OLAPARIB

Informations Générales

Élément Valeur
DrugBank ID DB09074
Niveau de Preuve L5 (Prédiction Computationnelle)
Nombre d'Indications Prédites 27

Indications Prédites (TxGNN)

Les suivantes sont des indications potentielles nouvelles prédites par le modèle TxGNN. Des scores plus élevés indiquent une pertinence prédite plus élevée.

# Indication Source
1 malignant dysgerminomatous germ cell tumor of ovary TxGNN Knowledge Graph
2 ovarian endometrioid adenocarcinoma TxGNN Knowledge Graph
3 immature ovarian teratoma TxGNN Knowledge Graph
4 hereditary breast ovarian cancer syndrome TxGNN Knowledge Graph
5 malignant sex cord stromal tumor of ovary TxGNN Knowledge Graph
6 hereditary site-specific ovarian cancer syndrome TxGNN Knowledge Graph
7 theca steroid-producing cell malignant tumor of ovary, not further specified TxGNN Knowledge Graph
8 maligant granulosa cell tumor of ovary TxGNN Knowledge Graph
9 primary peritoneal carcinoma (disease) TxGNN Knowledge Graph
10 malignant Sertoli-Leydig cell tumor of ovary TxGNN Knowledge Graph
11 borderline epithelial tumor of ovary TxGNN Knowledge Graph
12 primary non-gestational choriocarcinoma of ovary TxGNN Knowledge Graph
13 ovarian mucinous adenocarcinoma TxGNN Knowledge Graph
14 yolk sac tumor TxGNN Knowledge Graph
15 ovarian clear cell adenocarcinoma TxGNN Knowledge Graph
16 ovarian cancer TxGNN Knowledge Graph
17 ovarian small cell carcinoma TxGNN Knowledge Graph
18 desmoplastic small round cell tumor TxGNN Knowledge Graph
19 malignant non-dysgerminomatous germ cell tumor of ovary TxGNN Knowledge Graph
20 familial ovarian cancer TxGNN Knowledge Graph
21 primary peritoneal serous/papillary carcinoma TxGNN Knowledge Graph
22 malignant germ cell tumor of ovary TxGNN Knowledge Graph
23 primary malignant peritoneal tumor TxGNN Knowledge Graph
24 ovarian epithelial tumor TxGNN Knowledge Graph
25 ovarian carcinosarcoma TxGNN Knowledge Graph
26 peritoneum cancer TxGNN Knowledge Graph
27 ovarian adenocarcinoma TxGNN Knowledge Graph

Avertissement

Ces prédictions sont uniquement à des fins de recherche et ne constituent pas un avis médical. Une validation clinique est requise avant toute application clinique.


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