# Determinants of Efficacy and Optimization of Chimeric Antigen Receptor T-Cell Therapy for Treating Multiple Myeloma: Current Status and Future Perspectives

**Authors:** Hiroshi Yasui, Noriko Doki, Wei Yan, Kohzoh Imai, Tadao Ishida

PMC · DOI: 10.3390/cells15040380 · Cells · 2026-02-23

## TL;DR

This paper reviews how factors like tumor burden and CAR T-cell quality affect treatment outcomes in multiple myeloma and suggests ways to improve therapy effectiveness.

## Contribution

The paper proposes a patient-centered framework integrating biological markers and CAR design to optimize CAR T-cell therapy outcomes in multiple myeloma.

## Key findings

- Tumor burden, antigen dynamics, and CAR T-cell functional fitness influence therapy outcomes.
- Soluble BCMA serves as a biomarker linking disease burden to treatment efficacy and safety.
- Pre-infusion disease control and bridging therapy impact CAR T-cell expansion and clinical outcomes.

## Abstract

What are the main findings?
Chimeric antigen receptor (CAR) T-cell outcomes in multiple myeloma (MM) are shaped by the biological context of the infusion delivered. This can include tumor burden, antigen dynamics, and the functional fitness of the cells themselves.Effector-to-target balance and soluble B-cell maturation antigen also serve as actionable biomarkers that link disease burden to efficacy and safety.

Chimeric antigen receptor (CAR) T-cell outcomes in multiple myeloma (MM) are shaped by the biological context of the infusion delivered. This can include tumor burden, antigen dynamics, and the functional fitness of the cells themselves.

Effector-to-target balance and soluble B-cell maturation antigen also serve as actionable biomarkers that link disease burden to efficacy and safety.

What are the implications of the main findings?
The optimization of CAR T-cell therapy requires biomarker-guided patient selection, treatment timing, and pre-infusion disease control beyond CAR construct design alone.A design-oriented, patient-centered framework may improve the durability and consistency of clinical benefits experienced from this therapy by patients with MM.

The optimization of CAR T-cell therapy requires biomarker-guided patient selection, treatment timing, and pre-infusion disease control beyond CAR construct design alone.

A design-oriented, patient-centered framework may improve the durability and consistency of clinical benefits experienced from this therapy by patients with MM.

Chimeric antigen receptor (CAR) T-cell therapy has transformed the treatment of relapsed and refractory multiple myeloma (MM), with BCMA-directed products demonstrating unprecedented response rates in heavily pretreated patients. Despite these advances, variabilities in response durability, treatment-related toxicities, and the emergence of resistance underscore the need for strategies that extend beyond CAR construct design alone. Accumulating evidence has indicated that the therapeutic outcomes of this approach are determined by a complex interplay between tumor burden, antigen dynamics, CAR T-cell functional fitness, and host immune context at the time of infusion. Effector-to-target balance and antigen load, in particular, have emerged as modifiable biological determinants of efficacy and safety, with pre-infusion disease control and response to bridging therapy exerting a profound influence on post-infusion CAR T-cell expansion, persistence, and clinical outcomes. Soluble BCMA (sBCMA) has also gained increasing attention as a practical biomarker that integrates tumor burden and antigen dynamics to facilitate the biologically informed optimization of treatment timing and patient selection. In addition to tumor- and antigen-related factors, the intrinsic properties of CAR T-cell products—including the spatial organization and clustering of CAR molecules on the T-cell surface—represent an additional layer of biological determinants that correlate with treatment responses. The quantitative functional assessment of CAR T-cell products may complement conventional clinical and tumor-based biomarkers and improve the prediction of therapeutic potency prior to infusion. This review summarizes recent advances in CAR T-cell therapy for treating MM, focusing on key mechanisms of resistance, the optimization of pre-infusion disease control, the integration of biological markers into clinical decision-making, and emerging combinations and sequential strategies. We also propose a design-oriented and patient-centered framework that integrates CAR engineering with disease biology and host immune factors to enhance the consistency, durability, and safety of CAR T-cell therapy. Such biologically guided optimization strategies will likely prove critical for fully realizing the transformative potential of CAR T-cell therapy across the evolving treatment continuum of MM.

## Linked entities

- **Proteins:** TNFRSF17 (TNF receptor superfamily member 17)
- **Diseases:** multiple myeloma (MONDO:0009693)

## Full-text entities

- **Genes:** KIR2DL3 (killer cell immunoglobulin like receptor, two Ig domains and long cytoplasmic tail 3) [NCBI Gene 3804] {aka CD158B2, CD158b, GL183, KIR-023GB, KIR-K7b, KIR-K7c}, CD28 (CD28 molecule) [NCBI Gene 940] {aka IMD123, Tp44}, GPRC5D (G protein-coupled receptor class C group 5 member D) [NCBI Gene 55507], CD38 (CD38 molecule) [NCBI Gene 952] {aka ADPRC 1, ADPRC1, cADPR1}, TNFRSF17 (TNF receptor superfamily member 17) [NCBI Gene 608] {aka BCM, BCMA, CD269, TNFRSF13A}, CXADRP1 (CXADR pseudogene 1) [NCBI Gene 653108] {aka CAR, CXADRP}
- **Diseases:** immune effector cell-associated neurotoxicity syndrome (MESH:C000722498), infection (MESH:D007239), toxicities (MESH:D064420), plasma cell malignancy (MESH:D054219), extramedullary disease (MESH:D023981), cytokine release (MESH:D000080424), MM (MESH:D009101), neurotoxicity (MESH:D020258), Tumor (MESH:D009369), graft-versus-host disease (MESH:D006086), T-cell dysfunction (MESH:C536780), injury to (MESH:D014947), Inflammatory (MESH:D007249), CRS (MESH:D003398)
- **Chemicals:** 4-1BB (-), isatuximab (MESH:C000599209), selinexor (MESH:C585161), steroid (MESH:D013256), daratumumab (MESH:C556306), cel (MESH:C054688), cyclophosphamide (MESH:D003520), E (MESH:D004540)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12939292/full.md

## References

44 references — full list in the complete paper: https://tomesphere.com/paper/PMC12939292/full.md

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Source: https://tomesphere.com/paper/PMC12939292