Real-world patient-based next-generation sequencing assessments identify a high-risk subgroup and associated gene signature in diffuse large B cell lymphoma
Observational analysis identified a high-risk diffuse large B cell lymphoma subgroup, suggesting gene sequencing and machine learning may enhance prognostic assessments.
Key Points
Overall survival was linked to genetic markers, with commonly known genes like TP53 showing significant implications.
A Random Forest regression model evaluated gene predictors and identified critical alterations in chromatin modifiers.
Kaplan–Meier analysis confirmed significant differences in progression-free survival between identified molecular clusters.
Machine learning can enhance existing classification systems and inform personalized approaches for diffuse large B cell lymphoma.