scholarly journals Pseudotime Based Analysis of Cancer Dynamics

Author(s):  
Tasmia Aqila ◽  
Ananda Mohan Mondal
Keyword(s):  
Author(s):  
Joseph Páez Chávez ◽  
Burcu Gürbüz ◽  
Carla M.A. Pinto
Keyword(s):  

2015 ◽  
Vol 373 (18) ◽  
pp. 1685-1687 ◽  
Author(s):  
H. Gilbert Welch ◽  
David H. Gorski ◽  
Peter C. Albertsen

2015 ◽  
Vol 70 (5) ◽  
pp. 857-868 ◽  
Author(s):  
Iulian T. Vlad ◽  
Pablo Juan ◽  
Jorge Mateu

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Ombretta Repetto ◽  
Paolo De Paoli ◽  
Valli De Re ◽  
Vincenzo Canzonieri ◽  
Renato Cannizzaro

Soluble E-cadherin is a 80 kDa protein fragment coming from the proteolytic cleavage of the extracellular domain of the full length epithelial cadherin, a molecule involved in cell adhesion/polarity and tissue morphogenesis. In comparison with normal epithelia, cancer cells show a decreased cadherin-mediated intercellular adhesion, and sE-cad levels normally increase in body fluids (blood and urine). This review focuses on soluble E-cadherin in sera of patients affected by three solid cancers (breast, gastric, and colorectal cancers) and how its levels correlate or not with some cancer parameters (e.g., dimension, progression, and localisation). We will describe the main proteomics approaches adopted to measure sE-cad bothin vivoandin vitroand the most important findings about its behaviour in cancer dynamics.


1997 ◽  
Vol 45 (10) ◽  
pp. 1503-1517 ◽  
Author(s):  
George Christakos ◽  
Jaim-Jou Lai

Author(s):  
Abicumaran Uthamacumaran

Cancers are complex, adaptive ecosystems. They remain the leading cause of disease-related death among children in North America. As we approach computational oncology and Deep Learning Healthcare, our mathematical models of cancer dynamics must be revised. Recent findings support the perspective that cancer-microenvironment interactions consist of turbulent flows. As such, cancer pattern formation, protein-folding and metastatic invasion are discussed herein as processes driven by chemical turbulence within the framework of complex systems theory. Current state-of-the-art quantitative approaches used in reconstructing cancer stem cell networks are reviewed. To conclude, cancer stem cells are presented as strange attractors of the Waddington landscape.


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