Evidence map›Paper›PMID 24551295›Full record

ArticleInternational journal of clinical and experimental pathology2014

Expression characteristics of CDC20 in gastric cancer and its correlation with poor prognosis.

Zhong-Yang Ding, Hao-Rong Wu, Jia-Ming Zhang, Guo-Rong Huang, Dong-Dong Ji

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Molecular insights for the tumor suppressor role of SPOP in prostate cancer.Biochimica et biophysica acta. Reviews on cancer · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. CDC20 promotes radioresistance of prostate cancer by activating Twist1 expression.Apoptosis : an international journal on programmed cell death · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. CDC20: a novel therapeutic target in cancer.American journal of translational research · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Connection Between CDC20 Expression and Hepatocellular Carcinoma Prognosis.Medical science monitor : international medical journal of experimental and clinical research · 2021
    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

5 authors at 2 institutions in 1 country.

Zhong-Yang DingDepartment of General Surgery, Wuxi People's Hospital Affiliated by Nanjing Medical University No. 299, Qingyang Road, Wuxi 214023, China.
Hao-Rong WuDepartment of General Surgery, The Second Affiliated Hospital of Soochow University No. 1055, Sanxiang Road, Suzhou, 215004, China.
Jia-Ming ZhangDepartment of General Surgery, Wuxi People's Hospital Affiliated by Nanjing Medical University No. 299, Qingyang Road, Wuxi 214023, China.
Guo-Rong HuangDepartment of General Surgery, Wuxi People's Hospital Affiliated by Nanjing Medical University No. 299, Qingyang Road, Wuxi 214023, China.
Dong-Dong JiDepartment of General Surgery, Wuxi People's Hospital Affiliated by Nanjing Medical University No. 299, Qingyang Road, Wuxi 214023, China.
Wuxi No.2 People's Hospital · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cell division cycle 20 homolog (CDC20) expression is increased in diverse human cancers and plays a vital role in tumorigenesis and progression. However, the clinical significance of CDC20 expression in gastric cancer (GC) remains largely unknown. The aim of this study was to investigate the clinicopathologic features and prognostic significance of CDC20 in GC. The CDC20 mRNA expression was measured by quantitative real-time reverse transcriptase-polymerase chain reaction (qRT-PCR). Immunohistochemistry (IHC) was used to detect the expression of CDC20 protein in 131 clinicopathologically characterized GC cases. The relationship between CDC20 expression and clinicopathological features was analyzed by appropriate statistics. Kaplan-Meier analysis and Cox proportional hazards regression models were used to investigate the correlation between CDC20 expression and prognosis of GC patients. The relative mRNA expression of CDC20 were significantly higher in GC tumor tissues than in the corresponding noncancerous tissues (P<0.001). Simultaneously, CDC20 protein expression was positively correlated with tumor size (P=0.02), histological grade (P=0.037), lymph node involvement (P=0.009), and TNM stage (P=0.015). Furthermore, Kaplan-Meier analysis indicated that patients with high CDC20 expression had poor overall survival (P<0.001). Multivariate analysis showed that high CDC20 expression was an independent predictor of overall survival. In conclusion, our data indicated that CDC20 upregulation was associated with aggressive progression and poor prognosis in GC. CDC20 was identified for the first time as an independent marker for predicting the clinical outcome of GC patients.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCdc20 ProteinsFemaleGene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateLymphatic MetastasisMaleMiddle AgedMultivariate AnalysisNeoplasm GradingBiomarkers, TumorCDC20 protein, humanCdc20 ProteinsRNA, MessengerCDC20gastric cancerimmunohistochemistry

Identifiers

PMID24551295
PMCPMC3925919
OpenAlexW189523112

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.