Citations

The 2025 Annual Congress of the International Liver Transplantation Society (ILTS), themed “ Advancing Liver Transplantation: Embracing Innovation for the Future ,” was held from May 28 to 31 in Singapore. The meeting offered a comprehensive scientific program, featuring 92 sessions and 7 pre-congress workshops spanning living donor liver transplantation, advanced surgery, anesthesia and critical care, transplant oncology and immunology, basic science, pediatrics, and more. The program emphasized collaboration and innovation to advance patient outcomes in liver transplantation. In this report, the ILTS Vanguard Committee summarizes the key proceedings of the congress.

Abstract Background Ten years after the original publication, the Centiloid framework is now broadly used to harmonize amyloid‐PET quantification, facilitate data sharing and comparison across cohorts, and even assist visual interpretation in clinical settings. We evaluated the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds across cohorts. Methods We gathered data from publicly available cohorts and reached out to investigators across the world to collect cross‐sectional Centiloids, demographic and clinical information, and visual read data. Gaussian mixture models (GMM, k=2) were fitted to Centiloid values for each cohort and cutoffs were calculated as mean + 2SD of the lower Gaussian. When visual reads were available, we determined Centiloid cutoffs that maximized correspondence with visual reads (Cohen’s kappa). Data was combined across cohorts using random effects meta‐analyses. Results As of January 2025, we included 37 cohorts ( n = 41,678 participants) with heterogeneous pipelines, radiotracers, and clinical and demographic characteristics (Table‐1). The low Gaussian peaks ranged from ‐9 to 10CL; the meta‐analysis identified a common peak at 1CL. The second peaks were more heterogeneous (range=38‐102CL; meta‐analysis outcome=64CL). Across cohorts, the proportion of cognitively unimpaired versus impaired participants impacted the position of both peaks, with better separation in cohorts enriched in impaired individuals (Figure‐1C). The meta‐analysis indicated a GMM‐based cutoff of 19CL (95%CI: 16‐21CL, Figure‐1B); subgroup analyses showed no evidence of significant effect between single versus multicenter settings (17 versus 20CL, p = 0.30), MRI‐based or PET‐only processing (18 versus 19CL, p = 0.88), and no evidence of difference across radiotracers (Flutemetamol: 16CL; PIB: 17CL, Flutafuranol: 18CL, Florbetaben: 19CL, Florbetapir: 20CL, p = 0.78). In a subset of 29,496 participants with visual reads available, binary visual reads corresponded well to Centiloids (common kappa=0.86, Figure‐2A). The visual read‐based cutoff of 24CL (95%CI: 21‐27CL, Figure‐2B) maximized correspondence between visual read and quantification and was slightly higher than the GMM‐based cutoff. All meta‐analysis models showed high non‐random heterogeneity (I 2 >80%) across studies, suggesting non‐random differences in peaks and cutoffs. Conclusions Meta‐analysis‐based cutoffs align well with thresholds from the existing literature. High heterogeneity among studies underscores the need to investigate contributing factors, raising concerns about applying common cutoffs.

Abstract Background The Joint Propagation Model (JPM)‐based CenTauR scale was recently introduced to harmonize tau‐PET quantification across different radiotracers. This study examined how CenTauR harmonization enhances the comparability of tau‐PET quantification across matched cohorts using different tracers. The evaluation focused on three key aspects: (1) comparing tau‐PET positivity rates as defined by CenTauR, (2) evaluating its diagnostic accuracy for symptomatic AD, and (3) analyzing longitudinal changes in tau‐PET rates over time. Method The JPM, developed by the CPAD‐led Tau PET Harmonization Working Group (Leuzy et al., Alzheimers Dement. 2024; Figure 1A), models relationships between anchor point subjects and head‐to‐head tau‐PET SUVR data onto the CenTauR scale, providing conversion equations for multiple tracers. JPM equations were applied to [¹⁸F]flortaucipir SUVR (Meta‐temporal ROI) data from 561 cognitively impaired participants in the ADNI and OASIS‐3 studies. Using ROC analysis, we determined the CenTauR cut‐off for positivity (T+) that maximized the Youden index for discriminating between FDA‐approved positive/negative visual reads. Three separate cohorts, scanned using [¹⁸F]flortaucipir (ADNI), [¹⁸F]MK‐6240 (CPAS), and [¹⁸F]RO‐948 (BioFINDER‐2), were matched 1:1 by age, MMSE, amyloid‐β, and clinical diagnosis. CenTauR‐based metrics were compared across these cohorts. Result A cut‐off of 18 CenTauRs was found to optimally classify [ 18 F]flortaucipir PET visual reads (Figure 1B). The matching procedure identified 1089 participants (363 per cohort). The frequency of T+ using the 18 CenTauRs cut‐off for the Meta‐Temporal ROI was highly comparable across tracers across groups, except for the Aβ‐positive cognitively unimpaired group, where variability was more pronounced due to a smaller sample size (Figure 2A). Similarly, tau‐PET discriminative accuracy for symptomatic AD vs controls remained similar across [ 18 F]flortaucipir and [ 18 F]MK‐6240 (Figure 2B). In a separate sample of 212 matched participants from ADNI ([¹⁸F]flortaucipir) and AIBL ([¹⁸F]MK‐6240) with baseline and 1‐year follow‐up tau‐PET scans, 1‐year change in CenTauRs was comparable (Figure 2C). An exploratory voxelwise transformation, utilizing the Meta‐Temporal conversion equation in a representative case scanned with both [¹⁸F]flortaucipir and [¹⁸F]MK‐6240, demonstrates the potential for voxelwise CenTauR harmonization (Figure 3). Conclusion These analyses suggest that CenTauR harmonization increases the comparability of tau‐PET data acquired with different tracers. Additional validation analyses with larger cohorts including other radiotracers ([¹⁸F]PI‐2620) are underway.

Abstract PAX5 is genetically altered in over 30% of B-ALL cases, with point mutations representing the second most common type of alteration. These point mutations are highly enriched in the DNA binding (paired) domain and have been recognized as founder events in PAX5 P80R and PAX5alt B-ALL subtypes, which account for over 12% of B-ALL. However, the molecular features and underlying mechanisms of these mutations in B-ALL remain largely undefined, limiting the development of targeted therapies and resulting in poor outcomes, especially in adult patients. We systematically investigated the functional roles and oncogenic mechanisms of PAX5 paired domain mutations. Integrated CRISPR screening and genomic profiling revealed that the paired domain is critical for PAX5 function. Disruptions in this region significantly reduced cell viability in B-ALL cell lines, and analysis of 2,955 B-ALL samples showed that recurrent PAX5 missense mutations are highly enriched in this domain, further underscoring its functional importance. Functional analysis of knock-in mice with PAX5 mutations revealed that R38H and R140L severely impair DNA binding and block B-cell differentiation, while P34L and P80R retain binding ability but alter binding specificity and gene regulation. Mice carrying homozygous (P34L, R38H, P80R, R140L) or heterozygous (R38H, P80R) mutations developed spontaneous B-ALL within one year. To model co-occurring mutations observed in patients, Pax5 R38H/P34L and R38H/R140L mice were generated. These compound mutations exhibited greater leukemogenic potential than single mutants. Transcriptomic analysis of leukemia samples showed consistent up-regulation of metabolic pathways and Myc target genes. Notably, biallelic PAX5 alterations and additional genetic lesions in signaling pathways were detected in all PAX5R38H/+ and PAX5P80R/+ leukemias, faithfully recapitulating the genetic alteration features of patient B-ALL driven by PAX5 mutations. Among Pax5-mutant mouse strains, Pax5P80R/+ mice develop B-ALL with short latency and complete penetrance, making them an ideal model to study the mutational evolution and leukemogenesis of B-ALL. To characterize the stepwise leukemogenesis process, we performed serial bone marrow aspirations in the same Pax5P80R/+ mice. In all 17 mice analyzed, we identified early preleukemic clones with only Pax5 WT deletions, followed by the emergence of leukemic clones harboring Jak1/3 mutations. Single-cell RNA/BCR-seq revealed that Pax5 WT allele deletions relieve metabolic constraints, thereby promoting clonal expansion of preleukemic B cells blocked at the pre-B stage. These changes coincide with downregulation of metabolic checkpoint genes and upregulation of glycolytic enzymes, promoting genetic instability and facilitating malignant transformation. Clinically, PAX5 P80R patients have better outcomes than PAX5alt cases. Using our mouse models, we observed that leukemic cells driven by the PAX5 P80R mutation exhibit greater sensitivity to dexamethasone compared to the ones carrying other PAX5 mutations in PAX5alt subtype, potentially due to their heightened dependence on glucose uptake and glycolysis, suggesting that metabolic rewiring driven by PAX5 mutants may influence therapeutic response. Interestingly, we found that an aberrant isoform of MEGF10 (aMEGF10) is highly and specifically expressed in PAX5 P80R B-ALL. This N-terminal truncated isoform encodes a protein that retains the intracellular immunoreceptor tyrosine-based activation motifs (ITAMs). Using CUT&Tag, we showed that PAX5 P80R directly binds to the aMEGF10 promoter. By engineering human CD34⁺ cells, we established a humanized PAX5 P80R leukemia model that recapitulates the gene expression profile of patient samples, including robust activation of aMEGF10. Functionally, aMEGF10 binds to and activates SYK, thereby promoting leukemic cell proliferation. Importantly, this oncogenic effect depends on intact ITAM motifs and SYK signaling, revealing a novel targetable vulnerability in PAX5 P80R leukemias. Overall, the study establishes that PAX5 DNA binding domain mutations contribute to leukemogenesis through stepwise loss of PAX5 WT alleles and acquisition of signaling pathway mutations, involving impaired differentiation, metabolic deregulation, and novel oncogene activation. These findings not only deepen the understanding of PAX5-driven leukemias but also highlight aMEGF10–SYK signaling as a promising therapeutic target.

Abstract Description Therapies targeting the PD-1/PD-L1 axis are among the leading treatments of cancer, but only a minority of patients benefit. Many therapies focus on preventing PD-L1 from binding to its receptor, PD-1, but do not address PD-L1’s ability to be recycled to the cell surface and any intrinsic functions it may possess. Our lab has developed an antibody (H1A) that binds to PD-L1 and prevents its association with a stabilizing protein, CMTM6, therefore targeting it for lysosomal degradation. Consequently, H1A limits any PD-L1 intrinsic function while also decreasing interactions with PD-1. Here, we use human-derived immune cells to test H1A’s effect on immune responses through flow cytometry, multiplex screening, and cytotoxicity assays. Additionally, we have developed a humanized PD-1/PD-L1 mouse model that allows us to test H1A’s effect on tumor growth inhibition in an immunocompetent host. Our results show that H1A specifically targets human myeloid cells, resulting in increased co-stimulation, antigen presentation, and cytokine secretion. H1A demonstrated enhanced T cell cytotoxicity in a whole PBMC culture. Finally, H1A resulted in greater tumor growth inhibition and survival in our in vivo tumor models. This work highlights the importance of targeting beyond PD-1/PD-L1 ligation and that myeloid cells are instrumental to enhancing the immune response against cancer. H1A is emerging as a new immunotherapy tool to target PD-L1 and CMTM6 in myeloid cells for treatment of cancers. Funding Sources NIH R01 92389022; NIH T32 AI170478; Mayo Clinic Graduate School of Biomedical Sciences Topic Categories Tumor Immunology: Cellular Responses and Tumor Microevironment (TIME)

Abstract Description A durable T cell immunity against cancer is dependent on a continually refilling of effector CD8+ T cells. Thymic output has been correlated with favorable prognosis in cancer patients of advanced ages, suggesting thymus is an important source for refilling T cells that are capable of controlling cancer progression in the periphery. However, it remains unclear how PD-1 signals regulate the cytotoxic potential of CD8+ T cells in thymus before they egress to the periphery to establish durable anti-tumor immunity. Here we report PD-1 signaling prelimits thymic single positive (SP) CD8+ T cells to acquire cytotoxic potential by downregulating Gzmb and Nkg7, which are required for CD8+ T cell-mediated cytotoxicity. Unexpectedly, we found the absence of Pdcd1 also led to upregulation of Tox and Tim3 in thymic SP CD8+ T cells, thereby pre-programming these cells for exhaustion within the tumor. Thus, the absence of PD-1 signals in CD8+ T cells only partially delayed tumor growth in peripheral tissues. To improve therapeutic effects of PD-1 inhibition, we observed that tumor growth in CD8-specific Pdcd1 conditional knockout mice was further suppressed by treatment with a PD-L1 antibody that blocks PD-L1 and CD80 interaction. Our results imply that PD-1 inhibition promotes the expansion of effector cytotoxic CD8+ T cells but also retains T cell exhaustion potential, which can be mitigated by PD-L1 blockade that allows more CD80 to provide costimulatory signals to T cells via CD28. Funding Sources NCI R01CA256927 NCI R01CA261932 NCI P30CA15083 Topic Categories Tumor Immunology: Cellular Responses and Tumor Microevironment (TIME)

Abstract Description The efficacy of ICI and T cell-based therapies is dependent on sufficient killing of tumor cells by T cells. Thus, it’s critical for effector T cells to maintain their function and overcome metabolic stress within the tumor microenvironment. Our previous work in human resilient CD8+ T cells identified malic enzyme 1 (ME1) as a key enzyme that augments effector CD8+ T cells’ metabolic and functional fitness via increased ATP production and curbed ROS production. To further study ME1’s role in promoting CD8+ T cell resilience in vivo, we produced CD8-specific ME1 conditional knockout and transgenic (ME1 Tg) mouse models. In MC38, ME1 was upregulated in CD8+ T cells in TILs compared to those in spleen and ME1 loss in CD8+ T cells abrogated tumor responses to ICI. In ME1 Tg mice, MC38 had reduced tumor growth, while B16F10 tumors were sensitized to ICI. We observed lower ROS and increased lipid content in CD8+ T cells in the TILs of ME1 Tg mice, underscoring ME1’s role in activating alternative metabolic pathways to fuel mitochondrial respiration while keeping ROS in check. The association of ME1 with 6PGD, a key enzyme in the pentose phosphate pathway (PPP), implies its regulation of redox homeostasis in CD8+ T cells. Importantly, ME1 overexpression in TILs dramatically improved the efficacy of TIL therapy in treatment of established tumors. Overall, ME1 upholds T cell resilience in tumor tissues and provides a new therapeutic target to improve the efficacy of TIL therapy. Funding Sources This work was supported by the Mayo Clinic Center for Biomedical Discovery (to H.D.); the Mayo Clinic Cancer Center’s David F. and Margaret T. Grohne Cancer Immunology and Immunotherapy program (to H.D.); R01 AI095239 (to H.D.), R01 CA200551 (to H.D. and S.S.P.), and R01 CA256927 (to H.D.). Topic Categories Tumor Immunology: Checkpoints, Prevention, and Treatment (TIPT)

Abstract Aims Activating transcription factor 4 (ATF4) functions as a transcriptional regulator in various cell types and tissues under both physiological and pathological conditions. While previous studies have linked ATF4 activation with promoting cardiomyocyte (CM) death in dilated cardiomyopathy (DCM), atrial fibrillation, and heart failure, its role in developing CMs remains unexplored. Methods and results We generated multiple distinct CM-specific (Atf4cKO(e2/3/pA) and Atf4cKO(e2)) and global Atf4 knockout (KO; Atf47del/7del and Atf41ins/1ins) mouse models targeting different Atf4 regions, as well as CM-specific deletion of Rps19bp1 to study cardiac phenotypes. Detailed morphological and molecular analyses were performed. Atf4cKO(e2/3/pA) [targeting exon 2–3 including the polyadenylation signal (polyA)] mice exhibited severe cardiac defects and died before E17.5, likely due to ectopic activation of the p53 signaling pathway resulting from Rps19bp1 downregulation, a potent suppressor of p53. Further investigation revealed that deleting the polyA signal of Atf4 in Atf4cKO(e2/3/pA) mice led to transcriptional readthrough, resulting in the formation of an Atf4-Cacna1i fusion transcript and Rps19bp1 downregulation. To avoid readthrough while abolishing ATF4 function, we introduced small indels into exon 3 of Atf4 in mice (Atf47del/7del and Atf41ins/1ins), which showed normal Rps19bp1 expression and cardiac morphology. Importantly, CM-specific deletion of Rps19bp1 recapitulated the cardiac defects and transcriptional change seen in Atf4cKO(e2/3/pA) mice. Conclusion We found that the downregulation of Rps19bp1, not the loss of ATF4 function, underlies the cardiac phenotypes in Atf4cKO(e2/3/pA) mice. The reduced expression of Rps19bp1 in Atf4cKO(e2/3/pA) mice is likely due to the unintentional deletion of Atf4 polyA signal and subsequent transcriptional readthrough, underscoring the essential role of RPS19BP1, not ATF4, in cardiac development. Consistent Rps19bp1 downregulation has been observed in other tissue-specific Atf4 KO models utilizing the Atf4fl(e2/3/pA) allele, suggesting that previously reported Atf4 KO phenotypes may result from Atf4 transcriptional readthrough effects. These findings reveal a locus-dependent transcriptional interference mechanism and emphasize the importance of avoiding confounding cis effects in genetically engineered models.

Background Immune checkpoint therapies targeting programmed cell death protein 1 (PD-1) and programmed death ligand 1 (PD-L1) have been met with limited clinical responses in the treatment of patients of varying cancer types. Current US Food and Drug Administration (FDA)-approved therapies function to prevent PD-1 binding to PD-L1, thereby preventing T-cell suppression. However, these therapies fail to prevent PD-L1 intrinsic signaling and recycling, which can render these treatments ineffective. Moreover, most research primarily focuses on how these antibodies affect tumor cells and their interactions with T cells. Myeloid cells, which also express PD-L1 and influence T-cell responses, are integral to the efficacy of these therapies. However, strategies that can target these cells to boost antitumor responses have not been effective. Methods Our group has developed a new anti-PD-L1 antibody (H1A), which disrupts PD-L1 recycling and redirects it towards degradation. Due to the loss of available PD-L1 protein, H1A effectively prevents PD-L1 intrinsic signaling. Using in vivo humanized PD-1/PD-L1 mouse tumor models, we evaluated the therapeutic efficacy of H1A against current FDA-approved PD-L1 blocking antibodies. Using human-derived immune cell in vitro assays, we pinpoint the biological consequences of H1A-induced PD-L1 degradation in myeloid cells. Results H1A demonstrated improved tumor control and established immunological memory responses in vivo in the treatment of tumors with moderate immunogenicity that are less responsive to current immunotherapies. This was supported by enhanced activation of myeloid cells (major histocompatibility complex (MHC)-II and CD80) and frequencies of effector T-cell populations found intratumorally. Human myeloid cells treated with H1A were also observed to have increased activation (MHC-II and CD80) and cytokine secretion. Similar to our in vivo findings, human peripheral blood lymphocyte cultures demonstrated increased frequencies of effector T-cell populations and greater tumor cell killing. Conclusions This work highlights the importance of targeting PD-L1 recycling and intrinsic signaling, specifically in myeloid cells, to boost antitumor responses. Our studies suggest that H1A can provide a solution to the lack of responses seen with current therapeutics, while also revealing previously unknown intrinsic functions of PD-L1 in myeloid cells.