Proceedings of the National Academy of Sciences · 2015 · 52 citations · 31 references
MedicineGeneticsOncologyCancer GeneticsCarcinogenesisMolecular OncologyCancer Genome SequencingCancer GenomicsCancer Molecular PathologyComputational OncologyNext-generation Sequencing In OncologyTumor Suppressor GenesClinical Genome InterpretationMutationPten InactivationSomatic Mutation SpectraTumor Genomics InterpretationTumor Suppressor Gene MutationsTumor Suppressor LossTumor Suppressor Pathways
Although a variety of genetic alterations have been found across cancer types, the identification and functional characterization of candidate driver genetic lesions in an individual patient and their translation into clinically actionable strategies remain major hurdles. Here, we use whole genome sequencing of a prostate cancer tumor, computational analyses, and experimental validation to identify and predict novel oncogenic activity arising from a point mutation in the phosphatase and tensin homolog (PTEN) tumor suppressor protein. We demonstrate that this mutation (p.A126G) produces an enzymatic gain-of-function in PTEN, shifting its function from a phosphoinositide (PI) 3-phosphatase to a phosphoinositide (PI) 5-phosphatase. Using cellular assays, we demonstrate that this gain-of-function activity shifts cellular phosphoinositide levels, hyperactivates the PI3K/Akt cell proliferation pathway, and exhibits increased cell migration beyond canonical PTEN loss-of-function mutants. These findings suggest that mutationally modified PTEN can actively contribute to well-defined hallmarks of cancer. Lastly, we demonstrate that these effects can be substantially mitigated through chemical PI3K inhibitors. These results demonstrate a new dysfunction paradigm for PTEN cancer biology and suggest a potential framework for the translation of genomic data into actionable clinical strategies for targeted patient therapy.
31
Fast and accurate short read alignment with Burrows–Wheeler transform
Heng Li, Richard Durbin · Bioinformatics · 2009 · 62.8K citations · Full text
A framework for variation discovery and genotyping using next-generation DNA sequencing data
Mark A. DePristo, Eric Banks, Ryan Poplin et al. · Nature Genetics · 2011 · 12.4K citations · Full text
Signatures of mutational processes in human cancer
Ludmil B. Alexandrov, Serena Nik‐Zainal, David C. Wedge et al. · Nature · 2013 · 10.1K citations · Full text
Medicine, Cancer Biology, Oncology +14
The Cancer Genome Atlas Pan-Cancer analysis project
John N. Weinstein, Gordon B. Mills, Kenna Shaw et al. · Nature Genetics · 2013 · 9.5K citations · Full text