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Insulin–PI3K signalling: an evolutionarily insulated metabolic driver of cancer
Author(s) -
Benjamin D. Hopkins,
Marcus D. Goncalves,
Lewis C. Cantley
Publication year - 2020
Publication title -
nature reviews. endocrinology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.653
H-Index - 148
eISSN - 1759-5037
pISSN - 1759-5029
DOI - 10.1038/s41574-020-0329-9
Subject(s) - pi3k/akt/mtor pathway , carcinogenesis , insulin , cancer research , medicine , kinase , cancer , cancer cell , signal transduction , biology , bioinformatics , microbiology and biotechnology , endocrinology
Cancer is driven by incremental changes that accumulate, eventually leading to oncogenic transformation. Although genetic alterations dominate the way cancer biologists think about oncogenesis, growing evidence suggests that systemic factors (for example, insulin, oestrogen and inflammatory cytokines) and their intracellular pathways activate oncogenic signals and contribute to targetable phenotypes. Systemic factors can have a critical role in both tumour initiation and therapeutic responses as increasingly targeted and personalized therapeutic regimens are used to treat patients with cancer. The endocrine system controls cell growth and metabolism by providing extracellular cues that integrate systemic nutrient status with cellular activities such as proliferation and survival via the production of metabolites and hormones such as insulin. When insulin binds to its receptor, it initiates a sequence of phosphorylation events that lead to activation of the catalytic activity of phosphoinositide 3-kinase (PI3K), a lipid kinase that coordinates the intake and utilization of glucose, and mTOR, a kinase downstream of PI3K that stimulates transcription and translation. When chronically activated, the PI3K pathway can drive malignant transformation. Here, we discuss the insulin-PI3K signalling cascade and emphasize its roles in normal cells (including coordinating cell metabolism and growth), highlighting the features of this network that make it ideal for co-option by cancer cells. Furthermore, we discuss how this signalling network can affect therapeutic responses and how novel metabolic-based strategies might enhance treatment efficacy for cancer.

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