. . . . . . . "[Whole exome massively parallel sequencing-based mutation data from EECs of The Cancer Genome Atlas (TCGA) were used to define the number, type and pattern of mutations affecting PI3K pathway-related genes, including AKT1, INPP4B, MTOR, PIK3CA, PIK3R1 and PTEN.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en . . . . . "2017-02-19"^^ . . "Gene-disease associations inferred from text-mining the literature."@en . "DisGeNET evidence - LITERATURE"@en . "2017-10-17T13:10:23+02:00"^^ . . . . . . . . . . . "v5.0.0.0" . "v5.0.0" .