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      A Time-Based and Intratumoral Proteomic Assessment of a Recurrent Glioblastoma Multiforme

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          Abstract

          Tumors consist of cells in different stages of transformation with molecular and cellular heterogeneity. By far, heterogeneity is the hallmark of glioblastoma multiforme (GBM), the most malignant and aggressive type of glioma. Most proteomic studies aim in comparing tumors from different patients, but here we dive into exploring the intratumoral proteome diversity of a single GBM. For this, we profiled tumor fragments from the profound region of the same patient’s GBM but obtained from two surgeries a year’s time apart. Our analysis also included GBM‘s fragments from different anatomical regions. Our quantitative proteomic strategy employed 4-plex iTRAQ peptide labeling followed by a four-step strong cation chromatographic separation; each fraction was then analyzed by reversed-phase nano-chromatography coupled on-line with an Orbitrap-Velos mass spectrometer. Unsupervised clustering grouped the proteomic profiles into four major distinct groups and showed that most changes were related to the tumor’s anatomical region. Nevertheless, we report differentially abundant proteins from GBM’s fragments of the same region but obtained 1 year apart. We discuss several key proteins (e.g., S100A9) and enriched pathways linked with GBM such as the Ras pathway, RHO GTPases activate PKNs, and those related to apoptosis, to name a few. As far as we know, this is the only report that compares GBM fragments proteomic profiles from the same patient. Ultimately, our results fuel the forefront of scientific discussion on the importance in exploring the richness of subproteomes within a single tissue sample for a better understanding of the disease, as each tumor is unique.

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          Most cited references51

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          Evolutionary dynamics of carcinogenesis and why targeted therapy does not work.

          All malignant cancers, whether inherited or sporadic, are fundamentally governed by Darwinian dynamics. The process of carcinogenesis requires genetic instability and highly selective local microenvironments, the combination of which promotes somatic evolution. These microenvironmental forces, specifically hypoxia, acidosis and reactive oxygen species, are not only highly selective, but are also able to induce genetic instability. As a result, malignant cancers are dynamically evolving clades of cells living in distinct microhabitats that almost certainly ensure the emergence of therapy-resistant populations. Cytotoxic cancer therapies also impose intense evolutionary selection pressures on the surviving cells and thus increase the evolutionary rate. Importantly, the principles of Darwinian dynamics also embody fundamental principles that can illuminate strategies for the successful management of cancer.
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            Intratumor heterogeneity: seeing the wood for the trees.

            Most advanced solid tumors remain incurable, with resistance to chemotherapeutics and targeted therapies a common cause of poor clinical outcome. Intratumor heterogeneity may contribute to this failure by initiating phenotypic diversity enabling drug resistance to emerge and by introducing tumor sampling bias. Envisaging tumor growth as a Darwinian tree with the trunk representing ubiquitous mutations and the branches representing heterogeneous mutations may help in drug discovery and the development of predictive biomarkers of drug response.
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              Electrostatic axially harmonic orbital trapping: a high-performance technique of mass analysis

              This work describes a new type of mass analyzer which employs trapping in an electrostatic field. The potential distribution of the field can be represented as a combination of quadrupole and logarithmic potentials. In the absence of any magnetic or rf fields, ion stability is achieved only due to ions orbiting around an axial electrode. Orbiting ions also perform harmonic oscillations along the electrode with frequency proportional to (m/z)-1/2. These oscillations are detected using image current detection and are transformed into mass spectra using fast FT, similarly to FTICR. Practical aspects of the trap design are presented. High-mass resolution up to 150,000 for ions produced by laser ablation has been demonstrated, along with high-energy acceptance and wide mass range.
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                Author and article information

                Contributors
                URI : http://frontiersin.org/people/u/367698
                URI : http://frontiersin.org/people/u/127334
                URI : http://frontiersin.org/people/u/133553
                URI : http://frontiersin.org/people/u/366214
                URI : http://frontiersin.org/people/u/354179
                URI : http://frontiersin.org/people/u/367897
                URI : http://frontiersin.org/people/u/367425
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                22 August 2016
                2016
                : 6
                : 183
                Affiliations
                [1] 1Laboratory of Microbial Diversity from Amazon with Importance for Health, Instituto Leônidas e Maria Deane, Fiocruz , Manaus, Amazonas, Brazil
                [2] 2Laboratory for Proteomics and Protein Engineering, Carlos Chagas Institute, Fiocruz , Curitiba, Paraná, Brazil
                [3] 3Laboratory of Toxinology, Instituto Oswaldo Cruz, Fiocruz , Rio de Janeiro, Brazil
                [4] 4Laboratory for Protein Chemistry, Chemistry Institute, Federal University of Rio de Janeiro , Rio de Janeiro, Brazil
                [5] 5Department of General and Specialized Surgery, Antonio Pedro University Hospital, Fluminense Federal University , Rio de Janeiro, Brazil
                [6] 6Department of Neurosurgery, Ipanema Federal Hospital , Rio de Janeiro, Brazil
                [7] 7Laboratory of Molecular Pathology, Department of Pathology, University Hospital Clementino Fraga Filho, Federal University of Rio de Janeiro , Rio de Janeiro, Brazil
                Author notes

                Edited by: Aline Maria Araujo Martins, University of Brasília, Brazil

                Reviewed by: Jean-François Michel Rual, University of Michigan, USA; Arthur Henriques Pontes, University of Brasília, Brazil; Wagner Fontes, University of Brasília, Brazil

                *Correspondence: Juliana de Saldanha da Gama Fischer, julifr@ 123456gmail.com

                Priscila F. de Aquino and Paulo Costa Carvalho contributed equally.

                Specialty section: This article was submitted to Cancer Imaging and Diagnosis, a section of the journal Frontiers in Oncology

                Article
                10.3389/fonc.2016.00183
                4992702
                27597932
                0eada188-a99c-4357-8628-b32f1204125e
                Copyright © 2016 de Aquino, Carvalho, Nogueira, da Fonseca, Souza Silva, Carvalho, Domont, Zanchin and Fischer.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 28 April 2016
                : 02 August 2016
                Page count
                Figures: 5, Tables: 1, Equations: 0, References: 59, Pages: 10, Words: 7325
                Categories
                Oncology
                Original Research

                Oncology & Radiotherapy
                glioblastoma multiforme,molecular heterogeneity,quantitative proteomics,itraq

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