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Systems Biology of Tumor Dormancy

Overview of attention for book
Attention for Chapter 6: Tumor dormancy, oncogene addiction, cellular senescence, and self-renewal programs.
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Chapter title
Tumor dormancy, oncogene addiction, cellular senescence, and self-renewal programs.
Chapter number 6
Book title
Systems Biology of Tumor Dormancy
Published in
Advances in experimental medicine and biology, November 2012
DOI 10.1007/978-1-4614-1445-2_6
Pubmed ID
Book ISBNs
978-1-4614-1444-5, 978-1-4614-1445-2
Authors

Bellovin DI, Das B, Felsher DW, David I. Bellovin, Bikul Das, Dean W. Felsher, Bellovin, David I., Das, Bikul, Felsher, Dean W.

Abstract

Cancers are frequently addicted to initiating oncogenes that elicit aberrant cellular proliferation, self-renewal, and apoptosis. Restoration of oncogenes to normal physiologic regulation can elicit dramatic reversal of the neoplastic phenotype, including reduced proliferation and increased apoptosis of tumor cells (Science 297(5578):63-64, 2002). In some cases, oncogene inactivation is associated with compete elimination of a tumor. However, in other cases, oncogene inactivation induces a conversion of tumor cells to a dormant state that is associated with cellular differentiation and/or loss of the ability to self-replicate. Importantly, this dormant state is reversible, with tumor cells regaining the ability to self-renew upon oncogene reactivation. Thus, understanding the mechanism of oncogene inactivation-induced dormancy may be crucial for predicting therapeutic outcome of targeted therapy. One important mechanistic insight into tumor dormancy is that oncogene addiction might involve regulation of a decision between self-renewal and cellular senescence. Recent evidence suggests that this decision is regulated by multiple mechanisms that include tumor cell-intrinsic, cell-autonomous mechanisms and host-dependent, tumor cell-non-autonomous programs (Mol Cell 4(2):199-207, 1999; Science 297(5578):102-104, 2002; Nature 431(7012):1112-1117, 2004; Proc Natl Acad Sci U S A 104(32):13028-13033, 2007). In particular, the tumor microenvironment, which is known to be critical during tumor initiation (Cancer Cell 7(5):411-423, 2005; J Clin Invest 121(6):2436-2446, 2011), prevention (Nature 410(6832):1107-1111, 2001), and progression (Cytokine Growth Factor Rev 21(1):3-10, 2010), also appears to dictate when oncogene inactivation elicits the permanent loss of self-renewal through induction of cellular senescence (Nat Rev Clin Oncol 8(3):151-160, 2011; Science 313(5795):1960-1964, 2006; N Engl J Med 351(21):2159-21569, 2004). Thus, oncogene addiction may be best modeled as a consequence of the interplay amongst cell-autonomous and host-dependent programs that define when a therapy will result in tumor dormancy.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Russia 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 31%
Student > Ph. D. Student 10 16%
Student > Bachelor 6 10%
Student > Master 5 8%
Other 3 5%
Other 5 8%
Unknown 14 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 23%
Agricultural and Biological Sciences 10 16%
Medicine and Dentistry 8 13%
Immunology and Microbiology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 8 13%
Unknown 17 27%
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 24 November 2012.
All research outputs
#18,321,703
of 22,687,320 outputs
Outputs from Advances in experimental medicine and biology
#3,276
of 4,902 outputs
Outputs of similar age
#136,283
of 178,993 outputs
Outputs of similar age from Advances in experimental medicine and biology
#5
of 10 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 19th percentile – i.e., 19% 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 178,993 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.