Characterization of twenty-five ovarian tumour cell lines that phenocopy primary tumours View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Tan A. Ince, Aurea D. Sousa, Michelle A. Jones, J. Chuck Harrell, Elin S. Agoston, Marit Krohn, Laura M. Selfors, Wenbin Liu, Ken Chen, Mao Yong, Peter Buchwald, Bin Wang, Katherine S. Hale, Evan Cohick, Petra Sergent, Abigail Witt, Zhanna Kozhekbaeva, Sizhen Gao, Agoston T. Agoston, Melissa A. Merritt, Rosemary Foster, Bo R. Rueda, Christopher P. Crum, Joan S. Brugge, Gordon B. Mills

ABSTRACT

Currently available human tumour cell line panels consist of a small number of lines in each lineage that generally fail to retain the phenotype of the original patient tumour. Here we develop a cell culture medium that enables us to routinely establish cell lines from diverse subtypes of human ovarian cancers with >95% efficiency. Importantly, the 25 new ovarian tumour cell lines described here retain the genomic landscape, histopathology and molecular features of the original tumours. Furthermore, the molecular profile and drug response of these cell lines correlate with distinct groups of primary tumours with different outcomes. Thus, tumour cell lines derived using this methodology represent a significantly improved platform to study human tumour pathophysiology and response to therapy. More... »

PAGES

7419

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/ncomms8419

    DOI

    http://dx.doi.org/10.1038/ncomms8419

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1014491590

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26080861


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

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