Abstract 3537: Evaluation of genomic instability using microsatellite instability, ploidy status, and p53 expression in archival paraffin embedded tissue from primary ovarian cancer specimens
Notice bibliographique
Résumé
Abstract A retrospective study of a subset of ovarian cancer cases was evaluated to assess the role of microsatellite instability (MSI) and ploidy status. P53 function is important in the regulation of genomic stability and its expression was examined by immuno-histochemical staining. Genomic instability is also considered a possible indicator of immuno-therapy responsive tumors. Ovarian cancer patients diagnosed between 1983 to 1987 at Saskatoon Cancer Center, Canada, were evaluated for genomic stability. Nearly 400 Epithelial Ovarian Cancer (EOC) cases were reviewed, and Paraffin Embedded Tissue (PET) blocks from 112 cases were retrieved from hospitals in the region. PET blocks containing over 70% neoplastic tissue were chosen for the study. P53 expression was determined in eighteen cases using the mouse monoclonal antibody D07. An assessment of MSI and LOH was performed using the PCR mixes from Perkin Elmer (PE) AB. The replication error repair (RER)/Loss of Heterozygosity (LOH) assays were performed at nine loci using the primers obtained from PE. Fourteen out of eighteen cases were evaluated for ploidy status using a method described in literature[1]. Statistical analyses were performed to determine the significance of MSI/LOH, ploidy status, and p53 expression. In this study, 34 (30%) of 112 EOC cases were found to be aneuploid. Fourteen EOC cases had ploidy status that could be evaluated. Of the eighteen patients analyzed for MSI, at least nine patients showed instability at one or more loci. Of these nine, there were two RER positive phenotypes with aneuploid DNA content which were also p53 immuno-negative. Of the seven (78%) RER negative tumors, 57% (4/7) p53 negative, and the remaining three cases overexpressed p53. In five EOC cases, with an RER negative phenotype, 60% (3/5) were aneuploid and 40% (2/5) were diploid. Furthermore, LOH was a common event at the nine loci. The three events: MSI, lack of p53 overexpression, and aneuploidy, may be characteristics of a subset of ovarian cancer cases. Secondly, the study suggests that RER positivity occurs in ovarian cancer pathogenesis. We conclude that the data indicates general genomic instability due to MSI and DNA ploidy status. [1] A. Geissel and J. L. Griffin, “Preparation of nuclei for flow cytometry,” in AFIP Advances in Laboratory Methods in histology and Pathology, ed. Mikel UV (Washington DC: American Registry of Pathology, 1994), 111-121. Citation Format: Kavitha Advikolanu Rao, Anthony M. Magliocco, Andrew W. Maksymiuk. Evaluation of genomic instability using microsatellite instability, ploidy status, and p53 expression in archival paraffin embedded tissue from primary ovarian cancer specimens [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3537.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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) | 0,001 | 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 ».