Ultrasonicarly induced nuclear aberrations in anin vitromulticellular tumour system

1982 ◽  
Vol 55 (653) ◽  
pp. 362-365 ◽  
Author(s):  
Peter G. Sacks ◽  
Morton W. Miller
Keyword(s):  
1979 ◽  
Vol 35 (4) ◽  
pp. 460-461 ◽  
Author(s):  
S. S. Ranade ◽  
Smita Shah ◽  
Pallavi Haria

1995 ◽  
Vol 68 (4) ◽  
pp. 467-473 ◽  
Author(s):  
H. Isoda ◽  
K. Akagi ◽  
T. Hasegawa ◽  
Y. Tanaka ◽  
T. Kihara ◽  
...  

1974 ◽  
Vol 29 (4) ◽  
pp. 300-304
Author(s):  
R Favre ◽  
Y Carcassonne ◽  
G Meyer
Keyword(s):  

1989 ◽  
Vol 258 (2) ◽  
pp. 421-425 ◽  
Author(s):  
N I Azrolan ◽  
P S Coleman

Cholesterol biosynthesis was characterized in cell-free post-mitochondrial supernatant systems prepared from both normal rat liver and Morris hepatoma 3924A. The rate of cholesterol synthesis per cell was 9-fold greater in the tumour system than in that from normal liver, and the tumour systems showed the loss of rate-limiting control at the hydroxymethylglutaryl-CoA reductase (HMGR)-catalysed step. The apparent absence of rate-limiting control over cell-free tumour cholesterogenesis was traced primarily to a discoordinate and dramatic increase in the amount of HMGR in the tumour relative to the liver system. Preliminary evidence for an altered control of the post-lanosterol portion of the pathway was also obtained with the tumour system.


1989 ◽  
Vol 5 (4) ◽  
pp. 509-523 ◽  
Author(s):  
Ellen L. Jones ◽  
Bernard E. Lyons ◽  
Evan B. Douple ◽  
Bradley J. Dain

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Loredana G. Marcu ◽  
Wendy M. Harriss-Phillips

Mathematical and stochastic computer (in silico) models of tumour growth and treatment response of the past and current eras are presented, outlining the aims of the models, model methodology, the key parameters used to describe the tumour system, and treatment modality applied, as well as reported outcomes from simulations. Fractionated radiotherapy, chemotherapy, and combined therapies are reviewed, providing a comprehensive overview of the modelling literature for current modellers and radiobiologists to ignite the interest of other computational scientists and health professionals of the ever evolving and clinically relevant field of tumour modelling.


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