Article in Blood, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Joseph S DurginDepartment of Dermatology, University of Michigan, Ann Arbor, MI.
Shin SeoCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0009-0007-7378-8379
Shadab KazmiCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-1860-0624
Bakir ValenticCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0009-0007-5253-0010
Chloe LeffCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-9036-4099
Martina MarkovskaCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0009-0005-1246-7307
Xiaoling JinCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Feng ShenCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Abdulla BerjisCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Nandana MukherjeeCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Ashwin SannecyCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-0675-9734
Gabriela PlesaCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-4279-5943
Khatuna GabuniaCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0009-0008-1284-1268
John SchollerCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-9725-6277
Saar I GillCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Roddy S O'ConnorCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0001-5645-4544
Carl H JuneCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0003-0241-3557
Saba GhassemiCenter for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Funding
TRAINING PROGRAM IN CELL AND MOLECULAR DERMATOLOGYT32AR007197 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JAMES TILFORD ELDER, Sunny Y Wong · 1986 to 2026
$4.2M
Increasing the efficacy of non-activated CAR T cells by modulating IFN1 signalingR01CA292680 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Saba Ghassemi · 2024 to 2026
$2.9M
What fuels CAR T-cell serial killingR01CA278837 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Roderick O'Connor · 2023 to 2026
abstractChimeric antigen receptor (CAR) T-cell therapies have transformed the treatment of B-cell malignancies, yet challenges including manufacturing delays, T-cell exhaustion, and limited persistence impede broader clinical success. Here, we report the single-day production of nonactivated CAR T cells engineered to secrete interleukin-18 (IL-18), a proinflammatory cytokine that enhances T-cell function. These nonactivated CART19-IL-18 cells (IL-18-secreting anti-CD19 CAR T cells) exhibit robust antitumor efficacy across xenograft models of lymphoma, leukemia, and pancreatic cancer. IL-18 expression enhances the functional advantages of naïve-like nonactivated CAR T cells, resulting in improved persistence, metabolic fitness, and resistance to exhaustion. Single-cell transcriptomic analysis revealed upregulation of IL7R, KLF2, and MCL1, alongside suppression of inhibitory checkpoint genes such as PDCD1, TOX, and HAVCR2. Metabolomic profiling demonstrated enhanced mitochondrial bioenergetics, with increased spare respiratory capacity and accumulation of α-ketoglutarate, malate, and spermine. Functional in vitro and in vivo profiling demonstrated enhanced per-cell cytotoxicity and in vivo durability. We complemented these studies with single-cell transcriptomic and metabolomic analyses to define CAR T-cell biological states beyond what is captured by xenograft tumor clearance. This IL-18-enhanced, activation-free CAR T-cell product offers a clinically actionable platform with the potential to reduce vein-to-vein time while improving product potency and persistence, providing a rationale for clinical testing in patients with tumors refractory to standard CAR T-cell therapy.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.