Evidence map›Paper›PMID 27597445›Full record

ArticleScientific reports2016

Genotypes of cancer stem cells characterized by epithelial-to-mesenchymal transition and proliferation related functions.

Chueh-Lin Hsu, Feng-Hsiang Chung, Chih-Hao Chen, Tzu-Ting Hsu, Szu-Mam Liu, Dao-Sheng Chung, Ya-Fen Hsu, Chien-Lung Chen, Nianhan Ma, Hoong-Chien Lee

Abstract read
In one paragraph

Article in Scientific reports, 2016. 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
–field-weighted citation impact
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.

  1. Article
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  3. Review
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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.

Chueh-Lin HsuInstitute of Systems Biology and Bioinformatics, Department of Biomedical Science and Engineering, National Central University, Zhongli, 32001, Taiwan.
Feng-Hsiang ChungInstitute of Systems Biology and Bioinformatics, Department of Biomedical Science and Engineering, National Central University, Zhongli, 32001, Taiwan.
Chih-Hao ChenInstitute of Systems Biology and Bioinformatics, Department of Biomedical Science and Engineering, National Central University, Zhongli, 32001, Taiwan.
Tzu-Ting HsuInstitute of Systems Biology and Bioinformatics, Department of Biomedical Science and Engineering, National Central University, Zhongli, 32001, Taiwan.
Szu-Mam LiuInstitute of Systems Biology and Bioinformatics, Department of Biomedical Science and Engineering, National Central University, Zhongli, 32001, Taiwan.
Dao-Sheng ChungDepartment of Radiation Oncology, Landseed Hospital, Taoyuan, 324, Taiwan.
Ya-Fen HsuDepartment of Surgery, Landseed Hospital, Taoyuan, 324, Taiwan.
Chien-Lung ChenDepartment of Nephrology, Landseed Hospital, Taoyuan, 324, Taiwan.
Nianhan MaInstitute of Systems Biology and Bioinformatics, Department of Biomedical Science and Engineering, National Central University, Zhongli, 32001, Taiwan.
Hoong-Chien LeeInstitute of Systems Biology and Bioinformatics, Department of Biomedical Science and Engineering, National Central University, Zhongli, 32001, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs), or cancer cells with stem cell-like properties, generally exhibit drug resistance and have highly potent cancer inducing capabilities. Genome-wide expression data collected at public repositories over the last few years provide excellent material for studies that can lead to insights concerning the molecular and functional characteristics of CSCs. Here, we conducted functional genomic studies of CSC based on fourteen PCA-screened high quality public CSC whole genome gene expression datasets and, as control, four high quality non-stem-like cancer cell and non-cancerous stem cell datasets from the Gene Expression Omnibus database. A total of 6,002 molecular signatures were taken from the Molecular Signatures Database and used to characterize the datasets, which, under two-way hierarchical clustering, formed three genotypes. Type 1, consisting of mainly glia CSCs, had significantly enhanced proliferation, and significantly suppressed epithelial-mesenchymal transition (EMT), related functions. Type 2, mainly breast CSCs, had significantly enhanced EMT, but not proliferation, related functions. Type 3, composed of ovarian, prostate, and colon CSCs, had significantly suppressed proliferation related functions and mixed expressions on EMT related functions.

Indexed as

Cell ProliferationCluster AnalysisDatabases, GeneticEpithelial-Mesenchymal TransitionGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGenotypeHumansNeoplastic Stem CellsPrincipal Component Analysis

Identifiers

PMID27597445
PMCPMC5011650

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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.