Surface Molecular Markers of Cancer Stem Cells: Computation Analysis of Full-Text Scientific Articles View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11-12

AUTHORS

R. E. Suvorov, Ya. S. Kim, A. M. Gisina, J. H. Chiang, K. N. Yarygin, A. Yu. Lupatov

ABSTRACT

The data on cancer stem cell surface molecular markers of 27 most common cancer diseases were analyzed using natural language processing and data mining techniques. As a source, 8933 full-text open-access English-language scientific articles available on the Internet were used. Text mining was based on searching for three entities within one sentence, namely a tumor name, a phrase "cancer stem cells" or its synonym, and a name of differentiation cluster molecule. As a result, a list of surface molecular markers was formed that included markers most frequently mentioned in the context of certain tumor diseases and used in studies of human and animal tumor cells. Based on similarity of the associated markers, the tumors were divided into five groups. More... »

PAGES

1-6

References to SciGraph publications

  • 2017-01. Cancer stem cell molecular markers verified in vivo in BIOCHEMISTRY (MOSCOW), SUPPLEMENT SERIES B: BIOMEDICAL CHEMISTRY
  • 2013-12. Mechanisms of chemoresistance in cancer stem cells in CLINICAL AND TRANSLATIONAL MEDICINE
  • 2001-11. Stem cells, cancer, and cancer stem cells in NATURE
  • 2010-03. CD24: from A to Z in CELLULAR & MOLECULAR IMMUNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10517-018-4302-8

    DOI

    http://dx.doi.org/10.1007/s10517-018-4302-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1109810700

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30417283


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