Machine-learning-based classification of diffuse large B-cell lymphoma patients by a 7-mRNA signature enriched with immune infiltration and cell cycle.

Xujie ZhuangBo LiuJunqi LongHuina WangJiangyong YuXinchan JiJinmeng LiNian ZhuLujia LiYuhaoran ChenZhidong LiuShuangtao Zhao

Published in: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico (2023)

This model could evaluate survival independently with strong predictive power compared with other clinical risk factors. Our study constructed a reliable model to predict two new subtypes of DLBCL patients, which could guide the implementation of individualized treatment.

Keyphrases

diffuse large b cell lymphoma
machine learning
cell cycle
end stage renal disease
ejection fraction
risk factors
newly diagnosed
chronic kidney disease
prognostic factors
healthcare
cell proliferation
primary care
artificial intelligence
big data
binding protein