Lower BCL11B expression is associated with adverse clinical outcome for patients with myelodysplastic syndrome

Higher 13-Gene-Estimated TMB Detected from Plasma ctDNA is Associated with Worse Outcome for T-Cell Lymphoma Patients

Exome sequencing of in situ tumor samples reveals that mutated genes can predict the prognosis of patients with T-cell lymphoma (TCL). However, how tumor mutation burden (TMB) derived from circulating tumor DNA (ctDNA) may stratify TCL patients remains unclear.The plasma ctDNA of 79 newly diagnosed TCL patients from the clinical center is used for targeted exome sequencing, and the exome data of 4035 TCL patients from the Catalogue of Somatic Mutations in Cancer (COSMIC) database is obtained for comparison analysis.TCL patients with higher TMB, as evaluated with a panel of 120 genes (panel-TMB120), are associated with poor prognosis. More importantly, COX regression analysis identifies a subset of 13 genes in panel-TMB120, including AP3B1 (Adaptor related protein complex 3 subunit beta 1), ATM (Ataxia-telangiectasia mutated), BCL6 (B cell lymphoma 6), BRAF (B-Raf proto-oncogene, serine/threonine kinase), CDKN2B (Cyclin dependent kinase inhibitor 2B), EPCAM (Epithelial cell adhesion molecule), FBXO11 (F-box protein 11), JAK1 (Janus kinase 1), MDM2 (Murine double minute 2), NF1 (Neurofibromin 1), STAT5B (Signal transducer and activator of transcription 5B), STAT6 (Signal transducer and activator of transcription 6), and TET2 (Tet methylcytosine dioxygenase 2), which are significantly associated with prognosis. Specifically, higher TMB values calculated with these 13 genes (panel-TMB13) are able to significantly predict unfavorable prognosis for these patients. Together, panel-TMB13 and the International Prognostic Index (IPI) are used for risk stratification.Panel-TMB13 is identified, which can predict poor prognosis for TCL patients carrying higher panel-TMB13 scores and suggest that panel-TMB13 may be a potential biomarker for supplement risk stratification of TCL patients.

T-cell lymphoma patient harboring BCL11B mutations had favorable overall survival

BACKGROUND

Molecular genetics serve a critical role in constructing risk stratification for hematological malignancies, but T-cell lymphoma (TCL) still lacks molecular genetic information for supplement risk stratification in predicting the prognosis of TCL patients. In the present study, we characterized the mutation patterns of B-cell leukemia/lymphoma 11B gene (BCL11B) and its prognostic importance in TCL patients.

METHODS

BCL11B mutations were characterized based on the data from two datasets, one is from our clinical center (GDPH dataset, n = 79) and the other is from COSMIC dataset (n = 154).

RESULTS

The overall mutation rate of BCL11B was 6.4% (15/233) in TCL, and there were no hotspot mutation sites in TCL. Among these mutations, the missense and splice site mutation were significantly prominent. Moreover, TCL patients harboring BCL11B mutations had a favorable overall survival (OS) in our center (GDPH dataset) (adjusted hazard ratio [HR] = .001, p = 0.109), although there were not yet significantly statistical at this point. In addition, TCL patients harboring BCL11B mutation had a longer 5-year restricted mean survival time (RMST) than those without a BCL11B mutation (60 vs. 32 months). Notably, BCL11B mutations were not associated with TCL entities having better prognosis.

CONCLUSIONS

BCL11B mutations were associated with favorable clinical outcome for TCL patients; it might be considered as a novel biomarker for TCL prognostic stratification.

High Co-Expression of PDCD1/TIGIT/CD47/KIR3DL2 in Bone Marrow Is Associated with Poor Prognosis for Patients with Myelodysplastic Syndrome

Cellular immune disorder is a common characteristic of myelodysplastic syndrome (MDS). Abnormal natural killer (NK) cell function has been reported in MDS patients, and this is closely related to disease progression and poor prognosis. However, little is known about the association between the abnormal immune checkpoint (IC) that results in abnormal immune NK cell function and the prognosis of MDS. In this study, RNA-sequencing data from 80 patients in the GSE114922 dataset and bone marrow (BM) samples from 46 patients with MDS in our clinical center were used for overall survival (OS) analysis and validation. We found that the NK cell-related IC genes PDCD1, TIGIT, CD47, and KIR3DL2 had higher expression and correlated with poor OS for MDS patients. High expression of PDCD1 or TIGIT was significantly associated with poor OS for MDS patients younger than 60 years of age. Moreover, co-expression of PDCD1 and TIGIT had the greatest contribution to OS prediction. Interestingly, PDCD1, TIGIT, CD47, and KIR3DL2 and risk stratification based on the Revised International Prognostic Scoring System were used to construct a nomogram model, which could visually predict the 1-, 2-, and 3-year survival rates of MDS patients. In summary, high expression of IC receptors in the BM of MDS patients was associated with poor OS. The co-expression patterns of PDCD1, TIGIT, CD47, and KIR3DL2 might provide novel insights into designing combined targeted therapies for MDS.

Decreased TCF1 and BCL11B expression predicts poor prognosis for patients with chronic lymphocytic leukemia

T cell immune dysfunction is a prominent characteristic of chronic lymphocytic leukemia (CLL) and the main cause of failure for immunotherapy and multi-drug resistance. There remains a lack of specific biomarkers for evaluating T cell immune status with outcome for CLL patients. T cell factor 1 (TCF1, encoded by the TCF7 gene) can be used as a critical determinant of successful anti-tumor immunotherapy and a prognostic indicator in some solid tumors; however, the effects of TCF1 in CLL remain unclear. Here, we first analyzed the biological processes and functions of TCF1 and co-expressing genes using the GEO and STRING databases with the online tools Venny, Circos, and Database for Annotation, Visualization, and Integrated Discovery (DAVID). Then the expression and prognostic values of TCF1 and its partner gene B cell leukemia/lymphoma 11B (BCL11B) were explored for 505 CLL patients from 6 datasets and validated with 50 CLL patients from Henan cancer hospital (HNCH). TCF1 was downregulated in CLL patients, particularly in CD8+ T cells, which was significantly correlated with poor time-to-first treatment (TTFT) and overall survival (OS) as well as short restricted mean survival time (RMST). Function and pathway enrichment analysis revealed that TCF1 was positively correlated with BCL11B, which is involved in regulating the activation and differentiation of T cells in CLL patients. Intriguingly, BCL11B was highly consistent with TCF1 in its decreased expression and prediction of poor prognosis. More importantly, the combination of TCF1 and BCL11B could more accurately assess prognosis than either alone. Additionally, decreased TCF1 and BCL11B expression serves as an independent risk factor for rapid disease progression, coinciding with high-risk indicators, including unmutated IGHV, TP53 alteration, and advanced disease. Altogether, this study demonstrates that decreased TCF1 and BCL11B expression is significantly correlated with poor prognosis, which may be due to decreased TCF1+CD8+ T cells, impairing the effector CD8+ T cell differentiation regulated by TCF1/BCL11B.

Low Expression of CD5 and CD6 Is Associated with Poor Overall Survival for Patients with T-Cell Malignancies

Background

T-cell malignancies (TCMs), including T-cell acute lymphoblastic leukemia (T-ALL) and T-cell lymphoma (TCL), are highly aggressive and have a poor prognosis. To further understand prognostic stratifications and to design targeted therapies, this study aims to explore novel, potential biomarkers based on alterations in immune costimulatory molecules (CMs) for TCMs.

Methods

Peripheral blood from 25 de novo T-ALL patients in our clinical center and transcriptome data from 131 to 162 patients with peripheral TCL (PTCL) from the GSE19069 and GSE58445 dataset, respectively, were obtained to assess the expression levels of CMs and their prognostic significance.

Results

Seven CMs were associated with overall survival (OS). Among these CMs, CD5 and CD6 had the highest pairwise positive correlation (R = 0.69). CD5 and CD6 were significantly down-regulated in TCM patients compared with healthy individuals (HIs), and lower CD5 and CD6 expression was associated with poor OS for both T-ALL and TCL patients, particularly for patients greater than 60 years old. Furthermore, CD5 was positively correlated with CD6 in TCM patients. Compared with patients who were CD5^highCD6^high, T-ALL and TCL patients who were CD5^lowCD6^low had poor OS. Importantly, CD5^highCD6^high was an independent prognostic predictor for OS in T-ALL (HR = 0.39, 95% CI: 0.23–0.65, P < 0.001) and TCL (HR = 0.35, 95% CI: 0.19–0.62, P < 0.001) patients.

Conclusions

Low expression of CD5 and CD6 was associated with poor OS for TCM patients, and this may be a potential immune biomarker panel for prognostic stratification of TCM patients.

High expression of TMEM244 is associated with poor overall survival of patients with T-cell lymphoma

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.

Human Transcriptome Array Analysis Identifies CDR2 as a Novel Suppressed Gene for Kawasaki Disease

Kawasaki disease (KD) is a febrile childhood vasculitis that involves the coronary arteries. Most previous studies have focused on the genes activated in the acute phase of KD. However, in this study, we focused on suppressed genes in the acute stage of KD and identified novel targets with clinical significance and potential prognostic value for KD patients. We enrolled 18 patients with KD, 18 healthy controls (HC), and 18 febrile controls (FC) for human transcriptome array analysis. Another 19 healthy controls, 20 febrile controls, and 31 patients with KD were recruited for RT-PCR validation of target mRNA expressions. The results of Human Transcriptome Array (HTA) 2.0 showed 461 genes that were significantly higher in KD and then normalized after IVIG, as well as 99 suppressed genes in KD. Furthermore, we identified the four genes in KD with the most downregulation, including BCL11B, DUSP2, DDX24, and CDR2, as well as the upregulation of their expression following IVIG administration. The mRNA expression of CDR2 by qRT-PCR was the most compatible with the pattern of the HTA2.0 results. Furthermore, we found higher DDX24 mRNA expression in KD patients with CAL when compared to those without CAL 3 weeks after IVIG administration. In summary, activated gene expression represented a majority in the immune response of KD. In this study, we identified CDR2 as a novel suppressed gene for Kawasaki disease via human transcriptome array analysis and DDX24 associated with CAL formation, which may contribute to further understanding of CAL pathogenesis in KD.