Identification and expansion of cancer stem cells in tumor tissues and peripheral blood derived from gastric adenocarcinoma patients View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-01

AUTHORS

Tie Chen, Kun Yang, Jianhua Yu, Wentong Meng, Dandan Yuan, Feng Bi, Fang Liu, Jie Liu, Bing Dai, Xinzu Chen, Fang Wang, Fan Zeng, Hong Xu, Jiankun Hu, Xianming Mo

ABSTRACT

Gastric cancer is the fourth most common cancer worldwide, with a high rate of death and low 5-year survival rate. To date, there is a lack of efficient therapeutic protocols for gastric cancer. Recent studies suggest that cancer stem cells (CSCs) are responsible for tumor initiation, invasion, metastasis, and resistance to anticancer therapies. Thus, therapies that target gastric CSCs are attractive. However, CSCs in human gastric adenocarcinoma (GAC) have not been described. Here, we identify CSCs in tumor tissues and peripheral blood from GAC patients. CSCs of human GAC (GCSCs) that are isolated from tumor tissues and peripheral blood of patients carried CD44 and CD54 surface markers, generated tumors that highly resemble the original human tumors when injected into immunodeficient mice, differentiated into gastric epithelial cells in vitro, and self-renewed in vivo and in vitro. Our findings suggest that effective therapeutic protocols must target GCSCs. The capture of GCSCs from the circulation of GAC patients also shows great potential for identification of a critical cell population potentially responsible for tumor metastasis, and provides an effective protocol for early diagnosis and longitudinal monitoring of gastric cancer. More... »

PAGES

248

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/cr.2011.109

DOI

http://dx.doi.org/10.1038/cr.2011.109

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015418034

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21727908


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/cr.2011.109'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/cr.2011.109'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/cr.2011.109'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/cr.2011.109'


 

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