↓ Skip to main content

Systems Biology of Tumor Dormancy

Overview of attention for book
Attention for Chapter 11: Regulation of Tumor Dormancy and Role of Microenvironment: A Mathematical Model
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Regulation of Tumor Dormancy and Role of Microenvironment: A Mathematical Model
Chapter number 11
Book title
Systems Biology of Tumor Dormancy
Published in
Advances in experimental medicine and biology, January 2013
DOI 10.1007/978-1-4614-1445-2_11
Pubmed ID
Book ISBNs
978-1-4614-1444-5, 978-1-4614-1445-2
Authors

Khalid Boushaba PhD, Yangjin Kim, Khalid Boushaba, Kim, Yangjin, Boushaba, Khalid

Abstract

Herein, a mathematical model of a molecular control system for the regulation of secondary tumors is formulated and analyzed to explore how secondary tumors can be controlled by a primary tumor with/without a surgery and the microenvironment. This control system is composed of fibroblast growth factor-2 (FGF2), urokinase-type plasminogen activator (uPA), plasmin, transforming growth factor-beta (TGFβ), latent TGFβ (LTGFβ), and tumor density. The control of secondary tumors by primary tumors was first modeled by Boushaba, Nilsen-Hamiton and Levine in [46]. The model is based on the idea that the vascularization of a secondary tumor can be suppressed by inhibitors from a larger primary tumor. The emergence of tumors at secondary sites 5-7 cm from a primary site was observed after surgical removal of the primary tumor in silico. The model supports the notion that the fate of secondary tumors after surgery depends on the distance from the primary tumor and the surrounding microenvironment. As such, the primary tumor did not influence the growth of remote secondary tumors, but it could effectively suppress the growth of the secondary tumors if they were too close to the primary tumor, even after it was removed. Thus, the model predicts the emergence of secondary tumors after the excision of the primary tumor when the distance between these tumors is in the "distance window." It also predicts that the growth behaviors of the secondary tumors depend on the local microenvironment. Based on these findings, we propose several treatment options for better clinical outcomes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 38%
Student > Ph. D. Student 3 23%
Student > Bachelor 1 8%
Professor 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Mathematics 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Agricultural and Biological Sciences 1 8%
Engineering 1 8%
Other 0 0%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 January 2013.
All research outputs
#20,180,477
of 22,694,633 outputs
Outputs from Advances in experimental medicine and biology
#3,934
of 4,902 outputs
Outputs of similar age
#248,695
of 280,671 outputs
Outputs of similar age from Advances in experimental medicine and biology
#137
of 169 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,902 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.