Evidence map›Paper›PMID 11314035›Full record

ArticleOncogene2001

A nude mice model of human rhabdomyosarcoma lung metastases for evaluating the role of polysialic acids in the metastatic process.

L Daniel, P Durbec, E Gautherot, E Rouvier, G Rougon, D Figarella-Branger

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In one paragraph

Article in Oncogene, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 78 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

L DanielLaboratoire de Biopathologie Nerveuse et Musculaire (JE2053). Institut de Biologie du Développement de Marseille, Marseille cedex 05, France.
P Durbec
E Gautherot
E Rouvier
G Rougon
D Figarella-Branger
Institut de Biologie du Développement Marseille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PSA is an oncodevelopmental antigen usually expressed in human tumors with high metastatic potential. Here we set up a metastatic model in nude mice by using TE671 cells, which strongly express PSA-NCAM. We observed the formation of lung metastases when TE671 cells were injected intravenously, intramuscularly, and intraperitoneally, but not subcutaneously. Intraperitoneal injections also induced peritoneal carcinosis, ascites, and liver metastases. To evaluate the putative role of PSA in the metastatic process we used a specific cleavage of PSA on NCAM by endoneuraminidase-N on intraperitoneal primary tumors. Mice with primary intramuscular tumors were taken as control. Repeated injections of endoneuraminidase-N led to a decrease in PSA expression in primary intraperitoneal nodules and ascites but not in intramuscular primary tumors. Endoneuraminidase-N also increased the delay in ascitic formation and decreased the number of lung or liver metastases in the case of intraperitoneal tumors but not in the case of intramuscular tumors. When metastases occurred in endoneuraminidase-N injected animals, they strongly expressed PSA-NCAM. Therefore, we established a relationship between PSA expression on the surface of primary tumor cells and the metastatic process.

Indexed as

Neural Cell Adhesion Molecule L1AnimalsAscitesDisease Models, AnimalGlycoside HydrolasesHumansLung NeoplasmsMiceMice, NudeNeoplasm MetastasisNeural Cell Adhesion MoleculesRhabdomyosarcomaSialic Acidsendo-alpha-sialidaseGlycoside HydrolasesNeural Cell Adhesion Molecule L1Neural Cell Adhesion Moleculespolysialyl neural cell adhesion moleculeSialic Acids

Identifiers

PMID11314035
OpenAlexW2323447901

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.