178 INVITED The Role of Microsatellite Instability in the Era of Personalized Medicine

2011 ◽  
Vol 47 ◽  
pp. S43
Author(s):  
E. Vilar
2010 ◽  
Vol 16 (6) ◽  
pp. 1845-1855 ◽  
Author(s):  
Anna M. Dahlin ◽  
Richard Palmqvist ◽  
Maria L. Henriksson ◽  
Maria Jacobsson ◽  
Vincy Eklöf ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1045
Author(s):  
Marta B. Lopes ◽  
Eduarda P. Martins ◽  
Susana Vinga ◽  
Bruno M. Costa

Network science has long been recognized as a well-established discipline across many biological domains. In the particular case of cancer genomics, network discovery is challenged by the multitude of available high-dimensional heterogeneous views of data. Glioblastoma (GBM) is an example of such a complex and heterogeneous disease that can be tackled by network science. Identifying the architecture of molecular GBM networks is essential to understanding the information flow and better informing drug development and pre-clinical studies. Here, we review network-based strategies that have been used in the study of GBM, along with the available software implementations for reproducibility and further testing on newly coming datasets. Promising results have been obtained from both bulk and single-cell GBM data, placing network discovery at the forefront of developing a molecularly-informed-based personalized medicine.


2003 ◽  
Vol 89 (3) ◽  
pp. 434-439 ◽  
Author(s):  
Yick-Fu Wong ◽  
Tak-Hong Cheung ◽  
Kin-Yan Poon ◽  
Vivian Wei Wang ◽  
James C.B Li ◽  
...  

2014 ◽  
Vol 76 (6) ◽  
pp. 379-383 ◽  
Author(s):  
Melissa A. Hicks ◽  
Rebecca J. Cline ◽  
Angela M. Trepanier

An understanding of how genomics information, including information about risk for common, multifactorial disease, can be used to promote personal health (personalized medicine) is becoming increasingly important for the American public. We undertook a quantitative content analysis of commonly used high school textbooks to assess how frequently the genetic basis of common multifactorial diseases was discussed compared with the “classic” chromosomal–single gene disorders historically used to teach the concepts of genetics and heredity. We also analyzed the types of conditions or traits that were discussed. We identified 3957 sentences across 11 textbooks that addressed multifactorial and “classic” genetic disorders. “Classic” gene disorders were discussed relatively more frequently than multifactorial diseases, as was their genetic basis, even after we enriched the sample to include five adult-onset conditions common in the general population. Discussions of the genetic or hereditary components of multifactorial diseases were limited, as were discussions of the environmental components of these conditions. Adult-onset multifactorial diseases are far more common in the population than chromosomal or single-gene disorders; many are potentially preventable or modifiable. As such, they are targets for personalized medical approaches. The limited discussion in biology textbooks of the genetic basis of multifactorial conditions and the role of environment in modifying genetic risk may limit the public’s understanding and use of personalized medicine.


2018 ◽  
Vol 127 (2) ◽  
pp. 72-78 ◽  
Author(s):  
Kelvin Young ◽  
Gilda da Cunha Santos ◽  
Paul Card ◽  
Natasha Leighl

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207227 ◽  
Author(s):  
Evangelos Koustas ◽  
Athanasios G. Papavassiliou ◽  
Michalis V. Karamouzis

Sign in / Sign up

Export Citation Format

Share Document