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For example, pancreatic cancer is a locally lethal but not globally lethal cancer; it has a local lethality value of 0.91 but a global lethality value of 0.06 (Table 2).
Global lethality is defined as the ratio of deaths of a particular cancer over all cancers.
Global lethality and local lethality do not have a significant correlation in the older FDA cancer networks.
However, it is interesting that different types of death statistics (global lethality vs. local lethality) show different results.
The correlation of global lethality with the FDA approval numbers has mostly been present in previous years (Table S2).
This suggests the higher clinical drug trial numbers could be explained, in part, by the higher global lethality rates.
Similar(42)
Current methods rely on a substantial number of screens or global synthetic lethality data found in databases [ 4- 7].
To determine which other cancers are similar to lung and pancreatic cancers with respect to their global and local lethality values, we performed hierarchical clustering, based on Euclidean distance of lethality values with single linkage.
We defined global and local lethality values representing death rates relative to other cancers vs. within a cancer.
The weighted degree values of the FDA cancer network are not significantly correlated with the global and local lethality values (Table 3).
Overall, this analysis provides a systems level view of cancer drugs and suggests that death statistics (i.e. global vs. local lethality) have a differential impact on the number of approvals, trials and drug sharing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com