Direct water-assisted laser desorption/ionization ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
PMID :
URL permanente :
Titre :
Direct water-assisted laser desorption/ionization mass spectrometry lipidomic analysis and classification of formalin-fixed paraffin-embedded sarcoma tissues without dewaxing
Auteur(s) :
Ogrinc, Nina [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Caux, Pierre-Damien [Auteur]
Robin, Yves-Marie [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Bouchaert, Emmanuel [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Fatou, Benoit [Auteur]
Ziskind, Michael [Auteur]
Laboratoire de Physique des Lasers, Atomes et Molécules (PhLAM) - UMR 8523
Focsa, Cristian [Auteur]
Laboratoire de Physique des Lasers, Atomes et Molécules (PhLAM) - UMR 8523
Bertin, Delphine [Auteur]
Tierny, Dominique [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Takats, Zoltan [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Salzet, Michel [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
FOURNIER, Isabelle [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Caux, Pierre-Damien [Auteur]
Robin, Yves-Marie [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Bouchaert, Emmanuel [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Fatou, Benoit [Auteur]
Ziskind, Michael [Auteur]
Laboratoire de Physique des Lasers, Atomes et Molécules (PhLAM) - UMR 8523
Focsa, Cristian [Auteur]
Laboratoire de Physique des Lasers, Atomes et Molécules (PhLAM) - UMR 8523
Bertin, Delphine [Auteur]
Tierny, Dominique [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Takats, Zoltan [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Salzet, Michel [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
FOURNIER, Isabelle [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Titre de la revue :
Clinical chemistry
Nom court de la revue :
Clin Chem
Date de publication :
2021-09-29
ISSN :
1530-8561
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
BACKGROUND: Formalin-fixed paraffin-embedded (FFPE) tissue has been the gold standard for routine pathology for general and cancer postoperative diagnostics. Despite robust histopathology, immunohistochemistry, and molecular ...
Lire la suite >BACKGROUND: Formalin-fixed paraffin-embedded (FFPE) tissue has been the gold standard for routine pathology for general and cancer postoperative diagnostics. Despite robust histopathology, immunohistochemistry, and molecular methods, accurate diagnosis remains difficult for certain cases. Overall, the entire process can be time consuming, labor intensive, and does not reach over 90% diagnostic sensitivity and specificity. There is a growing need in onco-pathology for adjunct novel rapid, accurate, reliable, diagnostically sensitive, and specific methods for high-throughput biomolecular identification. Lipids have long been considered only as building blocks of cell membranes or signaling molecules, but have recently been introduced as central players in cancer. Due to sample processing, which limits their detection, lipid analysis directly from unprocessed FFPE tissues has never been reported. METHODS: We present a proof-of-concept with direct analysis of tissue-lipidomic signatures from FFPE tissues without dewaxing and minimal sample preparation using water-assisted laser desorption ionization mass spectrometry and deep-learning. RESULTS: On a cohort of difficult canine and human sarcoma cases, classification for canine sarcoma subtyping was possible with 99.1% accuracy using "5-fold" and 98.5% using "leave-one-patient out," and 91.2% accuracy for human sarcoma using 5-fold and 73.8% using leave-one-patient out. The developed classification model enabled stratification of blind samples in <5 min and showed >95% probability for discriminating 2 human sarcoma blind samples. CONCLUSION: It is possible to create a rapid diagnostic platform to screen clinical FFPE tissues with minimal sample preparation for molecular pathology.Lire moins >
Lire la suite >BACKGROUND: Formalin-fixed paraffin-embedded (FFPE) tissue has been the gold standard for routine pathology for general and cancer postoperative diagnostics. Despite robust histopathology, immunohistochemistry, and molecular methods, accurate diagnosis remains difficult for certain cases. Overall, the entire process can be time consuming, labor intensive, and does not reach over 90% diagnostic sensitivity and specificity. There is a growing need in onco-pathology for adjunct novel rapid, accurate, reliable, diagnostically sensitive, and specific methods for high-throughput biomolecular identification. Lipids have long been considered only as building blocks of cell membranes or signaling molecules, but have recently been introduced as central players in cancer. Due to sample processing, which limits their detection, lipid analysis directly from unprocessed FFPE tissues has never been reported. METHODS: We present a proof-of-concept with direct analysis of tissue-lipidomic signatures from FFPE tissues without dewaxing and minimal sample preparation using water-assisted laser desorption ionization mass spectrometry and deep-learning. RESULTS: On a cohort of difficult canine and human sarcoma cases, classification for canine sarcoma subtyping was possible with 99.1% accuracy using "5-fold" and 98.5% using "leave-one-patient out," and 91.2% accuracy for human sarcoma using 5-fold and 73.8% using leave-one-patient out. The developed classification model enabled stratification of blind samples in <5 min and showed >95% probability for discriminating 2 human sarcoma blind samples. CONCLUSION: It is possible to create a rapid diagnostic platform to screen clinical FFPE tissues with minimal sample preparation for molecular pathology.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CNRS
INSERM
Université de Lille
INSERM
Université de Lille
Collections :
Date de dépôt :
2022-06-15T13:57:25Z
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