Abstract PD09-01: BRCA1 inactivation induces NF-κB in human breast cancer cells and in murine and human mammary glands
Notice bibliographique
Résumé
Abstract Understanding the biological mechanisms underlying the initiation and progression of breast cancer it is an important step for its prevention and treatment. In 2011 in the United States, approximately 230,000 women were diagnosed with breast cancer and 40,000 died. Individuals with mutations in breast cancer-associated gene 1 (BRCA1) have a lifetime risk of developing breast cancer up to 85%. It is well known that BRCA1 participates in DNA damage repair and cell cycle checkpoint control, serving as a tumor suppressor gene to maintain the global genomic stability. However, BRCA1 has also been shown to play a key role in maturation of mammary stem/progenitor cells, which are the targets for carcinogenesis in individuals who have undergone loss of heterozygosity (LOH) for BRCA1. Recently, it has also been shown that NF-κB activity is increased in both mammary carcinoma cell lines and primary human breast cancer tissue. Indeed, in a previous study it has been demonstrated that NF-κB inducible kinase (NIK), p100/p52 and RelB (all components of the alternative NF-κB pathways) were increased in BRCA1-mutated tumors. Here we show that BRCA1-loss or -mutation is responsible for activation of the alternative NF-κB pathway evidenced by NIK and IκB kinase-α (IKKα) phosphorylation, processing of p100 to p52 and p52/RelB nuclear localization. Moreover, increased p52 was also observed after BRCA1 inhibition. A BRCA1-mutated human breast cancer cell line (HCC1937) was also used to understand the role played by NIK in NF-κB alternative pathway activation. Indeed, NIK inhibition in HCC1937 cell line resulted in a decrease in p52 formation. Moreover, a decrease in NIK mRNA level was also observed when wild-type BRCA1 was reconstituted in HCC1937 cells. BRCA1 inactivation in MCF-7 cells also induced NIK phosphorylation and nuclear localization of RelB and p52. Overall, these data show that inactivation of BRCA1 increases NIK mRNA level, associated with induction of the NF-κB alternative pathway. Stem/progenitors cells sorted using the CD24/CD49f immunophenotype derived from BRCA1 knockout mouse mammary glands showed alternative NF-κB pathway activation. Inhibition of IKKα/β using BMS-345541 completely blocked mammary colony formation in a Matrigel assay. Moreover, increased p52 formation was found in mammary stem/progenitor cells and mammary gland paraffin sections obtained from BRCA1 knockout mice. Remarkably, RelB and p100/p52 were highly expressed in 20–50% of the lobular structures in histologically normal breast tissue obtained from human BRCA1 mutation carriers while no staining was evident in normal tissue from non-carrier mastectomy samples. Our data show that BRCA1 inactivation induces alternative NF-κB activation which ultimately promotes the expansion of the mammary progenitor population. These novel findings provide a new basis for functional classification of BRCA1 mutations and a potential method for predicting breast cancer in BRCA1 mutation carriers. Lastly our results suggest that targeting the alternative NF-κB pathway could be of benefit in the prevention of BRCA1-associated breast cancer by limiting progenitor cell expansion. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr PD09-01.
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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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; 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 ».