title: Combined Application of RGB Marking and Mass Spectrometric Imaging Facilitates Detection of Tumor Heterogeneity.
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.
authors.affiliation: Research Department of Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
authors.forename: Pierre
authors.initials: P
authors.lastname: Abramowski
authors.affiliation: Mass Spectrometric Proteome Analysis, Department of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
authors.forename: Olga
authors.initials: O
authors.lastname: Kraus
authors.affiliation: Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Hamburg, Germany.
authors.forename: Sascha
authors.initials: S
authors.lastname: Rohn
authors.affiliation: Research Department of Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
authors.forename: Kristoffer
authors.initials: K
authors.lastname: Riecken
authors.affiliation: Research Department of Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany fehse@uke.de hschluet@uke.de.
authors.forename: Boris
authors.initials: B
authors.lastname: Fehse
authors.affiliation: Mass Spectrometric Proteome Analysis, Department of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany fehse@uke.de hschluet@uke.de.
authors.forename: Hartmut
authors.initials: H
authors.lastname: Schlüter
mesh_terms: D000818:Animals; D045744:Cell Line, Tumor; D003116:Color; D018740:Genetic Heterogeneity; D057809:HEK293 Cells; D006801:Humans; D021621:Imaging, Three-Dimensional; D008113:Liver Neoplasms / Q000473:pathology*; D013058:Mass Spectrometry / Q000379:methods*; D051379:Mice
keywords: MSI; Mass spectrometric imaging; RGB marking; lentiviral vectors; proteomics; tumor heterogeneity