Multiclonality In Multiple Myeloma: A Retrospective Analysis Of Clonal Progression and Selection
Notice bibliographique
Résumé
Abstract Introduction Genomic instability and multiclonality is the hallmark of many cancers including multiple myeloma (MM). Genetic alterations and clonal prominence occur over time as patients undergo various treatment modalities and can be followed by examining factors such as copy number abnormalities. Occasionally more than one monoclonal spike is noted on the serum protein electrophoresis (SPEP) indicating the existence of several distinct populations of clonal plasma cells producing a measurable amount of monoclonal (M) protein. Using routinely measureable clinical assays, SPEP and serum free light chains (SFL), we set out to identify the prevalence of multiclonality in patients with plasma cell dyscrasia, and to examine the natural history and effect treatment practices have on clones over time. Methods We retrospectively identified adult patients who were registered with the London Regional Cancer Program (LRCP), a tertiary care referral center in London, Ontario, Canada, since 2000 with a diagnosis of monoclonal gammopathy of uncertain significance (MGUS), smoldering myeloma, multiple myeloma or solitary plasmacytoma. Our current SPEP quantitation method has been in use since September 2004, so these SPEP results of patients identified from our initial search were examined for evidence of multiple monoclonal peaks as a surrogate marker for multiclonality. Inclusion criteria required a new diagnosis of plasma cell dyscrasia since the year 2000 and biclonal/multiclonal M protein peaks on SPEP followed through the LRCP. Demographics, SPEP results, treatment modalities and last recorded follow up or death for these patients was recorded. Outcome measures included quantification of complete remission, partial remission, very good partial remission and no response following systemic therapy to look for concordance in clone response. Results Since 2000, 1402 patients met the inclusion criteria; 144 patients met our surrogate criteria for multiclonality, representing a prevalence of approximately 10%. The majority of patients had MGUS (58, 40.3%) or MM (70, 48.6%) at first identification. Of these patients, 96 (66.7%) were male and the average age at diagnosis was 65.9 years. 58 (40.3%), primarily with MGUS, had no treatment and thus cannot be examined for treatment selective pressures. The number of clones identified ranged from two (114, 79.2%) to five. 62 (43.1%) had clones that were of similar immunoglobulin and light chain subtype, and half of patients had multiple clones identified at the same time point compared with development of clones during follow up investigations. In order to examine for concordance in treatment response between clones, we required that clones have a pre- and post- treatment value and have received systemic therapy with a measurable nadir. Only 26 patients had values that met these criteria, mainly due to clones disappearing with time, including 7 patients with no treatment, or oral treatment without recurrence and thus not quantifiable for comparison. Of these 26, approximately half showed discordance between clones, even in those with clones of the same M protein subtype. Of note, 4 discordant patients initially showed the same response to treatment and later developed divergent responses. Discussion Multiclonality in plasma cell neoplasms is a common occurrence, with a prevalence of 10% in our patient population. The use of SPEP and SFL as surrogate markers for multiclonality likely underestimates the true prevalence of multiple clones measured by genetic methods due to insensitivity to resolved non secretory clones or multiple clones secreting similar immunoglobulin. As seen in previous studies, our results demonstrate that plasma cell clone response can diverge over time, potentially spontaneously or as a result of selection pressures imposed by therapy. These findings may help direct therapy and suggests prognosis as clonal divergence could herald genetic changes associated with therapy resistant disease. Disclosures: No relevant conflicts of interest to declare.
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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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| 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 ».