Absolute lymphocyte count after BCMA CAR-T therapy is a predictor of response and outcomes in relapsed multiple myeloma Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1182/bloodadvances.2023012470
B-cell maturation antigen (BCMA)–targeting chimeric antigen receptor T cells (CAR-Ts) used in multiple myeloma (MM) are rapidly becoming a mainstay in the treatment of relapsed/refractory (R/R) disease, and CAR-T expansion after infusion has been shown to inform depth and duration of response (DoR), but measuring this process remains investigational. This multicenter study describes the kinetics and prognostic impact of absolute lymphocyte count (ALC) in the first 15 days after CAR-T infusion in 156 patients with relapsed MM treated with the BCMA-targeting agents ciltacabtagene autoleucel and idecabtagene vicleucel. Patients with higher maximum ALC (ALCmax) had better depth of response, progression-free survival (PFS), and DoR. Patients with ALCmax >1.0 × 103/μL had a superior PFS (30.5 months vs 6 months; P < .001) compared with those with ≤1.0 × 103/μL, whereas patients with ALCmax ≤0.5 × 103/μL represent a high-risk group with early disease progression and short PFS (hazard ratio, 3.4; 95% confidence interval, 2-5.8; P < .001). In multivariate analysis, ALCmax >1.0 × 103/μL and nonparaskeletal extramedullary disease were the only independent predictors of PFS and DoR after accounting for international staging systemic staging, age, CAR-T product, high-risk cytogenetics, and the number of previous lines. Moreover, our flow cytometry data suggest that ALC is a surrogate for BCMA CAR-T expansion and can be used as an accessible prognostic marker. We report, to our knowledge, for the first time the association of ALC after BCMA CAR-T infusion with clinical outcomes and its utility in predicting response in patients with R/R MM.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1182/bloodadvances.2023012470
- OA Status
- gold
- Cited By
- 14
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4398197746
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4398197746Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1182/bloodadvances.2023012470Digital Object Identifier
- Title
-
Absolute lymphocyte count after BCMA CAR-T therapy is a predictor of response and outcomes in relapsed multiple myelomaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-22Full publication date if available
- Authors
-
Mateo Mejía Saldarriaga, Darren Pan, Caitlin Unkenholz, Tarek H. Mouhieddine, Juan Esteban Velez-Hernandez, Katherine Engles, Joshua Fein, Jorge Monge, Cara A. Rosenbaum, Roger Pearse, David Jayabalan, Christian Gordillo, Hei Ton Chan, Samuel Yamshon, Santiago Thibaud, Markus Y. Mapara, Giorgio Inghirami, Suzanne Lentzsch, Ran Reshef, Adriana Rossi, Samir Parekh, Sundar Jagannath, Shambavi Richard, Rubén Niesvizky, Mark BustorosList of authors in order
- Landing page
-
https://doi.org/10.1182/bloodadvances.2023012470Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1182/bloodadvances.2023012470Direct OA link when available
- Concepts
-
Multiple myeloma, Oncology, Medicine, Internal medicine, LymphocyteTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 13, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.nonparaskeletal | 165 |
| abstract_inverted_index.investigational. | 49 |
| abstract_inverted_index.progression-free | 99 |
| abstract_inverted_index.(BCMA)–targeting | 4 |
| abstract_inverted_index.relapsed/refractory | 25 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 25 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.96719645 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |