Revealing the heterogeneity of treatment resistance in less-defined subtype diffuse large B cell lymphoma patients by integrating programmed cell death patterns and liquid biopsy
Wei Hua , Jie Liu , Yue Li , Hua Yin , Hao-Rui Shen , Jia-Zhu Wu , Yi-Lin Kong , Bi-Hui Pan , Jun-Heng Liang , Li Wang , Jian-Yong Li , Rui Gao , Jin-Hua Liang , Wei Xu
Clinical and Translational Medicine ›› 2025, Vol. 15 ›› Issue (1) : e70150
Revealing the heterogeneity of treatment resistance in less-defined subtype diffuse large B cell lymphoma patients by integrating programmed cell death patterns and liquid biopsy
•Developing the Programmed Cell Death Index (PCDI) utilizing multiple machine learning algorithms for patients with less-defined subtype diffuse large B-cell lymphoma. | |
•The difference in clinical characteristics, circulating tumour DNA burden and immune profiling between patients with distinct PCDI groups. | |
•A potentially effective regimen was speculated for patients with high PCDI scores who tend to exhibit worse progression-free survival. |
ctDNA / DLBCL / liquid biopsy / lymphoma microenvironment / machine learning / prognostic nomogram / programmed cell death
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2024 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.
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