Meng Lv, Hongli Zheng, Xuying Pei, Lei Lei, Wenbo Chen, Yutong Bao, Yiyang Ding, Zhengli Xu, Lijuan Hu, Zhe Wan, Xueqiang Zhao, Zhixiao Zhou, Xin Lin, Xiaojun Huang, Jiasheng Wang, Xiangyu Zhao
5 min
Acute myeloid leukemia (AML) remains difficult to treat due to the lack of highly specific tumor antigens and a suppressive bone marrow microenvironment. This study investigates whether targeting LILRB4—a receptor highly expressed on monocytic AML blasts but largely absent on normal hematopoietic stem cells—using a novel synthetic T-cell receptor and antigen receptor (STAR-T) platform can provide a safe and effective therapeutic option for relapsed/refractory (R/R) AML.
The researchers developed a dual-epitope STAR-T cell therapy (DE STAR-T) by fusing two high-affinity nanobodies targeting distinct LILRB4 epitopes to the constant regions of the T-cell receptor. They compared the efficacy of these DE STAR-T cells against single-epitope STAR-T cells and conventional CAR-T cells in vitro and in vivo. Following preclinical validation, they conducted a first-in-human phase I clinical trial (NCT05548088) in nine patients with LILRB4-positive R/R AML, using single-cell RNA sequencing to analyze mechanisms of response and treatment failure.
Preclinical results showed that DE STAR-T cells exhibited superior cytotoxicity, cytokine production, and tumor control compared to monovalent STAR-T or dual-epitope CAR-T cells, particularly against tumor cells with low LILRB4 expression. In the clinical trial, the therapy demonstrated an overall response rate (ORR) of 50% in the efficacy-evaluable set. While no severe cytokine release syndrome (CRS) or neurotoxicity (ICANS) was observed, all patients experienced grade 3 or higher adverse events, primarily pancytopenia and severe infections, which led to three deaths. Single-cell analysis suggested that monocyte-mediated suppression of autologous T-cell function is a primary driver of treatment failure in nonresponders.
This study provides proof-of-concept for LILRB4 as a viable target for AML immunotherapy. By utilizing the STAR-T platform, which mimics native TCR signaling, the researchers achieved potent antitumor effects even against low-antigen-expressing leukemia cells. While the safety profile—specifically the high rate of severe infections—necessitates caution and improved supportive care, the clinical responses observed in heavily pretreated patients suggest that this approach could be a transformative strategy for monocytic AML.
Acute myeloid leukemia (AML) is a rapidly progressive malignancy with poor prognosis. To date, chimeric antigen receptor (CAR) T-cell therapy in AML has been limited by the lack of antigens with high specificity for AML cells. Here, we developed a synthetic T-cell receptor and antigen receptor-T (STAR-T) cell therapy targeting LILRB4, an immunosuppressive receptor highly expressed on monocytic AML blasts but not on hematopoietic stem cells. Two nanobodies with the highest affinity for LILRB4 were identified through phage display library screening and used to construct nanobody-based dual epitope anti-LILRB4 STAR-T cells, which exhibit more potent tumor inhibition in vitro and in vivo than single epitope anti-LILRB4 STAR-T cells or dual epitope anti-LILRB4 CAR-T cells do. We subsequently conducted the first human clinical trial (NCT05548088) involving 9 patients with LILRB4-positive relapsed and refractory (R/R) AML. Six patients completed the safety and efficacy evaluation (median follow-up, 10.7 months). No immune effector cell-associated neurotoxicity (ICANS) or grade ≥3 cytokine release syndrome (CRS) was observed. Three patients died due to laboratory-confirmed infections. The best overall response rate (ORR) was 50.0% (3/6) in the efficacy assessable set and 33.3% in the full analysis set. The number of LILRB4-positive STAR-T cells significantly increased, and the number of LILRB4-positive target cells decreased. Single-cell RNA sequencing revealed that monocyte-mediated suppression of autologous T-cell function may be a primary mechanism underlying the failure of STAR-T therapy in nonresponders. In conclusion, this first-in-human trial demonstrates the therapeutic potential of targeting LILRB4 with STAR-T-cell therapy in AML and warrants further investigation.
Alex: Correlated is the operative word. With three patients per arm, this is hypothesis generation, not a mechanism demonstrated by perturbation.
Sam: That's a fair reading, and the authors describe the study as exploratory. The data suggest that the dual-epitope design addresses antigen density but not what the marrow does to the T cells afterward. Even a sensitive receptor may not help if the cells are dysfunctional before they can kill. So the question shifts from whether the product kills to why it stops killing.
Alex: Which implies the receptor isn't the ceiling so much as the microenvironment around it.
Sam: That's the interpretation the data support. Some responders also relapsed, so long-term persistence is unresolved. On the positive side, three patients achieved remission and some went on to successful transplants, which is a meaningful signal. But a careful referee would point to the sample size. With six evaluable patients there's no statistical power to claim efficacy. It is a signal, not a proof.
Alex: So the load-bearing evidence is the response and safety signal, read cautiously, plus the single-cell comparison that offers a explanation for the non-responders.
Sam: Yes, and the architecture is the thing the field can carry forward. Fusing dual nanobodies to the native TCR constant regions appears to get around the activation-threshold problem in low-antigen settings. Whether that yields durable remission in larger, randomized cohorts is the open question.
Alex: And the follow-up work would be about the niche as much as the receptor.
Sam: The authors point toward combining the platform with agents like venetoclax to upregulate LILRB4, along with better supportive care. They also raise off-the-shelf allogeneic T cells as a way to sidestep the functional impairment seen in these autologous products.
Alex: If you want the figures, method choices, and caveats we skipped, you can generate a deep dive of this paper. The paper has the rest either way.
Sam: Thanks for listening.