Abstract 661: Identification of epigenomic markers on chromosome 11 that distinguish between choroid plexus carcinoma (CPC) and papilloma (CPP).
Notice bibliographique
Résumé
Abstract Choroid plexus tumors are rare epithelial brain tumors occurring predominantly in early childhood. Understanding molecular events leading to development and progression of these tumors is critical in determining patient treatment and increased survival. Loss of heterozygosity (LOH) is a common alteration observed during carcinogenesis. To investigate somatic genetic abnormalities in different subtypes of choroid plexus cancers and identify LOH hotspots, we utilized SNP 6.0 arrays (Affymetrix). Allele specific copy number analysis of 25 CPCs and 31 CPPs using Chromosome Analysis Suite (Affymetrix) revealed much higher frequency of LOH events throughout the genome in CPCs (8.4/case) compared with CPPs (1.2/case). One LOH hotspot, neutral copy loss of heterozygosity on chromosome 11, was identified in most CPCs but in no CPPs. Chromosome 11 is known to harbor an imprinted cluster that has been associated with growth dysregulation and pediatric cancer. Both maternal (KvDMR1) and paternal (H19DMR) differentially methylated regions overlap this imprinting cluster. Therefore, we investigated whether the observed LOH is related to uniparental disomy (UPD). Bisulfite pyrosequencing on a subset of CPP and CPC were studied for DNA methylation at both H19DMR and KvDMR1. Our data showed a reverse correlation in the degree of DNA methylation between the 2 DMRs in CPCs and CPPs. These data correlate well with the concept of UPD identified through our SNP arrays. Next, we investigated whether the observed higher expression of insulin like growth factor (IGF2) in CPP compared to CPC is associated with DNA methylation aberrations at the imprinted control region (H19 DMR) on 11p15.5. We identified higher DNA methylation at the H19DMR in CPC compared to CPP. Increased activity of the IGF2 gene has been associated with many types of cancer. To investigate the mechanism of CPC distinct IGF2 expression we examined the expression levels of microRNAs (miRNAs). MicroRNAs are often found to be misregulated in human cancer, and they can act posttranscriptionally as either potent oncogenes or tumor suppressor genes. We studied expression of miR-675-3p, miR-483-3p as well as miR-125-a-3p associated with IGF2/H19 imprinted locus. By quantitative RT-PCR, both miR-675 and miR-125 were found to be more significantly upregulated in CPCs than in CPPs whereas miR-483 was expressed at very low levels in CPCs and in higher levels in CPPs compared with normal control tissues . Misregulation of miR-483 was positively correlated with IGF2 levels in both groups. Our data suggest that dysregulation of epigenetic mechanisms contribute to the molecular events leading to tumor development and progression in CPC and may eventually facilitate identification of new diagnostic markers for CPC, as well as new therapeutic targets for this aggressive, lethal tumor. Citation Format: Malgorzata Pienkowska, Sanaa Choufani, Boleslaw Lach, Diana M. Merino, Ana Novokmet, Uri Tabori, Richard Gilbertson, David Malkin. Identification of epigenomic markers on chromosome 11 that distinguish between choroid plexus carcinoma (CPC) and papilloma (CPP). [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 661. doi:10.1158/1538-7445.AM2013-661
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 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 | 0,000 | 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) | 0,002 | 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 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 ».