Dynamical Systems Biology of Cancer Metastasis by Mohit Kumar Jolly
International Centre for Theoretical Sciences via YouTube
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Overview
Syllabus
Dynamical systems biology of cancer metastasis
uncontrolled growth of abnormal cells
Stages of cancer progression
Metastasis : the cause of 90 percent of all cancer deaths
What traits cells need to successfully metastasize?
Is genetics the answer? Not always
Can cancer proceed without mutations? Perhaps!
Can a 'systems' view help 'understand' cancer?
Example of 'systems' approach
We are...
EMT/MET: The engine of metastasis
Metastasis: a journey taken in groups
How do clusters reconcile with binary EMT?
Systems biology model for EMT/MET
Toggle switch: A systems biology model
Theoretical framework for miRNA-based circuits
Tristability in the underlying EMT network
Hybrid E/M can be a stable phenotype
Co-existence of phenotypes seen experimentally
Quantifying the EMT spectrum of states
Identifying 'phenotypic stability factors' PSFs
Knockdown of PSFs can drive a complete EMT
Spontaneous switching among phenotypes
Is EMT always reversible?
How EMT alters tumor-initiation ability stemness?
Hybrid E/M cells can form many more tumors
In vivo spontaneous EMT model highlights the aggressive behavior of hybrid E/M phenotypes
Hybrid E/M phenotype may form CTC clusters
How are CTC clusters formed?
Crosstalk between EMT and Notch pathways
Notch-Jagged signaling can form CTC clusters
JAG1 knockdown diminishes emboli formation
Why do hybrid E/M cells matter in the clinic?
Hybrid E/M: the 'fittest' for metastasis?
Conclusion
Ongoing questions/debate
Fifty or more shades of cellular plasticity
Acknowledgements
Taught by
International Centre for Theoretical Sciences