Notice bibliographique
Résumé
Dysregulation of the DNA damage response (DDR) creates the genomic instability that promotes tumorigenesis. Depending on the type of DDR defect, it can have prognostic significance and confer sensitivity or resistance to different chemotherapeutic drugs. Exploiting defects in the DDR by inhibiting complementary DDR pathways is an exciting new paradigm in anticancer therapy. The prime example is the exquisite sensitivity of cells with defects in BRCA1 and BRCA2 to PARP inhibitors (PARPi).1 BRCA1 and BRCA2 are key components of homologous recombination DNA repair (HRR) while PARP plays a central role in DNA single strand (SS) break repair (SSBR). While loss of SSBR or HRR alone does not impact significantly on viability that disruption of both SSBR and HRR together is synthetically lethal. Several PARPi are in currently late-stage clinical evaluation, largely in patients with tumors harbouring known (BRCA mutations) or suspected defects in HRR. Since HRR is a multicomponent pathway and a defect in any one component can compromise the whole pathway the search is on for other determinants of sensitivity to PARPi in order to identify patients that may benefit from this novel tumor-specific therapeutic approach. ATM signals DNA double-strand breaks (DSBs) to cell cycle checkpoints via Chk2 and p53. ATM has been linked to HRR and knockdown of ATM is also synthetically lethal with PARPi.2 Following on from their studies in ATM-defective Mantle cell leukemia,3 and similar studies in ATM-defective (11q deletion) chronic lymphocytic leukemia,4 the group in Calgary now demonstrate the increased sensitivity of gastric carcinoma cells with low levels of ATM protein and p53 dysfunction to the PARPi, olaparib.5 They support this finding with a number of complementary approaches using unmatched cells with differing ATM and p53 status, ATM and p53 knockdown and the use of inhibitors, with converging results. Based on these data one might speculate that PARP, by promoting repair, reduces replication stress and replication-associated DSBs and that p53 and ATM prevent replication stress leading to cell death by activating cell cycle arrest and also promoting repair. Therefore PARPi will preferentially kill cells in which cell cycle checkpoint activation has been compromised by the inactivation of p53 and ATM (Fig. 1). Figure 1. Role of PARP ATM and p53 in cell viability Endogenous DNA damage is repaired by PARP to maintain viability. If PARP is inhibited replication stress and DSB ensue, triggering p53 and ATM to arrest the cell and promote repair of the DSB. In the absence/inhibition ... Since gastric cancer is the second most common cause of cancer deaths in the world and many harbour defects in ATM, associated with microsatellite instability,6 these findings suggest that PARPi therapy may benefit a substantial number of patients and that ATM levels may be used as a biomarker to stratify patients to receive a PARPi or conventional therapy. Olaparib, in combination with paclitaxel was recently shown to be of benefit in patients with gastric cancer, particularly those with low ATM levels determined by IHC ({type:clinical-trial,attrs:{text:NCT01063517,term_id:NCT01063517}}NCT01063517), demonstrating the feasibility of the approach.7 Interestingly, in the study by Kubota et al 5 levels of ATM protein in the cell line panel did not correlate with mutations in the ATM gene on the COSMIC database, and the olaparib sensitivity correlated with the protein level rather than the genomic data. This may have implications for clinical trials of molecularly targeted agents, such as PARPi, in which the patients are stratified on the basis of genomics rather than protein levels.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 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 | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».