Literature DB >> 22547687

Phosphoproteomic analysis of leukemia cells under basal and drug-treated conditions identifies markers of kinase pathway activation and mechanisms of resistance.

Maria P Alcolea1, Pedro Casado, Juan-Carlos Rodríguez-Prados, Bart Vanhaesebroeck, Pedro R Cutillas.   

Abstract

Protein kinase signaling is fundamental to cell homeostasis and is deregulated in all cancers but varies between patients. Understanding the mechanisms underlying this heterogeneity is critical for personalized targeted therapies. Here, we used a recently established LC-MS/MS platform to profile protein phosphorylation in acute myeloid leukemia cell lines with different sensitivities to kinase inhibitors. The compounds used in this study were originally developed to target Janus kinase, phosphatidylinositol 3-kinase, and MEK. After further validation of the technique, we identified several phosphorylation sites that were inhibited by these compounds but whose intensities did not always correlate with growth inhibition sensitivity. In contrast, several hundred phosphorylation sites that correlated with sensitivity/resistance were not in general inhibited by the compounds. These results indicate that markers of pathway activity may not always be reliable indicators of sensitivity of cancer cells to inhibitors that target such pathways, because the activity of parallel kinases can contribute to resistance. By mining our data we identified protein kinase C isoforms as one of such parallel pathways being more active in resistant cells. Consistent with the view that several parallel kinase pathways were contributing to resistance, inhibitors that target protein kinase C, MEK, and Janus kinase potentiated each other in arresting the proliferation of multidrug-resistant cells. Untargeted/unbiased approaches, such as the one described here, to quantify the activity of the intended target kinase pathway in concert with the activities of parallel kinase pathways will be invaluable to personalize therapies based on kinase inhibitors.

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Year:  2012        PMID: 22547687      PMCID: PMC3412974          DOI: 10.1074/mcp.M112.017483

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  59 in total

1.  Strategies for determination of insulin with tandem electrospray mass spectrometry: implications for other analyte proteins?

Authors:  C Fierens; D Stöckl; L M Thienpont; A P De Leenheer
Journal:  Rapid Commun Mass Spectrom       Date:  2001       Impact factor: 2.419

Review 2.  Preclinical strategies to define predictive biomarkers for therapeutically relevant cancer subtypes.

Authors:  Marina Pajic; Christopher J Scarlett; David K Chang; Robert L Sutherland; Andrew V Biankin
Journal:  Hum Genet       Date:  2011-04-23       Impact factor: 4.132

3.  A self-validating quantitative mass spectrometry method for assessing the accuracy of high-content phosphoproteomic experiments.

Authors:  Pedro Casado; Pedro R Cutillas
Journal:  Mol Cell Proteomics       Date:  2010-10-24       Impact factor: 5.911

4.  Cancer: drivers and passengers.

Authors:  Daniel A Haber; Jeff Settleman
Journal:  Nature       Date:  2007-03-08       Impact factor: 49.962

Review 5.  Analytical strategies for phosphoproteomics.

Authors:  Tine E Thingholm; Ole N Jensen; Martin R Larsen
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

6.  Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.

Authors:  Jesper V Olsen; Blagoy Blagoev; Florian Gnad; Boris Macek; Chanchal Kumar; Peter Mortensen; Matthias Mann
Journal:  Cell       Date:  2006-11-03       Impact factor: 41.582

7.  Multicenter phase II study of the oral MEK inhibitor, CI-1040, in patients with advanced non-small-cell lung, breast, colon, and pancreatic cancer.

Authors:  John Rinehart; Alex A Adjei; Patricia M Lorusso; David Waterhouse; J Randolph Hecht; Ronald B Natale; Oday Hamid; Mary Varterasian; Peggy Asbury; Eric P Kaldjian; Stephen Gulyas; David Y Mitchell; Roman Herrera; Judith S Sebolt-Leopold; Mark B Meyer
Journal:  J Clin Oncol       Date:  2004-10-13       Impact factor: 44.544

8.  Kinase requirements in human cells: I. Comparing kinase requirements across various cell types.

Authors:  Dorre A Grueneberg; Sebastien Degot; Joseph Pearlberg; Wenliang Li; Joan E Davies; Amy Baldwin; Wilson Endege; John Doench; Jacqueline Sawyer; Yanhui Hu; Frederick Boyce; Jun Xian; Karl Munger; Ed Harlow
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-23       Impact factor: 11.205

9.  Global survey of phosphotyrosine signaling identifies oncogenic kinases in lung cancer.

Authors:  Klarisa Rikova; Ailan Guo; Qingfu Zeng; Anthony Possemato; Jian Yu; Herbert Haack; Julie Nardone; Kimberly Lee; Cynthia Reeves; Yu Li; Yerong Hu; Zhiping Tan; Matthew Stokes; Laura Sullivan; Jeffrey Mitchell; Randy Wetzel; Joan Macneill; Jian Min Ren; Jin Yuan; Corey E Bakalarski; Judit Villen; Jon M Kornhauser; Bradley Smith; Daiqiang Li; Xinmin Zhou; Steven P Gygi; Ting-Lei Gu; Roberto D Polakiewicz; John Rush; Michael J Comb
Journal:  Cell       Date:  2007-12-14       Impact factor: 41.582

Review 10.  Targeting the cancer kinome through polypharmacology.

Authors:  Zachary A Knight; Henry Lin; Kevan M Shokat
Journal:  Nat Rev Cancer       Date:  2010-02       Impact factor: 60.716

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  33 in total

1.  Maximizing peptide identification events in proteomic workflows using data-dependent acquisition (DDA).

Authors:  Nicholas W Bateman; Scott P Goulding; Nicholas J Shulman; Avinash K Gadok; Karen K Szumlinski; Michael J MacCoss; Christine C Wu
Journal:  Mol Cell Proteomics       Date:  2013-07-02       Impact factor: 5.911

2.  Time-resolved luminescence detection of spleen tyrosine kinase activity through terbium sensitization.

Authors:  Andrew M Lipchik; Laurie L Parker
Journal:  Anal Chem       Date:  2013-02-15       Impact factor: 6.986

3.  Reduced-representation Phosphosignatures Measured by Quantitative Targeted MS Capture Cellular States and Enable Large-scale Comparison of Drug-induced Phenotypes.

Authors:  Jennifer G Abelin; Jinal Patel; Xiaodong Lu; Caitlin M Feeney; Lola Fagbami; Amanda L Creech; Roger Hu; Daniel Lam; Desiree Davison; Lindsay Pino; Jana W Qiao; Eric Kuhn; Adam Officer; Jianxue Li; Susan Abbatiello; Aravind Subramanian; Richard Sidman; Evan Snyder; Steven A Carr; Jacob D Jaffe
Journal:  Mol Cell Proteomics       Date:  2016-02-24       Impact factor: 5.911

4.  Phosphotyrosine-based Phosphoproteomics for Target Identification and Drug Response Prediction in AML Cell Lines.

Authors:  Carolien van Alphen; Jacqueline Cloos; Robin Beekhof; David G J Cucchi; Sander R Piersma; Jaco C Knol; Alex A Henneman; Thang V Pham; Johan van Meerloo; Gert J Ossenkoppele; Henk M W Verheul; Jeroen J W M Janssen; Connie R Jimenez
Journal:  Mol Cell Proteomics       Date:  2020-02-26       Impact factor: 5.911

Review 5.  Is phosphoproteomics ready for clinical research?

Authors:  Anton B Iliuk; W Andy Tao
Journal:  Clin Chim Acta       Date:  2012-11-13       Impact factor: 3.786

Review 6.  Analytical challenges translating mass spectrometry-based phosphoproteomics from discovery to clinical applications.

Authors:  Anton B Iliuk; Justine V Arrington; Weiguo Andy Tao
Journal:  Electrophoresis       Date:  2014-07-10       Impact factor: 3.535

7.  Cross-species proteomics reveals specific modulation of signaling in cancer and stromal cells by phosphoinositide 3-kinase (PI3K) inhibitors.

Authors:  Vinothini Rajeeve; Iolanda Vendrell; Edmund Wilkes; Neil Torbett; Pedro R Cutillas
Journal:  Mol Cell Proteomics       Date:  2014-03-19       Impact factor: 5.911

8.  Empirical inference of circuitry and plasticity in a kinase signaling network.

Authors:  Edmund H Wilkes; Camille Terfve; John G Gribben; Julio Saez-Rodriguez; Pedro Rodriguez Cutillas
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-09       Impact factor: 11.205

9.  Reconstructing kinase network topologies from phosphoproteomics data reveals cancer-associated rewiring.

Authors:  Maruan Hijazi; Ryan Smith; Vinothini Rajeeve; Conrad Bessant; Pedro R Cutillas
Journal:  Nat Biotechnol       Date:  2020-01-20       Impact factor: 54.908

10.  Environmental stress affects the activity of metabolic and growth factor signaling networks and induces autophagy markers in MCF7 breast cancer cells.

Authors:  Pedro Casado; Benoit Bilanges; Vinothini Rajeeve; Bart Vanhaesebroeck; Pedro R Cutillas
Journal:  Mol Cell Proteomics       Date:  2014-01-14       Impact factor: 5.911

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