Clinical features, outcome and prognostic factors of 87 patients with angioimmunoblastic T cell lymphoma in Taiwan

2016 ◽  
Vol 104 (2) ◽  
pp. 256-265 ◽  
Author(s):  
Hsiao-Wen Kao ◽  
Tung-Liang Lin ◽  
Lee-Yung Shih ◽  
Po Dunn ◽  
Ming-Chung Kuo ◽  
...  
2010 ◽  
Vol 51 (12) ◽  
pp. 2208-2214 ◽  
Author(s):  
Han-Nan Lin ◽  
Chun-Yu Liu ◽  
Ying-Chung Hong ◽  
Jih-Tung Pai ◽  
Ching-Fen Yang ◽  
...  

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.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2465-2465
Author(s):  
Tomohiro Kinoshita ◽  
Tomomitsu Hotta ◽  
Taro Shibata ◽  
Kiyoshi Mukai ◽  
Motoko Yamaguchi ◽  
...  

Abstract PURPOSE: To elucidate clinical features of NHL subtyped with WHO classification, and to evaluate the prognostic impact of WHO classification on aggressive lymphoma treated in an RCT. METHODS: JCOG9002 was an RCT comparing two multidrug combination chemotherapy regimens, LSG9 and mLSG4 (Int J Hematol 80:341, 2004). Major eligibility criteria were; previously untreated patients with intermediate- or high-grade NHL on WF (ATL, LbL and CTCL were excluded); CS I to IV except CS I in GI, thyroid, orbit, or Waldeyer; age 15–69. Tissue specimens were centrally reviewed by six hematopathologists and classified according to WHO classification of lymphoid tumors. Overall survival (OAS) and complete response rate (%CR) of each WHO category were analyzed. Multivariate analyses of prognostic factors influencing OAS were conducted. RESULTS: A total of 447 patients were registered between 1991 and 1995, and the central pathological review was conducted on 404 patients. Characteristics of the 404 pts include median (range) age 56 (18–69) years; male/female 63/37%, CS I+II/III+IV 31/69%; LDH N/>N 51/49%; PS 0+1/2–4 78/22%; No. of extranodal sites 0–1/1< 77/23%; IPI L/LI/HI/H 40/27/20/12%. Major clinical features, OAS and %CR of major types according to WHO classification are summarized in Table 1. Twelve patients with FL (G1+2) were ineligible in this study but included. Clinical features, response to treatment and prognosis of each subtypes showed distinct patterns. Besides, we found that PTCL-U and NK/T-cell lymphoma showed lower CR rate and poorer OAS, and these features were quite different from other PTCL such as AILT or ALCL. Clinical features in other subtypes were similar to previous reports (Blood89: 3909, 1997; J Clin Oncol16: 2780, 1998). Cox regression analysis with IPI and WHO classification in 366 pts without missing value revealed that PTCL-U and NK/T-cell lymphoma were significant prognostic factors independent from IPI. Hazard ratios of these subgroups vs IPI low risk DLBCL group are 2.66 (95% confidence interval: 1.58–4.48) and 3.21 (1.40–7.37). CONCLUSIONS: Patients with aggressive lymphoma subtyped according to the WHO classification who were treated in an RCT showed distinctive clinical features. PTCL-U and NK/T-cell lymphoma showed a significantly poor prognosis independent from IPI, warranting further investigations focusing on these two subtypes. Table 1 No of cases (%) % male Median age % stage III or IV % IPI HI/H %5-yr OAS % CR *Pts with missing value are excluded from the denominator. Only major subtypes are included in this table. DLBCL 242 (59.9) 61 58 63 37 55 71 FL, all grades 37 (9.2) 70 55 68 15 76 70 MCL 15 (3.7) 60 57 87 20 53 73 MZL 9 (2.2) 56 51 71 0 89 67 AILT 22 (5.4) 77 58 100 67 67 73 PTCL-U 23 (5.7) 65 51 83 38 22 43 ALCL 10 (2.5) 70 50 70 33 70 70 NK/T 10 (2.5) 80 52 70 25 40 40


2020 ◽  
Vol 19 ◽  
pp. 153303382096423
Author(s):  
Chen Huang ◽  
Huichao Zhang ◽  
Yuhuan Gao ◽  
Lanping Diao ◽  
Lihong Liu

In this study we aimed to identify a set of prognostic factors for angioimmunoblastic T-cell lymphoma (AITL) and establish a novel prognostic model. The clinical data of 64 AITL patients enrolled to the Fourth Hospital of Hebei Medical University (from 2012 Jan to 2017 May) were retrospectively analyzed. The estimated 5-year overall survival and progression-free survival of this cohort of patients were 45.8% and 30.8%, respectively. Univariate analysis showed that age > 60 years, performance status ≥2, Ann Arbor stage III/IV, lactate dehydrogenase > 250 U/L, serum albumin (ALB) < 30 g/l, Coombs test positive, and Ki-67 rate ≥ 70% were significantly associated with poor prognosis. Multivariate analysis demonstrated that age > 60 years, ALB < 30 g/l, Ki-67 rate ≥ 70%, and Coombs test positive were independent prognosis factors for AITL. Here a new prognostic model, named as AITLI, was constructed using the top 5 significant prognostic factors for AITL prognostic prediction. The AITL patients were stratified into 3 risk groups: low, intermediate, and high risk groups. The new prognostic model AITLI showed better performance in predicting prognosis than the International Prognostic Index (IPI) and the prognostic index for PTCL, not otherwise specified (PIT) that were wisely used to predict the outcome for patients with other subtypes of lymphoma.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5064-5064
Author(s):  
Chittima Sirijerachai ◽  
Kanchana Chansung ◽  
Arnuparp Lekhakula ◽  
Jakrawadee Julamanee ◽  
Kitsada Wudhikarn ◽  
...  

Abstract OBJECTIVES: To analyze clinical features, treatment outcomes in Thai patients with angioimmunoblastic T cell lymphoma (AITL). PATIENTS AND METHODS: From a nationwide multicenter registry of 4,056 NHL patients in Thailand between 2007 and 2014, there were a total of 54 angioimmunoblastic T cell lymphoma (AITL) patients. The clinical features and treatment outcomes were analyzed. RESULTS: There were a total of 54 cases accounted to the prevalence of 1.2 % of NHL and 12% of peripheral T cell lymphoma. The median age was 59 years (range 35-81). Male: female was 1.5:1. Seventy-eight percent of patients had advanced disease (stage III, IV), 69% had B symptoms, 28% had poor performance status (ECOG > 2) and 61% had elevated serum LDH level. Extranodal involvement was 56 %; the most common sites of which were bone marrow (30%) and liver (19 %). Thirty-five percent of the patients had IPI score > 2 and 7% had PIT >2. Eighty-one percent of patients were treated with chemotherapy of which CHOP/CHOP-like was the main regimen. Of the 43 evaluable patients receiving chemotherapy, complete remission was achieved in 41.9%. Forty-four percent of patients with complete remission had disease progression. With the median follow-up time of 65 months, the 5-year overall survival was comparable to peripheral T-cell lymphoma, not otherwise specified (PTCL, NOS), (28% vs. 37%, p=0.7). On multivariate analysis, response to treatment (at least PR) was associated with better outcome (HR 0.13, 95%CI 0.05-0.33, p= 0.000). Patients with PIT > 2 or B symptoms trended to have inferior survival outcome, although statistical significant was not achieve (HR 3.2, 95%CI 0.36-27.95, p=0.3; HR 2.3, 95%CI 0.78-7.31, p=0.13). CONCLUSIONS: The prevalence of Thai patients with AITL was much less than data reported from the international T-cell lymphoma project (18% of T-NHLs) (Vose et al, JCO2008;26:4124-30). The long-term survival was not inferior to patients with PTCL, NOS. Disclosures Khuhapinant: Roche: Honoraria.


2007 ◽  
Vol 48 (4) ◽  
pp. 716-722 ◽  
Author(s):  
Byeong-Bae Park ◽  
Baek-Yeol Ryoo ◽  
Jae H. Lee ◽  
Hyuck Kwon ◽  
Sung H. Yang ◽  
...  

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4104-4104
Author(s):  
Daisuke Komori ◽  
Mamiko Sakata-Yanagimoto ◽  
Sharna Tanzima Nuhat ◽  
Kota Fukumoto ◽  
Manabu Fujisawa ◽  
...  

Abstract Background: Angioimmunoblastic T cell lymphoma (AITL) is a subset of peripheral T cell lymphomas (PTCLs). AITL has very specific clinical features, including high fever, skin rush, and autoimmune-like manifestations. The molecular pathogenesis of AITL is poorly understood despite the recent progress in genetics of this disease. We and others previously identified disease specific ras homolog family member A (RHOA) mutations together with muations in epigenetic regulators, tet methylcytosine dioxygenase 2 (TET2) and DNA methyltransferase 3 alpha (DNMT3A) mutations, and isocitrate dehydrogenase (NADP(+)) 2, mitochondrial (IDH2) in AITL. Thesemutations were also frequent in PTCL, not otherwise specified (PTCL-NOS) having features of AITL. RHOA, a small GTPase is predominantly activated by guanine nucleotide exchange factors (GEFs). VAV1encodes a GEF, serving as an important mediator of T-cell receptor signaling pathway. Phosphorylation of VAV1 occurs within seconds in response to antigen stimulation of the T-cell receptors by Syk and Src-family tyrosine kinases and initiate downstream signaling. Objective: We aim to identify novel disease specific gene mutations in AITL besides RHOA. Methods: We performed RNA sequencing of 9 PTCL samples, including 6 AITL and 3 PTCL-NOS. Targeted deep sequencing of VAV1 was performed for 139 PTCL samples, including 93 AITL and 46 PTCL-NOS, 48 of which have RHOAmutations. VAV1 wild-type (WT), VAV1-STAP2, and VAV1 mutant (p.173_177del, p.165_174del, and p.Pro615Leu) cDNA was subcloned into pEF vector. Nuclear factor of activated T cell (NFAT) activity in response to CD3 stimulation was examined in Jurkat cells transiently transfected with a reporter vector containing NFAT response element (NFAT-RE) together with VAV1 WT and mutant cDNAs. The levels of interleukin-2 (IL-2) in response to CD3 stimulation were examined for the supernatant of Jurkat cells inducibly expressing VAV1 WT or VAV1-STAP2 cDNAs. Rac1 activation was examined in NIH3T3 cells transiently transfected with VAV1WT and mutant cDNAs. Results: RNA sequencing identified a fusion gene involving VAV1 and STAP2 in an AITL sample without RHOA mutations. Moreover, targeted sequencing of VAV1 identified 2 in-flame deletion mutations in an acidic region (c.C518_529del:p.173_177del and c.C494_520del:p.165_174del) in AITL samples and 2 missense mutations in a zinc finger and SH3-SH2-SH3 module (c.G1668C:p.Glu556Asp and c.C1844T:p.Pro615Leu) in PTCL-NOS and AITL samples, respectively. All of these VAV1 mutations were found in the samples without RHOA mutations. The phosphorylation of VAV1 at Tyr 174 was enhanced in Jurkat cells expressing VAV1-STAP2 cDNA than those with VAV1 WT cDNA or mock. The phosphorylation was efficiently blocked by Src inhibitors, PP2 and dasatinib. Transient transduction of VAV1-STAP2, VAV1 p.173_177del, p.165_174del, and p.Pro615Leu cDNA in Jurkat cells resulted in enhanced NFAT activity. Moreover, the aberrant reporter activity was blocked by Src-family kinase inhibitors. Jurkat cells inducibly expressing VAV1-STAP2 cDNA showed higher IL-2 secretion than those with mock or VAV1 WT. RAC1 activation was higher in NIH3T3 cells transfected with VAV1 p.173_177del and p.165_174del mutant cDNA than those with VAV1 p.Pro615Leu mutant and VAV1-STAP2 cDNA. Conclusions: Recurrent VAV1 abnormalities were found in AITL and PTCL-NOS samples. Our data suggest that the VAV1 mutations may contribute to its clinical features and the VAV1 mutants can be a new therapeutic target. Disclosures Izutsu: Abbvie: Research Funding; Gilead: Research Funding; Celgene: Research Funding; Janssen Pharmaceutical K.K.: Honoraria; Eisai: Honoraria; Kyowa Hakko Kirin: Honoraria; Chugai Pharmaceutical: Honoraria, Research Funding; Takeda Pharmaceutical: Honoraria; Mundipharma KK: Research Funding. Ogawa:Takeda Pharmaceuticals: Consultancy, Research Funding; Kan research institute: Consultancy, Research Funding; Sumitomo Dainippon Pharma: Research Funding.


2008 ◽  
Vol 88 (2) ◽  
pp. 111-119 ◽  
Author(s):  
Yuna Lee ◽  
Ji Eun Uhm ◽  
Hui-Young Lee ◽  
Min Jae Park ◽  
Hyeongsu Kim ◽  
...  

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