ReviewCancers2024
Circulating Tumor DNA as a Complementary Prognostic Biomarker during CAR-T Therapy in B-Cell Non-Hodgkin Lymphomas.
Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Minimal Residual Disease as a Biological Trait: Rethinking Disease Persistence in Hematologic Malignancies.European journal of haematology · 2026Review
- Rewriting CAR-T cell fate: CRISPR/Cas gene editing for solid tumor therapy.Frontiers in immunology · 2026Review
- CAR T-cell therapy induced pseudoprogression.Frontiers in immunology · 2026Review
- Diffuse large B-cell lymphoma in the new era: prognostic tools for mapping risk.Annals of hematology · 2025Review
- Monitoring and Assessment of Circulating Tumor DNA in Cancers Using Ultrarapid Sensitivity as an Innovative Practice.Health science reports · 2025Article
- Review
- Sequential anlotinib and camrelizumab combination therapy achieves exceptional survival in multi-driver mutated, TMB-low/PD-L1-low/MSS pulmonary sarcomatoid carcinoma: case report and literature review.Frontiers in immunology · 2025Review
- Measurable Residual Disease Testing in Multiple Myeloma Following T-Cell Redirecting Therapies.Cancers · 2024Review
- Advancements in Personalized CAR-T Therapy: Comprehensive Overview of Biomarkers and Therapeutic Targets in Hematological Malignancies.International journal of molecular sciences · 2024Review
- Autologous stem cell transplantation meets CAR-T therapy: A synergistic strategy for B-cell lymphoma.Cell transplantationReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence of CD19-directed chimeric antigen receptor T-cell (CAR-T) therapy has revolutionized the treatment paradigm for R/R B-cell NHLs. However, challenges persist in accurately evaluating treatment response and detecting early relapse, necessitating the exploration of novel biomarkers. Circulating tumor DNA (ctDNA) via liquid biopsy is a non-invasive tool for monitoring therapy efficacy and predicting treatment outcomes in B-NHL following CAR-T therapy. By overcoming the limitations of conventional imaging modalities, ctDNA assessments offer valuable insights into response dynamics, molecular mechanisms of resistance, and early detection of molecular relapse. Integration of ctDNA monitoring into clinical practice holds promise for personalized therapeutic strategies, guiding the development of novel targeted therapies, and enhancing patient outcomes. However, standardization of assay methodologies and consensus on clinical response metrics are imperative to unlock the full potential of ctDNA in the management of B-NHL. Prospective validation of ctDNA in clinical trials is necessary to establish its role as a complementary decision aid.
Indexed as
Identifiers
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.