Abstract 2226: Validation of a liquid biopsy tool to identify point mutations in pediatric brain tumor patients
Notice bibliographique
Résumé
Abstract The use of liquid biopsies to diagnose and monitor tumors has been widely explored especially in adult cancers. In pediatric cancers, the feasibility of this method as a clinical tool is still to be established. Pediatric low grade gliomas (PLGG) are characterized by mutations in the MAPK pathway, and 20% harbour BRAFV600E mutation, which can also be found in paediatric patients with Langerhans cell histiocytoma (LCH), thyroid carcinoma and melanomas. Specific histone mutations have been described in pediatric high grade gliomas(HGG) and diffuse midline pontine gliomas(DIPG). Midline gliomas are not amenable to a gross total resection; however, a biopsy is needed for pathological and molecular diagnosis. In this scenario, liquid biopsy is of utmost importance and has the potential to spare the risk of morbidity with surgical procedures, determine diagnosis and prognosis, as well as serve as a tool to guide and monitor response to therapy with targeted agents. The objective of this study is to evaluate the use of droplet digital PCR (ddPCR) for identification of point mutations in cerebro-spinal fluid (CSF) or plasma of BRAF V600E or H3K27M positive pediatric patients. CSF was collected from a total of 51 patients, and plasma from 55 patients. ctDNA was extracted from 3 ml of plasma or 2 ml of CSF, and pre-amplified prior to ddPCR, which was conducted on the RainDance system. For BRAFV600E: Forty-five patients had CSF samples available for analysis, 8 had known positive brain tumors, 32 negative brain tumors, 5 normal controls; 5/8 positive cases had BRAFV600E mutation in ctDNA from CSF, one of the patients with negative CSF and positive tumor was on treatment with BRAF inhibitors. Plasma was analysed in 17 patients with known positive brain tumors and additionally 10 patients negative for BRAFV600E, all of the plasma samples were negative for the mutation. For H3K27M: Thirty patients had CSF samples for analysis 1 was a known positive tumor, 27 negative and 2 unknown status (radiological diagnosis of DIPG). Of the 3 DIPG samples 2 were positive, one with unknown status of the primary tumor. Plasma was also analysed for H3K27M mutation in 7 patients with known positive brain tumors, one DIPG with unknown status and 7 negative samples. All plasma samples tested negative for the mutation. Sensitivity and Specificity for this assay was respectively 62% and 97% for BRAF and 66% and 98 % for H3K27M in CSF. The sensitivity in plasma for brain tumors is poor, however seems better for non-CNS lesions. In summary, we show that liquid biopsy with analysis of CSF ctDNA is feasible with high specificity, important in the context of a diagnoses tool. Moving forward larger cohorts need to be validated towards the goal of implementing ddPCR as a clinical tool for diagnosis of specific point mutations in pediatric patients with CNS tumors. Citation Format: Liana Nobre, Michal Zapotocky, Monique Johnson, Jonathan Wasserman, Oussama Abla, Jim Whitlock, Uri Tabori, Cynthia Hawkins. Validation of a liquid biopsy tool to identify point mutations in pediatric brain tumor patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2226.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».