Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UNIPROT:P42345 (mTOR)
26,049 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The chromosomal region 11q13 is amplified in 15-20% of breast cancers; an event not only associated with estrogen receptor (ER) expression but also implicated in resistance to endocrine therapy. Coamplifications of the 11q13 and 8p12 regions are common, suggesting synergy between the amplicons. The aim was to identify candidate oncogenes in the 11q13 region based on recurrent amplification patterns and correlations to mRNA expression levels. Furthermore, the 11q13/8p12 coamplification and its prognostic value, was evaluated at the DNA and the mRNA levels. Affymetrix 250K NspI arrays were used for whole-genome screening of DNA copy number changes in 29 breast tumors. To identify amplicon cores at 11q13 and 8p12, genomic identification of significant targets in cancer (GISTIC) was applied. The mRNA expression levels of candidate oncogenes in the amplicons [RAD9A, RPS6KB2 (S6K2), CCND1, FGF19, FGF4, FGF3, PAK1, GAB2 (11q13); EIF4EBP1 (4EBP1), PPAPDC1B, and FGFR1 (8p12)] were evaluated using real-time PCR. Resulting data revealed three main amplification cores at 11q13. ER expression was associated with the central 11q13 amplification core, encompassing CCND1, whereas 8p12 amplification/gene expression correlated to S6K2 in a proximal 11q13 core. Amplification of 8p12 and high expression of 4EBP1 or FGFR1 was associated with a poor outcome in the group. In conclusion, single nucleotide polymorphism arrays have enabled mapping of the 11q13 amplicon in breast tumors with high resolution. A proximal 11q13 core including S6K2 was identified as involved in the coamplification/coexpression with 8p12, suggesting synergy between the mTOR targets S6K2 and 4EBP1 in breast cancer development and progression.
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PMID:High-resolution genomic analysis of the 11q13 amplicon in breast cancers identifies synergy with 8p12 amplification, involving the mTOR targets S6K2 and 4EBP1. 2174 18

Identification of genomic alterations defining ovarian carcinoma subtypes may aid the stratification of patients to receive targeted therapies. We characterized high-grade serous ovarian carcinoma (HGSC) for the association of amplified and overexpressed genes with clinical outcome using gene expression data from 499 HGSC patients in the Ovarian Tumor Tissue Analysis cohort for 11 copy number amplified genes: ATP13A4, BMP8B, CACNA1C, CCNE1, DYRK1B, GAB2, PAK4, RAD21, TPX2, ZFP36, and URI. The Australian Ovarian Cancer Study and The Cancer Genome Atlas datasets were also used to assess the correlation between gene expression, patient survival, and tumor classification. In a multivariate analysis, high GAB2 expression was associated with improved overall and progression-free survival (P = 0.03 and 0.02), whereas high BMP8B and ATP13A4 were associated with improved progression-free survival (P = 0.004 and P = 0.02). GAB2 overexpression and copy number gain were enriched in the AOCS C4 subgroup. High GAB2 expression correlated with enhanced sensitivity in vitro to the dual PI3K/mTOR inhibitor PF-04691502 and could be used as a genomic marker for identifying patients who will respond to treatments inhibiting PI3K signaling.
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PMID:Enhanced GAB2 Expression Is Associated with Improved Survival in High-Grade Serous Ovarian Cancer and Sensitivity to PI3K Inhibition. 2825 85

A major goal in signaling biology is the establishment of high-throughput quantitative methods for measuring changes in protein phosphorylation of entire signal transduction pathways across many different samples comprising temporal or dose data or patient samples. Data-independent acquisition (DIA) mass spectrometry (MS) methods, which involve tandem MS scans that are collected independently of precursor ion information and then are followed by targeted searching for known peptides, may achieve this goal. We applied DIA-MS to systematically quantify phosphorylation of components in the insulin signaling network in response to insulin as well as in stimulated cells exposed to a panel of kinase inhibitors targeting key downstream effectors in the network. We accurately quantified the effect of insulin on phosphorylation of 86 protein targets in the insulin signaling network using either stable isotope standards (SIS) or label-free quantification (LFQ) and mapped signal transmission through this network. By matching kinases to specific phosphorylation events (based on linear consensus motifs and temporal phosphorylation) to the quantitative phosphoproteomic data from cells exposed to inhibitors, we investigated predicted kinase-substrate relationships of AKT and mTOR in a targeted fashion. Furthermore, we applied this approach to show that AKT2-dependent phosphorylation of GAB2 promoted insulin signaling but inhibited epidermal growth factor (EGF) signaling in a manner dependent on 14-3-3 binding. Because DIA-MS can increase throughput and improve the reproducibility of peptide detection across multiple samples, this approach should facilitate more accurate, comprehensive, and quantitative assessment of signaling networks under various experimental conditions than are possible using other MS proteomic methods.
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PMID:Targeted phosphoproteomics of insulin signaling using data-independent acquisition mass spectrometry. 2606 Mar 31

Dysregulation of microRNAs (miRNAs) is induced during tumorigenesis. Our previous research suggested that HPV and MNNG led to malignant transformation of esophageal epithelial cells. To investigate the regulation and function of miR-218(miR-218-5p) during the malignant transformation of esophageal epithelial cells, we found miR-218 was inhibited synergistically by HPV and MNNG, suppressing cell proliferation, migration and invasion by up-regulating 3' untranslated region (3'UTR) GAB2 in Het-1A-HPV-MNNG cells (malignant Het-1A cells induced by HPV and MNNG). A negative correlation was found between miR-218 and GAB2 mRNA expression in esophageal cancer patients and control people. GAB2 was up-regulated in Het-1A-HPV-MNNG cells. Further, down-expression of GAB2 reversed HPV&MNNG-mediated activation of migration and invasion and repressed SHP2/ERK and Akt/mTOR pathway signaling. In conclusion, miR-218 partially accounts for the prevention effect during malignant transformation of normal esophageal epithelial cells, which targets GAB2, which supplies the potential treatment in cancer therapy.
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PMID:Synergism of HPV and MNNG repress miR-218 promoting Het-1A cell malignant transformation by targeting GAB2. 3318 95