Typing of colon and lung adenocarcinoma by high throughput imaging mass spectrometry

Kriegsmann, Mark; Longuespée, Rémi; Wandernoth, Petra; Mohanu, Cristina; Lisenko, Katharina; Weichert, Wilko; Warth, Arne; Dienemann, Hendrik; Pauw, Edwin De; Katzenberger, Tiemo; Aust, Daniela E.; Baretton, Gustavo; Kriegsmann, Joerg; Casadonte, Rita

doi:10.1016/j.bbapap.2016.11.018

Cited by 20 publications

(23 citation statements)

References 41 publications

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“…When comparing various tumor types, we could show that the specificity of the discrimination of these tumors depended strongly on the annotation of the area of interest. When applying this technique randomly to the complete tissue cores, the specificity of discrimination was about 67% whereas acquisition of peaks in preselected tumor areas resulted in increased specificity of >95% …”

Section: Discussionmentioning

confidence: 99%

MALDI Imaging for Proteomic Painting of Heterogeneous Tissue Structures

Kriegsmann¹,

Kriegsmann

Kriegsmann³

et al. 2018

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Purpose To present matrix‐assisted laser desorption/ionization (MALDI) imaging as a powerful method to highlight various tissue compartments. Experimental design Formalin‐fixed paraffin‐embedded (FFPE) tissue of a uterine cervix, a pancreas, a duodenum, a teratoma, and a breast cancer tissue microarray (TMA) are analyzed by MALDI imaging and by immunohistochemistry (IHC). Peptide images are visualized and analyzed using FlexImaging and SCiLS Lab software. Different histological compartments are compared by hierarchical cluster analysis. Results MALDI imaging highlights tissue compartments comparable to IHC. In cervical tissue, normal epithelium can be discerned from intraepithelial neoplasia. In pancreatic and duodenal tissues, m/z signals from lymph follicles, vessels, duodenal mucosa, normal pancreas, and smooth muscle structures can be visualized. In teratoma, specific m/z signals to discriminate squamous epithelium, sebaceous glands, and soft tissue are detected. Additionally, tumor tissue can be discerned from the surrounding stroma in small tissue cores of TMAs. Proteomic data acquisition of complex tissue compartments in FFPE tissue requires less than 1 h with recent mass spectrometers. Conclusion and clinical relevance The simultaneous characterization of morphological and proteomic features in the same tissue section adds proteomic information for histopathological diagnostics, which relies at present on conventional hematoxylin and eosin staining, histochemical, IHC and molecular methods.

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Section: Discussionmentioning

confidence: 99%

MALDI Imaging for Proteomic Painting of Heterogeneous Tissue Structures

Kriegsmann¹,

Kriegsmann

Kriegsmann³

et al. 2018

Proteomics Clinical Apps

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“…Using this method, formalin‐fixed and paraffin‐embedded tissue sections can be investigated on the proteomic level using bottom‐up approaches without the need for target‐specific reagents . MSI has been applied for diagnostic subtyping and can also provide prognostic information, which has been demonstrated in various entities including for example lung, breast, pancreatic, colon, and skin cancer . Usually, tissue slides analyzed by MSI are subsequently stained by Hematoxylin and Eosin (H&E) in order to identify particular regions of interest (ROI) .…”

Section: Introductionmentioning

confidence: 99%

Combined Immunohistochemistry after Mass Spectrometry Imaging for Superior Spatial Information

Kriegsmann

Longuespée

Hundemer

et al. 2018

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“…Hundreds of proteolytic ions are detected simultaneously on a single formalin‐fixed paraffin‐embedded (FFPE) tissue section without the need for target‐specific reagents . In recent studies, MSI has been applied for diagnostic subtyping and to identify prognostic subgroups in various entities including lung, breast, pancreatic, colon, and skin cancer …”

Section: Introductionmentioning

confidence: 99%

“…Moreover, tissue microarrays (TMAs) are increasingly investigated by MSI as they can comprise hundreds of patient tissues on one section . Another advantage of using TMAs is the standardization of MSI measurements across all patient samples, its cost effectiveness, and a reduction of acquired data while preserving tissue representativity . MSI studies utilizing TMAs instead of full sections are increasingly performed, but data on the effect of differences in section thickness is not available to the best of our knowledge.…”

Section: Introductionmentioning

confidence: 99%