This classification also indicates several tumors with a higher probability of recurrence than typical PitNETs, including tumors with elevated proliferative activity and the special variants of adenomas.5 However, guidance for selecting a treatment strategy using this classification system is limited.56 To explore new potential treatments for PitNET, we conducted a proteogenomic study to identify innovative drug targets, which resulted in reclassification of PitNETs into seven clusters based on TF expression and molecular characteristics in multi-omics data (Fig. 6a). Here, TF is linked to adenoma.