MétaCan
Menu
← Retour à la cohorte
Enregistrement W2560219832 · doi:10.1182/blood.v118.21.3983.3983

Central Nervous System (CNS) Involvement with Multiple Myeloma (MM) – Longterm Survival Can Be Achieved with Radiation, Intrathecal (IT) Chemotherapy, and Immunomodulatory Agents (IMiDs),

2011· article· en· W2560219832 sur OpenAlexaff
Christine Chen, Ahmed Rabea, Esther Masih‐Khan, Chia‐Min Chu, Vishal Kukreti, Suzanne Trudel, Rodger E. Tiedemann, Donna Reece

Notice bibliographique

RevueBlood · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicinePomalidomideMultiple myelomaInternal medicineBortezomibDiseaseOncologySurgeryGastroenterology

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 3983 Introduction: CNS involvement with MM is uncommon, estimated at 1% of patients (pts)(Fassas 2002). CNS myeloma has a reportedly dismal prognosis with median survival of only 2 months (mos) from CNS diagnosis (Nieuwenhuizen 2007). These data derive primarily from small case reports predating the use of novel agents such as the IMiDs and bortezomib. We reviewed our institutional experience with 37 CNS myeloma pts, many treated with novel agents, specifically aiming to identify longterm survivors and their disease/treatment characteristics. Methods: From 1999 to 2010, all pts with CNS MM identified by CSF plasmacytosis and/or leptomeningeal/dural disease on imaging at our institution were reviewed. Pt demographics, disease characteristics, treatments, and survival were retrospectively reviewed from charts, pharmacy records, and a myeloma database. Survival was calculated from time of CNS disease to progression (time to progression; TTP) or death (overall survival; OS). Survival analyses were performed using the Kaplan Meier method (SPSS v17.0). Results: Patient and disease characteristics:Of 758 pts diagnosed with MM at our institution over the 20 year period, 37 pts developed CNS disease (incidence 4.9%). Median age of the 37 CNS pts was 54 years (range 36–70), 51% male. A predominance of light chain subtype was noted: light chains only 32%, IgG 30%, IgA 24%, other 13%. CNS involvement was present at MM diagnosis in 9 pts (24%); at relapse in 28 pts (76%). In the relapsed pts, median number of prior therapies was 2(1–5). Median time from MM diagnosis to CNS presentation was 19.1 mos (range 4.4 weeks–11 years). Cranial nerve involvement (diplopia, facial numbness, visual blurring) was present in 24 of 37 pts (65%). Other common symptoms were headache, cognitive impairment, seizures. Fifteen pts (40%) had plasma cell leukemia (PCL) at CNS presentation. Symptomatic involvement of the orbits (11 pts; 30%) and spinal dura/epidura (17 pts; 46%) was common. Plasmacytomas of the skull adjacent to dura were seen in 65% of cases, suggesting contiguous spread. Leptomeningeal/dural enhancement or thickening on MRI was visualized in 54%, whereas parenchymal brain involvement was rare (5%). CSF plasmacytosis was reported in 24 of 34 pts tested (70%). Treatment and survival: Most pts (30/37 pts; 81%) received intrathecal (IT) chemotherapy (hydrocortisone, methotrexate, and/or cytarabine) with rapid clearance of plasma cells from CSF. Radiation was administered in 28 pts (10 craniospinal, 8 cranial only, 8 spinal only). Ten pts (30%) presented with localized CNS disease and did not require immediate systemic therapy. Various systemic therapies were used: IMiDs 16(43%), cisplatin-based (DPACE) 9(24%), bortezomib 7(19%), alkylators 5(13%), dexamethasone (DEX) alone 4(10.8%), autotransplant 1(2.7%). Consistent with the literature, median TTP from onset of CNS disease for all pts was short at 3.1 mos (95% CI 8.2–18.9). At median follow-up of 24.2 mos, median OS from CNS disease was only 4.3 mos (95% CI 3.1–5.5). However, 7 pts had prolonged survival after onset of CNS disease: 13.2, 16.1, 17.1, 34.3, 35.6, and 69.5 mos. There were no uniform laboratory or clinical features to these 7 longterm survivors. Although 2 of these pts had stable systemic disease at time of CNS onset, 3 had PCL, 5 had aggressive bone/soft tissue plasmacytomas. Three longterm survivors presented with CNS disease at time of MM diagnosis, 4 at relapse. Though all 7 underwent radiation, 6 of 7 pts received repeated IT chemotherapy (4 received maintenance IT chemotherapy every 1–2 mos), and 5 of 7 pts received thalidomide as TD (thalidomide, DEX), CTD (cyclophosphamide, thalidomide, DEX) or DTPACE (DEX, thalidomide, cisplatin, adriamycin, cyclophosphamide, etoposide). Conclusion: Although CNS disease is considered an aggressive complication of MM, in our review of 37 pts, one of the largest single-institution reports of CNS myeloma in the literature, clinical presentation and outcomes are heterogeneous. The high rate of PCL and skull-based plasmacytomas suggest that both hematogenous and contiguous spread from bone can occur. With our experience, longterm survival can be achieved with cranial/spinal irradiation, multi-dosing IT chemotherapy, and oral thalidomide, previously reported to cross the blood-brain barrier. This triple modality approach, using DPACE with or without thalidomide, is being further evaluated at our institution. Disclosures: Chen: Celgene: Consultancy, Honoraria, Research Funding. Kukreti:Celgene: Honoraria. Reece:Bristol, Meyers, Squibb: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Johnson&Johnson: Research Funding; Merck: Honoraria, Research Funding; Otsuka: Honoraria, Research Funding; Millennium: Research Funding; Amgen: 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)0,000
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 enseignants0,002
Score d'incertitude au seuil0,006

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)0,0020,000

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 Opus0,028
Tête enseignante GPT0,239
Écart entre enseignants0,211 · 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

Citations1
Publié2011
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetMultiple Myeloma Research and Treatments→Travaux en français237 207→