Universität zu Köln

Goertzen, Nina, Pappesch, Roberto, Fassunke, Jana, Bruening, Thomas, Ko, Yon-Dschun, Schmidt, Joachim, Grosserueschkamp, Frederik, Buettner, Reinhard and Gerwert, Klaus (2021). Quantum Cascade Laser-Based Infrared Imaging as a Label-Free and Automated Approach to Determine Mutations in Lung Adenocarcinoma. Am. J. Pathol., 191 (7). S. 1269 - 1281. NEW YORK: ELSEVIER SCIENCE INC. ISSN 1525-2191

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Abstract

Therapeutic decisions in lung cancer critically depend on the determination of histologic types and oncogene mutations. Therefore, tumor samples are subjected to standard histologic and immunohistochemical analyses and examined for relevant mutations using comprehensive molecular diagnostics. In this study, an alternative diagnostic approach for automatic and label-free detection of mutations in lung adenocarcinoma tissue using quantum cascade laser-based infrared imaging is presented. For this purpose, a five-step supervised classification algorithm was developed, which was not only able to detect tissue types and tumor lesions, but also the tumor type and mutation status of adenocarcinomas. Tumor detection was verified on a data set of 214 patient samples with a specificity of 97% and a sensitivity of 95%. Furthermore, histology typing was verified on samples from 203 of the 214 patients with a specificity of 97% and a sensitivity of 94% for adenocarcinoma. The most frequently occurring mutations in adenocarcinoma (KRAS, EGFR, and TP53) were differentiated by this technique. Detection of mutations was verified in 60 patient samples from the data set with a sensitivity and specificity of 95% for each mutation. This demonstrates that quantum cascade laser infrared imaging can be used to analyze morphologic differences as well as molecular changes. Therefore, this single, one-step measurement provides comprehensive diagnostics of lung cancer histology types and most frequent mutations.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Goertzen, Nina UNSPECIFIED UNSPECIFIED UNSPECIFIED Pappesch, Roberto UNSPECIFIED UNSPECIFIED UNSPECIFIED Fassunke, Jana UNSPECIFIED UNSPECIFIED UNSPECIFIED Bruening, Thomas UNSPECIFIED UNSPECIFIED UNSPECIFIED Ko, Yon-Dschun UNSPECIFIED UNSPECIFIED UNSPECIFIED Schmidt, Joachim UNSPECIFIED UNSPECIFIED UNSPECIFIED Grosserueschkamp, Frederik UNSPECIFIED UNSPECIFIED UNSPECIFIED Buettner, Reinhard UNSPECIFIED UNSPECIFIED UNSPECIFIED Gerwert, Klaus UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-585772
DOI:	10.1016/j.ajpath.2021.04.013
Journal or Publication Title:	Am. J. Pathol.
Volume:	191
Number:	7
Page Range:	S. 1269 - 1281
Date:	2021
Publisher:	ELSEVIER SCIENCE INC
Place of Publication:	NEW YORK
ISSN:	1525-2191
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SPECTRAL HISTOPATHOLOGY; CANCER; CLASSIFICATION; TISSUE; DIAGNOSIS; IR; MICROSPECTROSCOPY; HETEROGENEITY; HEMATOXYLIN; INHIBITORS Multiple languages Pathology Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/58577