ReviewLeukemia & lymphoma2024
Challenges identifying DLBCL patients with poor outcomes to upfront chemoimmunotherapy and its impact on frontline clinical trials.
Review in Leukemia & lymphoma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Baseline Lactate Dehydrogenase Predicts Early Treatment Failure in Diffuse Large B-Cell Lymphoma Treated With R-CHOP: A Real-World Cohort Study.Journal of clinical medicine research · 2026Article
- Co-expression of CCR7 and H3K9me3 identifies aggressive B-cell lymphoma with bone marrow infiltration and poor prognosis.European cytokine network · 2026Article
- Prognostic Value of the CALLY Index in Diffuse Large B-Cell Lymphoma: Linking Inflammation, Nutrition, and Tumor Biology.Cancers · 2026Article
- A novel prognostic model integrating host vulnerability and tumor biology for elderly patients with diffuse large B-cell lymphoma: the BAMAL score.Frontiers in oncology · 2026Article
- The prognostic and clinical utility of circulating tumor DNA in diffuse large B-cell lymphoma: a systematic review and meta-analysis.NPJ precision oncology · 2025Review
- A Real-World Data-Based Analysis of Prognostic Indices as Part of Trial Eligibility Criteria in Diffuse Large B-Cell Lymphoma Patients.European journal of haematology · 2025Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Diffuse large B cell lymphoma (DLBCL) has a variable course of disease among patients as it consists of subgroups that are clinically, biologically and molecularly heterogeneous. In this review, we will discuss how this heterogeneity has likely hindered the ability of traditional prognostic models to identify DLBCL patients at high risk of having poor outcomes with conventional upfront chemoimmunotherapy. We will highlight the challenges and downsides of using these models for risk stratification in clinical trials. Also, we present some of the novel prognosticators that have shown a prognostic value independently or when incorporated into existing prognostic models. Additionally, since the failure of frontline clinical trials to improve outcomes beyond R-CHOP chemoimmunotherapy may be at least partially explained by the restrictive eligibility criteria, risk stratification methods and the selection bias encountered due to the complexed logistics of clinical trials; we will discuss strategies to refine and modernize clinical trial design.
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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.