Chen, Fangping

Abstract Background Despite CD19-directed chimeric antigen receptor T (CAR-T) therapy achieving remarkable remission rates in relapsed/refractory B-cell acute lymphoblastic leukemia (R/R B-ALL), long-term survival remains constrained by T-cell exhaustion and immunosuppressive microenvironments. Dasatinib, a tyrosine kinase inhibitor (TKI), has been shown to alleviate T cell exhaustion and enhance CAR-T cell persistence, demonstrating therapeutic synergy in newly diagnosed ALL. However, it may also suppress CAR-T cytotoxicity and is ineffective against BCR-ABLT315I mutations. Third-generation TKIs, including ponatinib and olverembatinib, effectively overcome T315I-mediated resistance, yet their impact on CAR-T cell function and immune modulation remains insufficiently defined. Methods and Results: We first established in vitro co-culture models of CD19 CAR-T cells with the B-ALL cell line NALM6 to evaluate the effects of dasatinib, ponatinib and olverembatinib on resting and tumor antigen-activated CAR-T cells. At clinically relevant concentrations, none of the TKIs affected resting CAR-T viability. In contrast, upon activation, all three TKIs significantly inhibited CAR-T activation, cytotoxicity, and cytokine secretion (IL-2, TNF-α, IFN-γ), while reducing activation-induced CAR-T cell apoptosis. TKIs treatment also downregulated exhaustion markers (eg. PD-1, TIM3, LAG3) and promoted differentiation toward naïve (TN) and central memory (TCM) subsets, while reducing terminal effector T cells. After the drug elution, CAR-T cells regained their cytolytic function in response to tumor targets. Notably, ponatinib-treated CAR-T cells exhibited higher levels of IFN-γ, TNF-α and IL-2 post-washout compared to other groups. Importantly, the TN/TCM phenotype and low exhaustion marker expression were preserved after washout in all TKI-treated groups. Transcriptomic profiling of CAR-T cells in vitro revealed that all three TKIs downregulated key exhaustion-associated genes, including PDCD1, HAVCR2, CTLA4 and NR4A1, along with upregulation of stemness- and memory-associated genes (eg. CCR7, TCF7, LEF1, IL7R). Gene set enrichment analysis showed inhibition of T-cell activation, apoptosis, glycolysis, and TGF-β signaling by all TKIs. Remarkably, ponatinib uniquely activated the IFN-γ pathway, suggesting superior immunostimulatory effects. Mechanistically, all three TKIs suppressed the phosphorylation of AKT, p38 MAPK, and NF-κB p65, indicating shared inhibition of downstream TCR signaling. Based on these findings, we evaluated ponatinib in a clinical setting. A prospective study (No. ChiCTR2000036350) enrolled three R/R B-ALL patients with the BCR-ABLT315I mutation. All the patients received CD19 CAR-T cell therapy followed by ponatinib maintenance, initiated two months post-infusion. All three patients remained progression-free during ponatinib maintenance. Notably, the DNA copies of CAR-T cells remained detectable at months 5 and 9 after ponatinib treatment in two patients, respectively. To further explore the in vivo effects of ponatinib on T cells and other immune cells,peripheral blood mononuclear cells were collected from these patients before and one month after ponatinib initiation for single-cell RNA sequencing. Ponatinib exposure led to an increased proportion of CD8+T cells and a decreased abundance of myeloid cells subsets. Within T cells, effector cells expanded while Tregs and exhausted T cells decreased. Differential gene analysis showed suppression of activation, adhesion, apoptosis, and PD-1/PD-L1 signaling, aligning with in vitro results. Functional scoring revealed enhanced cytotoxicity, IFN-γ responses, and reduced glycolysis, exhaustion, TGF-β, and Treg signatures. Furthermore, analysis of NK cell subsets showed enhanced cytolytic scores and enrichment of proliferation and immune activation pathways, suggesting that ponatinib preserves innate immune responses in vivo. Conclusions: This study provides preclinical and preliminary clinical evidence that third-generation TKIs, particularly ponatinib, can effectively alleviate CAR-T cell exhaustion, promote memory phenotypes, and remodel the immune microenvironment. Compared to dasatinib and olverembatinib, ponatinib uniquely enhances effector cytokine production and activates the IFN-γ pathway. These findings support ponatinib as a promising combinatorial agent with CAR-T therapy, offering a rational strategy for improving outcomes in patients with T315I-mutated R/R B-ALL.

Abstract Introduction Venetoclax combined with hypomethylating agents (VEN/HMA) is an approved frontline induction therapy for older or unfit patients with acute myeloid leukemia (AML). However, data comparing its efficacy and safety to intensive chemotherapy (IC) in intermediate-risk AML—characterized by molecular and cytogenetic heterogeneity—remain limited. Methods This multicenter, real-world retrospective study analyzed newly diagnosed intermediate-risk AML patients who received either VEN/HMA or IC. We evaluated composite complete remission (CRc) rates, transfusion and infection rates, long-term outcomes including overall survival (OS) and progression-free survival (PFS), and performed subgroup analyses to identify mutation-specific predictors of treatment response. Multivariable Cox regression was used to identify independent prognostic factors. Results A total of 229 intermediate-risk AML patients were included. VEN/HMA achieved a comparable CRc rate to IC (75.3% vs. 63.4%) with lower transfusion needs and fewer infections. Patients harboring FLT3-ITD, DNMT3A, or TET2 mutations showed greater benefit from VEN/HMA, while KIT-mutated patients responded more favorably to IC. Among patients who did not undergo allo-HSCT, VEN/HMA significantly improved 3-year OS (P = 0.001) and PFS (P = 0.008). No significant OS or PFS difference was observed in the allo-HSCT subgroup. In MRD-negative patients without transplant, those treated with VEN/HMA had superior OS compared to IC. Multivariable analysis identified VEN/HMA (HR = 0.613, P = 0.038) and allo-HSCT (HR = 0.11, P = 0.001) as independent predictors of better survival. Conclusions VEN/HMA is a safe and effective induction strategy for intermediate-risk AML, particularly in patients with BCL-2 inhibitor–sensitive mutations (FLT3-ITD, DNMT3A, TET2). These findings support a genotype-guided treatment approach in AML, complementing current risk stratification frameworks and informing individualized induction therapy decisions.

Conventional therapies to multiple myeloma (MM) are not aimed at specific molecular targets leading ultimately to treatment resistance. Recent reports have shown that iron is instrumental in cancer development and progression and that high intracellular iron levels are associated with poor prognosis. We have demonstrated that MM cells exhibit dysregulated iron homeostasis and that limitation of cytosolic iron inhibits MM cell growth both in vitro and in vivo. The potential therapeutic role of iron should be further investigated to better understand how targeting high-iron MM cells could prevent or delay MM development and recurrence. Our study will provide crucial insights into the iron biology of MM pathogenesis and may lead to novel MM therapy. In this study, two mouse models, young Vk*MYC and old KaLwRij mice, were injected with iron dextran (1.25 mg/kg, IP, once a week). Tumor burden was monitored by serial Serum Protein Electrophoresis (SPEP) tests, flow cytometry, and immunohistochemistry. In vitro co-culturing of ARP1 MM cells with macrophages was employed to determine iron transfer. To determine iron's roles in MM evolution, we injected iron dextran into Vk*MYC mice at 8-week age. Vk*MYC mice develop MGUS around 40-50 weeks with plasma cell (PC) bone marrow infiltration and kidney damage etc. Iron-dextran was used because it is primarily taken up by macrophages. After 14-16 weeks of iron injection, M spike was detected in the injected Vk*MYC mice. The percentage of bone marrow plasma cells (CD138+) were significantly increased to 9% in the Vk*MYC mice injected with iron compared to control mice injected with vehicle by flow cytometry and immunohistochemistry. The acceleration of disease progression via iron injection was also tested in KaLwRij mice, which also spontaneously develops MGUS in old age. M protein was detected in 12 of 15 mice (80%) injected with iron dextran for 10 weeks and 1 of 5 KaLwRij (20%) control mice at 18-months of age. CD138+ B220- plasma cells were determined by flow cytometry. A significant increase of CD138+B220- plasma cells in iron treated mice (4% versus 2%) was observed compared to vehicle control mice. Deparaffined sections of bone marrow from the above mice were stained with Prussian blue and confirmed positive staining of macrophages from iron administrated mice. These results indicate that iron accelerates MGUS development in vivo. We next evaluated whether MM cells accumulate iron from the microenvironment. ARP1 MM cells were co-cultured with primary macrophages derived from mouse bone marrow to mimic disease environment in vitro. Under these conditions, MM cells induced macrophage polarization from M0 to M1 and M2. Furthermore, increased macrophage polarization was confirmed in vivo from the KaLwRij mice injected with 5TGM1 MM cells. To confirm that MM cells uptake iron from macrophages, increased intracellular ferritin levels were observed by western blot in ARP1 MM cells following co-culture with iron-loaded macrophages. We observed that this increase in intracellular ferritin was mediated via the transferrin receptor. This iron mobilization was prevented by iron chelation. Additionally, we confirmed that ferritin levels were higher in CD138+ primary human MM cells compared to CD138- non-MM cells by western blot. Our data indicate that MM cells promote macrophage polarization resulting in the transferring of iron into MM cells. The blockade of iron trafficking between MM cells and macrophages might hold a promise for the prevention and therapy in MM. Disclosures Bergsagel: Celgene: Consultancy; Ionis Pharmaceuticals: Consultancy; Janssen Pharmaceuticals: Consultancy. Zhan:BIPHARM LLC: Consultancy, Other: % Allocation of Profit.