High expression of TMEM244 is associated with poor overall survival of patients with T-cell lymphoma.
Biomark Res
; 10(1): 46, 2022 Jul 12.
Article
em En
| MEDLINE
| ID: mdl-35831833
T-cell lymphoma (TCL) is an aggressive and genetically heterogeneous malignancy with adverse clinical outcomes; thus, it is worth exploring biomarkers for risk stratification. Previous studies have demonstrated that transmembrane protein 244 gene (TMEM244) is ectopically expressed in Sézary syndrome (SS). In this study, the expression level of TMEM244 and its prognostic value for TCL patients was explored by analyzing RNA-seq data of two large datasets (GSE132550 and GSE113113) containing 129 TCL patients and 13 healthy individuals (HIs) from the Gene Expression Omnibus (GEO) database, the PRJCA002270 dataset containing 124 patients with T-cell acute lymphoblastic leukemia (T-ALL) from the BioProject database, and peripheral blood (PB) samples of 24 TCL and 29 T-ALL patients, as well as 11 normal CD3 + T-cells from our clinical center (JNU). The results suggested that TMEM244 was significantly up-regulated in TCL patients compared with normal CD3 + T-cells or T-ALL in the JNU, GSE132550 and GSE113113 datasets (P < 0.05). However, TMEM244 shows no expression in patients with T-ALL in the JNU-T-ALL and PRJCA002270 datasets. The receiver operating characteristic (ROC) curve analysis indicated that TMEM244 expression had a very high accuracy in diagnosing TCL compared with T-ALL (area under the curve (AUC): 99.4%; P < 0.001). Importantly, high TMEM244 expression was significantly associated with poor OS and shorter 5-year restricted mean survival time (RMST) in TCL patients, especially those treated with chemotherapy. In summary, TMEM244 is also expressed in other types of TCL besides SS, but not in T-ALL. High TMEM244 expression is associated with poor OS in TCL patients, which might be a novel biomarker for prognostic stratification in TCL patients and facilitate the design of novel therapies.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Biomark Res
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
China
País de publicação:
Reino Unido