원문정보
초록
영어
In normal cells, cell to cell contact at full cell confluency inhibits cell growth. However, if cell to cell contact is being dissociated, normal cells reach their end of life by the phagocytosis of macrophage via 'programmed cell death', named 'apoptosis'. On the other hand, in cancer cells (especially, cancer stem cells), cell to cell contact can not inhibit cell growth. As a result, cancer stem cells can grow beyond full cell confluency. When cancer cells reach full cell confluency, they either stay at confluence stage or must be made transition from epithelial to mesenchymal form by cadherin switch(antiapoptotic program). These behavioral patterns of cancer stem cells are called "EMT"[2,20]. The underlying causes for such difference have not been known well until now. But this difference is assumed to be occurred by loss of cellular differentiation and coordination of proliferation[5]. As approaching the reason of such disorders with mechano-molecular biology, it was predicted using a mechanobiological model that if cellular unbalanced force is caused between cell to ECM and cell to cell adhesion, the molecular crosstalk is disintegrated between E-cadherin and EGFR Signaling Networks in cell to cell contacts and the attributes such as morphological change of cancer cells, motility, invasion, anticancer drug resistance, etc are acquired, and they were established by experimental method[5]. This study is to report the research results for an idea that the neural network development is a meaningful method of prediction system on cancer behavior patterns through such methods.
목차
1. INTRODUCTION
2. MATERIALS AND METHODS
3. RESULTS
4. DISCUSSION
5. CONCLUSION
6. ACKNOWLEDGEMENTS
7. REFERENCES