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Enregistrement W4379981722 · doi:10.1002/hon.3163_43

GOLIDOCITINIB IN TREATING REFRACTORY OR RELAPSED PERIPHERAL T‐CELL LYMPHOMA: PRIMARY ANALYSIS OF THE MULTINATIONAL PIVOTAL STUDY RESULTS (JACKPOT8)

2023· article· en· W4379981722 sur OpenAlexaff
Woo Seok Kim, Qingqing Cai, Yuqin Song, Luis Malpica, Neha Mehta–Shah, Weili Zhao, Keshu Zhou, Jun Wu, Haiyang Zhang, Kaiyang Ding, YF Liu, Zhongxin Li, Liling Zhang, M. Zheng, Jie Jin, Haiyan Yang, Yu Shuang, Dok Hyun Yoon, Sujun Gao, Wanbin Li, Zhiwei Zhai, Liqun Zou, Yaming Xi, Youngil Koh, Fei Li, Hui Zhou, Lie Lin, H. Liu, Weiwei Yu, Jun Zhu

Notice bibliographique

RevueHematological Oncology · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensInstitute of Cancer Research
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineDiscontinuationRefractory (planetary science)Clinical endpointGastroenterologyOncologySurgeryClinical trial

Résumé

récupéré en direct d'OpenAlex

Introduction: Currently there is no consensus on the treatment of relapsed/refractory (r/r) PTCL, and patient prognosis was poor. Golidocitinib is an orally available, JAK1-selective inhibitor currently being evaluated in a multinational, pivotal study in r/r PTCL (JACKPOT8 Part B, NCT04105010). Here we reported the primary analysis of efficacy and safety results of this study. Methods: PTCL patients who had relapsed from or had been refractory/intolerant to ≥1 (but ≤3) prior systemic therapy(ies) were enrolled to receive golidocitinib at 150 mg once daily until disease progression or pre-defined discontinuation criteria were met. The primary endpoint was CT-based objective response rate (ORR) assessed by an independent review committee (IRC) according to Lugano 2014 classification. The efficacy analysis set included patients whose pathological diagnosis of PTCL had been retrospectively confirmed by a central laboratory and who had at least one measurable lesions at baseline. The safety analysis set included all dosed patients. Results: As of 30 November 2022, a total of 104 patients with r/r PTCL were enrolled and dosed with golidocitinib. Baseline characteristics: median age was 58 yrs; 64.4% were male; 20.2% had baseline bone marrow involvement. Major subtypes included NOS (46.2%), AITL (15.4%) and ALCL (9.6%). The median prior lines of therapies were two. All of the patients had been treated with chemotherapies, and 48.1% had been treated with histone deacetylase inhibitors. By the data cut-off (DCO) date, a total of 80 patients had both IRC assessment and central pathology review results available, and thus were included in the efficacy analysis. Among them, 35 patients achieved tumor response (ORR = 43.8%), including 20 patients (25.0%) achieved complete responses. Tumor response was observed in various subtypes, including AITL (56.3%), NOS (45.7%), ALCL (11.1%) and others (44.4%). In patients who relapsed from HDAC inhibitor treatment, 54.8% achieved tumor response. With a median follow-up of 5.5 months for responders, the median duration of response (DoR) has not been reached. Golidocitinib was tolerated in patients with r/r PTCL. By the DCO date, the longest duration on treatment was 15.7 months (still responding). The most common ≥ grade 3 treatment-related adverse events (TRAEs) were hematological in nature, including neutrophil count decreased (26.0%), white blood cell count decreased (25.0%), platelet count decreased (16.3%) and lymphocyte count decreased (16.3%). TRAEs leading to dose interruption, reduction, and discontinuation were 37.5%, 5.8%, and 7.7%, respectively. The majority of TRAEs were reversible or clinically manageable. Conclusions: Golidocitinib demonstrated its potential as a novel targeted therapy for the treatment of r/r PTCL. The updated data will be presented at the conference. Encore Abstract—previously submitted to ASCO 2023 Keywords: aggressive T-cell non-Hodgkin lymphoma, molecular targeted therapies Conflicts of interests pertinent to the abstract W. Yu Employment or leadership position: Employed by Dizal Pharmaceutical

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)0,001
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,019
Score d'incertitude au seuil0,476

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,002
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 Opus0,042
Tête enseignante GPT0,342
Écart entre enseignants0,300 · 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'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
Publié2023
Routes d'admission1
Résumé présentoui

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