Cancer stem cells in colorectal cancer from pathogenesis to therapy: Controversies and perspectives

doi:10.3748/wjg.v20.i4.923

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 20, Issue 4

This Article

(389)

(352)

(0)

(16019)

(83)

Peer-Review Report of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

- Full Article with Cover (PDF)
- Full Article (XML)

Topic Highlight

World J Gastroenterol. Jan 28, 2014; 20(4): 923-942
Published online Jan 28, 2014. doi: 10.3748/wjg.v20.i4.923

Full Size Figure Download Figure

Figure 3 Advantages of a cancer stem cell-specific therapy compared to conventional anticancer therapies. The current anticancer drugs wipe out most of the bulk population but the surviving cancer stem cells (CSCs) can repopulate the tumor. Specific targeting of CSCs is essential for regression and complete eradication of the tumor.

Citation: Fanali C, Lucchetti D, Farina M, Corbi M, Cufino V, Cittadini A, Sgambato A. Cancer stem cells in colorectal cancer from pathogenesis to therapy: Controversies and perspectives. World J Gastroenterol 2014; 20(4): 923-942
URL: https://www.wjgnet.com/1007-9327/full/v20/i4/923.htm
DOI: https://dx.doi.org/10.3748/wjg.v20.i4.923

Fanali C, Lucchetti D, Farina M, Corbi M, Cufino V, Cittadini A, Sgambato A. Cancer stem cells in colorectal cancer from pathogenesis to therapy: Controversies and perspectives. World J Gastroenterol 2014; 20(4): 923-942 [PMID: 24574766 DOI: 10.3748/wjg.v20.i4.923]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.