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Enregistrement W2564166632 · doi:10.1016/s1525-0016(16)33224-5

415. The Potency of a Histone Deacetylase Inhibitor and Reolysin in Head and Neck Squamous Cell Carcinoma

2016· article· en· W2564166632 sur OpenAlexaboutno aff
Matthew Old, Cristina Jamie-Ramirez, Jun‐Ge Yu, Bhavna Kumar, Pawan Kumar, Quintin Pan, Theodoros N. Teknos, Flavia Pichiorri, Balveen Kaur

Notice bibliographique

RevueMolecular Therapy · 2016
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueVirus-based gene therapy research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOncolytic virusVorinostatHistone deacetylase inhibitorCancer researchImmune systemHead and neck squamous-cell carcinomaCancerHistone deacetylaseMedicineImmunologyBiologyHead and neck cancerHistoneInternal medicine

Résumé

récupéré en direct d'OpenAlex

Introduction: There is a clear and pressing need for novel therapies with activity against locally advanced head and neck cancers which still carry a dismal prognosis. Oncolytic viruses are powerful, targeted anti-cancer agents. Reovirus is a naturally occurring non-pathogenic virus that was isolated from the human respiratory and gastrointestinal tracts. Moreover, Reovirus type 3 Dearing (Reolysin; Oncolytics Biotech Inc., Calgary, AB, Canada) is currently being tested in phase I-III clinical trials in a variety of tumor types. Histone deacetylase inhibitors (HDACi) comprise a structurally diverse class of compounds that are targeted anticancer agents. The first FDA approved HDACi, vorinostat (suberoylanilide hydroxamic acid-SAHA), is highly effective in the treatment of cutaneous Tcell lymphoma. SAHA is currently being testing in head and neck cancer clinical trials. We previously found a synergistic combination of SAHA and Reolysin in a nude mouse model. Preclinical models of oncolytics are often in immunocompromised mice, negating the significant impact of the immune system. Mounting evidence demonstrates that the immune system is critically important in oncolytic viral response. In this study, we sought to investigate the impact of this combination in an immunocompetent model. Methods: Cell survival experiments were performed with reovirus and SAHA in shPTP-BL-Ras SCC cells. IC50 values were interpolated from a sigmoidal dose-response curve fit of the log-transformed survival data. JAM-1 surface levels were assessed via flow cytometric analysis. Cells were collected after 48 hours and cell death was assessed via Annexin V and PI staining. JAM-1 levels were assessed using anti-JAM-1-PE staining as compared to a control isotype-PE antibody. Whole splenocytes were isolated at the time of death for C57BL/6 mice bearing MTE tumors treated in 4 groups (control, SAHA, reovirus, and combination). Three independent mice were stained per group for the following: B cells (CD19+), NK cells (CD49b+), activated NK cells (CD49b+NKp46+), dendritic cells (CD11c+) and activated DCs (CD11c+MHCII+ or CD11c+CD86+), CD4 T helper (CD3+CD4+), and CD8 cytotoxic cells (CD3+CD8+). Results: Experiments demonstrated significant efficacy of SAHA and Reolysin treatment in vitro and in the immunocompetent mouse model. Combination therapy exhibited a synergistic anti-tumor effect with a significant increased survival of mice compared to any of the agents alone. The Jam1 receptor was upregulated on tumor cells allowing enhanced reovirus uptake. There was marked and significant reduction in circulating B cells in combination treated mice versus all other groups. Activated NK cells were decreased in the combination group. T cells and dendritic cells (CD11c+MHCII+) were reduced in the SAHA groups. SAHA model withdrawal experiments show a significant synergistic response and immune system rebound after SAHA cessation. Conclusion: This data demonstrates that combination of reovirus plus SAHA therapy has significant activity in the treatment of SCCHN, even in an immunocompetent model. Immune inhibition due to SAHA as well as increased Jam1 receptor expression on tumor cells results in a synergistic effect of the combination therapy. Immune system rebound likely plays a significant role in the long-term anti-tumor response. This strong preclinical evidence supports the translation of this combination to phase-I clinical trials.

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)0,000
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 enseignants0,021
Score d'incertitude au seuil0,468

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
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 Opus0,011
Tête enseignante GPT0,280
Écart entre enseignants0,269 · 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

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

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