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ISSN: 2157-7633

Journal of Stem Cell Research & Therapy
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Review Article

Systems and Network Pharmacology Approaches to Cancer Stem Cells Research and Therapy

Irfana Muqbil1, Ginny W Bao2, Rkya El-Kharraj2, Minjel Shah2, Ramzi M Mohammad2,3, Fazlul H Sarkar2,4 and Asfar S Azmi4*

1Department of Biochemistry, Aligarh Muslim University, Aligarh, Uttar Pradesh, India

2Department of Oncology, Barbara Ann Karmanos Cancer Institute, Detroit, Michigan, USA

3Hamad Medical Corporation, Doha, Qatar

4Department of Pathology, Wayne State University School of Medicine, Detroit MI 48201, USA

*Corresponding Author:
Asfar S Azmi, PhD
Department of Pathology
Wayne State University School of Medicine
Detroit, MI 48201, USA
Tel: 313-576-8327
Fax: 313-576-8389
E-mail: [email protected]

Received date: November 16, 2012; Accepted date: December 14, 2012; Published date: December 16, 2012

Citation: Muqbil I, Bao GW, El-Kharraj R, Shah M, Mohammad RM, et al. (2012) Systems and Network Pharmacology Approaches to Cancer Stem Cells Research and Therapy. J Stem Cell Res Ther S7:005. doi:10.4172/2157-7633.S7-005

Copyright: © 2012 Muqbil I, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The cancer stem cell (CSC) hypothesis is increasingly being accepted as a model to explain for the functional heterogeneity that is commonly observed in solid tumors. According to this hypothesis, there exists a hierarchical organization of cells within the tumor, in which a differential subpopulation of stem-like cells is responsible for sustaining and recurrence of tumor growth. CSCs have been shown to exist in a variety of solid tumors especially those with known resistant phenotypes such as breast, prostate and pancreatic adenocarcinoma (PDAC). In all these models, the commonality of deregulation of three crucial pathways; Wnt, notch and hedgehog that maintain CSC self-renewal capacity is emerging. Collectively these major pathways and have been linked to the observed resistance of CSC to chemotherapy and radiotherapy. The existing lack of knowledge and our incomplete understanding of the molecular signatures associated with CSCs highlight the need for better approaches in both isolation and identification of unique pathways associated with these cells. In this direction, computational biology, especially systems and network approaches, have proven to be of great utility in unraveling pathway complexities such as those associated with CSCs. With highlights on the most up-to-date molecular, network, cellular, clinical, and therapeutic cancer research findings, this article tends to provide a wealth of insights on systems and network biology approaches to CSC marker identification, the mechanism through which they evade treatment as well as therapeutic approaches that will help in conquering these elusive cells in incurable and refractory malignancies.

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