ArticleJournal for immunotherapy of cancer2022
Forecasting immune effector cell-associated neurotoxicity syndrome after chimeric antigen receptor t-cell therapy.
Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Prediction models for CAR-T Cell therapy-related adverse events in hematologic malignancies: a systematic review and meta-analysis.BMC cancer · 2026Pooled it
- Obstacles and improvement strategies for CAR-T cell therapy in solid tumors.Discover oncology · 2026Review
- Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.Drug safety · 2026Review
- Immune effector cell-associated neurotoxicity syndrome following CAR T-cell therapy: a review of recent advances.Journal of translational medicine · 2025Review
- Mechanisms and treatment of cancer therapy-induced peripheral and central neurotoxicity.Nature reviews. Cancer · 2025Review
- ICANS risk model in CD19 CAR-T therapy: insights from serum and CSF cytokine profiling.Bone marrow transplantation · 2025Article
- Review
- Neurological complications of CAR T cell therapy for cancers.Nature reviews. Neurology · 2025Review
- Simple and early prediction of severe CAR-T-related adverse events after Axi-cel infusion by initial high fever.International journal of hematology · 2025Article
- Mitigation and Management of Common Toxicities Associated with the Administration of CAR-T Therapies in Oncology Patients.Drug safety · 2025Review
- Review
- Immunotherapy-related neurotoxicity in the central nervous system of children with cancer.Neuro-oncology · 2025Review
- Modulation of brain immune microenvironment and cellular dynamics in systemic inflammation.Theranostics · 2025Article
- Smart CAR-T Nanosymbionts: archetypes and proto-models.Frontiers in immunology · 2025Review
- CD19 -targeted CAR T therapy treating hematologic malignancies: hidden danger is the next neighbor to security?Frontiers in immunology · 2025Review
- In-depth analysis of the safety of CAR-T cell therapy for solid tumors.Frontiers in immunology · 2025Review
- Review
- Neurofilament light chain levels as an early predictive biomarker of neurotoxicity after CAR T-cell therapy.Journal for immunotherapy of cancer · 2024Article
- Article
- Neurologic Complications of Cancer Immunotherapy.Current oncology (Toronto, Ont.) · 2023Review
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundImmune effector cell-associated neurotoxicity syndrome (ICANS) is a clinical and neuropsychiatric syndrome that can occur days to weeks following administration chimeric antigen receptor (CAR) T-cell therapy. Manifestations of ICANS range from encephalopathy and aphasia to cerebral edema and death. Because the onset and time course of ICANS is currently unpredictable, prolonged hospitalization for close monitoring following CAR T-cell infusion is a frequent standard of care.
methodsThis study was conducted at Brigham and Women's Hospital from April 2015 to February 2020. A cohort of 199 hospitalized patients treated with CAR T-cell therapy was used to develop a combined hidden Markov model and lasso-penalized logistic regression model to forecast the course of ICANS. Model development was done using leave-one-patient-out cross validation.
resultsAmong the 199 patients included in the analysis 133 were male (66.8%), and the mean (SD) age was 59.5 (11.8) years. 97 patients (48.7%) developed ICANS, of which 59 (29.6%) experienced severe grades 3-4 ICANS. Median time of ICANS onset was day 9. Selected clinical predictors included maximum daily temperature, C reactive protein, IL-6, and procalcitonin. The model correctly predicted which patients developed ICANS and severe ICANS, respectively, with area under the curve of 96.7% and 93.2% when predicting 5 days ahead, and area under the curve of 93.2% and 80.6% when predicting the entire future risk trajectory looking forward from day 5. Forecasting performance was also evaluated over time horizons ranging from 1 to 7 days, using metrics of forecast bias, mean absolute deviation, and weighted average percentage error.
conclusionThe forecasting model accurately predicts risk of ICANS following CAR T-cell infusion and the time course ICANS follows once it has begun.Cite Now.
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