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Enregistrement W2398137018 · doi:10.1158/1557-3265.ovca15-b72

Abstract B72: Long-term survival and outcome update on patients (pts) with recurrent ovarian cancer who received Ipilimumab post GVAX vaccine.

2016· article· en· W2398137018 sur OpenAlexaff
Ursula A. Matulonis, Stephen Hodi, Glenn Dranoff, Susana M. Campos, Richard T. Penson, Robert J. Soiffer, Marcus O. Butler

Notice bibliographique

RevueClinical Cancer Research · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueCancer Immunotherapy and Biomarkers
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésIpilimumabMedicineInternal medicineOvarian cancerOncologyCancerNivolumabCancer immunotherapyImmunotherapyImmunology

Résumé

récupéré en direct d'OpenAlex

Abstract Immunotherapeutic approaches are amongst the most exciting new therapies for cancer, and trials of immunotherapy agents to treat ovarian cancer are underway. We report on long-term outcomes of patients with advanced and recurrent ovarian cancer treated with single agent ipilimumab, a fully humanized IgG1 monoclonal antibody against CTLA-4, following receipt of GVAX vaccine, which was a lethally irradiated, autologous ovarian cancer cells engineered by adenoviral gene transfer to secrete granulocyte macrophage colony stimulating factor (GM-CSF). The objectives of this study were to determine the safety of ipilimumab, identify preliminary evidence of biologic activity and efficacy of ipilimumab post GVAX, and, as an exploratory objective, to correlate clinical benefit with the presence of antibodies to NY-ESO and p53. Results: Eleven pts who initially were treated with GVAX received ipilimumab (3 mg/kg) IV every 2 months on this study. These 11 patients had a median age of 61 years (range 38-82 years of age) at the time on enrollment and all had measureable cancer by RECIST 1.0. Eight pts had platinum resistant cancer and 3 had platinum sensitive cancer. Histologies enrolled were high grade serous (8 pts), clear cell (1pt), poorly differentiated (1 pt), and low grade serous that had evolved to high grade (1 pt). Patients were allowed to have had intervening treatment between initial GVAX vaccine and start of ipilimumab. Of the 11 pts, the median interval between GVAX and ipilimumab was 3 months, ranging from 1 month to 38 months. Overall, ipilimumab at 3 mg/kg was well tolerated; rash was grade 1 (63%), grade 2 (9%), grade 3 (9%). Diarrhea was 18% grade 2 and 18% grade 3. Other constitutional symptoms such as fatigue were 18% grade 1 and 9% grade 3. Of the 11 pts, 6 pts had disease progression by RECIST after 1 infusion of ipilimumab with overall survival post-ipilimumab ranging from 3 to 35 months; 2 of these pts had platinum sensitive recurrence. Of the 5 pts who either experienced SD (4 pts) and PR (1 pt), the number of ipilimumab infusions were 1, 2 (2 pts), 4, and 25 infusions with survival ranging from 23 to 104 months post-ipilimumab. One patient (OV65) who received 25 ipilimumab infusions from 2003 through 2011 lived for 104 months post-initiation of ipilimumab and had a PR to ipilimumab at 95 months; she had high grade serous platinum resistant cancer with spread to liver/omentum/lymph nodes, had present NY-ESO Ab's, and had a 1 month interval between GVAX and the initiation of ipilimumab infusions. OV65 received no further chemotherapy treatment after ipilimumab was started though she had evidence of cancer present during her ipilimumab treatment course; her eventual death was not cancer related. Conclusions: CTLA-4 blockade with ipilimumab can induce long-term disease control and has evidence of activity in ovarian cancer. The role of prior GVAX vaccination is not clear. Citation Format: Ursula Anne Matulonis, Stephen Hodi, Glenn Dranoff, Susana Campos, Richard Penson, Robert Soiffer, Marcus Butler. Long-term survival and outcome update on patients (pts) with recurrent ovarian cancer who received Ipilimumab post GVAX vaccine. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: Exploiting Vulnerabilities; Oct 17-20, 2015; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(2 Suppl):Abstract nr B72.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,002
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,155
Tête enseignante GPT0,480
Écart entre enseignants0,326 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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