Patient-derived organoids (PDOs) are valuable in predicting response to cancer therapy. PDOs are ideal models for precision oncologists. However, their practical application in guiding timely clinical decisions remains challenging. This study focused on patients with advanced EGFR-mutated non-small cell lung cancer and employed a cancer organoid-based diagnosis reactivity prediction (CODRP)-based precision oncology platform to assess the efficacy of EGFR inhibitor treatments. CODRP was employed to evaluate EGFR-tyrosine kinase inhibitors (TKI) drug sensitivity. The results were compared to those obtained using area under the curve index. This study validated this index by testing lung cancer-derived organoids in 14 patients with lung cancer. The CODRP index-based drug sensitivity test reliably classified patient responses to EGFR-TKI treatment within a clinically suitable 10-day timeline, which aligned with clinical drug treatment responses. This approach is promising for predicting and analyzing the efficacy of anticancer, ultimately contributing to the development of a precision medicine platform.
To evaluate the CBPexo molecules involved, five proteins, GAL-3, GAL-7, HSP-72, PIP, and S100-A7, were selected through proteomic analysis, and their functions were investigated using an artificial exosome that expresses these proteins.
Artificial antigen-presenting cells (aAPCs) that stably express particular HLA and co-stimulatory molecules by gene transfer have been developed to effectively stimulate T cells. To investigate whether cytochalsin-B-induced membrane vesicles derived from aAPCs (AP-CIMVs) have similar antigen-presenting functions as a cell-free system, T cell responses to different types of antigen presentation were measured using Jurkat reporter cells. First, the aggregation of AP-CIMV, which affects the measurement of function, was inhibited by nuclease treatment to produce uniform AP-CIMVs. The Green fluorescent protein (GFP) expression in Jurkat reporter cells was induced in a dose-dependent manner in groups stimulated with anti-CD3 antibody-coated AP-CIMVs and aAPCs, and anti-CD3/CD28 Dynabead. When Jurkat reporter cells expressing specific T cell receptors were stimulated by AP-CIMVs and aAPCs loaded with CMV pp65 peptide, AP-CIMVs showed similar stimulatory effects to that by aAPC. However, when these Jurkat reporter cells were stimulated by aAPCs endogenously expressing CMV pp65 antigen and their AP-CIMVs, the GFP expression rate by AP-CIMVs was 8.4%, which was significantly lower than 53.2% by aAPCs. Although this study showed a limited T-cell-stimulating effect of AP-CIMVs on endogenously processed antigen presentation, these results provide useful information for the development of improved cell-free systems for T cell stimulation in the future.
Background: Antibodies against non-HLA antigens, such as MICA and MICB, have emerged as potential contributors to antibody-mediated rejection and graft failure. While MICA antibodies are well characterized, MICB-specific antibodies remain poorly understood due to the lack of standardized detection tools. To address this gap, we aimed to develop a cell-based platform expressing individual MICB antigens to evaluate the feasibility of detecting allele-specific anti-MICB antibodies in pre-kidney transplant sera. Methods: HLA class I, MICA, and MICB-null human embryonic kidney (HEK)-293T cells were previously generated by CRISPR/Cas9. We established five cell lines expressing single MICB antigens (each MICB*002, *003, *004, *005:02, and *008 allele). A total of 64 pre-kidney transplant sera were tested to assess anti-MICB antibody responses to the five cell lines using flow cytometry. Results: We successfully established and validated five HEK-293T cell lines each expressing a single MICB antigen using anti-MICB monoclonal antibody staining. No anti-MICB antibodies were detected in any of the 64 pre-transplant sera tested. This finding may reflect a low incidence of sensitization to MICB in this patient population and suggests the need for larger, more diverse cohorts in future studies to fully assess the prevalence of anti-MICB responses. The established cell lines provide a promising tool for future investigation of allele-specific anti-MICB antibody responses. Conclusions: While the present study did not detect allele-specific anti-MICB antibody responses, establishing HEK-293T cell lines expressing single MICB antigens represents a significant methodological advance. This platform enables the potential assessment of immune responses targeted to individual MICB allotypes, thus offering new avenues for the future study of MICB immunogenicity in transplantation settings.