Evidence map›Paper›PMID 20686847›Full record

ArticleDigestive diseases and sciences2011

Over-expression of Ephb4 is associated with carcinogenesis of gastric cancer.

M Li, Z W Zhao, Y Zhang, Y Xin

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Article in Digestive diseases and sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.6field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

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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

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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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  12. The kallikrein-related peptidase 13 (KLK13) gene is substantially up-regulated after exposure of gastric cancer cells to antineoplastic agents.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2012
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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

M LiDepartment of Medical Oncology, The Second Affiliated Hospital, Dalian Medical University, Dalian, Liaoning Province, China.
Z W Zhao
Y Zhang
Y Xin
Dalian Medical University · CNChina Medical University · CNSecond Affiliated Hospital of Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer is one of the most frequently diagnosed malignancies in the world. The gene expression profile and molecular grouping of gastric cancer has been a challenging task due to its inherent complexity and variation among individuals.

aimsTo determine the molecular mechanism associated with gastric carcinogenesis.

methodsWe analyzed the gene expression profiles of 20 cancerous tissues and their tumor-adjacent tissue from patients with gastric cancer by using a 14 K cDNA microarray. The differentially expressed genes and their products were verified by semiquantitative reverse transcription PCR (RT-PCR), western blotting and immunohistochemistry of gastric cancer and normal tissue samples.

resultsA total of 69 genes were found to be differentially regulated in the cancerous tissue. Among them, genes such as CDH17, ETV4, S100A6, S100A11, Ephb4, and KLK10 were confirmed by RT-PCR to be up-regulated, while genes such as NK4 and PPP2R1B were down-regulated. Western blotting and immunohistochemistry indicated that Ephb4 was over-expressed and localized to the cytoplasm of gastric cancer cells. Moreover, Ephb4 protein was observed as being significantly related to tumor size and pN category (p = 0.001 and 0.007, respectively).

conclusionsThese newly identified genes might provide a valuable resource for understanding the molecular mechanism associated with the carcinogenesis of gastric cancer and for finding potential diagnostic markers of gastric cancer.

Indexed as

Adenovirus E1A ProteinsAdultAgedCadherinsCarcinomaCell Cycle ProteinsCell Transformation, NeoplasticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHepatocyte Growth FactorHumansKallikreinsMaleMiddle AgedProtein Phosphatase 2Adenovirus E1A ProteinsCadherinsCDH17 protein, humanCell Cycle ProteinsETV4 protein, humanHepatocyte Growth FactorHGF protein, humanKallikreinsKLK10 protein, humanPPP2R1B protein, humanProtein Phosphatase 2Proto-Oncogene ProteinsProto-Oncogene Proteins c-etsReceptor, EphB4S100A11 protein, humanS100A6 protein, humanS100 Calcium Binding Protein A6S100 Proteins

Identifiers

PMID20686847
OpenAlexW2057819339

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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.