Chapuy et al. (2018) used the Consensus clustering method to integrate the genetic drivers of DLBCL and identified five subsets, namely C0-C5. More recently, Lacy et al. (2020) applied bernoulli mixture model clustering and analyzed five molecular subtypes of DLBCL based on a cohort of 928 cases of DLBCL, namely MYD88, BCL2, SOCS1/SGK1, TET2/SGK1, and NOTCH2, and an unclassified group. In the same period, Wright et al. (2020) Wright GW published a probabilistic classification tool, which used a similar algorithm to Schmitz and added two subtypes, ST2 and A53. This evidence concerns the gene MYD88 and diffuse large B-cell lymphoma.