Evidence map›Paper›PMID 28771997›Full record

ArticleThoracic cancer2017

Epac1, PDE4, and PKC protein expression and their correlation with AKAP95 and Cx43 in esophagus cancer tissues.

Zhiyu Guan, Winxin Zhuang, Hui Lei, Dai Wang, Youliang Yao, Dongbei Guo, Qian Sun, Yun Chen, Xiaoyi Chen, Hongyan Lin and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Thoracic cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Correlations of the expression of Cx43, SCFWorld journal of gastrointestinal oncology · 2025
    Article
  2. Review
  3. 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

12 authors at 2 institutions in 1 country.

Zhiyu GuanDepartment of Thoracic Surgery, The Second Hospital of Tianjin Medical University, Tianjin, China.
Winxin ZhuangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Hui LeiState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Dai WangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Youliang YaoState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Dongbei GuoState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Qian SunState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Yun ChenState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Xiaoyi ChenState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Hongyan LinState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Bogang TengState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Yongxing ZhangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Xiamen University · CNSecond Hospital of Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examined the expression of exchange protein directly activated by cAMP1 (Epac1), PDE4, and PKC in esophageal cancer tissues, and analyzed the association of each protein with the pathological parameters of the samples.

methodsEpac1, PDE4, and PKC protein expression was evaluated by PV-9000 two-step immunohistochemical techniques in 51 esophageal cancer specimens and 10 para-carcinoma tissues.

resultsThe positive expression rates of Epac1 and PKC in esophageal cancer tissues (62.7% and 68.6%, respectively) were higher compared to those in para-carcinoma tissues (20% and 20%, respectively) (P < 0.05). The positive expression rate of PDE4 in esophageal cancer tissues (54.1%) was higher than in para-carcinoma tissues (30%), (P > 0.05). Epac1, PDE4, and PKC protein expression levels were not associated with the extent of tumor differentiation and/or lymph node metastasis (P > 0.05). Epac1 protein expression levels correlated with PDE4, PKC, and AKAP95 protein expression levels. In addition, there was a correlation between PKC and Cx43 protein levels (P < 0.05).

conclusionThe expression rates of Epac1, PDE4, and PKC protein in esophageal cancer tissues were significantly higher compared to the rates in para-carcinoma tissues, suggesting an association between these proteins and the development and progression of esophageal cancer. The correlations between these proteins also revealed that they may exert a synergistic effect during the development of esophageal cancer.

Indexed as

A Kinase Anchor ProteinsConnexin 43Cyclic Nucleotide Phosphodiesterases, Type 4Esophageal NeoplasmsFemaleGene Expression Regulation, NeoplasticGuanine Nucleotide Exchange FactorsHumansLymphatic MetastasisMaleProtein Kinase CUp-RegulationAKAP8 protein, humanA Kinase Anchor ProteinsConnexin 43Cyclic Nucleotide Phosphodiesterases, Type 4Guanine Nucleotide Exchange FactorsProtein Kinase CRAPGEF3 protein, humanCorrelation analysisEpac1esophageal cancerPDE4PKC

Identifiers

PMID28771997
PMCPMC5668522
OpenAlexW2743013361

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.