Effects of teclistamab and talquetamab on soluble BCMA levels in patients with relapsed/refractory multiple myeloma.
Suzette GirgisShun Xin Wang LinKodandaram PillarisettiRaluca VeronaDiego VieyraTineke CasneufDamien FinkXin MiaoYang ChenTara StephensonArnob BanerjeeBrandi W HilderJeffery RussellJeffrey Roger InfanteYusri A ElsayedJennifer SmitJenna D GoldbergPublished in: Blood advances (2022)
B-cell maturation antigen (BCMA) is selectively expressed as a surface protein on plasma cells and is a validated target for multiple myeloma (MM). A soluble form of BCMA (sBCMA) is elevated in the sera of patients with MM. The bispecific antibodies teclistamab (BCMA×CD3) and talquetamab (G protein-coupled receptor family C group 5 member D [GPRC5D]×CD3) are in clinical development as therapies for MM. Using data from patients with relapsed/refractory MM (N=300) who participated in phase 1 studies of teclistamab (NCT03145181) or talquetamab (NCT03399799), baseline serum sBCMA levels were quantitatively analyzed relative to response to treatment, percentage of bone marrow plasma cells (BMPCs), and cytogenetic risk. By cycle 3 day 1 of treatment, sBCMA levels declined from baseline in 50 (88%) of 57 responders and 49 (98%) of 50 responders to teclistamab and talquetamab, respectively. Depth of response correlated with the magnitude of sBCMA reduction. In contrast, sBCMA increased in 33 (80%) of 41 patients and 24 (49%) of 49 patients who did not respond to teclistamab or talquetamab, respectively. Baseline sBCMA levels correlated with the percentage of BMPC; patients with extramedullary plasmacytomas who had low levels of BMPC (≤10%) tended to have high baseline sBCMA levels (≥400 ng/mL), based on limited data. Baseline sBCMA levels and changes in sBCMA levels at cycle 3 day 1 were similar in patients with high- and standard-risk cytogenetics treated with teclistamab or talquetamab. These results support the use of sBCMA as a potential surrogate marker of tumor burden and treatment response in MM.
Keyphrases
- multiple myeloma
- bone marrow
- induced apoptosis
- acute lymphoblastic leukemia
- acute myeloid leukemia
- end stage renal disease
- computed tomography
- chronic kidney disease
- ejection fraction
- mesenchymal stem cells
- big data
- electronic health record
- diffuse large b cell lymphoma
- newly diagnosed
- oxidative stress
- hodgkin lymphoma
- machine learning
- climate change
- endoplasmic reticulum stress
- cell cycle arrest
- optical coherence tomography
- artificial intelligence
- combination therapy
- data analysis
- patient reported