Direct Water-Assisted Laser Desorption/Ionization Mass Spectrometry Lipidomic Analysis and Classification of Formalin-Fixed Paraffin-Embedded Sarcoma Tissues without Dewaxing
| Autor: | Michael Ziskind, Benoit Fatou, Emmanuel Bouchaert, Delphine Bertin, Nina Ogrinc, Yves-Marie Robin, Dominique Tierny, Cristian Focsa, Isabelle Fournier, Pierre-Damien Caux, Michel Salzet, Zoltan Takats |
|---|---|
| Přispěvatelé: | Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U 1192 [PRISM], Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 [PhLAM], CIC CHU ( Lille)/inserm, Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U 1192 (PRISM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 (PhLAM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, CNRS, INSERM, Université de Lille, Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192, Laboratoire de Physique des Lasers, Atomes et Molécules (PhLAM) - UMR 8523 |
| Rok vydání: | 2021 |
| Předmět: |
Pathology
medicine.medical_specialty Tissue Fixation [SDV]Life Sciences [q-bio] Clinical Biochemistry Dogs Formaldehyde medicine Animals Humans Sample preparation Paraffin Embedding Canine Sarcoma Molecular pathology business.industry Lasers Biochemistry (medical) Water Cancer Sarcoma Gold standard (test) medicine.disease Subtyping Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Lipidomics Immunohistochemistry business |
| Zdroj: | Clinical chemistry Clinical chemistry, 2021, 67 (11), pp.1513-1523. ⟨10.1093/clinchem/hvab160⟩ |
| ISSN: | 1530-8561 0009-9147 |
| DOI: | 10.1093/clinchem/hvab160 |
| Popis: | 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 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|