Evidence map›Paper›PMID 28755423›Full record

ArticleThoracic cancer2017

Epac1, PDE4, and PKC protein expression and their association with AKAP95, Cx43, and cyclinD2/E1 in breast cancer tissues.

Ping Huang, Qian Sun, Wenxin Zhuang, Kuan Peng, Dai Wang, Youliang Yao, Dongbei Guo, Lu Zhang, Chuhan Shen, Mengyun Sun and 3 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. The Role of Epac in Cancer Progression.International journal of molecular sciences · 2020
    Review
  5. Review
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

13 authors at 2 institutions in 1 country.

Ping HuangDepartment of Gynecology, Qilu Hospital of Shandong University, Jinan, China.
Qian SunState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Wenxin ZhuangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Kuan PengState 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.
Lu ZhangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Chuhan ShenState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Mengyun SunState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Chaoying TangState 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 · CNQilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was conducted to investigate the exchange protein directly activated by cAMP (Epac1), PDE4, and PKC expression in breast cancer tissues, and the correlation between these proteins and AKAP95, Cx43, cyclin D2, and cyclin E1.

methodsPV-9000 two-step immunohistochemistry was used to analyze protein expression.

resultsThe positive rate of Epac1 protein expression in breast cancer tissues (58%) was higher than in para-carcinoma tissues (10%) (P < 0.05). There were no significant differences in the positive rates of PDE4 and PKC expression between breast cancer and para-carcinoma tissues (P > 0.05). The positive expression rate of PDE4 was higher in the P53 protein positive group compared to the P53 negative group (P < 0.05). Correlations between Epac1 and cyclin D2, PDE4 and cyclin D2, AKAP95 and PKC, Cx43 and PKC, and cyclin D2 and PKC proteins were observed (P < 0.05).

conclusionEpac1 expression in breast cancer tissues was increased, suggesting that the protein may be involved in the development of breast cancer. Correlations between Epac1 and cyclin D2, PDE4 and cyclin D2, AKAP95 and PKC, Cx43 and PKC, and cyclin D2 and PKC proteins suggested synergistic effects among these proteins in the development of breast cancer.

Indexed as

AdultAgedAged, 80 and overA Kinase Anchor ProteinsBreast NeoplasmsConnexin 43Cyclic Nucleotide Phosphodiesterases, Type 4Cyclin D2Cyclin ECyclinsFemaleGene Expression Regulation, NeoplasticGuanine Nucleotide Exchange FactorsHumansMiddle AgedOncogene ProteinsAKAP8 protein, humanA Kinase Anchor ProteinsCCND2 protein, humanCCNE1 protein, humanConnexin 43Cyclic Nucleotide Phosphodiesterases, Type 4Cyclin D2Cyclin ECyclinsGJA1 protein, humanGuanine Nucleotide Exchange FactorsOncogene ProteinsPDE4A protein, humanProtein Kinase CRAPGEF3 protein, humanAKAP95association analysisbreast cancer tissueEpac1PDE4

Identifiers

PMID28755423
PMCPMC5582487
OpenAlexW2741751896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.