Why the study?
Mantle cell lymphoma exhibits significant heterogeneity, and existing prognostic models do not truly define the complexity of the disease.
Does a POD24-based prognostic signature enable personalized risk stratification and predict survival in mantle cell lymphoma patients?
Does a POD24-based prognostic signature enable personalized risk stratification and predict survival in mantle cell lymphoma patients?
A novel prognostic risk model incorporating POD24 effectively stratifies mantle cell lymphoma patients by survival risk, identifying high-risk patients who may need more intensive treatment.
May inform MCL risk stratification; extends existing models but leaves open prospective validation before practice change.
Mantle cell lymphoma (MCL) exhibits significant biological and clinical heterogeneity, necessitating a refined prognostic model. According to the drawbacks of existing models which do not truly define the complexity of the disease, we used the clinical and molecular data from nine medical centers of China to validate the predictive utility of progression of disease within 24 months (POD24), and also established a novel prognostic risk model to predict the survival outcome of MCL patients. POD24 occurred in 37.7% of evaluable patients, with the median over survival being 21 months (vs. 122 months for those without POD24, P < 0.0001). The POD24-based risk model had the highest sensitivity to predict survival with the most satisfying AUC value for risk score (AUC = 0.869). In conclusion, we confirm the obviously predictive performance of POD24 and established a novel risk model combined POD24 and clinical factors. Our new prognostic model might be helpful in effectively classify MCL patients with high-risk groups in terms of survival rate, which may help in selecting high-risk MCL patients for more intensive treatment at time of relapse.
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He et al. (2025) studied this question.
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