Measurable Residual Disease and Peripheral Residual Disease to Assess Treatment Response in Real-World Patients with Newly Diagnosed Multiple Myeloma
Notice bibliographique
Résumé
Introduction: The utility of mass spec to identify the M-protein in serum (the so called peripheral residual disease [PRD]) is being actively investigated in patients (pts) with multiple myeloma (MM) enrolled in clinical trials. However, data regarding its value in real life are scarce. Also, despite its recent acceptance as an early endpoint for accelerated drug approval in MM, very few studies have reported about measurable disease (MRD) in the marrow of pts obtained as part of the routine practice. In this study we have analyzed PRD and MRD in parallel in a cohort of newly diagnosed MM (NDMM) pts treated as per the routine clinical practice, comparing the results of both of them and its respective clinical value. Methods: A total of 160 paired serum and bone marrow samples obtained from 88 NDMM pts from the Department of Clinical Therapeutics, Athens, Greece were analyzed. MRD was assessed in bone marrow using Next Generation Flow, using the Euroflow protocol (sensitivity 2x10-6). PRD was analyzed in serum with Quantitative Immunoprecipitation Mass Spec using anti IgG/A/M, total κ and total λ beads and the EXENT® system. Both MRD and PRD were evaluated while on maintenance or during continuous treatment, depending if the patient underwent or not a previous autologous stem cell transplantation (ASCT). SPEP/IFE were carried out as per the center's protocols. Results: Pts were diagnosed between November 2015 and May 2022, half of them were male and the median age at diagnosis was 59 years (16 were 66 and older). The isotype of the M-protein was G/A/D/light chain/non secretory in 44/22/2/16/4 cases (57% kappa, 43% lambda) and ISS and R-ISS distribution (I/II/III) was 53/31/16 and 42/42/16, respectively. Based upon eligibility, 64 pts received induction (triplets in 42, quadruplets in 22), HDM with ASCT, consolidation and lenalidomide-based maintenance and 24 pts received continuous treatment (doublets in 2, triplets in 17 and quadruplets in 5 cases), in both groups until disease progression. At the time of disease evaluation, 12.5% (19/151) samples were IFE+, 19% (30/161) PRD+ and 26% (41/160) MRD+. Comparing IFE vs PRD, 80% of the results were concordant (125/155) and 20% (30/155) discordant: 12 IFE+/MS- and 18 IFE-/MS+. Whereas the IFE status did not discriminate two groups with different progression-free survival (PFS), both PRD and MRD were able to do so as follows: PRD: HR: 6.49 (95% CI, 1.7-23.7), p=0.004 vs MRD: HR: 9.08 (95% CI, 2.8-28.9), p=0.0002). At a median follow up of 26.8 months, the progression rates for PRD and MRD+ pts were 23.3% vs 24.3%. Indeed, comparing PRD vs MRD, 84.38% of the results were concordant (135/160) and 15.63% (25/160) discordant: 18/160 NGF+/MS- and 7/160 NGF-/MS+. Taking the results of NGF as a reference, the negative and positive predictive values of PRD were 86% and 77%, respectively. Interestingly, among the samples classified as achieving ≥CR according to IMWG criteria, both PRD and MRD further stratified pts with significantly different outcomes (PRD: HR: 7.46 (95%CI 1.31-42.45), p=0.0235 vs MRD: HR: 8.28 (95%CI 1.91-35.73), p=0.0047). Conclusions: This study reproduces in real life NDMM pts the results previously obtained about PRD and MRD assessment in clinical trials. PRD and MRD can stratify pts treated as part of the routine practice, not only in the global cohort but also in otherwise IFE negative cases. The comparable prognostic value of PRD and MRD underscores the usefulness of the non-invasive EXENT® system, although further validation in a larger group of real-world pts including more pts and samples is warranted.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
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 ».