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1.
Blood Adv ; 8(12): 3038-3044, 2024 Jun 25.
Article in English | MEDLINE | ID: mdl-38598713

ABSTRACT

ABSTRACT: Teclistamab (Tec) is a first-in-class BCMA × CD3 bispecific T-cell engager antibody approved for treating multiple myeloma progressing after at least 4 lines of therapy. The objective of this study was to evaluate the rate of cytokine release syndrome (CRS) in patients who were treated with commercial Tec and had prior exposure to other T-cell redirection therapies. A retrospective chart review was performed to identify patients who completed the Tec step-up dosing phase between November 2022 and November 2023. Patients were divided into 2 cohorts based on prior exposure to T-cell redirection therapy (cohort 1: T-cell redirection therapy experienced; cohort 2: T-cell redirection therapy naïve). The primary objective was to compare the differences in the rates of CRS between the 2 cohorts. Univariate and multivariate logistic regression analyses were performed to assess the association between CRS rates with Tec and prior treatment with T-cell redirection therapy. A total of 72 patients were included in the analysis (27 in cohort 1 and 45 in cohort 2). The CRS rates were significantly lower in cohort 1 (37%, n = 10) compared with cohort 2 (80%, n = 36; P = .0004). Based on multivariate logistic regression analysis, patients without prior exposure to T-cell redirection therapy (cohort 2) had about a fourfold increase in the incidence of CRS (95% confidence interval, 1.40-14.90; P = .0002) with Tec. In our study, prior exposure to T-cell redirection therapy reduced the risk of CRS with Tec during the step-up dosing phase. This observation will allow for the optimization of CRS prophylactic strategies for Tec.


Subject(s)
Cytokine Release Syndrome , Multiple Myeloma , T-Lymphocytes , Humans , Multiple Myeloma/therapy , Multiple Myeloma/drug therapy , Male , Female , Middle Aged , Cytokine Release Syndrome/etiology , T-Lymphocytes/immunology , T-Lymphocytes/metabolism , Retrospective Studies , Aged , Antibodies, Bispecific/therapeutic use , B-Cell Maturation Antigen/antagonists & inhibitors
3.
Nat Commun ; 11(1): 3617, 2020 07 17.
Article in English | MEDLINE | ID: mdl-32680998

ABSTRACT

Multiple myeloma (MM) progression is characterized by the seeding of cancer cells in different anatomic sites. To characterize this evolutionary process, we interrogated, by whole genome sequencing, 25 samples collected at autopsy from 4 patients with relapsed MM and an additional set of 125 whole exomes collected from 51 patients. Mutational signatures analysis showed how cytotoxic agents introduce hundreds of unique mutations in each surviving cancer cell, detectable by bulk sequencing only in cases of clonal expansion of a single cancer cell bearing the mutational signature. Thus, a unique, single-cell genomic barcode can link chemotherapy exposure to a discrete time window in a patient's life. We leveraged this concept to show that MM systemic seeding is accelerated at relapse and appears to be driven by the survival and subsequent expansion of a single myeloma cell following treatment with high-dose melphalan therapy and autologous stem cell transplant.


Subject(s)
Antineoplastic Combined Chemotherapy Protocols/adverse effects , Clonal Evolution/drug effects , Hematopoietic Stem Cell Transplantation/adverse effects , Multiple Myeloma/pathology , Neoplasm Recurrence, Local/pathology , Antineoplastic Combined Chemotherapy Protocols/administration & dosage , Cell Survival/drug effects , Cell Survival/genetics , Disease Progression , Dose-Response Relationship, Drug , Humans , Male , Melphalan/administration & dosage , Melphalan/adverse effects , Middle Aged , Multiple Myeloma/diagnostic imaging , Multiple Myeloma/genetics , Multiple Myeloma/therapy , Mutation/drug effects , Neoplasm Invasiveness/genetics , Neoplasm Invasiveness/pathology , Neoplasm Recurrence, Local/diagnostic imaging , Neoplasm Recurrence, Local/genetics , Neoplasm Recurrence, Local/therapy , Positron Emission Tomography Computed Tomography , Single-Cell Analysis , Spatio-Temporal Analysis , Transplantation, Autologous/adverse effects , Whole Genome Sequencing
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