Mutual Exclusivity of Mutations Across Different Cancer Types - A Molecular Network Perspective

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Examines mutually exclusive mutation patterns across various cancer types using molecular network analysis, focusing on how network relationships explain or reveal exclusivity of mutations. Describes computational approaches that integrate mutation data with molecular interaction networks to identify and interpret mutually exclusive alterations.

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" chapters (17)

1. 0:00Intro
2. 0:40Cancer drivers, passengers, supporting actors, witnesses
3. 1:22Cancer-driving pathways: examples of BRCA-mutated genes in their pathway context
4. 2:16Mutual exclusivity of cancer drivers
5. 4:09Mutually exclusive pairs often share pathways
6. 5:24Introducing a classification of mutual exclusivity
7. 7:01Mutual exclusivity classes in the Pan-Cancer context
8. 11:58Finding Pan-Cancer dysregulated pathways: ME Module Cover Approach
9. 14:15Does putting together ACROSS ME and
10. 18:26Beyond cancer drivers
11. 20:51FBXW7: tumor suppressor but possible passenger
12. 21:31What is the train TTN is riding on?
13. 21:54TTN carries the APOBEC signature in BRCA and the Pol ε signature in UCEC
14. 26:00Can APOBEC cause TP53 mutations? Burns et al.
15. 27:27True for all TP53 mutations in BRCA?
16. 28:34TTN and TP53 share exclusivity partners
17. 28:46Genes mutually exclusive with TTN are predictors of better survival