ReviewCurrent opinion in hematology2022
Clinical trials for chimeric antigen receptor T-cell therapy: lessons learned and future directions.
Review in Current opinion in hematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 8 citations in OpenAlex.
- Frequently Asked Questions on Imaging in Chimeric Antigen Receptor T-Cell Therapy Clinical Trials.Korean journal of radiology · 2025Review
- CAR-T cell therapy as an approach for pediatric hematological malignancies in regenerative therapy: Current status and clinical outcomes.BioImpacts : BI · 2025Review
- Current gaps in emergency medicine core content education for oncologic emergencies: A targeted needs assessment.AEM education and training · 2024Article
- Charting new paradigms for CAR-T cell therapy beyond current Achilles heels.Frontiers in immunology · 2024Review
- CAR-T cells for pediatric malignancies: Past, present, future and nursing implications.Asia-Pacific journal of oncology nursing · 2023Review
- Unlocking therapeutic potential: integration of drug repurposing and immunotherapy for various disease targeting.American journal of translational research · 2023Review
- Immuno-cardio-oncology: Killing two birds with one stone?Frontiers in immunology · 2022Review
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 at 2 institutions in 1 country.
Funding
Abstract
purpose of reviewThe purpose of this review is to summarize the status and utilization of chimeric antigen receptor T-cell (CAR-T) therapy based on the most recent clinical trials in patients with leukemia and lymphoma. Additionally, this review will highlight limitations in current strategies, discuss efforts in toxicity mitigation, and outline future directions for investigation. RECENT
findingsCD19 targeted CAR-T-cell therapy (CD19-CAR) is highly effective in patients with relapsed/refractory (r/r) B-cell hematologic malignancies. However, multiple challenges have arisen, particularly life-threatening adverse events, such as cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome. Despite these challenges, recent CD19-CAR trials, including two randomized studies, have demonstrated both impressive initial results along with durable responses. Combined with results emerging from 'real-world' experience, the efficacy of CAR-T-cells is high, propelling CAR-T-cells studies targeting alternate B-cell antigens [e.g. CD20, CD22 and CD269 (BCMA)] and other targets for hematologic malignancies, along with solid and CNS tumors. SUMMARY: Given the benefit for CD19-CAR, determining the appropriate place in utilization for both an individual patient's treatment course and more broadly in the generalized treatment paradigm is critically needed. We discuss the most recent trials exploring this topic and future directions in the field.
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.