Literature DB >> 25670172

Phosphotyrosine signaling analysis in human tumors is confounded by systemic ischemia-driven artifacts and intra-specimen heterogeneity.

Aaron S Gajadhar1, Hannah Johnson1, Robbert J C Slebos2, Kent Shaddox3, Kerry Wiles4, Mary Kay Washington5, Alan J Herline6, Douglas A Levine7, Daniel C Liebler8, Forest M White9.   

Abstract

Tumor protein phosphorylation analysis may provide insight into intracellular signaling networks underlying tumor behavior, revealing diagnostic, prognostic or therapeutic information. Human tumors collected by The Cancer Genome Atlas program potentially offer the opportunity to characterize activated networks driving tumor progression, in parallel with the genetic and transcriptional landscape already documented for these tumors. However, a critical question is whether cellular signaling networks can be reliably analyzed in surgical specimens, where freezing delays and spatial sampling disparities may potentially obscure physiologic signaling. To quantify the extent of these effects, we analyzed the stability of phosphotyrosine (pTyr) sites in ovarian and colon tumors collected under conditions of controlled ischemia and in the context of defined intratumoral sampling. Cold-ischemia produced a rapid, unpredictable, and widespread impact on tumor pTyr networks within 5 minutes of resection, altering up to 50% of pTyr sites by more than 2-fold. Effects on adhesion and migration, inflammatory response, proliferation, and stress response pathways were recapitulated in both ovarian and colon tumors. In addition, sampling of spatially distinct colon tumor biopsies revealed pTyr differences as dramatic as those associated with ischemic times, despite uniform protein expression profiles. Moreover, intratumoral spatial heterogeneity and pTyr dynamic response to ischemia varied dramatically between tumors collected from different patients. Overall, these findings reveal unforeseen phosphorylation complexity, thereby increasing the difficulty of extracting physiologically relevant pTyr signaling networks from archived tissue specimens. In light of this data, prospective tumor pTyr analysis will require appropriate sampling and collection protocols to preserve in vivo signaling features. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 25670172      PMCID: PMC4383696          DOI: 10.1158/0008-5472.CAN-14-2309

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  42 in total

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Review 9.  Influence of tumour micro-environment heterogeneity on therapeutic response.

Authors:  Melissa R Junttila; Frederic J de Sauvage
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  22 in total

Review 1.  Cell signaling regulation by protein phosphorylation: a multivariate, heterogeneous, and context-dependent process.

Authors:  Evan K Day; Nisha G Sosale; Matthew J Lazzara
Journal:  Curr Opin Biotechnol       Date:  2016-07-06       Impact factor: 9.740

2.  P-MartCancer-Interactive Online Software to Enable Analysis of Shotgun Cancer Proteomic Datasets.

Authors:  Bobbie-Jo M Webb-Robertson; Lisa M Bramer; Jeffrey L Jensen; Markus A Kobold; Kelly G Stratton; Amanda M White; Karin D Rodland
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

Review 3.  Effective implementation of novel MET pharmacodynamic assays in translational studies.

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Authors:  You Wu; Jeremy Gaskins; Maiying Kong; Susmita Datta
Journal:  Biometrics       Date:  2017-07-25       Impact factor: 2.571

5.  Type 1 diabetes cadaveric human pancreata exhibit a unique exocrine tissue proteomic profile.

Authors:  Chih-Wei Liu; Mark A Atkinson; Qibin Zhang
Journal:  Proteomics       Date:  2016-04-13       Impact factor: 3.984

6.  Quantitative Profiling of Protein Tyrosine Kinases in Human Cancer Cell Lines by Multiplexed Parallel Reaction Monitoring Assays.

Authors:  Hye-Jung Kim; De Lin; Hyoung-Joo Lee; Ming Li; Daniel C Liebler
Journal:  Mol Cell Proteomics       Date:  2015-12-02       Impact factor: 5.911

Review 7.  Common errors in mass spectrometry-based analysis of post-translational modifications.

Authors:  Min-Sik Kim; Jun Zhong; Akhilesh Pandey
Journal:  Proteomics       Date:  2016-03       Impact factor: 3.984

8.  P-Mart: Interactive Analysis of Ion Abundance Global Proteomics Data.

Authors:  Lisa M Bramer; Kelly G Stratton; Amanda M White; Ameila H Bleeker; Markus A Kobold; Katrina M Waters; Thomas O Metz; Karin D Rodland; Bobbie-Jo M Webb-Robertson
Journal:  J Proteome Res       Date:  2019-02-06       Impact factor: 4.466

9.  Characterization of In Vivo Resistance to Osimertinib and JNJ-61186372, an EGFR/Met Bispecific Antibody, Reveals Unique and Consensus Mechanisms of Resistance.

Authors:  Kristina B Emdal; Antje Dittmann; Raven J Reddy; Rebecca S Lescarbeau; Sheri L Moores; Sylvie Laquerre; Forest M White
Journal:  Mol Cancer Ther       Date:  2017-08-22       Impact factor: 6.261

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Journal:  Cancer Res       Date:  2016-03-09       Impact factor: 12.701

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