Neutrophil extracellular trap-related genes in PTCL: identification, prognosis and drug interaction prediction via bioinformatics-machine learning

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.

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Publication Details

Journal
Hematology
Published
2026-03-02
DOI
https://doi.org/10.1080/16078454.2026.2631219
Primary Topic
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
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article

Neutrophil extracellular trap-related genes in PTCL: identification, prognosis and drug interaction prediction via bioinformatics-machine learning

Jianzhong Chen, Jun Fang
Hematology
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
article

Neutrophil extracellular trap-related genes in PTCL: identification, prognosis and drug interaction prediction via bioinformatics-machine learning

Jianzhong Chen, Jun Fang
article en

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.

HematologyVol. 31(1)
Regional Medical Center (US), Huazhong University of Science and Technology (CN)
Good health and well-being
Openalex Percentile: Top 36%
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
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Neutrophil extracellular trap-related genes in PTCL: identification, prognosis and drug interaction prediction via bioinformatics-machine learning — Jianzhong Chen, Jun Fang · Hematology (2026) | TGRS Research Map | TGRS