ReviewMini reviews in medicinal chemistry2026
Advances in Biomarkers for CAR-T Treatment Resistance in Diffuse Large B-Cell Lymphoma.
Review in Mini reviews in medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chimeric antigen receptor (CAR)-T cell therapy has made significant progress in treating hematologic tumors, particularly diffuse large B-cell lymphoma (DLBCL). However, over 50% of patients are resistant after CAR-T cell therapy for DLBCL, and drug resistance is gradually becoming a major obstacle limiting its efficacy. This review primarily focuses on the mechanisms of resistance to CAR-T cell therapies, including immune escape of tumor cells, CAR-T cell dysfunction, and the tumor microenvironment (TME). It explores potential predictive markers of resistance in the context of relevant resistance mechanisms, such as tumor cell surface antigens, CAR-T cell function, and gene mutation-related substances within the tumor microenvironment. The exploration of these potential predictive markers yields some relevant insights for future studies on resistance to CAR-T in the treatment of DLBCL.
Indexed as
Identifiers
42163764What OpenQuestion holds
Registered trials
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.