ReviewThe oncologist2022
Translating the Biology of Diffuse Large B-cell Lymphoma Into Treatment.
Review in The oncologist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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
8 citing papers in PubMed.
- High-risk subgroup and associated genes identified by next generation sequencing in diffuse large B cell lymphoma.BMC cancer · 2026Article
- Clinical value of ENO2 in serum extracellular vesicles for the diagnosis and prognosis of diffuse large B-cell lymphoma patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Predictive levels of vascular endothelial growth factor (VEGF), thymidine kinase 1 (TK1) with interleukin-6 (IL-6), plasma T cells, NK cells as well as B cells in treating diffuse large B-cell lymphoma receiving rituximab.Journal of medical biochemistry · 2025Article
- LncRNA HAGLROS: A Vital Oncogenic Propellant in Various Human Cancers.Current drug targets · 2025Review
- Real-world patient characteristics, treatment patterns, and treatment outcomes of patients with diffuse large B-cell lymphoma by line of therapy.Cancer medicine · 2024Article
- Molecular assessment of intratumoral immune cell subsets and potential mechanisms of resistance to odronextamab, a CD20×CD3 bispecific antibody, in patients with relapsed/refractory B-cell non-Hodgkin lymphoma.Journal for immunotherapy of cancer · 2024Article
- Role of RNA Splicing Mutations in Diffuse Large B Cell Lymphoma.International journal of general medicine · 2023Review
- Outcomes of Autologous Hematopoietic Cell Transplantation in Older Patients with Diffuse Large B-Cell Lymphoma.Transplantation and cellular therapy · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Diffuse large B-cell lymphoma (DLBCL) is characterized by clinical and molecular heterogeneity; however, this heterogeneity is rarely taken into account by standard-of-care treatment approaches. While the disease was traditionally classified based on transcriptome signatures purporting the tumor cell of origin, recent classification systems have further differentiated these subtypes into clusters based on molecular and genetic features. Alongside a better understanding of the biology of the disease and the signaling pathways involved, emerging therapeutic agents may be better aimed at attacking distinct disease subsets. It is hoped that molecular subtyping at diagnosis will allow patients to be allocated to the appropriate treatment that targets their specific disease subtype, thus advancing the promise of precision medicine in lymphoma, an approach that is most needed. For high-risk disease subsets, this is particularly important, and much research is still needed to develop agents effective in this population. Here, we review recent advances in DLBCL biology and how they can be translated into clinical care.
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What 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.