scholarly journals High expression levels of TLR9 and PD-L1 indicates a poor prognosis in patients with angioimmunoblastic T-cell lymphoma: a retrospective study of 88 cases in a single center

2020 ◽  
Vol 11 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Jingrong Qian ◽  
Hongxue Meng ◽  
Bowen Lv ◽  
Jie Wang ◽  
Yingying Lu ◽  
...  
2018 ◽  
Vol 59 (12) ◽  
pp. 2911-2916 ◽  
Author(s):  
Huangming Hong ◽  
Xiaojie Fang ◽  
Zhao Wang ◽  
He Huang ◽  
Sio Teng Lam ◽  
...  

2016 ◽  
Vol 176 (4) ◽  
pp. 661-664 ◽  
Author(s):  
Rebeca Manso ◽  
Giovanna Roncador ◽  
Santiago Montes-Moreno ◽  
Federico Rojo ◽  
M. Ángeles Pérez-Sáenz ◽  
...  

Blood ◽  
2010 ◽  
Vol 115 (5) ◽  
pp. 1026-1036 ◽  
Author(s):  
Javeed Iqbal ◽  
Dennis D. Weisenburger ◽  
Timothy C. Greiner ◽  
Julie M. Vose ◽  
Timothy McKeithan ◽  
...  

Abstract Peripheral T-cell lymphoma (PTCL) is often challenging to diagnose and classify. Gene expression profiling was performed on 144 cases of PTCL and natural killer cell lymphoma and robust molecular classifiers were constructed for angioimmunoblastic T-cell lymphoma (AITL), anaplastic lymphoma kinase-positive (ALK+) anaplastic large-cell lymphoma (ALCL), and adult T-cell leukemia/lymphoma. PTCL-unclassifiable was molecularly heterogeneous, but we were able to identify a molecular subgroup with features of cytotoxic T lymphocytes and a poor survival compared with the remaining PTCL–not otherwise specified cases. Many of the pathologic features and substantial components of the molecular signature of AITL are contributed by the follicular dendritic cells, B-cell, and other stromal components. The expression of Th17-associated molecules in ALK+ ALCL was noted and may represent aberrant activation of Th17-cell differentiation by abnormal cytokine secretion. Adult T-cell leukemia/lymphoma has a homogeneous molecular signature demonstrating high expression of human T-lymphotropic virus type 1–induced genes. These classifiers reflect the biology of the tumor cells as well as their microenvironment. We also constructed a molecular prognosticator for AITL that appears to be largely related to the microenvironmental signature, and the high expression of 2 immunosuppressive signatures are associated with poor outcome. Oncogenic pathways and tumor-host interactions also were identified, and these findings may lead to better therapies and outcome in the future.


2010 ◽  
Vol 60 (4) ◽  
pp. 278-283 ◽  
Author(s):  
Daisuke Niino ◽  
Yoshihiro Komohara ◽  
Toshihiko Murayama ◽  
Ryosuke Aoki ◽  
Yoshizo Kimura ◽  
...  

2012 ◽  
Vol 74 (4) ◽  
pp. 399-404
Author(s):  
Kana KOZONO ◽  
Kazuhiko YAMAMURA ◽  
Toshihiko MASHINO ◽  
Masutaka FURUE ◽  
Hideki ASAOKU ◽  
...  

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110132
Author(s):  
Jie Sun ◽  
Sha He ◽  
Hong Cen ◽  
Da Zhou ◽  
Zhe Li ◽  
...  

Objective To explore prognostic factors and develop an accurate prognostic prediction model for angioimmunoblastic T-cell lymphoma (AITL). Methods Clinical data from Chinese patients with newly diagnosed AITL were retrospectively analysed. Overall survival (OS) and progression-free survival (PFS) were estimated using Kaplan-Meier method survival curves; prognostic factors were determined using a Cox proportional hazards model. The sensitivity and specificity of the predicted survival rates were compared using area under the curve (AUC) of receiver operating characteristic (ROC) curves. Results The estimated 5-year OS and PFS of 55 eligible patients with AITL were 22% and 3%, respectively. Multivariate analysis showed that the presence of pneumonia, and serous cavity effusions at initial diagnosis were significant prognostic factors for OS. Based on AUC ROC values, our novel prognostic model was superior to IPI and PIT based models and suggested better diagnostic accuracy. Conclusions Our prognostic model based on pneumonia, and serous cavity effusions at initial diagnosis enabled a balanced classification of AITL patients into different risk groups.


2017 ◽  
Vol 8 (5) ◽  
pp. 793-800 ◽  
Author(s):  
Jing-hua Wang ◽  
Xi-wen Bi ◽  
Peng-fei Li ◽  
Zhong-jun Xia ◽  
Hui-qiang Huang ◽  
...  

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