A new technological approach in diagnostic pathology: mass spectrometry imaging-based metabolomics for biomarker detection in urachal cancer

Neumann JM, Niehaus K, Neumann N, Knobloch HC, Bremmer F, Krafft U, Kellner U, Nyirady P, Szarvas T, Bednarz H, Reis H (2021)
Laboratory investigation.

Zeitschriftenaufsatz | E-Veröff. vor dem Druck | Englisch
 
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Autor*in
Neumann, Judith MarthaUniBi; Niehaus, KarstenUniBi; Neumann, NilsUniBi; Knobloch, Hans Christoph; Bremmer, Felix; Krafft, Ulrich; Kellner, Udo; Nyirady, Peter; Szarvas, Tibor; Bednarz, HannaUniBi; Reis, Henning
Abstract / Bemerkung
Urachal adenocarcinomas (UrC) are rare but aggressive. Despite being of profound therapeutic relevance, UrC cannot be differentiated by histomorphology alone from other adenocarcinomas of differential diagnostic importance. As no reliable tissue-based diagnostic biomarkers are available, we aimed to detect such by integrating mass-spectrometry imaging-based metabolomics and digital pathology, thus allowing for a multimodal approach on the basis of spatial information. To achieve this, a cohort of UrC (n=19) and colorectal adenocarcinomas (CRC, n=27) as the differential diagnosis of highest therapeutic relevance was created, tissue micro-arrays (TMAs) were constructed, and pathological data was recorded. Hematoxylin and eosin (H&E) stained tissue sections were scanned and annotated, enabling an automized discrimination of tumor and non-tumor areas after training of an adequate algorithm. Spectral information within tumor regions, obtained via matrix-assisted laser desorption/ionization (MALDI)-Orbitrap-mass spectrometry imaging (MSI), were subsequently extracted in an automated workflow. On this basis, metabolic differences between UrC and CRC were revealed using machine learning algorithms. As a result, the study demonstrated the feasibility of MALDI-MSI for the evaluation of FFPE tissue in UrC and CRC with the potential to combine spatial metabolomics data with annotated histopathological data from digitalized H&E slides. The detected Area under the curve (AUC) of 0.94 in general and 0.77 for the analyte taurine alone (diagnostic accuracy for taurine: 74%) makes the technology a promising tool in this differential diagnostic dilemma situation. Although the data has to be considered as a proof-of-concept study, it presents a new adoption of this technology that has not been used in this scenario in which reliable diagnostic biomarkers (such as immunohistochemical markers) are currently not available.
Erscheinungsjahr
2021
Zeitschriftentitel
Laboratory investigation
eISSN
1530-0307
Page URI
https://pub.uni-bielefeld.de/record/2955244

Zitieren

Neumann JM, Niehaus K, Neumann N, et al. A new technological approach in diagnostic pathology: mass spectrometry imaging-based metabolomics for biomarker detection in urachal cancer. Laboratory investigation. 2021.
Neumann, J. M., Niehaus, K., Neumann, N., Knobloch, H. C., Bremmer, F., Krafft, U., Kellner, U., et al. (2021). A new technological approach in diagnostic pathology: mass spectrometry imaging-based metabolomics for biomarker detection in urachal cancer. Laboratory investigation. https://doi.org/10.1038/s41374-021-00612-7
Neumann, J. M., Niehaus, K., Neumann, N., Knobloch, H. C., Bremmer, F., Krafft, U., Kellner, U., Nyirady, P., Szarvas, T., Bednarz, H., et al. (2021). A new technological approach in diagnostic pathology: mass spectrometry imaging-based metabolomics for biomarker detection in urachal cancer. Laboratory investigation.
Neumann, J.M., et al., 2021. A new technological approach in diagnostic pathology: mass spectrometry imaging-based metabolomics for biomarker detection in urachal cancer. Laboratory investigation.
J.M. Neumann, et al., “A new technological approach in diagnostic pathology: mass spectrometry imaging-based metabolomics for biomarker detection in urachal cancer”, Laboratory investigation, 2021.
Neumann, J.M., Niehaus, K., Neumann, N., Knobloch, H.C., Bremmer, F., Krafft, U., Kellner, U., Nyirady, P., Szarvas, T., Bednarz, H., Reis, H.: A new technological approach in diagnostic pathology: mass spectrometry imaging-based metabolomics for biomarker detection in urachal cancer. Laboratory investigation. (2021).
Neumann, Judith Martha, Niehaus, Karsten, Neumann, Nils, Knobloch, Hans Christoph, Bremmer, Felix, Krafft, Ulrich, Kellner, Udo, Nyirady, Peter, Szarvas, Tibor, Bednarz, Hanna, and Reis, Henning. “A new technological approach in diagnostic pathology: mass spectrometry imaging-based metabolomics for biomarker detection in urachal cancer”. Laboratory investigation (2021).

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