Paullinia cupana Mart. var. sorbilis, Guarana, Increases Survival of Ehrlich Ascites Carcinoma (EAC) Bearing Mice by Decreasing Cyclin-D1 Expression and Inducing a G0/G1 Cell Cycle Arrest in EAC Cells

The objective of this work is to report the antiproliferative effect of P. cupana treatment in Ehrlich Ascites Carcinoma (EAC)-bearing animals. Female mice were treated with three doses of powdered P. cupana (100, 1000 and 2000 mg/kg) for 7 days, injected with 10(5) EAC cells and treated up to day 21. In addition, a survival experiment was carried out with the same protocol. P. cupana decreased the ascites volume (p = 0.0120), cell number (p = 0.0004) and hemorrhage (p = 0.0054). This occurred through a G1-phase arrest (p < 0.01) induced by a decreased gene expression of Cyclin D1 in EAC cells. Furthermore, P. cupana significantly increased the survival of EAC-bearing animals (p = 0.0012). In conclusion, the P. cupana growth control effect in this model was correlated with a decreased expression of cyclin D1 and a G1 phase arrest. These results reinforce the cancer therapeutic potential of this Brazilian plant. Copyright (C) 2010 John Wiley & Sons, Ltd.

On the efficiency of evolutionary fuzzy clustering

This paper tackles the problem of showing that evolutionary algorithms for fuzzy clustering can be more efficient than systematic (i.e. repetitive) approaches when the number of clusters in a data set is unknown. To do so, a fuzzy version of an Evolutionary Algorithm for Clustering (EAC) is introduced. A fuzzy cluster validity criterion and a fuzzy local search algorithm are used instead of their hard counterparts employed by EAC. Theoretical complexity analyses for both the systematic and evolutionary algorithms under interest are provided. Examples with computational experiments and statistical analyses are also presented.