Abstract PR02: Integrated genomic analysis of a recurrent ghost cell odontogenic carcinoma
Notice bibliographique
Résumé
Abstract Introduction: The Personalized OncoGenomics (POG) project launched at the British Columbia Cancer Agency uses genome analyses to support cancer treatment decision making. The POG project enrolls patients with incurable cancers for which standard chemotherapy regimens fail or do not exist. Here we report the first genomic sequence of a ghost cell odontogenic carcinoma (GCOC) patient enrolled in the POG program. GCOC is a very rare cancer of the maxillofacial apparatus and only 35 GCOC cases have been reported in the literature. The etiology of GCOC is largely unknown and genomic profiling of this rare cancer-type has not been previously reported. Methods: We performed whole genome sequencing (WGS; ~100X coverage) and transcriptome sequencing (RNA-seq) of a fresh tumor biopsy sample and WGS (~50X coverage) of DNA purified from peripheral blood. Bioinformatics approaches were used to identify genes with somatic single nucleotide variants (SNVs), copy number variants (CNVs), structural variants (SVs), and expression changes. All variants were integrated to build an individual somatic molecular profile, followed by intensive pathway analysis and literature searches to identify the candidate biological processes that are deregulated. Based on the integration of these results, therapeutic options were explored. Results: The tumor genome was highly aneuploid with extensive regions of loss of heterozygosity. Homozygous deletion of RB1 and heterozygous loss of PTEN, RASSF4 and FHIT tumor suppressors was observed. Oncogenes belonging to the sonic hedgehog pathway (GLI1 and SHH) as well as a variety of other oncogenes including AURKA, AKT1, GSK3B, MYCN also showed gains in copy number. Among the genes with predicted protein altering SNVs were APC, HLF, TWIST1 and UBR5. The only translocation resulting in an expressed RNA product, a reciprocal t(3;18), resulted in a novel fusion involving the TCF4 and PTPRG genes. The predicted fusion product lacks all the functional domains of the PTPRG gene including the phosphatase domain, possibly leading to the loss of tumor suppressor activity. Oncogenes involved in tyrosine kinase signaling (EGFR, KIT, FGFR1), various members of the PI3-kinase-mTOR pathway including PIK3R2, PIK3CA and MYCN, members of the NOTCH signaling pathway (NOTCH1, NOTCH3, JAG1, DTX4, HES2 and HEY1), the hedgehog pathway (PTCH1, GLI1, TWIST1 and TWIST2), and the WNT pathway (WNT4, WNT5A, FZD2, FZD10, DVL3 and GSK3B) were highly expressed in the GCOC sample. Conclusions: This study represents the first integrated genomic and transcriptomic analysis of a GCOC genome. Based on alterations in tyrosine kinase, PI3-kinase-mTOR, hedgehog and NOTCH pathways, inhibitors to these pathways were identified as therapeutic options. This abstract is also presented as Poster 06. Citation Format: Pinaki Bose, Erin Pleasance, Martin Jones, Yaoqing Shen, Carolyn Ch'ng, Caralyn Reisle, Jacqueline E. Schein, Andrew Mungall, Richard Moore, Yussanne Ma, Brandon S. Sheffield, Thomas Thomson, Steven Rasmussen, Christopher Lee, Stephen Yip, Marco A. Marra, Janessa Laskin, Cheryl Ho, Steven J. M. Jones. Integrated genomic analysis of a recurrent ghost cell odontogenic carcinoma. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Integrating Clinical Genomics and Cancer Therapy; Jun 13-16, 2015; Salt Lake City, UT. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(1_Suppl):Abstract nr PR02.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».