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Enregistrement W3212917465 · doi:10.1182/blood-2021-153011

Myeloma Patients with Deletion of 17p: Impact of Tandem Transplant and Clone Size

2021· article· en· W3212917465 sur OpenAlexaff
Alfredo De La Torre, Eshetu G. Atenafu, Adam C. Smith, Vishal Kukreti, Anca Prica, Sita Bhella, Donna Reece, Rodger E. Tiedemann, Suzanne Trudel, Christine I. Chen

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensUniversity of TorontoPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésFluorescence in situ hybridizationMultiple myelomaTransplantationMedicineOncologyMonosomyInternal medicineAutologous stem-cell transplantationChromosome abnormalityBiologyKaryotypeGeneticsChromosome

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction The presence of deletion 17p or monosomy 17 (del(17p)/-17) detected by fluorescence in situ hybridization (FISH) is well-established as a high-risk (HR) factor in multiple myeloma (MM). The del(17p)/-17 clone size and the clinical impact in patients that have ≥60% involved nuclei is controversial. Optimal treatment is also controversial, with tandem autologous stem cell transplantation (ASCT) explored but not uniformly adopted in the real world (ENM02, StaMMina). At our center, we have routinely offer tandem transplantation for del(17p)/-17 and now review our experience over a 10-year period, including the significance of del(17p)/-17 genetic variations on outcomes. Methods We performed a retrospective chart review of all patients identified with del(17p)/-17 patients who were offered tandem transplant and underwent at least one ASCT at Princess Margaret Cancer Centre from 2009-2019. Patient and disease characteristics, responses, and survival outcomes were collected from the Myeloma and Transplant databases and electronic patient records under REB approval. Results Patient, disease, and treatment characteristics. We identified 100 patients with del(17p)/-17 who underwent ASCT at our center. These patients were separated into three groups: those with a deletion of the TP53 locus (57%), those that had monosomy 14 (17%), and those with a relative loss the TP53 locus (eg. aneusomy or polyploidy,13%). The median % of nuclei with del(17p) was 39% (range 5-93%), with 27 (25%) over 60%. 28% of patients carried at least one other cytogenetic abnormality besides del(17p), most commonly t(4;14). All patients were intended for tandem transplant, but only 69 (69%) completed both transplants. Reasons for not proceeding to a second transplant were: patient declined (29%), toxicity (26%), clinical trial (19%), progression prior to the second transplant (13%), with one early death (3%). Median age at transplant was 61 years (range 40-72); most were male (61%) with advanced R-ISS II and III (97%). The most common induction regimen used was cyclophosphamide, bortezomib and dexamethasone (CYBORD)(87%), with 10% requiring a 2 nd induction regimen for inadequate response/progression. Standard conditioning was melphalan 200mg/m 2 for both first and second transplants. Median time from diagnosis to first ASCT was 5.9 months (range 3-24) and time from first to second transplant was 3.3 months (range 1-7). Most patients (90; 84%) received maintenance therapy post-transplant: 47% lenalidomide, 29% multiple agents (commonly lenalidomide and a proteasome inhibitor) Response and survival outcomes After induction, the rate of VGPR (very good partial response) or greater was 53%, increasing to 73% after 1 st ASCT, 85% after 2 nd ASCT. At a median follow-up of 32 months (range 3-130), the median PFS for all patients was 39.2 months 95% CI (24.1-46) and median OS was not yet reached (NYR) (95% CI 57.9-NYR). When analyzed by whether single or tandem transplant was performed, median PFS was 21.8 months (95% CI 10.3-43.3) for single ASCT, and 42.1 months (95% CI 32.8-NYR) for tandem ASCT (P=0.0096). The median OS was 57.6 months for single ASCT (95% CI 22.2-86.5), but NYR for tandem ASCT (95% CI 105.6-NYR) (p=0.0022). On subgroup analysis, patients with ≥60% del(17p) achieved a median PFS 45 months (95% CI 14.4-NYR) and median OS 68.5 months (95% CI 20.9-68.5), median was only PFS 24.9 months (95% CI0.4-NYR) and median OS 29.3 months (95% CI 0.4-68.5) for those who received single ASCT. (table1) TP53 signal pattern analysis (table 2) showed the median OS for patients with monosomy 17 was NYR, while it was 105.7 months for patients with deletion, and 86.5 months for those with relative loss. Median PFS was 43.3 months for the monosomy group, 32.8 months for deletion group, and NYR for relative loss. Conclusions Our experience shows that MM patients with del(17p)/-17 appear to have deeper responses and improved outcomes with more aggressive tandem transplantation. However, approximately 1/3 of our patients intended for tandem transplant did not undergo a second transplant, identifying a focus of future investigation and optimization. Our analysis also suggests that clone size of del(17p) >60% does impact OS negatively, but improved with tandem transplantation. The type of deletion also appears to affect outcomes with deletion having worse PFS but not worse OS. Figure 1 Figure 1. Disclosures Prica: Astra-Zeneca: Honoraria; Kite Gilead: Honoraria. Reece: Takeda: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria; Millennium: Research Funding; Sanofi: Honoraria; BMS: Honoraria, Research Funding; Karyopharm: Consultancy, Research Funding; GSK: Honoraria. Trudel: Amgen: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; GlaxoSmithKline: Consultancy, Honoraria, Research Funding; BMS/Celgene: Consultancy, Honoraria, Research Funding; Genentech: Research Funding; Roche: Consultancy; Sanofi: Honoraria; Pfizer: Honoraria, Research Funding. Chen: Beigene: Membership on an entity's Board of Directors or advisory committees; Astrazeneca: Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy.

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)0,002
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 seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
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 savante0,0000,000
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 Opus0,009
Tête enseignante GPT0,261
Écart entre enseignants0,252 · 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

Citations3
Publié2021
Routes d'admission1
Résumé présentoui

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