Contribution of known and novel DNA repair genes to pancreatic cancer susceptibility
Notice bibliographique
Résumé
Pancreatic adenocarcinoma (PAC) is a deadly malignancy that most commonly presents at a late stage and is ultimately refractory to systemic therapies. Even more devastating is the familial clustering of PAC (and other cancers) that is observed in 10-15% of cases. These kindreds, however, represent an opportune subset of patients for studies aimed at early detection and precision oncology strategies. While a fraction of the observed familial clustering of PAC is attributable to inherited (i.e., germline) genetic mutations in known PAC susceptibility genes (e.g., BRCA1 and BRCA2), the genetic causes for the overwhelming majority of familial PAC (~85%) remain undefined. The rapid lethality of PAC has hindered the collection of DNA, tumour specimens, and high-quality clinical and epidemiologic data that are critical for genetic studies of PAC. Herein, we demonstrate that a rapid ascertainment methodology, as used by the Quebec Pancreas Cancer Study (QPCS), a prospective clinic-based PAC research registry that was established in our lab in 2012, leads to high participation rates and allows for the collection of rare "high-risk" kindreds for studies of PAC heredity. Motivated by recent studies by our group and others suggesting that PAC associated with germline mutations in homology-directed DNA repair (HDR) genes have increased sensitivities to DNA damaging agents (e.g., platinums) and poly(ADP-ribose) polymerase inhibitors, we combined the resources of the QPCS and the Ontario Pancreas Cancer Study to define the prevalence of germline mutations in 4 known HDR-implicated PAC susceptibility genes (BRCA1, BRCA2, PALB2 and ATM) among 150 consecutive PAC cases with French-Canadian ancestry – a population known to harbour founder (i.e., recurrent) mutations in these genes – and 236 cases unselected for ancestry. Using clinical data collected by these registries, we provide supporting evidence for the role of precision therapy in this PAC subtype, and make recommendations for reflex genetic testing that can be easily applied in the routine management of PAC. To elucidate the unexplained majority of familial PAC, we used next-generation sequencing to interrogate the germline exomes of 109 PAC cases from 93 "high-risk" kindreds and used a filter-based approach to identify several candidate PAC susceptibility genes involved in DNA repair. Most notable are FAN1, NEK1 and RHNO1, which each harboured pathogenic mutations in 3 kindreds (3.2%) and demonstrated segregation with PAC in 2 kindreds. The identification of several low prevalence candidate genes, rather than a single major gene in our large case series highlights the likely heterogeneity of PAC heredity. Adverse survival was observed in early stage PAC cases with germline mutations in DNA repair genes, pointing to a hypothesis that these cases may represent a distinct clinical subtype with selective drug sensitivities. Overall, this thesis aims to characterize the contribution of both known and novel germline genetic causes of PAC and supports the notion that distinct genetic subtypes of PAC may benefit from targeted therapies, highlighting the limitations of the current "one-size-fits-all" approach to PAC treatment.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».