[Abstract unavailable

Senescent cells secrete a combination of factors collectively known as the senescence-associated secretory phenotype (SASP). The SASP reinforces senescence and activates an immune surveillance response but it can also display pro-tumorigenic properties and contribute to age-related pathologies. In a drug screen to find novel SASP regulators, we uncovered the mTOR inhibitor rapamycin as a potent SASP suppressor. Here we report a mechanism by which mTOR controls the SASP by differentially regulating the translation of the MK2/MAPKAPK2 kinase through 4EBP1. In turn, MAPKAPK2 phosphorylates the RNA binding protein ZFP36L1 during senescence, inhibiting its ability to degrade the transcripts of numerous SASP components. Consequently, mTOR inhibition or constitutive activation of ZFP36L1 impairs the non-cell-autonomous effects of senescent cells both in tumour-suppressive and promoting-promoting contexts. Altogether, our results place regulation of the SASP as a key mechanism by which mTOR could influence cancer, age-related diseases and immune responses.

Phosphoinositide 3-kinases (PI3Ks) signal downstream of multiple cell-surface receptor types. Class IA PI3K isoforms couple to tyrosine kinases and consist of a p110 catalytic subunit (p110alpha, p110beta or p110delta), constitutively bound to one of five distinct p85 regulatory subunits. PI3Ks have been implicated in angiogenesis, but little is known about potential selectivity among the PI3K isoforms and their mechanism of action in endothelial cells during angiogenesis in vivo. Here we show that only p110alpha activity is essential for vascular development. Ubiquitous or endothelial cell-specific inactivation of p110alpha led to embryonic lethality at mid-gestation because of severe defects in angiogenic sprouting and vascular remodelling. p110alpha exerts this critical endothelial cell-autonomous function by regulating endothelial cell migration through the small GTPase RhoA. p110alpha activity is particularly high in endothelial cells and preferentially induced by tyrosine kinase ligands (such as vascular endothelial growth factor (VEGF)-A). In contrast, p110beta in endothelial cells signals downstream of G-protein-coupled receptor (GPCR) ligands such as SDF-1alpha, whereas p110delta is expressed at low level and contributes only minimally to PI3K activity in endothelial cells. These results provide the first in vivo evidence for p110-isoform selectivity in endothelial PI3K signalling during angiogenesis.

Mutations of the tricarboxylic acid cycle (TCA cycle) enzyme fumarate hydratase (FH) cause Hereditary Leiomyomatosis and Renal Cell Cancer (HLRCC)1. FH-deficient renal cancers are highly aggressive and metastasise even when small, leading to an abysmal clinical outcome2. Fumarate, a small molecule metabolite that accumulates in FH-deficient cells, plays a key role in cell transformation, making it a bona fide oncometabolite3. Fumarate was shown to inhibit α-ketoglutarate (aKG)-dependent dioxygenases involved in DNA and histone demethylation4,5. However, the link between fumarate accumulation, epigenetic changes, and tumorigenesis is unclear. Here we show that loss of FH and the subsequent accumulation of fumarate elicits an epithelial-to-mesenchymal-transition (EMT), a phenotypic switch associated with cancer initiation, invasion, and metastasis6. We demonstrate that fumarate inhibits Tet-mediated demethylation of a regulatory region of the antimetastatic miRNA cluster6 miR-200ba429, leading to the expression of EMT-related transcription factors and enhanced migratory properties. These epigenetic and phenotypic changes are recapitulated by the incubation of FH-proficient cells with cell-permeable fumarate. Loss of FH is associated with suppression of miR-200 and EMT signature in renal cancer patients, and is associated with poor clinical outcome. These results imply that loss of FH and fumarate accumulation contribute to the aggressive features of FH-deficient tumours.

Kinases determine the phenotypes of many cancer cells, but the frequency with which individual kinases are activated in primary tumors remains largely unknown. We used a computational approach, termed kinase-substrate enrichment analysis (KSEA), to systematically infer the activation of given kinase pathways from mass spectrometry-based phosphoproteomic analysis of acute myeloid leukemia (AML) cells. Experiments conducted in cell lines validated the approach and, furthermore, revealed that DNA-dependent protein kinase (DNA-PK) was activated as a result of inhibiting the phosphoinositide 3-kinase (PI3K)-mammalian target of rapamycin (mTOR) signaling pathway. Application of KSEA to primary AML cells identified PI3K, casein kinases (CKs), cyclin-dependent kinases (CDKs), and p21-activated kinases (PAKs) as the kinase substrate groups most frequently enriched in this cancer type. Substrates phosphorylated by extracellular signal-regulated kinase (ERK) and cell division cycle 7 (CDC7) were enriched in primary AML cells that were resistant to inhibition of PI3K-mTOR signaling, whereas substrates of the kinases Abl, Lck, Src, and CDK1 were increased in abundance in inhibitor-sensitive cells. Modeling based on the abundances of these substrate groups accurately predicted sensitivity to a dual PI3K and mTOR inhibitor in two independent sets of primary AML cells isolated from patients. Thus, our study demonstrates KSEA as an untargeted method for the systematic profiling of kinase pathway activities and for increasing our understanding of diseases caused by the dysregulation of signaling pathways.

We have profiled, for the first time, an evolving human metastatic microenvironment, measuring gene expression, matrisome proteomics, cytokine and chemokine levels, cellularity, ECM organization and biomechanical properties, all on the same sample. Using biopsies of high-grade serous ovarian cancer (HGSOC) metastases that ranged from minimal to extensive disease, we show how non-malignant cell densities and cytokine networks evolve with disease progression. Multivariate integration of the different components allowed us to define for the first time, gene and protein profiles that predict extent of disease and tissue stiffness, whilst also revealing the complexity and dynamic nature of matrisome remodeling during development of metastases. Although we studied a single metastatic site from one human malignancy, a pattern of expression of 22 matrisome genes distinguished patients with a shorter overall survival in ovarian and twelve other primary solid cancers, suggesting that there may be a common matrix response to human cancer.

Class IA phosphoinositide 3-kinases (PI3Ks) signal downstream of tyrosine kinases and Ras and control a wide variety of biological responses. In mammals, these heterodimeric PI3Ks consist of a p110 catalytic subunit (p110␣, p110␤, or p110␦) bound to any of five distinct regulatory subunits (p85␣, p85␤, p55␥, p55␣, and p50␣, collectively referred to as ''p85s''). The relative expression levels of p85 and p110 have been invoked to explain key features of PI3K signaling. For example, free (i.e., non-p110-bound) p85␣ has been proposed to negatively regulate PI3K signaling by competition with p85/p110 for recruitment to phosphotyrosine docking sites. Using affinity and ion exchange chromatography and quantitative mass spectrometry, we demonstrate that the p85 and p110 subunits are present in equimolar amounts in mammalian cell lines and tissues. No evidence for free p85 or p110 subunits could be obtained. Cell lines contain 10,000 -15,000 p85/p110 complexes per cell, with p110␤ and p110␦ being the most prevalent catalytic subunits in nonleukocytes and leukocytes, respectively. These results argue against a role of free p85 in PI3K signaling and provide insights into the nonredundant functions of the different class IA PI3K isoforms.quantitative mass spectrometry ͉ signaling ͉ protein stability ͉ gene knockout ͉ lipid kinase P hosphoinositide 3-kinases (PI3Ks) generate lipid second messengers that serve as membrane docking sites for a variety of downstream effector proteins such as protein kinases, regulators of small GTPases, and scaffolding proteins (1, 2). The class IA PI3Ks are heterodimers consisting of a p110 catalytic subunit and a smaller regulatory subunit with Src-homology 2 (SH2) domains. Mammals have three catalytic subunits (p110␣, p110␤, p110␦) and five regulatory subunits (p85␣, p85␤, p55␥, p55␣, p50␣) (1, 2). Under experimental conditions, each p110 isoform can bind any p85 isoform with no apparent preference (see among others, refs. 3 and 4). p85s have a dual effect on the p110 subunits because they stabilize the thermally labile p110s but also conformationally inhibit their catalytic activity (5). Upon cellular stimulation, SH2 domain-mediated recruitment of p85/p110 complexes to Tyr phosphorylated (pY) membraneproximal proteins serves dual functions: It positions p110 in proximity with its substrates, and the engagement of the p85 SH2 domains relieves p85-mediated inhibition of p110, thus increasing enzymatic activity of p110 (6, 7).Experiments using gene-targeted mice and p110 isoformselective inhibitors have uncovered nonredundant physiological functions of the p110 isoforms. These functions include insulin signaling in metabolic tissues (p110␣; refs. 8 and 9), integrin signaling in platelets (p110␤; ref. 10) and signaling through a variety of receptors in leukocytes (p110␦; refs. 11-15). The mechanisms of this nonredundant signaling are not fully understood. Indeed, p110 isoforms have high homology in their primary sequence, interact nonselectively with the different p85s, and have the same lipid...

The extracellular matrix (ECM) is a complex meshwork of insoluble fibrillar proteins and signaling factors interacting together to provide architectural and instructional cues to the surrounding cells. Alterations in ECM organization or composition and excessive ECM deposition have been observed in diseases such as fibrosis, cardiovascular diseases, and cancer. We provide here optimized protocols to solubilize ECM proteins from normal or tumor tissues, digest the proteins into peptides, analyze ECM peptides by mass spectrometry, and interpret the mass spectrometric data. In addition, we present here two novel R-script-based web tools allowing rapid annotation and relative quantification of ECM proteins, peptides, and intensity/abundance in mass spectrometric data output files. We illustrate this protocol with ECMs obtained from two pairs of tissues, which differ in ECM content and cellularity: triple-negative breast cancer and adjacent mammary tissue, and omental metastasis from high-grade serous ovarian cancer and normal omentum. The complete proteomics data set generated in this study has been deposited to the public repository ProteomeXchange with the data set identifier: PXD005554.