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Multimodal analysis of formalin-fixed and paraffin-embedded tissue by MALDI imaging and fluorescence in situ hybridization for combined genetic and metabolic analysis.
Lab. Invest. 99, 1535-1546 (2019)
Multimodal tissue analyses that combine two or more detection technologies provide synergistic value compared to single methods and are employed increasingly in the field of tissue-based diagnostics and research. Here, we report a technical pipeline that describes a combined approach of HER2/CEP17 fluorescence in situ hybridization (FISH) analysis with MALDI imaging on the very same section of formalin-fixed and paraffin-embedded (FFPE) tissue. FFPE biopsies and a tissue microarray of human gastroesophageal adenocarcinoma were analyzed by MALDI imaging. Subsequently, the very same section was hybridized by HER2/CEP17 FISH. We found that tissue morphology of both, the biopsies and the tissue microarray, was unaffected by MALDI imaging and the HER2 and CEP17 FISH signals were analyzable. In comparison with FISH analysis of samples without MALDI imaging, we observed no difference in terms of fluorescence signal intensity and gene copy number. Our combined approach revealed adenosine monophosphate, measured by MALDI imaging, as a prognostic marker. HER2 amplification, which was detected by FISH, is a stratifier between good and poor patient prognosis. By integrating both stratification parameters on the basis of our combined approach, we were able to strikingly improve the prognostic effect. Combining molecules detected by MALDI imaging with the gene copy number detected by HER2/CEP17 FISH, we found a synergistic effect, which enhances patient prognosis. This study shows that our combined approach allows the detection of genetic and metabolic properties from one very same FFPE tissue section, which are specific for HER2 and hence suitable for prognosis. Furthermore, this synergism might be useful for response prediction in tumors.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
3.684
1.093
3
4
Anmerkungen
Besondere Publikation
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Mass-spectrometry; Clinical Pathology; Prostate-cancer; Breast-cancer; Her2; Trastuzumab; Growth
Sprache
englisch
Veröffentlichungsjahr
2019
HGF-Berichtsjahr
2019
ISSN (print) / ISBN
0023-6837
e-ISSN
1530-0307
Zeitschrift
Laboratory Investigation
Quellenangaben
Band: 99,
Heft: 10,
Seiten: 1535-1546
Verlag
Nature Publishing Group
Verlagsort
75 Varick St, 9th Flr, New York, Ny 10013-1917 Usa
Begutachtungsstatus
Peer reviewed
Institut(e)
Research Unit Analytical Pathology (AAP)
CF Pathology & Tissue Analytics (CF-PTA)
CF Pathology & Tissue Analytics (CF-PTA)
POF Topic(s)
30205 - Bioengineering and Digital Health
30505 - New Technologies for Biomedical Discoveries
30505 - New Technologies for Biomedical Discoveries
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-500390-001
A-630600-001
A-630600-001
WOS ID
WOS:000493299100010
Scopus ID
85066851978
PubMed ID
31148595
Erfassungsdatum
2019-06-05