Title |
A 3D multiscale model of cancer stem cell in tumor development
|
---|---|
Published in |
BMC Systems Biology, December 2013
|
DOI | 10.1186/1752-0509-7-s2-s12 |
Pubmed ID | |
Authors |
Fuhai Li, Hua Tan, Jaykrishna Singh, Jian Yang, Xiaofeng Xia, Jiguang Bao, Jinwen Ma, Ming Zhan, Stephen TC Wong |
Abstract |
Recent reports indicate that a subgroup of tumor cells named cancer stem cells (CSCs) or tumor initiating cells (TICs) are responsible for tumor initiation, growth and drug resistance. This subgroup of tumor cells has self-renewal capacity and could differentiate into heterogeneous tumor cell populations through asymmetric proliferation. The idea of CSC provides informative insights into tumor initiation, metastasis and treatment. However, the underlying mechanisms of CSCs regulating tumor behaviors are unclear due to the complex cancer system. To study the functions of CSCs in the complex tumor system, a few mathematical modeling studies have been proposed. Whereas, the effect of microenvironment (mE) factors, the behaviors of CSCs, progenitor tumor cells (PCs) and differentiated tumor cells (TCs), and the impact of CSC fraction and signaling heterogeneity, are not adequately explored yet. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 2% |
Germany | 1 | 2% |
Unknown | 45 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 28% |
Researcher | 9 | 19% |
Other | 4 | 9% |
Student > Master | 4 | 9% |
Professor | 3 | 6% |
Other | 9 | 19% |
Unknown | 5 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 15% |
Medicine and Dentistry | 6 | 13% |
Engineering | 6 | 13% |
Physics and Astronomy | 4 | 9% |
Computer Science | 4 | 9% |
Other | 13 | 28% |
Unknown | 7 | 15% |