Abstract 2835: BRCA1 signature in high-risk fallopian tube epithelium
Notice bibliographique
Résumé
Abstract Background: High-grade serous ovarian cancer is rarely diagnosed at an early and potentially curable stage, effective early detection and preventative strategies are few. Recently the discovery of occult invasive and intraepithelial tubal carcinomas in BRCA1 mutation carriers, who are at high risk of serous cancer, undergoing prophylactic surgery has focused attention on the fallopian tube epithelium as the cell of origin and has led to the reporting of putative serous cancer precursor lesions. However, little is known of the early molecular events of serous oncogenesis, or why cancers in BRCA 1 mutation carriers are found preferentially in tissues which are responsive to reproductive hormones. We hypothesize that molecular alterations are present in morphologically normal tubal epithelium from BRCA1 heterozygotes, and that these changes may reflect the earliest alterations in serous carcinogenesis and may be markers of increased cancer risk as well as targets for risk reduction. To identify cancer predisposition candidate genes of high-risk fallopian tube epithelium, we compared gene expression profiles of microdissected tubal epithelium from BRCA1 mutation carriers, control women and patients with HGSC. Methodology: Snap-frozen tissues were selected from the UHN Biobank; control and BRCA cases controlled for age, ovarian cycle status at surgery, and hormone therapy. Cases included 12 BRCA1 mutation carriers and 12 control women, undergoing salpingo-oophorectomy for reasons other than adnexal malignancy or family history, 15 HGSC and 8 contralateral normal tubes. Epithelium was microdissected in all cases using laser capture, RNA extracted and cDNA amplified. The gene expression profiles were generated using Affymetrix Human Genome U133 Plus 2.0 Array. Candidate genes were validated by qPCR and IHC on 2 fallopian tube TMAs. IHC was scored using Spectrum. Statistical analysis was performed using ANOVA (p<0.05) and Fisher's Exact Test p<0.05). Results: We focused the microarray analyses on identifying differential expression between BRCA1 heterozygotes and controls. Comparisons between FTE-nonBRCA and FTE-BRCA, resulted in 440 probe sets with more than 2-FC in gene expression. We selected 5 genes to validate by qPCR and IHC, based on gene ontology and known associations to cancer pathways. Conclusions: These results show that histological normal fallopian tube epithelium from BRCA1 heterozygotes have altered gene expression and these differences are most pronounced in the post-ovulatory phase of the ovarian cycle in pre-menopausal women, suggesting that factors associated with the luteal phase are implicated in the increased risk of HGSC in BRCA1 mutation carriers. We also show that genes involved in inflammation pathways are up-regulated in mutation carriers and that these genetic signatures are maintained in HGSC. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2835. doi:10.1158/1538-7445.AM2011-2835
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 | 0,001 | 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) | 0,002 | 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 ».