Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes

Subtyping of non-small cell lung cancer (NSCLC) is paramount for therapy stratification. In this study, we analyzed the largest NSCLC cohort by mass spectrometry imaging (MSI) to date. We sought to test different classification algorithms and to validate results obtained in smaller patient cohorts....

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Main Authors: Mark Kriegsmann, Christiane Zgorzelski, Rita Casadonte, Kristina Schwamborn, Thomas Muley, Hauke Winter, Martin Eichhorn, Florian Eichhorn, Arne Warth, Soeren-Oliver Deininger, Petros Christopoulos, Michael Thomas, Thomas Longerich, Albrecht Stenzinger, Wilko Weichert, Carsten Müller-Tidow, Jörg Kriegsmann, Peter Schirmacher, Katharina Kriegsmann
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/9/2704
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spelling doaj-b0f459c218eb493d9efff27619e177132020-11-25T01:46:22ZengMDPI AGCancers2072-66942020-09-01122704270410.3390/cancers12092704Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer SubtypesMark Kriegsmann0Christiane Zgorzelski1Rita Casadonte2Kristina Schwamborn3Thomas Muley4Hauke Winter5Martin Eichhorn6Florian Eichhorn7Arne Warth8Soeren-Oliver Deininger9Petros Christopoulos10Michael Thomas11Thomas Longerich12Albrecht Stenzinger13Wilko Weichert14Carsten Müller-Tidow15Jörg Kriegsmann16Peter Schirmacher17Katharina Kriegsmann18Institute of Pathology, University of Heidelberg, 69120 Heidelberg, GermanyInstitute of Pathology, University of Heidelberg, 69120 Heidelberg, GermanyProteopath Trier, 54296 Trier, GermanyInstitute of Pathology, TU Munich, 81675 Munich, GermanyTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, GermanyTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, GermanyTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, GermanyTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, GermanyInstitute of Pathology, Cytopathology, and Molecular Pathology, UEGP Gießen/Wetzlar/Limburg, 35578 Wetzlar, GermanyBruker Daltonik, 28359 Bremen, GermanyTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, GermanyTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, GermanyInstitute of Pathology, University of Heidelberg, 69120 Heidelberg, GermanyInstitute of Pathology, University of Heidelberg, 69120 Heidelberg, GermanyInstitute of Pathology, TU Munich, 81675 Munich, GermanyDepartment of Hematology, Oncology and Rheumatology, University of Heidelberg, 69120 Heidelberg, GermanyProteopath Trier, 54296 Trier, GermanyInstitute of Pathology, University of Heidelberg, 69120 Heidelberg, GermanyDepartment of Hematology, Oncology and Rheumatology, University of Heidelberg, 69120 Heidelberg, GermanySubtyping of non-small cell lung cancer (NSCLC) is paramount for therapy stratification. In this study, we analyzed the largest NSCLC cohort by mass spectrometry imaging (MSI) to date. We sought to test different classification algorithms and to validate results obtained in smaller patient cohorts. Tissue microarrays (TMAs) from including adenocarcinoma (ADC, <i>n</i> = 499) and squamous cell carcinoma (SqCC, <i>n</i> = 440), were analyzed. Linear discriminant analysis, support vector machine, and random forest (RF) were applied using samples randomly assigned for training (66%) and validation (33%). The <i>m/z</i> species most relevant for the classification were identified by on-tissue tandem mass spectrometry and validated by immunohistochemistry (IHC). Measurements from multiple TMAs were comparable using standardized protocols. RF yielded the best classification results. The classification accuracy decreased after including less than six of the most relevant <i>m/z</i> species. The sensitivity and specificity of MSI in the validation cohort were 92.9% and 89.3%, comparable to IHC. The most important protein for the discrimination of both tumors was cytokeratin 5. We investigated the largest NSCLC cohort by MSI to date and found that the classification of NSCLC into ADC and SqCC is possible with high accuracy using a limited set of <i>m/z</i> species.https://www.mdpi.com/2072-6694/12/9/2704mass spectrometry imagingmass spectrometryNSCLClung cancer
collection DOAJ
language English
format Article
sources DOAJ
author Mark Kriegsmann
Christiane Zgorzelski
Rita Casadonte
Kristina Schwamborn
Thomas Muley
Hauke Winter
Martin Eichhorn
Florian Eichhorn
Arne Warth
Soeren-Oliver Deininger
Petros Christopoulos
Michael Thomas
Thomas Longerich
Albrecht Stenzinger
Wilko Weichert
Carsten Müller-Tidow
Jörg Kriegsmann
Peter Schirmacher
Katharina Kriegsmann
spellingShingle Mark Kriegsmann
Christiane Zgorzelski
Rita Casadonte
Kristina Schwamborn
Thomas Muley
Hauke Winter
Martin Eichhorn
Florian Eichhorn
Arne Warth
Soeren-Oliver Deininger
Petros Christopoulos
Michael Thomas
Thomas Longerich
Albrecht Stenzinger
Wilko Weichert
Carsten Müller-Tidow
Jörg Kriegsmann
Peter Schirmacher
Katharina Kriegsmann
Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes
Cancers
mass spectrometry imaging
mass spectrometry
NSCLC
lung cancer
author_facet Mark Kriegsmann
Christiane Zgorzelski
Rita Casadonte
Kristina Schwamborn
Thomas Muley
Hauke Winter
Martin Eichhorn
Florian Eichhorn
Arne Warth
Soeren-Oliver Deininger
Petros Christopoulos
Michael Thomas
Thomas Longerich
Albrecht Stenzinger
Wilko Weichert
Carsten Müller-Tidow
Jörg Kriegsmann
Peter Schirmacher
Katharina Kriegsmann
author_sort Mark Kriegsmann
title Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes
title_short Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes
title_full Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes
title_fullStr Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes
title_full_unstemmed Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes
title_sort mass spectrometry imaging for reliable and fast classification of non-small cell lung cancer subtypes
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2020-09-01
description Subtyping of non-small cell lung cancer (NSCLC) is paramount for therapy stratification. In this study, we analyzed the largest NSCLC cohort by mass spectrometry imaging (MSI) to date. We sought to test different classification algorithms and to validate results obtained in smaller patient cohorts. Tissue microarrays (TMAs) from including adenocarcinoma (ADC, <i>n</i> = 499) and squamous cell carcinoma (SqCC, <i>n</i> = 440), were analyzed. Linear discriminant analysis, support vector machine, and random forest (RF) were applied using samples randomly assigned for training (66%) and validation (33%). The <i>m/z</i> species most relevant for the classification were identified by on-tissue tandem mass spectrometry and validated by immunohistochemistry (IHC). Measurements from multiple TMAs were comparable using standardized protocols. RF yielded the best classification results. The classification accuracy decreased after including less than six of the most relevant <i>m/z</i> species. The sensitivity and specificity of MSI in the validation cohort were 92.9% and 89.3%, comparable to IHC. The most important protein for the discrimination of both tumors was cytokeratin 5. We investigated the largest NSCLC cohort by MSI to date and found that the classification of NSCLC into ADC and SqCC is possible with high accuracy using a limited set of <i>m/z</i> species.
topic mass spectrometry imaging
mass spectrometry
NSCLC
lung cancer
url https://www.mdpi.com/2072-6694/12/9/2704
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