Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes.
Simple Summary: Diagnostic subtyping of non-small cell lung cancer is paramount for therapy stratification. Our study shows that the subtyping into pulmonary adenocarcinoma and pulmonary squamous cell carcinoma by mass spectrometry imaging is rapid and accurate using limited tissue material. Subtypi...
| Publicado en: | Cancers Vol. 12; no. 9; pp. 2704 - 2705 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
MDPI
Sep2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=146538804&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146538804 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20726694 B74B jtl: Cancers issn: 20726694 maglogo: N pubinfo: dt: Sep2020 vid: 12 iid: 9 pid: 97109 pub: MDPI artinfo: ui: 146538804 146538804 146538804 10.3390/cancers12092704 146538804 ppf: 2704 ppct: 1 formats: tig: atl: Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes. aug: au: Kriegsmann, Mark Zgorzelski, Christiane Casadonte, Rita Schwamborn, Kristina Muley, Thomas Winter, Hauke Eichhorn, Martin Eichhorn, Florian Warth, Arne Deininger, Soeren-Oliver Christopoulos, Petros Thomas, Michael Longerich, Thomas Stenzinger, Albrecht Weichert, Wilko Müller-Tidow, Carsten Kriegsmann, Jörg Schirmacher, Peter Kriegsmann, Katharina affil: Institute of Pathology, University of Heidelberg, 69120 Heidelberg, Germany sug: subj: Carcinoma, Non-Small-Cell Lung Classification Carcinoma, Non-Small-Cell Lung Diagnosis Mass Spectrometry Utilization Diagnostic Imaging Algorithms Immunohistochemistry ab: Simple Summary: Diagnostic subtyping of non-small cell lung cancer is paramount for therapy stratification. Our study shows that the subtyping into pulmonary adenocarcinoma and pulmonary squamous cell carcinoma by mass spectrometry imaging is rapid and accurate using limited tissue material. 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, n = 499) and squamous cell carcinoma (SqCC, n = 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 m/z 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 m/z 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 m/z species. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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