ReviewJournal of hematology & oncology2025
Circulating tumor DNA in lymphoma: technologies and applications.
Review in Journal of hematology & oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Trial
- Second primary cancers following hematologic malignancies: Epidemiology, pathobiology and clinical management.Human vaccines & immunotherapeutics · 2026Review
- Analysis of cell-free DNA in lymphomas: from sample collection to genotyping and minimal residual disease monitoring.Blood advances · 2026Review
- Experiences and coping strategies of time toxicity in young and middle-aged patients with lymphoma: a descriptive qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Minimal Residual Disease as a Biological Trait: Rethinking Disease Persistence in Hematologic Malignancies.European journal of haematology · 2026Review
- Sensitivity of circulating tumor DNA in advanced mycosis fungoides: A retrospective case series.JAAD international · 2026Article
- Circulating Tumor DNA as a Biomarker of Treatment Response and Minimal Residual Disease in Diffuse Large B-Cell Lymphoma: A Literature Review.Journal of clinical medicine · 2026Review
- Precision Medicine in Non-Hodgkin Lymphoma: Advances in BTK Inhibition, CD30-Directed Antibody-Drug Conjugates, and HDAC-Mediated Epigenetic Therapy with Pirtobrutinib, Brentuximab Vedotin, and Belinostat.Journal of clinical medicine · 2026Review
- Review
- Beyond PD-1: Mechanisms of Resistance to Checkpoint Blockade in Classical Hodgkin Lymphoma and Next-Generation Immune Strategies.European journal of haematology · 2026Review
- Dual-utility ctDNA in diffuse large B-cell lymphoma: integrated genotyping unveils minimal residual disease dynamics and subtype-specific clonal evolution.BMC medicine · 2026Article
- Review
- Multimodal data fusion: integrating PET/MRI and liquid biopsy for a holistic view of cancer biology.Frontiers in oncology · 2026Review
- Evolution of therapeutic paradigms in Hodgkin lymphoma: from "cure-oriented" to "functional cure".Frontiers in oncology · 2026Review
- Feasibility of IG and TCR rearrangements quantification in ctDNA for monitoring clinical response in pediatric lymphomas.Frontiers in genetics · 2026Article
- Artificial intelligence for rapid on-site evaluation of lymph node fine-needle aspiration: improving diagnostic efficiency and accuracy.Frontiers in medicine · 2026Article
- Integrative modeling of longitudinal cell-free DNA and tumor volume dynamics: a multimodal quantitative prognostic framework.Translational lung cancer research · 2025Article
- Defining and Addressing the Current Unmet Medical Needs for the Frontline Treatment of Advanced Stage Aggressive Large B-Cell Lymphoma: A Perspective From an Ad Hoc Panel of Italian Experts.Hematological oncology · 2025Review
- Spatial omics technology potentially promotes the progress of tumor immunotherapy.British journal of cancer · 2025Review
- Angioimmunoblastic T-cell lymphoma: a concise overview encompassing the pathogenetic, pathological, clinical, therapeutical characteristics, and recent advances.Clinical and experimental medicine · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Lymphoma, a malignant tumor derived from lymphocytes and lymphoid tissues, presents with complex and heterogeneous clinical manifestations, requiring accurate patient classification for appropriate treatment. While invasive pathological examination of lymph nodes or lymphoid tissue remains the gold standard for lymphoma diagnosis, its utility is limited in cases of deep-seated tumors such as intraperitoneal and central nervous system lymphomas. In addition, biopsy procedures carry an inherent risk of complications. Computed tomography (CT) and positron emission tomography/computed tomography (PET/CT) imaging are essential for treatment assessment and monitoring, but lack the ability to detect early clonal evolution and minimal residual disease (MRD). Liquid biopsy-based analysis of circulating tumor DNA (ctDNA) offers a non-invasive alternative that allows for repeated sampling and overcomes the limitations of spatial heterogeneity and invasive biopsies. ctDNA provides genetic and epigenetic insights into lymphoma and serves as a dynamic, quantifiable biomarker for diagnosis, risk stratification, and treatment response. This review comprehensively summarizes common genetic variations in lymphoma and systematically evaluates ctDNA detection technologies, including PCR-based assays and next-generation sequencing (NGS). Applications of ctDNA detection in noninvasive genotyping, risk stratification, therapeutic response monitoring, and MRD detection are discussed across various lymphoma subtypes, including diffuse large B-cell lymphoma, Hodgkin lymphoma, follicular lymphoma, and T-cell lymphoma. By integrating recent research findings, the review highlights the role of ctDNA profiling in advancing precision medicine, enabling personalized therapeutic strategies, and improving clinical outcomes in lymphoma.
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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.