Abstract 4899: Investigating mutation co-operativity in early tumorigenesis of low-grade serous ovarian carcinoma with organoid model system and single-cell RNA sequencing
Notice bibliographique
Résumé
Abstract Background: Ovarian cancers are the most common gynecologic malignancies. Low grade serous ovarian carcinoma (LGSOC) is a rare tumor, accounting for ~2000 cases diagnosed every year in North America. Most of LGSOCs are characterized by high fatality rates over the long term, with only 20% of women surviving 10 years after diagnosis, due suboptimal response to current chemotherapies. Understanding the molecular events is crucial for developing better early detection strategies and more informed therapeutic options. LGSOC harbors a relatively stable genome, with common activating mutations in BRAF, KRAS and NRAS. Recently, NRAS mutations (Q61R) were found to co-exist with EIF1AX mutations (G8E) in LGOSC, and the two mutated proteins functionally cooperate. Increasing histological and gene expression evidence suggest that the cell of origin of LGSOC is in the Fallopian tube. Low incidence of this disease means it is poorly understood, and the resulting lack of available models further limits the study of underlying mechanisms. We therefore propose to use organoid cultures. These consist of 3D multicellular units that resemble in vitro a tissue or organ of body, both structurally and functionally. Objective: to elucidate molecular events underpinning LGSOC, specifically how NRAS(Q61R) and EIF1AX (G8E) mutations co-operate to drive early stages of tumorigenesis, with organoid system and single-cell RNA sequencing (scRNA-seq) technologies. Method: To reflect genetic background and cell of origin of LGSOC, NRAS Q61R and EIF1AX G8E mutant proteins were overexpressed via lentiviral transduction in organoid cultures of normal human Fallopian tubes. After allowing organoids to establish, 2 weeks after transduction gene expression alterations were resolved with scRNA-seq. Histology of organoids were assessed for histomorphological signs of transformation. Patient-derived tumor organoids (PDTOs) were also cultured to assess how well our LGSOC-modelling organoids (LMOs) recapitulate the histological features of patient tumours. Result: LMOs showed cytologic signs of transformation such as increased nuclear/cytoplasmic ratio, prominent nucleoli, and cellular pleomorphism. Papillary structures, a major histologic characteristic of LGSOC tumor were also observed in LMOs. PDTOs showed similar cytological features and organization as LMOs. From scRNA-seq, we identified genes up-regulated in double-mutant compared to single-mutant organoids such as CA125 and TACSTD2. CA125 is one of the earliest identified biomarkers for ovarian cancer and has remained to be the most useful serum marker despite limited sensitivity and specificity; whereas TACSTD2 overexpression has been found to correlate with a chemo-resistant, aggressive malignant phenotype. Conclusion and future directions: Organoid culture and scRNA-seq is a powerful duo in studying early tumorigenesis events. We established a novel model system of LGSOC by introducing common co-occurring mutations into normal Fallopian tube tissues. Our model recapitulates to a large extent of LGSOC histology. Genes upregulated in double mutants included well-characterized biomarker (CA125) and a potential biomarker or therapeutic target (TACSTD2). Our work will be crucial for developing early detection strategies and targeted treatment options. Citation Format: Joyce Yu Han Zhang, Dawn Cochrane, Kieran Campbell, Minh Bui, Germain Ho, Cindy Shen, Winnie Yang, Clara Salamanca, Genny Trigo, David G. Huntsman. Investigating mutation co-operativity in early tumorigenesis of low-grade serous ovarian carcinoma with organoid model system and single-cell RNA sequencing [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 4899.
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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 | 0,000 | 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) | 0,001 | 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 ».