Abstract IA002: Histopathological classification of endometrial cancers and surrogate markers of genomic subtypes
Notice bibliographique
Résumé
Abstract Endometrial carcinoma has been subclassified based on tumor cell-type morphology i.e. the resemblance of the tumor cells to their normal counterparts based on microscopic examination. The main histotypes of endometrial carcinoma, endometrioid and serous carcinoma, correspond roughly to Type I and Type II endometrial carcinoma, as described by Bokhman in 1983. Although these histotypes are associated with different patient outcomes and are associated with different mutations, with endometrioid carcinomas having a more favorable prognosis than serous carcinomas, there are a significant number of endometrial carcinomas that are difficult to classify based on histopathological examination. This results in there being only moderate inter-observer reproducibility in the histopathological classification of endometrial carcinoma and this, in turn, compromises the ability to use histotype as a basis for treatment decisions. The Cancer Genome Atlas identified 4 molecular subtypes of endometrial carcinoma based on genomic architecture: ultramutated, hypermutated, low numbers of somatic copy number abnormalities, and high numbers of somatic copy number abnormalities. These correlate with patient outcome and, increasingly, have been show to be correlated with response to treatment. In this presentation the current subclassification of endometrial carcinoma, the development of surrogate markers of genomic molecular subtype and the correlation between molecular subtype and histotype will be discussed,Endometrial carcinoma has been subclassified based on tumor cell-type morphology i.e. the resemblance of the tumor cells to their normal counterparts based on microscopic examination. The main histotypes of endometrial carcinoma, endometrioid and serous carcinoma, correspond roughly to Type I and Type II endometrial carcinoma, as described by Bokhman in 1983. Although these histotypes are associated with different patient outcomes and are associated with different mutations, with endometrioid carcinomas having a more favorable prognosis than serous carcinomas, there are a significant number of endometrial carcinomas that are difficult to classify based on histopathological examination. This results in there being only moderate inter-observer reproducibility in the histopathological classification of endometrial carcinoma and this, in turn, compromises the ability to use histotype as a basis for treatment decisions. The Cancer Genome Atlas identified 4 molecular subtypes of endometrial carcinoma based on genomic architecture: ultramutated, hypermutated, low numbers of somatic copy number abnormalities, and high numbers of somatic copy number abnormalities. These correlate with patient outcome and, increasingly, have been show to be correlated with response to treatment. In this presentation the current subclassification of endometrial carcinoma, the development of surrogate markers of genomic molecular subtype and the correlation between molecular subtype and histotype will be discussed. Citation Format: C. Blake Gilks. Histopathological classification of endometrial cancers and surrogate markers of genomic subtypes [abstract]. In: Proceedings of the AACR Virtual Special Conference: Endometrial Cancer: New Biology Driving Research and Treatment; 2020 Nov 9-10. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(3_Suppl):Abstract nr IA002.
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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| 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 ».