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      Cancer-Associated PIK3CA Mutations in Overgrowth Disorders

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          Abstract

          PIK3CA is one of the most commonly mutated genes in solid cancers. PIK3CA mutations are also found in benign overgrowth syndromes, collectively known as PIK3CA-related overgrowth spectrum (PROS). As in cancer, PIK3CA mutations in PROS arise postzygotically, but unlike in cancer, these mutations arise during embryonic development, with their timing and location critically influencing the resulting disease phenotype. Recent evidence indicates that phosphoinositide 3-kinase (PI3K) pathway inhibitors undergoing trials in cancer can provide a therapy for PROS. Conversely, PROS highlights gaps in our understanding of PI3K’s role during embryogenesis and in cancer development. Here, we summarize current knowledge of PROS, evaluate challenges and strategies for disease modeling, and consider the implications of PROS as a paradigm for understanding activating PIK3CA mutations in human development and cancer.

          Highlights

          Cancer-associated activating PIK3CA mutations, when occurring in isolation during early development, cause a spectrum of rare disorders characterized by asymmetric, and often severe, excessive tissue growth and malformations.

          Tissues are not uniformly affected, and, surprisingly, no excess of PIK3CA-associated adult cancers has been described.

          Evidence that low-dose, repurposed cancer therapies may offer effective precision therapy is beginning to emerge.

          Mouse models driven by endogenous expression of pathogenic, mosaic PIK3CA alleles only partly recapitulate the disease phenotype.

          Although it is critical for normal cell growth and survival, the role of PIK3CA in early human development is poorly characterized.

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          Most cited references69

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          AKT/PKB Signaling: Navigating the Network

          The Ser/Thr kinase AKT, also known as protein kinase B (PKB), was discovered 25 years ago and has been the focus of tens of thousands of studies in diverse fields of biology and medicine. There have been many advances in our knowledge of the upstream regulatory inputs into AKT, key multifunctional downstream signaling nodes (GSK3, FoxO, mTORC1), which greatly expand the functional repertoire of Akt, and the complex circuitry of this dynamically branching and looping signaling network that is ubiquitous to nearly every cell in our body. Mouse and human genetic studies have also revealed physiological roles for the AKT network in nearly every organ system. Our comprehension of AKT regulation and functions is particularly important given the consequences of AKT dysfunction in diverse pathological settings, including developmental and overgrowth syndromes, cancer, cardiovascular disease, insulin resistance and type-2 diabetes, inflammatory and autoimmune disorders, and neurological disorders. There has also been much progress in developing AKT-selective small molecule inhibitors. Improved understanding of the molecular wiring of the AKT signaling network continues to make an impact that cuts across most disciplines of the biomedical sciences.
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            Mutational landscape and significance across 12 major cancer types

            The Cancer Genome Atlas (TCGA) has used the latest sequencing and analysis methods to identify somatic variants across thousands of tumours. Here we present data and analytical results for point mutations and small insertions/deletions from 3,281 tumours across 12 tumour types as part of the TCGA Pan-Cancer effort. We illustrate the distributions of mutation frequencies, types and contexts across tumour types, and establish their links to tissues of origin, environmental/carcinogen influences, and DNA repair defects. Using the integrated data sets, we identified 127 significantly mutated genes from well-known(forexample, mitogen-activatedprotein kinase, phosphatidylinositol-3-OH kinase,Wnt/β-catenin and receptor tyrosine kinase signalling pathways, and cell cycle control) and emerging (for example, histone, histone modification, splicing, metabolism and proteolysis) cellular processes in cancer. The average number of mutations in these significantly mutated genes varies across tumour types; most tumours have two to six, indicating that the numberof driver mutations required during oncogenesis is relatively small. Mutations in transcriptional factors/regulators show tissue specificity, whereas histone modifiers are often mutated across several cancer types. Clinical association analysis identifies genes having a significant effect on survival, and investigations of mutations with respect to clonal/subclonal architecture delineate their temporal orders during tumorigenesis. Taken together, these results lay the groundwork for developing new diagnostics and individualizing cancer treatment.
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              Discovery and saturation analysis of cancer genes across 21 tumor types

              Summary While a few cancer genes are mutated in a high proportion of tumors of a given type (>20%), most are mutated at intermediate frequencies (2–20%). To explore the feasibility of creating a comprehensive catalog of cancer genes, we analyzed somatic point mutations in exome sequence from 4,742 tumor-normal pairs across 21 cancer types. We found that large-scale genomic analysis can identify nearly all known cancer genes in these tumor types. Our analysis also identified 33 genes not previously known to be significantly mutated, including genes related to proliferation, apoptosis, genome stability, chromatin regulation, immune evasion, RNA processing and protein homeostasis. Down-sampling analysis indicates that larger sample sizes will reveal many more genes, mutated at clinically important frequencies. We estimate that near-saturation may be achieved with 600–5000 samples per tumor type, depending on background mutation rate. The results help guide the next stage of cancer genomics.
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                Author and article information

                Contributors
                Journal
                Trends Mol Med
                Trends Mol Med
                Trends in Molecular Medicine
                Elsevier Science Ltd
                1471-4914
                1471-499X
                1 October 2018
                October 2018
                : 24
                : 10
                : 856-870
                Affiliations
                [1 ]Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
                [2 ]The National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, UK
                [3 ]UCL Cancer Institute, Paul O’Gorman Building, University College London, London WC1E 6DD, UK
                [4 ]Centre for Cardiovascular Sciences, Queens Medical Research Institute, University of Edinburgh, Little France Crescent, Edinburgh EH16 4TJ, UK
                Author notes
                Article
                S1471-4914(18)30163-1
                10.1016/j.molmed.2018.08.003
                6185869
                30197175
                fbd1cef3-437a-4b14-8601-fb79068da3a2
                © 2018 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                Categories
                Article

                Molecular medicine
                cancer,overgrowth syndromes,pi3k,pik3ca
                Molecular medicine
                cancer, overgrowth syndromes, pi3k, pik3ca

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