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Kroemer, A.

Publications and source records attributed to Kroemer, A..

2 recordsLinked to original sources

Engineering CAR T Cells for Hepatocellular Carcinoma Recurrence after Liver Transplantation

Background & AimsLiver transplantation improves outcomes in hepatocellular carcinoma (HCC), yet treatment options for patients with tumor recurrence remain limited to tyrosine kinase inhibitors. Glypican-3 (GPC3)-targeted CAR T cells offer a tumor-directed immune-based therapeutic strategy, but their efficacy may be limited by post-transplant immunosuppression. We developed a CAR T cell platform combining CRISPR/Cas9-mediated FKBP1A disruption to confer resistance to FKBP12-dependent immunosuppressive agents, including tacrolimus, everolimus, and sirolimus, with TRAC knockout to eliminate endogenous T cell receptor expression and reduce alloreactivity. MethodsHuman T cells were edited using Cas9 ribonucleoprotein complexes targeting FKBP1A and TRAC, expanded, and transduced with an anti-GPC3 CAR construct. Cytokine production and cytotoxicity were assessed in vitro. Antitumor activity under tacrolimus treatment was evaluated in a Hep G2 xenograft model, and xenoreactivity was assessed in a graft-versus-host disease model. FKBP1A/TRAC double-knockout T cells were enriched using mTOR inhibitor selection combined with CD3-based MACS depletion. PBMCs from liver transplant recipients were used to evaluate feasibility for clinical translation during the early post-transplant period. ResultsTacrolimus suppressed wild-type CAR T cell function but not FKBP1A/TRAC double-knockout CAR T cells, which retained cytokine production, cytotoxicity, and in vivo antitumor activity. Cyclosporine A remained suppressive, enabling its potential use as a pharmacologic control strategy. TRAC disruption reduced xenoreactivity. CD3-based MACS depletion and mTOR inhibition achieved functional double-knockout efficiencies greater than 98%, without compromising cell viability. Functional FKBP1A/TRAC knockout CAR T cells were generated from patient PBMC samples 30 days post-transplant. ConclusionsDual-edited GPC3 CAR T cells resist tacrolimus-based immunosuppression while limiting alloreactivity, supporting their use for recurrent HCC after liver transplantation. Sequential, high-viability selection in a modular cellular engineering framework enables adaptation to alternative tumor targets and next-generation CAR T cell designs. Impact and implicationsO_LIEngineering armored GPC3-targeting CAR T cells for hepatocellular carcinoma in the post-transplant setting C_LIO_LIDemonstrating safety and therapeutic efficacy in the presence of immunosuppressive drugs in preclinical models C_LIO_LILeveraging mTOR inhibitor resistance and CD3 destabilization enables high-efficiency, high-purity selection of genetically modified T cells C_LIO_LIA modular cellular engineering platform enables utilization for alternative tumor targets and next-generation CAR T cells C_LI

immunology↗

LC-MS/MS-PRM Quantification of IgG glycoforms using stable isotope labeled IgG1 Fc glycopeptide standard

Targeted quantification of proteins is a standard methodology with broad utility, but targeted quantification of glycoproteins has not reached its full potential. The lack of optimized workflows and isotopically labeled standards limits the acceptance of glycoproteomics quantification. In this paper, we introduce an efficient and streamlined chemoenzymatic synthesis of a library of isotopically labeled glycopeptides of IgG1 which we use for quantification in an energy optimized LC-MS/MS-PRM workflow. Incorporation of the stable isotope labeled N-acetylglucosamine enables an efficient monitoring of all major fragment ions of the glycopeptides generated under the soft collision induced dissociation (CID) conditions which reduces the CVs of the quantification to 0.7-2.8%. Our results document, for the first time, that the workflow using a combination of stable isotope labeled standards with intra-scan normalization enables quantification of the glycopeptides by an electron transfer dissociation (ETD) workflow as well as the CID workflow with the highest sensitivity compared to traditional workflows., This was exemplified by a rapid quantification (13-minute) of IgG1 Fc glycoforms from COVID-19 patients. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC="FIGDIR/small/501850v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@b5b18corg.highwire.dtl.DTLVardef@9b87b9org.highwire.dtl.DTLVardef@eba7ecorg.highwire.dtl.DTLVardef@15da596_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗