed ARRDC3 might be a potential prognostic and diagnostic marker in Ovarian Cancer.

Indexed as

biomarkerdiagnosisovarian neoplasmsprognosis

Identifiers

PMID33790626
PMCPMC7997607
OpenAlexW3137808471

What OpenQuestion holds

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Registered trials

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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.