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1.
Br J Haematol ; 2024 Jul 03.
Article in English | MEDLINE | ID: mdl-38960449

ABSTRACT

Chimeric antigen receptor T cell (CAR-T) therapy has shown remarkable efficacy in treating advanced B-cell malignancies by targeting CD19, but antigen-negative relapses and immune responses triggered by murine-derived antibodies remain significant challenges, necessitating the development of novel humanized multitarget CAR-T therapies. Here, we engineered a second-generation 4-1BB-CD3ζ-based CAR construct incorporating humanized CD19 single-chain variable fragments (scFvs) and BAFFR single-variable domains on heavy chains (VHHs), also known as nanobodies. The resultant CAR-T cells, with different constructs, were functionally compared both in vitro and in vivo. We found that the optimal tandem and bicistronic (BI) structures retained respective antigen-binding abilities, and both demonstrated specific activation when stimulated with target cells. At the same time, BI CAR-T cells (BI CARs) exhibited stronger tumour-killing ability and better secretion of interleukin-2 and tumour necrosis factor-alpha than single-target CAR-T cells. Additionally, BI CARs showed less exhaustion phenotype upon repeated antigen stimulation and demonstrated more potent and persistent antitumor effects in mouse xenograft models. Overall, we developed a novel humanized CD19/BAFFR bicistronic CAR (BI CAR) based on a combination of scFv and VHH, which showed potent and sustained antitumor ability both in vitro and in vivo, including against tumours with CD19 or BAFFR deficiencies.

2.
BMC Med Genomics ; 16(1): 32, 2023 02 23.
Article in English | MEDLINE | ID: mdl-36823654

ABSTRACT

BACKGROUND: Multiple myeloma (MM) is an incurable and relapse-prone disease with apparently prognostic heterogeneity. At present, the risk stratification of myeloma is still incomplete. Pyroptosis, a type of programmed cell death, has been shown to regulate tumor growth and may have potential prognostic value. However, the role of pyroptosis-related genes (PRGs) in MM remains undetermined. The aims of this study were to identify potential prognostic biomarkers and to construct a predictive model related to PRGs. METHODS: Sequencing and clinical data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Non-negative matrix factorization (NMF) was performed to identify molecular subtype screening. LASSO regression was used to screen for prognostic markers, and then a risk score model was constructed. The Maxstat package was utilized to calculate the optimal cutoff value, according to which patients were divided into a high-risk group and a low-risk group, and the survival curves were plotted using the Kaplan-Meier (K-M) method. Nomograms and calibration curves were established using the rms package. RESULTS: A total of 33 PRGs were extracted from the TCGA database underlying which 4 MM molecular subtypes were defined. Patients in cluster 1 had poorer survival than those in cluster 2 (p = 0.035). A total of 9 PRGs were screened out as prognostic markers, and the predictive ability of the 9-gene risk score for 3-year survival was best (AUC = 0.658). Patients in the high-risk group had worse survival than those in the low-risk group (p < 0.001), which was consistent with the results verified by the GSE2658 dataset. The nomogram constructed by gender, age, International Staging System (ISS) stage, and risk score had the best prognostic predictive performance with a c-index of 0.721. CONCLUSION: Our model could enhance the predictive ability of ISS staging and give a reference for clinical decision-making. The new, prognostic, and pyroptosis-related markers screened out by us may facilitate the development of novel risk stratification for MM. CLINICAL TRIAL REGISTRATION: Not applicable.


Subject(s)
Multiple Myeloma , Humans , Multiple Myeloma/genetics , Prognosis , Pyroptosis/genetics , Apoptosis , Risk Factors
3.
Hematology ; 27(1): 977-986, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36053135

ABSTRACT

OBJECTIVES: Multiple myeloma (MM) is an incurable plasma cell malignancy associated with poor survival. Novel therapeutic drugs are urgently needed to improve MM therapy and patient outcomes. This study aimed to investigate the effect of formosanin C (FC), a Chinese medicine monomer, on MM in vitro and disclose the underlying molecular mechanism. METHODS: The effect of FC on the viability, proliferation, apoptosis, and autophagy of MM cell lines (NCI-H929 and ARP1) was studied through CCK-8, colony formation, flow cytometry, GFP-LC3, and western blotting assays, respectively. A pharmacological approach and network pharmacology technology were implemented to explore the potential mechanisms of the action of FC on MM cells. RESULTS: FC efficiently suppressed the viability and colony-forming capacity, but promoted the number of autophagic vacuoles with GFP-LC3 localization and the percentage of apoptotic cells in MM cells. Additionally, FC significantly increased the levels of the autophagy-related proteins LC3-Ⅱ and Beclin 1, as well as the apoptosis-related proteins Bax and cleaved caspase-3, but blocked the expression of the proapoptotic protein Bcl-2 in the cells; these effects were reversed by an inhibitor of autophagy, 3-methyladenine. What's more, we found that the phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling pathway was involved in the FC-mediated inhibition of MM. Pharmacological inhibition of this pathway dramatically relieved FC-triggered excessive expression of autophagy-related proteins and rescued MM cells from FC-induced apoptosis. CONCLUSION: Our findings indicate that FC exhibits an anti-MM effect by activating cell autophagy through the PI3K/AKT/mTOR signaling pathway.


Subject(s)
Multiple Myeloma , Proto-Oncogene Proteins c-akt , Apoptosis , Apoptosis Regulatory Proteins/metabolism , Autophagy , Autophagy-Related Proteins/pharmacology , Cell Line, Tumor , Diosgenin/analogs & derivatives , Humans , Multiple Myeloma/drug therapy , Phosphatidylinositol 3-Kinase/metabolism , Phosphatidylinositol 3-Kinase/pharmacology , Phosphatidylinositol 3-Kinases/metabolism , Proto-Oncogene Proteins c-akt/metabolism , Saponins , Signal Transduction , TOR Serine-Threonine Kinases/metabolism
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