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Enregistrement W4405038873 · doi:10.1182/blood-2024-201150

Outcomes of Patients Intended for Autologous Stem Cell Transplantation with CT-Based Partial Response but PET-Based Deauville Score of 5 after Salvage Chemotherapy

2024· article· en· W4405038873 sur OpenAlexaff
Chathuri Abeyakoon, Vanessa Murad, Ho‐Young Yhim, Inna Y. Gong, John Kuruvilla, Michael Crump, Anca Prica, Vishal Kukreti, Sita Bhella, Christine I. Chen, Chloe Yang, Richard Tsang, David Hodgson, Danielle Rodin, Nauman Malik, Woodrow Wells, Ur Metser, Robert Kridel, Abi Vijenthira

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueMedical Imaging Techniques and Applications
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicineTransplantationStem cellAutologous stem-cell transplantationChemotherapyChemotherapy regimenSalvage therapyInternal medicineOncologyNuclear medicineBiology

Résumé

récupéré en direct d'OpenAlex

Background: Salvage chemotherapy (ST) followed by autologous stem cell transplant (ASCT) is widely used to treat relapsed/refractory large B-cell lymphomas (LBCL), both for late relapses and in jurisdictions without access to second-line chimeric antigen receptor T-cell (CAR-T) therapy. The most important criterion in determining ASCT eligibility is response to ST defined historically as CT-based complete or partial morphologic response (CR, PR) and more recently, complete or partial metabolic response (CMR, PMR) on pre-ASCT PET according to the Deauville Score (DS). Pre-ASCT DS has been shown to predict outcomes, but this has mainly been shown in patients (pts) with DS1-3 or 4. For pts with a PR but DS5, it is unknown whether the most appropriate pathway is to pursue ASCT or to move to third-line CAR-T. Our objective was to assess the outcomes of pts with PR with DS5 on pre-ASCT PET, comparing those who received ASCT to those who moved to third-line CAR-T, against a control group of pts with PR with DS4. We also explored whether delta (Δ) SUVmax >66%, a validated interim response measure in frontline LBCL, performed better than DS in discriminating outcomes. Methods: Retrospective study of pts intended for ASCT at Princess Margaret Cancer Centre from January 2014 to July 2024. Inclusion criteria: adults >18 years with a histological diagnosis of de novo or transformed LBCL receiving ST (anthracycline or platinum-based) intended for ASCT with a pre-ASCT PET/CT (typically performed after 3 cycles of (R)GDP or 4-6 cycles of anthracycline-based treatment for transformed disease) demonstrating PR (per RECIST criteria) with DS5 (SUVmax >3 times liver). A control group of pts with PR with DS4 was included. Outcomes included progression-free survival (PFS) (date of pre-ASCT PET to progression or death after cell infusion (stem cells or CAR-T cells)) and overall survival (OS) from pre-ASCT PET. Survival probability and effect sizes were calculated using Kaplan-Meier method and cox regression. A two-sided p-value of 0.05 was used to establish significance. Results: We included 105 pts with PR on pre-ASCT PET (45: DS5, 60: DS4). Of the 45 pts with DS5, 36 proceeded to ASCT and 9 to CAR T. There were no differences in baseline characteristics (age, sex, diagnosis, refractory status, revised international prognostic index (rIPI), stage, bulk and persistently FDG avid sites) between the 3 groups (ASCT DS4, ASCT DS5, CAR-T DS5). Median age was 58 yrs (IQR 46-63); 34% were female. De novo diffuse large B-cell lymphoma (DLBCL), high grade B-cell lymphoma, transformed DLBCL and primary mediastinal B-cell lymphoma comprised 54%, 9%, 30% and 7% of cases, respectively. Primary refractory disease (<3 months), early relapse (3-12 months), late relapse (>12 months), and POD24 with transformed DLBCL were seen in 56%, 12%, 28%, and 4% of cases, respectively. At time of relapse, 70% had stage III/IV, 39% had bulky disease (>10 cm) and 32% had high risk rIPI. Pre-ASCT PET SUVmax was similar between the ASCT DS5 and CAR-T DS5 groups; 14.9 (95% CI 12-19.5) vs. 19.4 (95% CI 17.1-24.2), p=0.26. All pts who underwent CAR-T received axicabtagene ciloleucel: 6/9 received radiation bridging, 2/9 received steroid bridging and 1/9 received no bridging. During a median follow up of 424 days (IQR 214-1249), 56 (53%) pts progressed and 44 (42%) died. The 6-month PFS for pts receiving ASCT DS4, ASCT DS5, and CAR-T DS5 was 73% (95% CI 60-84), 46% (95% CI 30-63), and 63% (95% CI 29-96), p<0.0001. Among pts with DS5, CAR-T vs. ASCT demonstrated a HR of 0.77 (95% CI 0.32-1.89), p=0.56. ΔSUVmax >66% did not discriminate outcomes better than DS in pts receiving ASCT. Of pts who progressed after ASCT when CAR-T was available, 63% (17/27) received third-line CAR-T. There was no difference in 6-month OS between the three groups; ASCT DS4 93% (95% CI 86-100), ASCT DS5 77% (95% CI 63-91) and CAR-T DS5 88% (95% CI 65-100), p=0.08. Conclusion: Our data represent a sizable cohort of pre-ASCT PET DS5 pts. Outcomes in the CART D5 group were not significantly different compared to the ASCT DS group, which may be related to inadequate statistical power with small sample size. Poor outcomes are noted in pts with pre-ASCT PET DS5 disease regardless of therapeutic approach representing an area in need of improved treatment. The analysis will be updated and we intend multicentre collaboration, as determining potential differences between D5 groups could impact clinical practice.

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)0,001
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 enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
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)0,0010,000

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 Opus0,013
Tête enseignante GPT0,273
Écart entre enseignants0,260 · 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
Publié2024
Routes d'admission1
Résumé présentoui

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