Evidence map›Paper›PMID 8871541›Full record

ArticleClinical & experimental metastasis1996

An in vitro invasion model for human renal cell carcinoma cell lines mimicking their metastatic abilities.

Y Nakayama, S Naito, M Ryuto, Y Hata, M Ono, K Sueishi, S Komiyama, H Itoh, M Kuwano

Abstract read
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In one paragraph

Article in Clinical & experimental metastasis, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Papillary renal cell carcinoma: a clinicopathological and whole-genome exon sequencing study.International journal of clinical and experimental pathology · 2015
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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

9 authors at 2 institutions in 1 country.

Y NakayamaDepartment of Biochemistry, Kyushu University School of Medicine, Fukuoka, Japan.
S Naito
M Ryuto
Y Hata
M Ono
K Sueishi
S Komiyama
H Itoh
M Kuwano
Kyushu University · JPUniversity of Occupational and Environmental Health Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a modified in vitro invasion assay system using monolayers of vascular endothelial cells. A type I collagen gel was formed in plastic dishes, and overlaid with type IV collagen. Calf pulmonary arterial endothelial (CPAE) cells were seeded onto these plates, and incubated until they reached confluence. Five human renal cell carcinoma cell lines with various metastatic potentials in vivo were then seeded on the monolayer CPAE cells, and their colony formation and invasion activities were examined for 9 days. At day 4, the highly metastatic cell lines increased the number of colony foci on monolayer CPAE cells several fold higher than their poorly metastatic counterpart. The horizontal spreading patterns were also different between poorly and highly metastatic cell lines. On day 9, the number of carcinoma foci that penetrated the monolayer of CPAE cells and type IV collagen sheets into type I collagen gels in highly metastatic cell lines greatly increased as compared with that of poorly metastatic cell lines. Our in vitro invasion assay using monolayer CPAE cells would be useful to evaluate protease activities and colony formation during invasion.

Indexed as

Neoplasm InvasivenessAnimalsCarcinoma, Renal CellCattleCollagenEndothelium, VascularHumansImmunoenzyme TechniquesKeratinsKidney NeoplasmsModels, BiologicalPulmonary ArteryTime FactorsTumor Cells, Culturedvon Willebrand FactorCollagenKeratinsvon Willebrand Factor

Identifiers

PMID8871541
OpenAlexW2000213355

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.