Contemporary survival endpoints: an International Diffuse Intrinsic Pontine Glioma Registry study
Notice bibliographique
Résumé
Our understanding of diffuse intrinsic pontine glioma (DIPG) biology has rapidly evolved in recent years. Promising agents such as panobinostat, with demonstrated disease-specific preclinical efficacy, are currently in clinical trials. Determination of clinical benefit by measuring improved progression-free survival (PFS) and overall survival (OS) requires well-defined historical controls. However, many previous studies evaluating these endpoints included small numbers of patients, were single institution studies, and were not limited to DIPG but rather included all brainstem tumors.1–4 The most recent study investigating median post-progression survival (PPS) time (ie, time from initial tumor progression to death) in DIPG patients was published over 20 years ago.5 We evaluated survival endpoints in patients registered in the International DIPG registry (IDIPGR). Diagnoses of DIPG (defined as tumors with a pontine epicenter and diffuse involvement of at least two thirds of the pons) in patients were made by central radiological review between January 1, 2004 and January 1, 2014. Radiographic progression was determined by central review. PFS was defined as time from date of diagnosis to date of radiographic progression or death from any cause. Time to progression (TTP) was time from date of diagnosis to date of radiographic progression; death was censored. OS was time from date of diagnosis until date of death or censorship. PPS was measured for each patient as OS minus PFS, and for each patient with recorded progression as OS minus TTP. Median and percent survival were estimated using the Kaplan–Meier method. We identified 372 patients, 235 (63.2%) of whom had documented radiographic progression. Median age at diagnosis was 6.3 years (range 4.6–9.1 y), 55% were female. Caucasian represented the largest portion of racial category (42.7%), followed by other (11.3%), African (9.9%), and Asian (2.4%). Two hundred nineteen patients (58.9%) had symptom duration of less than 6 weeks at diagnosis. Median OS was 11.2 months, consistent with prior reports (Table 1). We found no statistically significant survival differences by age, gender, or racial category. Survival endpoints Survival endpoints The IDIPGR, launched in 2012, has enrolled 722 patients to date. By gathering data from larger numbers of patients and including international patient data, outcome studies have larger statistical power and may be more representative of patient outcomes.6 Median PPS (OS − TTP) was 4.8 months for the 235 patients with recorded radiographic progression prior to death. For the 137 patients without documented progression, their respective PPS (OS − PFS) measured 0. Median PPS (OS − PFS) as measured for the entire cohort of 372 patients, then, was 2.3 months (Table 1). It is important to understand how differences in survival definition affected results. This study has several limitations. Although patient enrollment into the IDIPGR requires fulfillment of predefined DIPG diagnostic criteria, clinical-radiographic diagnoses remain vulnerable to subjectivity. A small percentage, 4.6%, of patients had symptom duration of more than 24 weeks prior to diagnosis, begging the question of biologic diversity among registry patients. Clinical and radiographic definitions of progression for patients with DIPG are not standardized and treatment-related changes may complicate interpretation. This study defines PFS and OS, and is the first to describe post-progression survival in a large cohort of children with DIPG to establish a more reliable historical comparison group for clinical trials. To design trials efficiently and effectively, incorporating the appropriate endpoints is imperative. We gratefully acknowledge all patients and their families who have supported and contributed to the International DIPG Registry. Supporting foundations include: the Cure Starts Now Foundation, Hope for Caroline Foundation, Julian Boivin Courage for Cures Foundation, Abbie’s Army, Michael Mosier Defeat DIPG Foundation, Reflections of Grace Foundation, the Cure Starts Now Australia, Brooke Healey Foundation, Soar With Grace Foundation, Jeffrey Thomas Hayden Foundation, Cure Brain Cancer Foundation, the Jones Family Foundation, Musella Foundation, Pray, Hope Believe Foundation, Smiles for Sophie Foundation, Bennys World, Love Chloe Foundation, Aidens Avengers, a Cure from Caleb Society, the Operation Grace White Foundation, Ryans Hope, Wayland Villars DIPG Foundation, American Childhood Cancer Organization, Juliana Rose Donnelly Trust, Sheila Jones & Friends, the Ellie Kavalieros DIPG Research Fund, Voices Against Brain Cancer, the DIPG Collaborative. We also acknowledge the support of the Child Health Research Institute, Stanford University. The authors report no conflict of interest.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».