Comparison of functional glycans between cancer stem cells and normal stem cells

التفاصيل البيبلوغرافية
العنوان: Comparison of functional glycans between cancer stem cells and normal stem cells
المؤلفون: Sasaki, Norihiko, Itakura, Yoko, Gomi, Fujiya, Hirano, Kazumi, Toyoda, Masashi, Ishiwata, Toshiyuki
المصدر: DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
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بيانات النشر: Universidad de Murcia. Departamento de Biología Celular e Histología, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Glycans, Tissue stem cell, Signaling pathway, Cancer stem cell, Pluripotent stem cell, 6 - Ciencias aplicadas::61 - Medicina::616 - Patología. Medicina clínica. Oncología [CDU]
الوصف: Cancer stem cells (CSCs) are a small group of cells within a tumor that preserve stemness and enhance regrowth of cancer cells. CSCs have important implications in resistance to conventional therapies and tumor relapse, although their detailed properties remain unknown. Thus, CSCs represent promising targets to improve cancer treatment. So far, a number of cell surface markers containing glycans have been exploited to identify and isolate CSCs. Cell surface glycans are well-known markers for specific cell types and also play important cellular roles, such as regulation of cell signaling. In normal stem cells, including embryonic and tissue stem cells, glycan markers in an undifferentiated state have been identified. These markers are mostly known to regulate signaling pathways required for maintenance of stemness. In contrast, CSC-specific glycans have not been well characterized yet. In this review, we summarize functional commonalities between CSCs and normal stem cells in glycan-mediated signaling pathways. Identification of CSC-specific glycans may lead to early diagnosis and radical treatment of cancer.
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::31d0ca08fa700d4a262ebfda6d0fe413Test
http://hdl.handle.net/10201/122227Test
حقوق: OPEN
رقم الانضمام: edsair.RECOLECTA.....31d0ca08fa700d4a262ebfda6d0fe413
قاعدة البيانات: OpenAIRE