Evidence map›Paper›PMID 19941073›Full record

ArticleDigestive diseases and sciences2010

EpCAM: a potential antimetastatic target for gastric cancer.

Wenqi Du, Hongzan Ji, Shanshan Cao, Li Wang, Feihu Bai, Jie Liu, Daiming Fan

RetractedAbstract readRetracted Publication
PubMed Publisher
In one paragraph

Article in Digestive diseases and sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Wenqi DuState Key Laboratory of Cancer Biology, Digestive Diseases of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, People's Republic of China.
Hongzan Ji
Shanshan Cao
Li Wang
Feihu Bai
Jie Liu
Daiming Fan
Air Force Medical University · CNXijing Hospital · CNHuashan Hospital · CNNanjing General Hospital of Nanjing Military Command · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEpithelial cellular adhesion molecule (EpCAM) is an attractive immunotherapeutic target to overcome metastasis of a variety of epithelium-oriented cancers. Edrecolomab, one kind of EpCAM monoclonal antibody (Panorex), has been approved for clinical application as postoperative adjuvant therapy in breast and colorectal cancer. However, the role of EpCAM in gastric cancer metastasis remains unclear.

resultsEpCAM was found to be more highly overexpressed in metastatic gastric cancer than in nonmetastatic samples by immunohistochemistry staining. The expression level of EpCAM in gastric cancer cell lines was determined by reverse-transcription polymerase chain reaction (RT-PCR) and Western blotting, respectively. Downregulation of EpCAM by small interfering RNA (siRNA) significantly suppressed in vitro adhesive, invasive, and migratory and in vivo metastatic abilities of gastric cancer cells.

conclusionWe provide first evidence that EpCAM contributes to the migration of gastric cancer, suggesting that EpCAM-targeted therapy might be a promising strategy in metastatic gastric cancer.

Indexed as

AnimalsAntigens, NeoplasmCell Adhesion MoleculesCell Line, TumorDrug Delivery SystemsEpithelial Cell Adhesion MoleculeGene Expression Regulation, NeoplasticHumansMiceMice, Inbred BALB CMice, NudeNeoplasm MetastasisRNA InterferenceRNA, MessengerRNA, Small InterferingStomach NeoplasmsAntigens, NeoplasmCell Adhesion MoleculesEpithelial Cell Adhesion MoleculeRNA, MessengerRNA, Small Interfering

Identifiers

PMID19941073
OpenAlexW2013064344

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.