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Enregistrement W2604598757 · doi:10.1158/1557-3125.dnarepair16-ia24

Abstract IA24: Targeting Chk1

2017· article· en· W2604598757 sur OpenAlexaboutno aff
Alan Eastman

Notice bibliographique

RevueMolecular Cancer Research · 2017
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueDNA Repair Mechanisms
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCancer researchCancerCHEK1MedicineCell cycleCell cycle checkpointInternal medicine

Résumé

récupéré en direct d'OpenAlex

Abstract The majority of traditional anticancer drugs inhibit DNA synthesis either by directly damaging DNA or by inhibiting synthesis of deoxyribonucleotide precursors. DNA damage induces cell cycle arrest through activation of cell cycle checkpoints whose goal is to prevent further DNA synthesis or mitosis until the damage is repaired. These checkpoints have undergone intense investigation as potential therapeutic targets, and Chk1 inhibitors (Chk1i) have emerged as promising novel therapeutic agents (1). Chk1 was initially recognized as a regulator of the DNA damage-induced S and G2 checkpoints, and its inhibition forced S phase progression followed by mitotic catastrophe of arrested cells. Subsequently, it was found that the combination of Chk1i with antimetabolites (particularly gemcitabine and cytarabine) more effectively enhanced cell killing (2, 3), and these combinations entered clinical trials. Little clinical benefit has been reported to date, and development of several Chk1i has been terminated for toxicity; whether the toxicity was due to on-target effects remains to be established. It is worth noting one outlier response in which a patient receiving irinotecan and the Chk1i AZD7762 attained a durable response; the sensitivity was tracked to a mutation in RAD50. This suggests that subsets of patients may have therapeutic benefit from this combination (4). Intriguingly, a few cell lines are also highly sensitive to Chk1i as a single agent suggesting subsets of tumors may exist that are uniquely sensitive to these drugs (5). Development of AZD7762 and another Chk1i, MK-8776, were terminated, but clinical trials are continuing with two other Chk1i: LY2606368 and GDC-0425; and a Phase I trial with V158411 is planned. The sensitivity to Chk1i as a single agent results from inappropriate activation of CDK2 in S phase, which in turn depends on the differential activation of the upstream phosphatase CDC25A (5, 6). This results in rapid appearance of DNA double-strand breaks that are dependent on Mre11 and Mus81 nucleases (7). The ability of Chk1i to abrogate DNA damage-induced S phase arrest is commonly attributed to activation of CDC25A/CDK2, yet we find that abrogation of arrest occurs even when CDK2 is inhibited. In contrast, inhibition of CDC7 prevents S phase progression. Similarly, the sensitivity to ribonucleotide reductase inhibitors such as gemcitabine is independent of CDK2 but dependent on CDC7. In this case, the continued absence of dNTPs prevents S phase progression, but DNA helicases are activated by Chk1i creating excess single-strand DNA that exhausts the protective single-strand binding protein RPA. The unprotected DNA is then susceptible to nuclease activity. The mechanistic link between Chk1 and CDC7 remains to be established. Administering a combination of two drugs to a patient, for example gemcitabine and a Chk1i, requires knowledge of how both drugs work in a human. One critical problem with preclinical experiments is that they are too often performed with continuous incubation over many days, yet in a patient, the drugs are usually administered over a short period of time. In the case of gemcitabine, a brief incubation in cell culture, or a bolus administration to a mouse or patient, leads to rapid and irreversible inhibition of ribonucleotide reductase and persistent S phase arrest. To assess the optimum time of addition of Chk1i, we added MK-8776 for 6 h periods following a 6 h treatment with gemcitabine. The greatest growth inhibition in vitro occurred when the addition of MK-8776 was delayed to 18 h, and this correlated with the maximal accumulation of cells in S phase. This delayed schedule was also shown to be more effective than concurrent administration in a xenograft model (3). Despite the apparent efficacy of MK-8776 in combination with gemcitabine, experiments to assess the single agent activity of MK-8776 have not detected tumor growth inhibition. We propose several explanations: when used as a single agent, a higher concentration of MK-8776 is required to inhibit cell growth than when combined with gemcitabine; cells also appear to recover better following a 6-h incubation with MK-8776 as a single agent than a 6-h treatment in combination suggesting that longer target inhibition is required for single agent activity. These 6-h treatment periods were selected because they reflect the in vivo concentration and half-life of MK-8776 in patients. These disappointing effects may be circumvented with alternate Chk1i that achieve greater bioavailability for a longer period of time. In this regard, both GDC-0425 and LY2606368 exhibit longer plasma half-lives, and Vernalis has a lead compound that has exhibited single agent activity in a xenograft model (Andrew Massey, personal communication). In summary, while initial clinical trials have generally resulted in marginal therapeutic activity, there may be subsets of patients who may respond well, and Chk1i with prolonged bioavailability may have enhanced in vivo efficacy either alone or in combination. References: 1. Sakurikar N, Eastman A. Will targeting Chk1 have a role in the future of cancer therapy? J. Clin. Oncol. 33:1075-1077, 2015. 2. Montano R, Chung I, Garner KM, Parry D, Eastman A. Preclinical development of the novel Chk1 inhibitor SCH900776 in combination with DNA damaging agents and antimetabolites. Mol. Cancer Therap. 11:427-438, 2012. 3. Montano R, Thompson R, Chung I, Hou H, Khan N, Eastman A. Sensitization of human cancer cells to gemcitabine by the Chk1 inhibitor MK-8776: cell cycle perturbation and impact of administration schedule in vitro and in vivo. BMC Cancer 13:604, 2013. 4. Al-Ahmadie H, Iyer G, Hohl M, Asthan S, Inagaki A, Schultz N, et al: Synthetic lethality in ATM-deficient RAD50-mutant tumors underlies outlier response to cancer therapy. Cancer Discovery, 4:1014-1021, 2014 5. Sakurikar N, Thomson R, Montano R, Eastman A. A subset of cancer cell lines is acutely sensitive to the Chk1 inhibitor MK-8776 as monotherapy due to CDK2 activation in S phase. Oncotarget 7:1380-1394, 2016. 6. Sakurikar N, Eastman, A. Critical reanalysis of the methods that discriminate the activity of CDK2 from CDK1. Cell cycle, 15:1184-1188 2016 7. Thompson R, Montano R, Eastman A. The Mre11 nuclease is critical for the sensitivity of cells to Chk1 inhibition. PlosOne, 7:e44021, 2012. Citation Format: Alan R. Eastman. Targeting Chk1 [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr IA24.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,053
Score d'incertitude au seuil0,636

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,050
Tête enseignante GPT0,400
Écart entre enseignants0,350 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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