Integrating multi-omics features enables non-invasive early diagnosis and treatment response prediction of diffuse large B-cell lymphoma
Weilong Zhang , Bangquan Ye , Yang Song , Ping Yang , Wenzhe Si , Hairong Jing , Fan Yang , Dan Yuan , Zhihong Wu , Jiahao Lyu , Kang Peng , Xu Zhang , Lingli Wang , Yan Li , Yan Liu , Chaoling Wu , Xiaoyu Hao , Yuqi Zhang , Wenxin Qi , Jing Wang , Fei Dong , Zijian Zhao , Hongmei Jing , Yanzhao Li
Clinical and Translational Medicine ›› 2025, Vol. 15 ›› Issue (1) : e70174
Integrating multi-omics features enables non-invasive early diagnosis and treatment response prediction of diffuse large B-cell lymphoma
•A comprehensive multi-omics solution to specifically obtain an extensive fragmentomics landscape, presented by breakpoint characteristics of nucleosomes, CpG islands, DNase clusters and enhancers, besides typical methylation, copy number alteration of cfDNA. | |
•Integrated model of cfDNA multi-omics could be used for non-invasive early diagnosis of DLBCL. | |
•Integrated model of cfDNA multi-omics could effectively evaluate the efficacy of R-CHOP before DLBCL treatment. |
cfDNA / DLBCL / early diagnosis / integrated model / multi-omics / treatment prediction
2025 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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