Evidence map›Paper›PMID 27469137›Full record

ArticleChinese journal of cancer2016

EYA4 gene functions as a prognostic marker and inhibits the growth of intrahepatic cholangiocarcinoma.

Xiao-Yi Hao, Jian-Peng Cai, Xin Liu, Wei Chen, Xun Hou, Dong Chen, Jia-Ming Lai, Li-Jian Liang, Xiao-Yu Yin

Open access · goldAbstract read
In one paragraph

Article in Chinese journal of cancer, 2016. 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
2.5field-weighted citation impact, top 11% 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, 15 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

9 authors at 1 institution in 1 country.

Xiao-Yi HaoDepartments of Pancreatobiliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, P. R. China.
Jian-Peng CaiDepartments of Pancreatobiliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, P. R. China.
Xin LiuDepartments of Pancreatobiliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, P. R. China.
Wei ChenDepartments of Pancreatobiliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, P. R. China.
Xun HouDepartments of Pancreatobiliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, P. R. China.
Dong ChenDepartments of Pancreatobiliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, P. R. China.
Jia-Ming LaiDepartments of Pancreatobiliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, P. R. China.
Li-Jian LiangDepartments of Pancreatobiliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, P. R. China.
Xiao-Yu YinDepartments of Pancreatobiliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, P. R. China. yinxy@medmail.com.cn.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe molecular prognostic markers and carcinogenesis of intrahepatic cholangiocarcinoma (ICC) have not been well documented. The purpose of this study was to investigate the prognostic value of the eyes absent homolog 4 (EYA4) gene in ICC and its biological effects on ICC growth in vitro and in vivo.

methodsOne hundred twelve patients with ICC who underwent hepatectomy were enrolled in the study. EYA4 mRNA and EYA4 protein levels in ICC and adjacent non-tumoral tissues were evaluated using real-time quantitative polymerase chain reaction and immunohistochemical staining, respectively. EYA4 protein levels in ICC cells were determined using western blot analysis. The associations between EYA4 expression and clinicopathologic features of ICC were analyzed. To identify independent prognostic factors, univariate and multivariate analyses were performed. The biological effects of EYA4 on ICC cells were evaluated by establishing stable EYA4-overexpressing transfectants in vitro, and EYA4's effects on tumor growth were evaluated by intra-tumoral injection of EYA4-expressing plasmids in a NOD/SCID murine model of xenograft tumors.

resultsICC tissues had significantly lower EYA4 mRNA and protein levels compared with adjacent non-tumoral tissues (both P < 0.001). Univariate and multivariate analyses showed that EYA4 protein level, tumor number, adjacent organ invasion, lymph node metastasis, and tumor differentiation were independent prognostic factors for disease-free survival and overall survival (all P < 0.05). In vitro, EYA4 overexpression inhibited tumor cell growth, foci formation, and cell invasiveness. In vivo, intra-tumoral injection of EYA4-expressing plasmids significantly inhibited ICC growth in the murine xenograft model compared with the control group (P < 0.05).

conclusionEYA4 gene functioned as a molecular prognostic marker in ICC, and its overexpression inhibited tumor growth in vitro and in vivo.

Indexed as

Cell ProliferationAdultAgedAnimalsApoptosisBile Duct NeoplasmsBile Ducts, IntrahepaticBiomarkers, TumorBlotting, WesternCell MovementCholangiocarcinomaFemaleFollow-Up StudiesHumansImmunoenzyme TechniquesMaleBiomarkers, TumorEYA4 protein, humanRNA, MessengerTrans-ActivatorsEYA4 geneIntrahepatic cholangiocarcinomaPrognostic factorSurgical resectionTumor suppressor gene

Identifiers

PMID27469137
PMCPMC4966169
OpenAlexW2503738966

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LicenceCC BY
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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.