Literature DB >> 26136218

Combined Application of RGB Marking and Mass Spectrometric Imaging Facilitates Detection of Tumor Heterogeneity.

Pierre Abramowski1, Olga Kraus2, Sascha Rohn3, Kristoffer Riecken1, Boris Fehse4, Hartmut Schlüter5.   

Abstract

Cancer-cell heterogeneity dramatically influences treatment success, but escapes detection by classical histology. Mass-spectrometric imaging (MSI) represents a powerful method for visualizing the spatial distribution of proteins in tissue sections. Herein we asked whether MSI also facilitates detection of tumor heterogeneity. We first transduced the human neuroendocrine-carcinoma BON cell line following the red-green-blue (RGB) marking principle. RGB marking allows for specific color-coding of individual clones. Mice transplanted with RGB-marked BON cells developed liver tumors. We identified 16 primary tumors clearly distinguishable by histology and fluorescence imaging, but also based on a common tumor-specific signal pattern detected by MSI. Importantly, this pattern was clearly confined to tumor tissue while was absent from surrounding liver tissue. At the same time, we observed protein signals differentially present in a few or even single tumors. Since these signals were independent of RGB marking, they apparently reflected unique intrinsic protein-signal patterns of individual tumors. Thus, our data propose MSI as a tool for identifying divergent tissue by 'fingerprints' of protein signals, allowing not only for differentiation of tumor from healthy tissue but also detection of tumor heterogeneity. In conclusion, by visualizing tumor heterogeneity, MSI ideally complements microscopy-based methods. This might help to better understand tumor biology and develop future treatment strategies. Copyright
© 2015, International Institute of Anticancer Research (Dr. John G. Delinasios), All rights reserved.

Entities:  

Keywords:  MSI; Mass spectrometric imaging; RGB marking; lentiviral vectors; proteomics; tumor heterogeneity

Mesh:

Year:  2015        PMID: 26136218

Source DB:  PubMed          Journal:  Cancer Genomics Proteomics        ISSN: 1109-6535            Impact factor:   4.069


  4 in total

1.  X-ray-Based Techniques to Study the Nano-Bio Interface.

Authors:  Carlos Sanchez-Cano; Ramon A Alvarez-Puebla; John M Abendroth; Tobias Beck; Robert Blick; Yuan Cao; Frank Caruso; Indranath Chakraborty; Henry N Chapman; Chunying Chen; Bruce E Cohen; Andre L C Conceição; David P Cormode; Daxiang Cui; Kenneth A Dawson; Gerald Falkenberg; Chunhai Fan; Neus Feliu; Mingyuan Gao; Elisabetta Gargioni; Claus-C Glüer; Florian Grüner; Moustapha Hassan; Yong Hu; Yalan Huang; Samuel Huber; Nils Huse; Yanan Kang; Ali Khademhosseini; Thomas F Keller; Christian Körnig; Nicholas A Kotov; Dorota Koziej; Xing-Jie Liang; Beibei Liu; Sijin Liu; Yang Liu; Ziyao Liu; Luis M Liz-Marzán; Xiaowei Ma; Andres Machicote; Wolfgang Maison; Adrian P Mancuso; Saad Megahed; Bert Nickel; Ferdinand Otto; Cristina Palencia; Sakura Pascarelli; Arwen Pearson; Oula Peñate-Medina; Bing Qi; Joachim Rädler; Joseph J Richardson; Axel Rosenhahn; Kai Rothkamm; Michael Rübhausen; Milan K Sanyal; Raymond E Schaak; Heinz-Peter Schlemmer; Marius Schmidt; Oliver Schmutzler; Theo Schotten; Florian Schulz; A K Sood; Kathryn M Spiers; Theresa Staufer; Dominik M Stemer; Andreas Stierle; Xing Sun; Gohar Tsakanova; Paul S Weiss; Horst Weller; Fabian Westermeier; Ming Xu; Huijie Yan; Yuan Zeng; Ying Zhao; Yuliang Zhao; Dingcheng Zhu; Ying Zhu; Wolfgang J Parak
Journal:  ACS Nano       Date:  2021-03-02       Impact factor: 15.881

2.  Intratumor heterogeneity, variability and plasticity: questioning the current concepts in classification and treatment of hepatocellular carcinoma.

Authors:  Ralf Weiskirchen
Journal:  Hepatobiliary Surg Nutr       Date:  2016-04       Impact factor: 7.293

3.  Clonal dynamics in osteosarcoma defined by RGB marking.

Authors:  Stefano Gambera; Ander Abarrategi; Fernando González-Camacho; Álvaro Morales-Molina; Josep Roma; Arantzazu Alfranca; Javier García-Castro
Journal:  Nat Commun       Date:  2018-09-28       Impact factor: 14.919

4.  Integration of Multiple Platforms for the Analysis of Multifluorescent Marking Technology Applied to Pediatric GBM and DIPG.

Authors:  Giulia Pericoli; Stefania Petrini; Ezio Giorda; Roberta Ferretti; Maria Antonietta Ajmone-Cat; Will Court; Libenzio Adrian Conti; Roberta De Simone; Paola Bencivenga; Alessia Palma; Angela Di Giannatale; Chris Jones; Andrea Carai; Angela Mastronuzzi; Emmanuel de Billy; Franco Locatelli; Maria Vinci
Journal:  Int J Mol Sci       Date:  2020-09-15       Impact factor: 5.923

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.