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Human LATS1 and LATS2 mutation data was collected from Catalogue of Somatic Mutations in Cancer (COSMIC) (top portions) and cBioPortal (bottom portions) databases.
Public cancer genome mutation data was downloaded from their respective publication sites [8], [9], [11], [12], [14] and run through B-SIFT with protein sequences corresponding to the given transcript identifiers in each publication.
The presence of a significant A≫T and WA≫TW bias in the wildtype mutation data was used for quality assessment and largely ruled out the presence of contaminating PCR hybrids and artifactual mutation spectra [38].
Where available, somatic mutation data was compared to data from orthogonal technologies (pyro/sanger sequencing).
The downloaded mutation data was all previously mapped to gene regions.
Mutation data was queried with Microsoft Sequel and quantitatively analyzed with Microsoft Excel.
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The importance of these somatic mutation data is mechanistic in that these serve to trace metastasis and to evaluate entire pathways since proteins with translated mutations interact with the other proteins that may or may not be mutated.
Given this complexity, more novel methods for the analyses of mutation data are needed for a better understanding of cancer.
The ex vivo mutation data are consistent with the reduced activity observed in the K216A mutant in vitro.
Currently, curated mutation data is ingested from the Catalogue of Somatic Mutations in Cancer (COSMIC), which was created and is maintained by the Sanger Institute [30].
In vivo efficacy and mutation data were included if they were sampled within 2 years from the time of the SP-IPTi study and within a 50km radius.
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