Evidence map›Paper›PMID 28270302›Full record

ReviewBMB reports2017

Cancer stem cell surface markers on normal stem cells.

Won-Tae Kim, Chun Jeih Ryu

Open access · goldAbstract readReview
In one paragraph

Review in BMB reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
187citing papers in PubMed, 3 pooled it
11.1field-weighted citation impact, top 1% 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

187 citing papers in PubMed, 3 syntheses or guidelines pooled it, 335 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. The metabolic profiles of cancer stem cells.Stem cell research & therapy · 2026
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127 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Won-Tae KimInstitute of Anticancer Medicine Development, Department of Integrative Bioscience and Biotechnology, Sejong University, Seoul 05006, Korea.
Chun Jeih RyuInstitute of Anticancer Medicine Development, Department of Integrative Bioscience and Biotechnology, Sejong University, Seoul 05006, Korea.
Sejong University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cancer stem cell (CSC) hypothesis has captured the attention of many scientists. It is believed that elimination of CSCs could possibly eradicate the whole cancer. CSC surface markers provide molecular targeted therapies for various cancers, using therapeutic antibodies specific for the CSC surface markers. Various CSC surface markers have been identified and published. Interestingly, most of the markers used to identify CSCs are derived from surface markers present on human embryonic stem cells (hESCs) or adult stem cells. In this review, we classify the currently known 40 CSC surface markers into 3 different categories, in terms of their expression in hESCs, adult stem cells, and normal tissue cells. Approximately 73% of current CSC surface markers appear to be present on embryonic or adult stem cells, and they are rarely expressed on normal tissue cells. The remaining CSC surface markers are considerably expressed even in normal tissue cells, and some of them have been extensively validated as CSC surface markers by various research groups. We discuss the significance of the categorized CSC surface markers, and provide insight into why surface markers on hESCs are an attractive source to find novel surface markers on CSCs. [BMB Reports 2017; 50(6): 285-298].

Indexed as

Antigens, SurfaceBiomarkers, TumorDrug Resistance, NeoplasmEmbryonic Stem CellsHumansNeoplastic Stem CellsSignal TransductionAntigens, SurfaceBiomarkers, Tumor

Identifiers

PMID28270302
PMCPMC5498139
OpenAlexW2595717913

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.