Evidence map›Paper›PMID 23758705›Full record

ArticleJournal of translational medicine2013

CDC20 overexpression predicts a poor prognosis for patients with colorectal cancer.

Wen-jing Wu, Kai-shun Hu, De-shen Wang, Zhao-lei Zeng, Dong-sheng Zhang, Dong-liang Chen, Long Bai, Rui-hua Xu

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% 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

95 citing papers in PubMed, 2 syntheses or guidelines pooled it, 144 citations in OpenAlex.

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35 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 1 country.

Wen-jing WuState Key Laboratory of Oncology in Southern China, Guangzhou 510060, China.
Kai-shun Hu
De-shen Wang
Zhao-lei Zeng
Dong-sheng Zhang
Dong-liang Chen
Long Bai
Rui-hua Xu
Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cell division cycle 20 homolog (CDC20) is an essential cofactor of the anaphase-promoting complex (APC/C). CDC20 overexpression has been detected in many types of human cancers; however, its clinical role in colorectal cancer remains unknown.

methodsWestern blotting and immunohistochemistry were used to compare CDC20 expression in adjacent non-cancerous, cancerous and liver metastatic tissues as well as in colon cancer cell lines and normal colon epithelial cell lines. Additionally, the correlation of CDC20 expression with patient clinical parameters and its diagnostic value were statistically analyzed.

resultsCDC20 was overexpressed in colon cancer cell lines/primary cancer tissues compared with normal colon epithelial cell lines/adjacent noncancerous tissue samples. Interestingly, CDC20 expression was further increased in metastatic liver tissues. CDC20 protein expression was significantly correlated with clinical stage (P = 0.008), N classification (P = 0.020), M classification (P = 0.013) and pathologic differentiation (P = 0.008). Patients with higher CDC20 expression had a shorter overall survival than those with lower CDC20 expression. Univariate and multivariate analyses indicated that CDC20 expression was an independent prognostic factor (P < 0.001).

conclusionCDC20 may serve as a potential prognostic biomarker of human colorectal cancer.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedCdc20 ProteinsCell DifferentiationCell Line, TumorColonic NeoplasmsFemaleHumansLiver NeoplasmsMaleMiddle AgedMultivariate AnalysisNeoplasm MetastasisPrognosisTreatment OutcomeCDC20 protein, humanCdc20 Proteins

Identifiers

PMID23758705
PMCPMC3691738
OpenAlexW2113300819

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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.