ReviewGenes & diseases2027
A panoramic study of circulating tumor DNA in diffuse large B-cell lymphoma.
Review in Genes & diseases, 2027. 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.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a frequently encountered aggressive form of non-Hodgkin's lymphoma, characterized by significant clinical and molecular heterogeneity. Owing to inherent limitations of traditional treatments for DLBCL, the advent of circulating tumor DNA (ctDNA) detection, coupled with the integration of multi-omics technologies, has brought about substantial advancements in the diagnosis and treatment of this disease. This review elaborates on the evolution of ctDNA detection and multi-omics integration, its applications in early diagnosis, prognostic model construction, and treatment decision-making, as well as drug resistance mechanisms, highlighting that ctDNA is a powerful tool but faces technical, biological, and clinical implementation barriers that need to be overcome for wider clinical use.
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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.