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Enregistrement W2618328561 · doi:10.1182/blood.v128.22.4497.4497

Pomalidomide + Low-Dose Dexamethasone Following Second-Line Lenalidomide-Based Therapy in Relapsed or Refractory Multiple Myeloma: A Phase 2 Study Investigating Efficacy and Safety

2016· article· en· W2618328561 sur OpenAlexaff
David S. Siegel, Gary J. Schiller, Kevin Song, Richy Agajanian, Keith Stockerl‐Goldstein, Hakan Kaya, Michaël Sébag, Fred Reu, Ehsan Malek, Jorge Mouro, Weiyuan Chung, Shankar Srinivasan, Max Qian, Syed Rizvi, Anjan Thakurta, Nizar J. Bahlis

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensUniversity of CalgaryMcGill University Health CentreLeukemia & Lymphoma Society of CanadaUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésPomalidomideMedicineLenalidomideProgressive diseaseInternal medicineRegimenMultiple myelomaNeutropeniaPopulationPhases of clinical researchClinical endpointDexamethasoneOncologySurgeryGastroenterologyClinical trialChemotherapy

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Pomalidomide (POM) in combination with low-dose dexamethasone (LoDEX) is approved for the treatment (Tx) of patients (pts) with multiple myeloma (MM) who have had ≥ 2 prior lines of therapy, including lenalidomide (LEN) and a proteasome inhibitor. Although LEN and POM are both IMiD® immunomodulatory agents, preclinical studies have shown that LEN is not cross-resistant with POM (Ocio et al, Leukemia, 2015) and that LEN-resistant myeloma cells remain sensitive to POM (Lopez-Girona et al, Leukemia, 2012). Furthermore, sub-analyses of the MM-002 and MM-003 trials demonstrated that POM + LoDEX had comparable efficacy in pts refractory to their last prior Tx with LEN as in the overall pt population (San Miguel et al, Lancet Oncol, 2013; Richardson et al, Blood, 2014). Here, we present an updated analysis of MM-014, a single-arm, phase 2 trial of POM + LoDEX in pts with MM relapsed or refractory to LEN-based second-line therapy. Methods: Pts were ≥ 18 years old with a documented diagnosis of MM, measurable disease, 2 prior lines of Tx, and progressive disease after ≥ 2 cycles of second-line Tx with a LEN-based therapy. The Tx regimen was POM 4 mg/day on days 1-21 and LoDEX 40 mg/day (20 mg/day for pts > 75 years old) on days 1, 8, 15, and 22 of a 28-day cycle; thromboprophylaxis was mandatory. Responses were assessed using modified International Myeloma Working Group criteria. The primary endpoint was overall response rate (ORR; ≥ partial response [PR]). Secondary endpoints included time to response (TTR), duration of response (DOR), time to progression (TTP), progression-free survival (PFS), and overall survival (OS). Secondary primary malignancies (SPMs) were monitored and recorded as serious AEs regardless of relationship to Tx. Exploratory endpoints included measures to identify potential molecular, immune, and cellular biomarkers for POM + LoDEX response, resistance, or mechanism of action. Results: Of 51 enrolled pts (N = 85 planned), 16 (31.4%) remain on Tx, and 35 (68.6%) discontinued from Tx (n = 20 due to PD, n = 7 due to withdrawal by pt, and n = 2 each due to adverse event [AE], death, lack of efficacy, and other reasons). The median age was 68.0 years, and most pts (92.2%) had an Eastern Cooperative Oncology Group performance status of ≤ 1; 34 pts (66.7%) were refractory to their last Tx with LEN, and 37 (72.5%), 2 (3.9%), and 1 (2.0%) pts had prior Tx with bortezomib, carfilzomib, or ixazomib, respectively. A total of 33 pts (64.7%) had prior stem cell transplant. The median duration of the most recent prior LEN-containing Tx was 24.6 months, and the median study follow-up time was 11.4 months. The ORR was 31.4%, including 3.9% (n = 2) with complete response, 5.9% (n = 3) with very good PR, and 21.6% (n = 11) with PR. The clinical benefit rate (≥ minimal response) was 41.2%. Of the 16 pts who achieved ≥ PR, 12 (75.0%) have an ongoing response; median TTR in these pts was 1.9 months. The median DOR based on Kaplan-Meier estimates was not reached. The 1-year PFS, OS, and TTP rates were 60.2%, 87.4%, and 64.6%, respectively. Common (≥ 5%) grade 3/4 AEs included anemia (23.5%), neutropenia (13.7%), thrombocytopenia (9.8%), fatigue (7.8%), and infections (19.6%; including pneumonia [7.8%]). AEs of special interest (any grade) included pulmonary embolism (3.9%), deep vein thrombosis (2.0%), and peripheral sensory neuropathy (3.9%); no SPMs were observed. The immune subset analysis showed a significantly elevated proportion of CD3+/CD8+ T cells after Tx (cycle 3, 5, day 1) compared with baseline (37.6% vs 30.5% of total lymphocytes; P < .01). A similar trend toward elevated proportions of CD3+ T cells (73.7% vs 66.6%) was observed; however, the difference was not significant. There was no significant change in CD3+/CD4+ T cells (35.9% vs 35.5%). Conclusions: This updated analysis of the MM-014 trial demonstrates the safety and efficacy of POM + LoDEX in pts who were relapsed or refractory to their last prior Tx with LEN. Results suggest that POM + LoDEX can be used immediately following LEN-based therapy to treat pts with relapsed/refractory MM. The study has been amended to include a cohort of pts treated with POM + LoDEX + daratumumab. Investigations of additional biomarkers, high-risk genetic aberrations, clonal evolution, and minimal residual disease in MM-014 are currently underway. Disclosures Siegel: Novartis: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau; BMS: Honoraria, Speakers Bureau; Takeda: Honoraria, Speakers Bureau; Merck: Honoraria. Schiller:Incyte Corporation: Research Funding. Song:Otsuka: Honoraria; Celgene: Honoraria, Research Funding; Janssen: Honoraria. Kaya:Celgene, Amgen, Takeda: Honoraria. Sebag:Janssen: Honoraria; Celgene: Honoraria; Novartis: Honoraria. Reu:Celgene, Novartis and Takeda: Research Funding; Signal Genetics, Inc.: Consultancy. Mouro:Celgene: Employment, Equity Ownership. Chung:Celgene: Employment. Srinivasan:Celgene: Employment; Individual Patent: Patents & Royalties: US7,495,673B1 Used for MM-Connect Treatment Patterns Abstract.. Qian:Celgene: Employment. Rizvi:Celgene: Employment, Equity Ownership. Thakurta:Celgene: Employment, Equity Ownership. Bahlis:Celgene: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau; BMS: Honoraria; Onyx: Consultancy, Honoraria.

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)0,002
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: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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.

Tête enseignante Opus0,052
Tête enseignante GPT0,343
Écart entre enseignants0,291 · 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'étudeEssai non randomisé
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

Citations2
Publié2016
Routes d'admission1
Résumé présentoui

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