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Enregistrement W2954573235 · doi:10.1097/01.ogx.0000458794.60509.a8

Anti-Angiopoietin Therapy With Trebananib for Recurrent Ovarian Cancer (TRINOVA-1)

2014· article· en· W2954573235 sur OpenAlexaff
Bradley J. Monk, Andrés Poveda, Ignace Vergote, Francesco Raspagliesi, Keiichi Fujiwara, Duk‐Soo Bae, Ana Oaknin, Isabelle Ray‐Coquard, Diane Provencher, Beth Y. Karlan, Catherine Lhommé, Gary Richardson, Dolores Gallardo Rincón, Robert L. Coleman, Thomas J. Herzog, Christian Marth, Arija Brize, Michel Fabbro, Andrés Redondo, Aristotelis Bamias, Marjan Tassoudji, Lynn Navale, Douglas Warner, Amit M. Oza

Notice bibliographique

RevueObstetrical & Gynecological Survey · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueOvarian cancer diagnosis and treatment
Établissements canadiensCentre Hospitalier de l’Université de Montréal
Organismes subventionnairesnon disponible
Mots-clésMedicineBevacizumabOvarian cancerAdverse effectAngiogenesisVascular endothelial growth factorOncologyInternal medicineProgression-free survivalCancerEndometrial cancerChemotherapyGastroenterologyVEGF receptors

Résumé

récupéré en direct d'OpenAlex

Angiogenesis has become an important target for treatment of epithelial ovarian cancer. The growth of new blood vessels is critical for cancer growth, metastases, and progression. Vascular endothelial growth factor (VEGF) plays a key role in epithelial ovarian cancer. Adding anti-VEGF treatment to first-line chemotherapy, to maintenance therapy, or at the time of recurrence significantly prolongs progression-free survival. However, these agents have several adverse effects, including hypertension, thrombosis, emboli, bleeding, impaired wound healing, proteinuria, and bowel perforation. As many as a third of patients with epithelial ovarian cancer discontinue anti-VEGF treatment because of these adverse events. Trebananib has a mechanism of action and toxicity profile different from other antiangiogenesis agents. It inhibits angiogenesis by preventing the binding of angiopoietins 1 and 2 to the Tie2 receptor. In a randomized phase 2 trial, trebananib prolonged progression-free survival in patients with recurrent epithelial ovarian cancer. This agent has mild and reversible adverse events. Edema is a unique adverse effect. The aim of this randomized, double-blind, placebo-controlled phase 3 trial was to determine whether adding trebananib to single-agent weekly paclitaxel in patients with recurrent epithelial ovarian cancer would improve progression-free survival. A total of 919 women with recurrent epithelial ovarian cancer from 32 countries were enrolled between November 10, 2010, and November 19, 2012. Eligible patients had been treated previously with 3 or fewer regimens and also had a platinum-free interval of less than 12 months. Patients were enrolled using a computerized interactive voice response system and were randomized to receive weekly intravenous paclitaxel at 80 mg/m2 plus either weekly masked intravenous placebo (n = 458) or trebananib at 15 mg/kg (n = 461). Patients were stratified according to platinum-free interval (≥0 and ≤6 months vs >6 and ≤12 months), presence or absence of measurable disease, and region (North America, western Europe, Australia, or rest of world). All site staff, investigators, and patients were masked to the treatment assignments. The primary study outcome was progression-free survival. Data were analyzed according to intention-to-treat. At a median follow-up of 10.1 months, median progression-free survival was significantly longer in the trebananib group than in the placebo group (7.2 months; 95% confidence interval [CI], 5.8–7.4 vs 5.4 months; 95% CI, 4.3–5.5], respectively); the hazard ratio was 0.66, with a 95% CI of 0.57–0.77, P < 0.0001. No significant difference was found between treatment groups in the incidence of grade 3 or higher adverse events (placebo: 244 [54%] patients vs trebananib: 258 [56%] patients). Grade 3 or higher adverse events included the following: ascites (34 [8%] in the placebo group vs 52 [11%] in the trebananib group), neutropenia (40 [9%] vs 26 [6%]), and abdominal pain (21 [5%] vs 22 [5%]). Edema occurred more frequently among patients in the trebananib group (294 [64%]) than in the placebo group (127 [28%]), but it was generally mild. More adverse event–related treatment discontinuations occurred in the trebananib group than in the placebo group (77 [17%] patients vs 27 [6%] patients, respectively). There was less than a 2% difference between groups in incidence of the class-specific adverse events associated with anti-VEGF therapy (hypertension, proteinuria, impaired wound healing, thrombotic events, and bowel perforation); bleeding was more common in the placebo group (75 [17%] vs 46 [10%]). These findings show that trebananib provides a clinically meaningful prolongation in progression-free survival when added to weekly paclitaxel in the treatment of recurrent epithelial ovarian cancer. Although edema was increased, it was generally mild. Typical anti-VEGF–associated adverse events were not prominent. The data suggest that trebananib may be a non-VEGF antiangiogenesis option in this population.

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)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,279
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
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)0,0010,000

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 Opus0,064
Tête enseignante GPT0,319
Écart entre enseignants0,255 · 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.

Devis d'étudeObservationnel
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
Publié2014
Routes d'admission1
Résumé présentoui

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