Abstract 3901: Identification of novel tumor suppressor candidates and characterizing their potential driver role in familial cholangiocarcinoma
Notice bibliographique
Résumé
Abstract Cholangiocarcinoma (bile duct cancer) is an epithelial malignancy originating from the bile duct that connects the liver to the small intestine. This carcinoma, while rare, has an extremely poor prognosis with a 5-year survival of less than 10%. Initial clinical presentation and diagnosis is frequently at an advanced stage and while amenable to specific combination chemotherapy regimens, inevitably progresses towards distal metastasis. Only recently has the molecular genetic underpinnings of this cancer been explored with a number of genome sequencing studies of a limited number of primary tumors. For this study, we used a multi-faceted approach that integrates the genetic analysis of an extended familial cholangiocarcinoma pedigree with identification of somatic genetic aberrations discovered via primary tumor sequencing of affected family members. Our goal was to identify potential novel tumor suppressor(s) that have not yet been described and are associated with an increased familial risk of cholangiocarcinoma. The extended pedigree was characterized by multiple members with relatively young onset of cholangiocarcinoma and displayed a segregation pattern consistent with an autosomal dominant inheritance pattern. Several members of the family had undergone biopsy or resection and as a result, had primary tumor tissue available for analysis. Relying on a combination of whole genome sequencing, experimentally-derived haplotype phasing, exome sequencing and tumor subclonal identification, we performed a combined germline and somatic analysis on this pedigree. Our analysis included family members both affected and unaffected by biliary cancers. Somatic variant analysis of the tumor samples was used to identify driver mutations that may work in concert with candidate germline mutation to initiate and maintain tumorigenesis. Remarkably, the cancer genome sequencing analysis identified a number of common somatic features among primary tumors found in different family members. Analysis of tumor clonality was derived from copy number and mutation data and further informed our analysis of possible contributing drivers. To further inform the analysis of suspected candidate germline loci, we conducted experimentally-based haplotype phasing covering Megabase segments to better delineate blocks that segregated with affected members. We identified several novel candidate genes with germline mutations with a predicted deleterious effect that segregated to affected individuals and had not been previously noted as polymorphisms or rare variants. Thus, we identified several candidate genes that may be novel tumor suppressor candidates for cholangiocarcinoma and increase the susceptibility to this lethal tumor. Overall, our study has significant implications by shedding light on the genetic basis of cholangiocarcinoma. Citation Format: Stephanie Greer, Lincoln D. Nadauld, Billy Lau, Laura Miotke, Erik Hopmans, Christina M. Wood, John M. Bell, Hanlee P. Ji. Identification of novel tumor suppressor candidates and characterizing their potential driver role in familial cholangiocarcinoma. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3901. doi:10.1158/1538-7445.AM2015-3901
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 | 0,000 |
| 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 ».