MP13-07 NEXT-GENERATION LIQUID BIOPSIES USING EXTRACELLULAR VESICLE DETECTION BY NANOSCALE FLOW CYTOMETRY
Notice bibliographique
Résumé
You have accessJournal of UrologyProstate Cancer: Detection & Screening I (MP13)1 Apr 2019MP13-07 NEXT-GENERATION LIQUID BIOPSIES USING EXTRACELLULAR VESICLE DETECTION BY NANOSCALE FLOW CYTOMETRY Fabrice Lucien-Matteoni*, Janice Gomes, Harmenjit Brar, Matthew Lowerison, Mario Cepeda, Vidhu Joshi, Yohan Kim, Paras Shah, Stephen Pautler, Nicholas Power, Haidong Dong, Stephen Boorjian, and Bradley Leibovich Fabrice Lucien-Matteoni*Fabrice Lucien-Matteoni* More articles by this author , Janice GomesJanice Gomes More articles by this author , Harmenjit BrarHarmenjit Brar More articles by this author , Matthew LowerisonMatthew Lowerison More articles by this author , Mario CepedaMario Cepeda More articles by this author , Vidhu JoshiVidhu Joshi More articles by this author , Yohan KimYohan Kim More articles by this author , Paras ShahParas Shah More articles by this author , Stephen PautlerStephen Pautler More articles by this author , Nicholas PowerNicholas Power More articles by this author , Haidong DongHaidong Dong More articles by this author , Stephen BoorjianStephen Boorjian More articles by this author , and Bradley LeibovichBradley Leibovich More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000555220.43463.25AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Next-generation biomarkers are emerging as valuable tools to improve cancer diagnostics, disease stratification and treatment monitoring. Our group has developed an innovative “liquid biopsy” based on enumeration of submicron cell fragments called extracellular vesicles (EVs) that bear tissue and cancer-specific biomarkers. This approach relies on the use of nanoscale flow cytometry (nFC) allowing high-throughput multi-parametric detection and enumeration of particles of events between 100-1000 nm in diameter. Despite the growing interest for developing EV-based blood tests, there is still an unmet need to optimize pre-analytical procedures and analytical parameters. Our team has established the standard operating procedures required for accurate detection of EVs from patient plasmas. METHODS: We utilized the A50-Micro Plus nanoscale flow cytometer (Apogee FlowSystems Inc.) to identify and measure 100-1000nm sized EVs. Silica and polystyrene beads were used to determine resolution limits of the nFC and established optimal acquisition parameters for EV enumeration. Plasmas from healthy volunteers and cancer patients were used to standardize pre-analytical conditions (plasma isolation, storage, handling) and to assess the performance of the nFC. RESULTS: A50-Micro Plus was capable of detecting EVs from 110 to 1000 nm in a linear manner by using light-scatter and fluorescence detection. Platelet-free plasma, storage temperature (-80C), dilution range (1/15-1/60) are critical considerations to ensure integrity and accurate enumeration of EVs. We used the standard operating procedure to enumerate prostate cancer-derived EVs in prostate cancer patients and unveiled a blood signature which identifies patients with clinically significant prostate cancers. CONCLUSIONS: We have established a workflow to develop EV-based liquid biopsies using nanoscale flow cytometry. In prostate cancer, we have identified an EV signature that may enhance selective identification of patients with clinically significant prostate cancer and decrease unnecessary tissue biopsies in individuals with absent or low-risk disease. This technique has the potential to facilitate the development of next-generation peripheral blood tests to allow personalized treatment protocols for patients with urogenital cancers. Source of Funding: Movember Foundation, Mayo Clinic Rochester, MN; London, Canada; Rochester, MN; London, Canada; Rochester, MN© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e179-e179 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Fabrice Lucien-Matteoni* More articles by this author Janice Gomes More articles by this author Harmenjit Brar More articles by this author Matthew Lowerison More articles by this author Mario Cepeda More articles by this author Vidhu Joshi More articles by this author Yohan Kim More articles by this author Paras Shah More articles by this author Stephen Pautler More articles by this author Nicholas Power More articles by this author Haidong Dong More articles by this author Stephen Boorjian More articles by this author Bradley Leibovich More articles by this author Expand All Advertisement PDF downloadLoading ...
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».