Evidence map›Paper›PMID 25400779›Full record

ArticleInternational journal of clinical and experimental pathology2014

Epithelial-to-mesenchymal transition in human esophageal cancer associates with tumor progression and patient's survival.

Jian Liu, Lujun Chen, Haifeng Deng, Bin Xu, Min Li, Xiao Zheng, Changping Wu, Jingting Jiang

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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 22% 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, 26 citations in OpenAlex.

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  4. STAT1/IFIT2 signaling pathway is involved in PD-L1-mediated epithelial-to-mesenchymal transition in human esophageal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Article
  5. Cancer stem-like cells contribute to paclitaxel resistance in esophageal squamous cell carcinoma.International journal of clinical and experimental pathology · 2022
    Article
  6. Review
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  11. Cancer stem cell mobilization and therapeutic targeting of the 5T4 oncofetal antigen.Therapeutic advances in vaccines and immunotherapy · 2019
    Review
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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

8 authors at 1 institution in 1 country.

Jian LiuDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Lujun ChenDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Haifeng DengDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Bin XuDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Min LiDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Xiao ZhengDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Changping WuDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Jingting JiangDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epithelial-mesenchymal transition (EMT) is an essential step in invasion and metastasis of human cancers. Identification of EMT status would help us to properly understand the mechanism of cancer metastasis and progression. In the present study, tissue microarray and immunohistochemical staining of two important markers, E-cadherin and Vimentin, were used to characterize the EMT status in human esophageal cancer. We selected the appropriate cut-off values of expression levels of E-cadherin and Vimentin, and found 63 out of 105 cases of esophageal cancers underwent EMT. And we also found that in the subgroup with (T₃ + T₄), the ratio of patients undergoing EMT was significantly higher than that in the subgroup with (T₁ + T₂) (P = 0.0097), and in the subgroup with metastasis, the ratio of patients undergoing EMT was significantly higher than that in the subgroup with no metastasis (P = 0.0253). The log-rank survival analysis showed that the overall survival rate of the patients undergoing EMT was significantly poorer than that of the patients with wide type status (P = 0.0278, HR = 2.470, 95% CI: 1.971~2.970). In the COX model analysis, we also found that the EMT status of the esophageal cancer patients could be used as an independent risk factor for the prediction of prognosis of this malignancy (P = 0.026, HR = 2.306, 95% CI: 1.103~4.824). Thus, our present study successfully established a method by using tissue microarray and the markers, E-cadherin and Vimentin, to conveniently and properly identify the EMT status in human esophageal cancer, and revealed that the EMT status significantly associated with invasion, metastasis and prognosis in this malignancy.

Indexed as

Epithelial-Mesenchymal TransitionAntigens, CDBiomarkers, TumorCadherinsEsophageal NeoplasmsFemaleHumansImmunohistochemistryMaleMiddle AgedNeoplasm StagingPredictive Value of TestsProportional Hazards ModelsRisk FactorsTime FactorsTissue Array AnalysisAntigens, CDBiomarkers, TumorCadherinsCDH1 protein, humanVimentinEpithelial-to-mesenchymal transitionesophageal cancerimmunohistochemistrytissue microarray

Identifiers

PMID25400779
PMCPMC4230146
OpenAlexW288335600

What OpenQuestion holds

Textmetadata
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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.