Immunophenotypic classification regarding prognosis in peripheral T cell lymphoma, NOS, and nodal T follicular helper T cell lymphoma, angioimmunoblastic-type.
Soyeon ChoiJae-Cheol JoYoo Jin LeeSeoung Wan ChaeHee Jeong ChaPublished in: Annals of hematology (2024)
This study aimed to determine the clinicopathological predictive factors of peripheral T-cell lymphoma, not otherwise specified (PTCL, NOS), and nodal T-follicular helper cell lymphoma, angioimmunoblastic-type (nTFH, AI-type). In this single-centered, retrospective study, medical records of 59 patients who were diagnosed with PTCL, NOS, or nTFH, AI-type from March 2007 to September 2022 were reviewed. The clinicopathological variables, including immunohistochemistry(IHC) subgroups, distinguishing TBX21 from the GATA3 subgroups were analyzed. Overall, 28 patients (75.7%) in the TBX21 group were PTCL, NOS. There were 9 (24.3%) patients in the GATA3 group. In univariable analyses, lymphoma subtype, age, and performance status were associated with progression-free survival (PFS), and overall survival (OS). In multivariable analyses, lymphoma subtype, and performance status were related to PFS and OS (P = 0.012, P < 0.001, P = 0.006, and P < 0.001, respectively). The GATA3 subgroup tended to have a worse prognosis in univariable analyses; however, it became more insignificant in multivariable when lymphoma subtype and performance status were adjusted (P = 0.065, P = 0.180, P = 0.972, and P = 0.265, respectively). The double-positive group showed variable prognoses of better PFS and worse OS. PD-1 and PD-L1 were associated with the EBV in situ hybridization (P = 0.027, and P = 0.005), and PD-1 was associated with CD30 expression (P = 0.043). This study demonstrated the potential of IHC classification to predict prognosis for PTCL, NOS, as well as nTFH AI-type, although further validation is necessary. Treatments targeting CD30, PD-1, and PD-L1 appear promising for lymphoma treatment.
Keyphrases
- diffuse large b cell lymphoma
- nitric oxide synthase
- end stage renal disease
- free survival
- ejection fraction
- newly diagnosed
- artificial intelligence
- transcription factor
- chronic kidney disease
- machine learning
- healthcare
- lymph node
- prognostic factors
- deep learning
- poor prognosis
- epstein barr virus
- squamous cell carcinoma
- nitric oxide
- randomized controlled trial
- dendritic cells
- stem cells
- cell therapy
- patient reported outcomes
- risk assessment
- single cell
- drug delivery
- climate change
- bone marrow
- chemotherapy induced
- phase iii