Machine-learning-based classification of diffuse large B-cell lymphoma patients by a 7-mRNA signature enriched with immune infiltration and cell cycle
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s12094-023-03326-y.pdf
Reference41 articles.
1. Reddy A, Zhang J, Davis NS, Moffitt AB, Love CL, Waldrop A, et al. Genetic and functional drivers of diffuse large B cell lymphoma. Cell. 2017;171:481–94.
2. Jiménez-Cortegana C, Sánchez-Martínez PM, Palazón-Carrión N, Nogales-Fernández E, Henao-Carrasco F, Martín García-Sancho A, et al. Lower survival and increased circulating suppressor cells in patients with relapsed/refractory diffuse large B-cell lymphoma with deficit of vitamin D levels using R-GDP plus lenalidomide (R2-GDP): results from the R2-GDP-GOTEL trial. Cancers (Basel). 2021;13:4622.
3. Pan M, Yang P, Wang F, Luo X, Li B, Ding Y, et al. Whole Transcriptome data analysis reveals prognostic signature genes for overall survival prediction in diffuse large B cell lymphoma. Front Genet. 2021;12:963.
4. Luo Y. A novel molecular classification of diffuse large B cell lymphoma based on Metabolism-related genes. 2020. https://doi.org/10.21203/rs.3.rs-132445/v1
5. Reddy A, Zhang J, Davis NS, Moffitt AB, Love CL, Waldrop A, et al. Genetic and functional drivers of diffuse large B cell lymphoma. Cell. 2017;171(481–94): e15.
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