Evidence map›Paper›PMID 21392166›Full record

ArticleCancer science2011

Combination use of anti-CD133 antibody and SSA lectin can effectively enrich cells with high tumorigenicity.

Kenta Moriwaki, Kumiko Okudo, Naotsugu Haraguchi, Shunsaku Takeishi, Hiromichi Sawaki, Hisashi Narimatsu, Masahiro Tanemura, Hideshi Ishii, Masaki Mori, Eiji Miyoshi

Open access · bronzeAbstract read
In one paragraph

Article in Cancer science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 18 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

10 authors at 2 institutions in 1 country.

Kenta MoriwakiDepartment of Molecular Biochemistry and Clinical Investigation, Osaka University Graduate School of Medicine, Osaka, Japan.
Kumiko Okudo
Naotsugu Haraguchi
Shunsaku Takeishi
Hiromichi Sawaki
Hisashi Narimatsu
Masahiro Tanemura
Hideshi Ishii
Masaki Mori
Eiji Miyoshi
The University of Osaka · JPNational Institute of Advanced Industrial Science and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycans exhibit characteristic changes in their structures during development and thus have been used as markers for stem/progenitor cells. However, the glycan structures unique to cancer stem cells (CSC) remain unknown. In the present study, we examined glycan structures in CD133+ CD13+ CSC, which were recently found to have a high CSC ability, by means of a lectin microarray. Seven sialylated glycan-recognizing lectins, MAL-I, SNA, SSA, TJA-I, ACG, ABA and MAH, showed higher affinity to CD133+ CD13+ CSC than CD133+ cells with a lower CSC ability. In addition, we demonstrated that CD133+ SSA+ cells isolated from Huh7 cells had a significantly higher ability to form tumors in non-obese diabetic/severe combined immunodeficiency disease (NOD/SCID) mice and spheres under serum-free conditions than CD133+ SSA- cells. These results suggest that hepatic CSC highly express sialylated glycans and that SSA lectin can be used as a tool for isolating CSC. This study is the first report to demonstrate the characteristic glycan structures in CSC and to indicate a new methodology involving lectins for isolating CSC.

Indexed as

LectinsAC133 AntigenAnimalsAntibodiesAntigens, CDBiomarkers, TumorCD13 AntigensCell SeparationFlow CytometryGlycoproteinsMiceMice, Inbred NODMice, SCIDMicroarray AnalysisNeoplastic Stem CellsPeptidesAC133 AntigenAntibodiesAntigens, CDBiomarkers, TumorCD13 AntigensGlycoproteinsLectinsPeptidesPolysaccharidesProm1 protein, mouse

Identifiers

PMID21392166
PMCPMC11158748
OpenAlexW2020765352

What OpenQuestion holds

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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.