This research aims to identify neutrophil extracellular trap-related genes and assess their prognostic value in peripheral T-cell lymphoma (PTCL).
Employ bioinformatics approaches to analyze NET-related genes
Utilize machine learning algorithms for interaction predictions
Evaluate the role of lenalidomide as a treatment option
Identified key NET-related genes associated with PTCL prognosis
Demonstrated the potential of lenalidomide as an initial treatment option
Highlighted the importance of the tumor microenvironment in disease management
Abstract
NET-RGs play crucial roles in diagnosis, prognosis, and TME regulation, and lenalidomide, a putative TNF-targeting agent, may represent a feasible initial treatment option in PTCL.