ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2025
Can one scoring system fit all? Comparative validation of CAR-HEMATOTOX, ALL-HEMATOTOX, and eIPM for predicting immune effector cell-associated hematotoxicity following CAR-T therapy in hematologic malignancies.
Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- CAR-HEMATOTOX score as a predictor of hematotoxicity, infection, and survival after CAR T-cell therapy in hematologic malignancies: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Management of Primary Refractory Diffuse Large B-Cell Lymphoma in Patients Unsuitable for CAR T-Cell Therapy.European journal of haematology · 2026Review
- Biomarker-empowered precision navigation of CAR-T cell therapy.Molecular cancer · 2026Review
- Precision immunotherapy with CAR-T cells in pediatric B-cell acute lymphoblastic leukemia: advances and unanswered challenges.Frontiers in oncology · 2025Review
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17 authors.
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Abstract
Objective: Immune effector cell-associated hematotoxicity (ICAHT), characterized by prolonged cytopenia and delayed hematopoietic recovery, is a common complication following chimeric antigen receptor T (CAR-T) cell therapy. However, the applicability of existing predictive models, CAR-HEMATOTOX (CAR-HT) for lymphoma, acute lymphoblastic leukemia-HEMATOTOX (ALL-HT) for B-ALL, and the early ICAHT prediction model (eIPM), remains uncertain across different hematologic malignancies. Methods: We prospectively analyzed 119 patients who received CAR-T therapy between January 2022 and June 2025, including B-ALL (n=62), T-ALL/non-Hodgkin's lymphoma (NHL) (n=25), and multiple myeloma (MM, n=32). The CAR-HT, ALL-HT, and eIPM models were evaluated for their ability to predict ICAHT severity and survival outcomes. Results: Grade 3 ICAHT occurred in 32.3% of B-ALL, 40.0% of T-ALL/NHL, and 25.0% of MM patients, while grade 4 rates were 33.9%, 20.0%, and 6.3%, respectively. CAR-HT classified 67.2% of patients as high-risk, and ALL-HT identified 56.3% of ALL/NHL patients as high-risk. In both models, high-risk groups experienced significantly more prolonged neutropenia than low-risk groups (CAR-HT: 17.7 Conclusions: The CAR-HT, ALL-HT, and eIPM models consistently identify patients at high risk for severe ICAHT across B-ALL, T-ALL/NHL, and MM. Among these, the eIPM stands out as a promising universal tool for survival prediction. These models provide valuable prognostic insights that can guide supportive care and inform treatment planning in CAR-T therapy.
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