Synthetic Lethal Approaches to Metastatic Breast Cancer Therapy
Notice bibliographique
Résumé
Background Breast cancer is the most commonly diagnosed cancer in women and each year approximately 1.7 million new cases are detected globally. Metastatic breast cancers are the most aggressive form of this disease, with an average survival rate of less than 2 years. We recently discovered a metastasis suppressor, CREB3L1 (cAMP responsive element binding protein 3‐like protein), which is frequently missing from metastatic breast cancer cells. CREB3L1 is expressed ubiquitously in non‐cancerous human breast cells and restricts expression of genes that promote cell growth, angiogenesis, and migration. Loss of CREB3L1 expression can result in enhanced metastatic properties and our analysis indicates that it is a frequent event in high‐grade metastatic human breast tumors, thus highlighting a potential target for cancer therapy. Synthetic lethality is a promising approach for the development of targeted cancer therapies. The principle of synthetic lethality involves identifying a cancer cell‐specific defect and a second target or drug that triggers death only when both factors exist in the same cell. The synthetic lethality approach can target any gene differentially expressed between normal, cancer and metastatic cells, thus making CREB3L1 an ideal candidate. Objective Our aim is to identify synthetic lethal genes that are essential for cell survival in metastatic breast cancer cells that lack CREB3L1, but that are not essential in non‐metastatic breast cancer cells or normal cells. Methods Matched stable cell lines were generated in 5 metastatic breast cancer cell lines lacking CREB3L1 expression. Each cell line was transfected with HA‐tagged CREB3L1. Characterization was performed on each of the parental and transfected cell lines, comparing the extent of cell migration and anchorage‐independent growth. We identified several potential candidate synthetic lethal genes by performing microarray screens and using published gene essentiality data. Western blots were performed to determine if the candidate synthetic lethal proteins are expressed in each of the selected cell lines. To determine whether the candidate genes are selectively lethal in CREB3L1‐deficient cells, the impact of sh RNA‐mediated knockdowns were tested in the 5 cell lines ± HA‐CREB3L1 expression, as well as in a non‐tumorigenic breast cell line. Cell survival was determined at 2 time‐points. Results Re‐expression of CREB3L1 in the CREB3L1 −/− metastatic breast cancer cell lines repressed tumorigenic and migratory properties. Western blots verified that several of the candidate synthetic lethal proteins are expressed in all or most of the selected cell lines. Knockdowns for each target were successfully generated in a non‐tumorigenic breast cell line, confirming that the test genes are not essential for survival in non‐cancerous breast cells. Preliminary results have identified at least one gene that when down regulated specifically kills CREB3L1‐deficient cells, without harming normal CREB3L1‐expressing cells. Conclusion Future studies will test the promising candidates in mouse xenograft experiments using inhibitors to the gene products. Identifying inhibitors for targets that selectively kill cancer cells that are CREB3L1‐deficient will provide novel treatments for metastatic breast cancers. Support or Funding Information Funding for the project was provided by the Canadian Institutes of Health Research and the Saskatchewan Health Research Foundation.
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 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 ».