Evidence map›Paper›PMID 25901194›Full record

ArticleAmerican journal of translational research2015

ADP-ribosylation factor-like 4C (ARL4C), a novel ovarian cancer metastasis suppressor, identified by integrated genomics.

Dan Su, Dionyssios Katsaros, Shenhua Xu, Haiyan Xu, Yun Gao, Nicoletta Biglia, Jianguo Feng, Lisha Ying, Ping Zhang, Chiara Benedetto and 1 more

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-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

16 citing papers in PubMed, 18 citations in OpenAlex.

  1. Implications of ADP-Ribosylation Factor-Like Protein 4C (ARL4C) in Human Neoplasia With Special Emphasis on Ameloblastoma: A Scoping Review.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
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  8. The Role ofFrontiers in oncology · 2020
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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

11 authors at 5 institutions in 5 countries.

Dan SuCancer Research Institute, Zhejiang Cancer Hospital Hangzhou 310022, Zhejiang, China.
Dionyssios KatsarosGynecologic Oncology and Breast Cancer Unit, S. Anna Hospital Turin 10100, Italy.
Shenhua XuCancer Research Institute, Zhejiang Cancer Hospital Hangzhou 310022, Zhejiang, China.
Haiyan XuCancer Research Institute, Zhejiang Cancer Hospital Hangzhou 310022, Zhejiang, China.
Yun GaoCancer Research Institute, Zhejiang Cancer Hospital Hangzhou 310022, Zhejiang, China.
Nicoletta BigliaObstetrics and Gynecology and Breast Cancer Unit, Mauriziano Hospital, University of Turin Torino 10100, Italy.
Jianguo FengCancer Research Institute, Zhejiang Cancer Hospital Hangzhou 310022, Zhejiang, China.
Lisha YingCancer Research Institute, Zhejiang Cancer Hospital Hangzhou 310022, Zhejiang, China.
Ping ZhangCancer Research Institute, Zhejiang Cancer Hospital Hangzhou 310022, Zhejiang, China.
Chiara BenedettoDepartment of Gynaecology and Obstetrics, University of Turin Turin 10100, Italy.
Herbert YuCancer Epidemiology Program, University of Hawaii Cancer Center Hawaii 96813, USA.
Zhejiang Cancer Hospital · CNA. O. Ordine Mauriziano di Torino · ITCancer Center of Hawaii · USDepartment of Medical Sciences · BYSt. Anna Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the molecular mechanisms involving the initiation, progression, and metastasis of ovarian cancer is important for the prevention, detection, and treatment of ovarian cancer. In this study, two ovarian cancer cell lines, HO-8910 and its derivative HO-8910PM with highly metastatic potential, were applied to comparative genomic hybridization (CGH) analysis. We found 14 chromosome fragments with different copy numbers between the two cell lines, one (2q36.1-37.3) of which was confirmed to be one-copy loss in HO-8910PM by fluorescent in situ hybridization (FISH). Using the microarray data on gene expression profiles from these cell lines, 6 significantly expression-decreased genes located on 2q36.1-37.3 in HO-8910PM were identified. Of the 6 genes, ARL4C was identified as a novel ovarian cancer-related gene using integrated molecular and genomic analyses. ARL4C mRNA expression was validated by quantitative PCR to be markedly decreased in HO-8910PM cells, compared to that in HO-8910. Both overexpression and knockdown of ARL4C demonstrated that low ARL4C expression promotes the migration but not influences proliferation capability of ovarian cancer cells in vitro, indicating its specific role in ovarian cancer progression. Furthermore, ovarian cancer patients with medium and high expression of ARL4C mRNA had a favorable prognosis compared to those with low expression, suggesting the ARL4C could be a potential predictor for ovarian cancer prognosis.

Indexed as

ARL4CgenomicsmetastasisOvarian cancerprognosistumor cell biology

Identifiers

PMID25901194
PMCPMC4399089
OpenAlexW254332586

What OpenQuestion holds

Textmetadata
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.