Literature DB >> 27135362

Deep Proteomics of Breast Cancer Cells Reveals that Metformin Rewires Signaling Networks Away from a Pro-growth State.

Francesca Sacco1, Alessandra Silvestri2, Daniela Posca2, Stefano Pirrò2, Pier Federico Gherardini2, Luisa Castagnoli2, Matthias Mann3, Gianni Cesareni4.   

Abstract

Metformin is the most frequently prescribed drug for type 2 diabetes. In addition to its hypoglycemic effects, metformin also lowers cancer incidence. This anti-cancer activity is incompletely understood. Here, we profiled the metformin-dependent changes in the proteome and phosphoproteome of breast cancer cells using high-resolution mass spectrometry. In total, we quantified changes of 7,875 proteins and 15,813 phosphosites after metformin changes. To interpret these datasets, we developed a generally applicable strategy that overlays metformin-dependent changes in the proteome and phosphoproteome onto a literature-derived network. This approach suggested that metformin treatment makes cancer cells more sensitive to apoptotic stimuli and less sensitive to pro-growth stimuli. These hypotheses were tested in vivo; as a proof-of-principle, we demonstrated that metformin inhibits the p70S6K-rpS6 axis in a PP2A-phosphatase dependent manner. In conclusion, analysis of deep proteomics reveals both detailed and global mechanisms that contribute to the anti-cancer activity of metformin.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27135362     DOI: 10.1016/j.cels.2016.02.005

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  34 in total

1.  Peptidome profiling of human serum of uveal melanoma patients based on magnetic bead fractionation and mass spectrometry.

Authors:  Xiang-Yu Shi; Qing Li; Wen-Bin Wei; Li-Ming Tao
Journal:  Int J Ophthalmol       Date:  2017-06-18       Impact factor: 1.779

2.  Surfactant and Chaotropic Agent Assisted Sequential Extraction/On-Pellet Digestion (SCAD) for Enhanced Proteomics.

Authors:  Fengfei Ma; Fabao Liu; Wei Xu; Lingjun Li
Journal:  J Proteome Res       Date:  2018-07-09       Impact factor: 4.466

Review 3.  Pediatric Clinical Endpoint and Pharmacodynamic Biomarkers: Limitations and Opportunities.

Authors:  Jean C Dinh; Chelsea M Hosey-Cojocari; Bridgette L Jones
Journal:  Paediatr Drugs       Date:  2020-02       Impact factor: 3.022

4.  A case of liver hemangioma with markedly reduced tumor size after metformin treatment: a case report.

Authors:  Minoru Ono; Koji Sawada; Toshikatsu Okumura
Journal:  Clin J Gastroenterol       Date:  2016-12-19

5.  Proteome-wide Analysis Reveals Substrates of E3 Ligase RNF146 Targeted for Degradation.

Authors:  Litong Nie; Chao Wang; Nan Li; Xu Feng; Namsoo Lee; Dan Su; Mengfan Tang; Fan Yao; Junjie Chen
Journal:  Mol Cell Proteomics       Date:  2020-09-21       Impact factor: 5.911

6.  Comprehensive Characterization of the Recombinant Catalytic Subunit of cAMP-Dependent Protein Kinase by Top-Down Mass Spectrometry.

Authors:  Zhijie Wu; Yutong Jin; Bifan Chen; Morgan K Gugger; Chance L Wilkinson-Johnson; Timothy N Tiambeng; Song Jin; Ying Ge
Journal:  J Am Soc Mass Spectrom       Date:  2019-12-02       Impact factor: 3.109

7.  Proteome-Wide Evaluation of Two Common Protein Quantification Methods.

Authors:  Jeremy D O'Connell; Joao A Paulo; Jonathon J O'Brien; Steven P Gygi
Journal:  J Proteome Res       Date:  2018-04-19       Impact factor: 4.466

8.  Context-enriched interactome powered by proteomics helps the identification of novel regulators of macrophage activation.

Authors:  Arda Halu; Jian-Guo Wang; Hiroshi Iwata; Alexander Mojcher; Ana Luisa Abib; Sasha A Singh; Masanori Aikawa; Amitabh Sharma
Journal:  Elife       Date:  2018-10-10       Impact factor: 8.140

9.  Topological alternate centrality measure capturing drug targets in the network of MAPK pathways.

Authors:  V K Md Aksam; V M Chandrasekaran; Sundaramurthy Pandurangan
Journal:  IET Syst Biol       Date:  2018-10       Impact factor: 1.615

Review 10.  Combining Mass Spectrometry-Based Phosphoproteomics with a Network-Based Approach to Reveal FLT3-Dependent Mechanisms of Chemoresistance.

Authors:  Giusj Monia Pugliese; Sara Latini; Giorgia Massacci; Livia Perfetto; Francesca Sacco
Journal:  Proteomes       Date:  2021-04-27
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