scholarly journals A novel prognostic model for angioimmunoblastic T-cell lymphoma: A retrospective study of 55 cases

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.

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.


2018 ◽  
Vol 59 (12) ◽  
pp. 2911-2916 ◽  
Author(s):  
Huangming Hong ◽  
Xiaojie Fang ◽  
Zhao Wang ◽  
He Huang ◽  
Sio Teng Lam ◽  
...  

2016 ◽  
Vol 104 (2) ◽  
pp. 256-265 ◽  
Author(s):  
Hsiao-Wen Kao ◽  
Tung-Liang Lin ◽  
Lee-Yung Shih ◽  
Po Dunn ◽  
Ming-Chung Kuo ◽  
...  

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 5293-5293
Author(s):  
Lihua Zhong ◽  
Jianchao Wang ◽  
Yanping Chen ◽  
Weiqing Lin ◽  
Xiaoyan Liu ◽  
...  

Abstract Background: Angioimmunoblastic T-cell lymphoma (AITL) is an age-related malignant lymphoma, classified as a subtype of mature peripheral T-cell lymphoma. The 2016 revised WHO classification of lymphoid neoplasms proposed AITL as a nodal lymphoma derived from the T follicular helper cell. Extensive genomic analyses of AITL have discovered recurrent mutations in RHOA, TET2, DNMT3A, IDH2, and within genes of the T-cell receptor signaling pathway, with most studies being performed on patients in the Western hemisphere. We sought to define the mutational profile of AITL in Chinese patients. Methods: We collected 10 AITL biopsies from one center in China with confirmed pathologic diagnosis and treatment information. Diagnoses were independently confirmed by OrigiMed pathologists in all 10 AITL cases. Median cohort age at diagnosis was 61.1 years, and 60% (6/10) of the patients were older than 60 years. The male/female ratio was 8/2. In situ hybridization indicated Epstein-Barr virus positivity in 8/10 of AITL cases. DNA was extracted from formalin-fixed paraffin embedded samples, and targeted deep next generation sequencing (NGS) analyses were performed using the 450+ cancer genes panel. Results: Common and novel mutation features were revealed in this Chinese AITL analysis. As previously reported, TET2 mutations were found in 80% (8/10) of AITL patients (pts) with the highest mutation frequency, of which all the 8 pts harbored NMD/truncation and 6 pts harbored more than one mutation. RHOA mutations were seen in 60% (6/10) of cases, 4 cases were RHOA G17V while the other two were C16F and G17E/S26R, respectively. IDH2 R172 mutations were seen in 40% (4/10) of AITL cases. Co-occurring mutations of TET2 and RHOA were detected in the half of the cases (5/10), and 3 cases had concurrent TET2/RHOA/IDH2 mutations. DNMT3A mutations were seen in 30% (3/10) of AITLs cases, one case harbored two mutations including R882C. We also revealed novel mutation features. Recurrent mutations at histone modification genes included TIPARP (2 cases), KMT2C (2 cases), KMT2D (1 case). CRLF2 gene amplification was seen in a female patient. An intergenic PAX5 rearrangement was seen in 1 case along with MET and CFTR gene amplification. Tumor mutational burden (TMB) assessment indicated high TMB (>10 mutations/Mb) in the PAX5 rearrangement case while low TMB in the other nine cases. Discussion: The aim of our study was to reveal the genomic landscape of Chinese AITL. The cohort collection was unbiased, the patients' features were in concordance with previous reports that the disease of AITL is mostly found in the elderly (>60) and shows male predominance. Most cases were EBV-positive. Similar to prior studies, somatic mutations in TET2, RHOA, IDH2, and DNMT3A were found at varying frequencies sequentially of 80%, 60%, 40% and 30% in AITL. Co-occurring mutations of TET2/RHOA were found in 50%. RHOA G17V mutations were predominant mutations while we detected three rare sites in AITL including RHOA C16F, G17E and S26R, in which C16F and G17E were previously reported in other cancers. NGS studies have identified epigenetic modifiers mutations as a hallmark of AITL, highlighting an attractive therapeutic target in this disease. Notably, we also detected substitution mutations of histone modification genes including TIPARP, the mouse ortholog of which catalyzes histone poly(ADP-ribosyl)ation in 2 pts with one mutation previously reported in ovarian cancer; KMT2C in 2 pts with the mutations reported in other cancers. This is the first report TIPARP mutation in AITL. Another novel mutation feature was CRLF2 gene amplification and intergenic PAX5 rearrangement. These two genes are more often involved in B-cell related lymphoma/ leukemia, but our study discovered the gene abnormalities in AITL. The general low TMB is also consistent with other reports. In summary, this effort has identified novel mutation features in Chinese AITLs that can potentially lead to more effective treatments in Chinese population. Disclosures No relevant conflicts of interest to declare.


2013 ◽  
Vol 55 (4) ◽  
pp. 959-961
Author(s):  
Qian Zhu ◽  
Hong Wang ◽  
Jia Ruan ◽  
Lingchuan Guo ◽  
Shixiang Zhao ◽  
...  

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 40-41
Author(s):  
Samer A. Srour ◽  
Yago Nieto ◽  
Swaminathan P Iyer ◽  
Roberto N. Miranda ◽  
Farzaneh Maadani ◽  
...  

Introduction: Peripheral T-cell lymphoma (PTCL) comprises a heterogeneous group of rare neoplasms, the majority characterized by an aggressive course and short survival. Angioimmunoblastic T-cell lymphoma (AITL) is the second most common subtype (19%) of PTCLs, with generally poor long-term prognosis. The outcomes for most reported cases of AITL are derived from cohorts which include other PTCL subtypes. There is limited data for the role of autologous stem cell transplantation (ASCT) in AITL, and the associated predictive factors for prognosis. We present the largest single center cohort of AITL patients who underwent ASCT either upfront or at time of relapse. Methods: We included consecutive patients with AITL who had confirmed diagnosis and underwent ASCT at our institution from May 2000 to November 2019. Primary endpoints: progression free survival (PFS) and overall survival (OS). Secondary endpoints were cumulative incidence of relapse (CIR), non-relapse mortality (NRM), and to identify prognostic factors associated with PFS and OS. Kaplan-Meier method was used to estimate OS and PFS. CIR and NRM were determined using the competing risks method. Cox regression analyses were used to determine prognostic factors. Results: The study included 54 patients with a median age of 63 (range, 37-77) years and male predominance (57%). All patients had advanced stage III/IV at diagnosis. Additional patient and disease characteristics are outlined in Table 1. Carmustine, etoposide, cytarabine, and melphalan (BEAM) with (30%) or without (57%) rituximab (R; used at the discretion of treating physician for EBER-positive AITL) were the most commonly used preparative regimens. With a median follow-up of 47.4 (range, 7.1-142.2) months, the median PFS and OS of all study patients were 41 and 108 months, respectively. The 2- and 4-year PFS/OS were 58%/83% and 46%/65%, respectively. CIR of relapse at 1, 2, and 4 years were 30%, 34%, and 44%, respectively. NRM at 1, 2, and 4 years were 7.5%, 7.5%, and 10%, respectively. All variables listed in Table 1 were assessed for their prognostic impact in univariate analysis (UVA) for PFS and OS. Of those, transplant for relapsed AITL (HR 3.716 95% CI: 1.728-7.991; p=0.0008) and high LDH at transplant (HR 2.139, 95% CI: 1.023-4.471; p=0.0433) were significantly associated with worse PFS (Figure 1A, C). There was a tendency for improved PFS for women (HR 0.56, 95% CI: 0.259-1.209; p=0.1398) and patients who received R-BEAM conditioning (HR for BEAM 1.99, 95% CI: 0.808-4.899; p=0.1344). Similar UVA results were noted for OS, where transplant for relapsed AITL (HR 2.943, 95% CI: 1.173-7.382; p=0.0214) and high LDH at transplant (HR 2.771, 95% CI: 1.076-7.138; p=0.0348) were significantly associated with worse OS (Figure 1B, D). On multivariable analysis (MVA), transplant at relapse (HR 3.716 95% CI: 1.728-7.991; p=0.0008) was associated with inferior PFS (HR 3.038, 95% CI: 1.386-6.659; p=0.0055) and OS (HR 2.291, 95% CI: 1.054-4.979; p=0.0364). High LDH at transplant was associated with worse PFS (HR 2.291, 95% CI: 1.054-4.979; p=0.0364), and with a trend for inferior OS (HR 2.259, 95% CI: 0.838-6.093; p=0.1073). Only 10 (19%) patients were transplanted with active disease at transplant; disease status at transplant didn't have a significant impact on outcomes in UVA and MVA. A subset analysis subgrouping patients by 1 (n=33) vs 2 (n=16) vs &gt;2 (n=5) prior lines of therapy showed no significant difference in outcomes between 2 vs &gt;2 prior lines of therapy. Conclusions: Upfront ASCT is associated with significantly improved and durable survival in patients with AITL. Receiving more than one prior line of therapy (transplant for relapsed AITL) and elevated LDH at transplant are associated with very poor prognosis, for which allogeneic transplant and alternative novel therapies should be further explored. Disclosures Nieto: Secura Bio: Other: Grant Support; Astra Zeneca: Other: Grant Support; Novartis: Other: Grant Support; Affimed: Consultancy, Other: Grant Support. Popat:Bayer: Research Funding; Novartis: Research Funding. Qazilbash:Angiocrine: Research Funding; Janssen: Research Funding; Bioline: Research Funding; Amgen: Research Funding; Bioclinica: Consultancy. Shpall:Takeda: Other: Licensing Agreement; Novartis: Membership on an entity's Board of Directors or advisory committees; Magenta: Membership on an entity's Board of Directors or advisory committees; Zelluna: Membership on an entity's Board of Directors or advisory committees; Adaptimmune: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Flowers:Cancer Prevention and Research Institute of Texas: Research Funding; Karyopharm: Consultancy; Pharmacyclics/Janssen: Consultancy; Eastern Cooperative Oncology Group: Research Funding; Burroughs Wellcome Fund: Research Funding; TG Therapeutics: Research Funding; Millennium/Takeda: Consultancy, Research Funding; Acerta: Research Funding; Spectrum: Consultancy; National Cancer Institute: Research Funding; V Foundation: Research Funding; Kite: Research Funding; Bayer: Consultancy; Leukemia and Lymphoma Society: Membership on an entity's Board of Directors or advisory committees; Genentech, Inc./F. Hoffmann-La Roche Ltd: Consultancy, Research Funding; Denovo Biopharma: Consultancy; Celgene: Consultancy, Research Funding; BeiGene: Consultancy; AbbVie: Consultancy, Research Funding; Gilead: Consultancy, Research Funding; OptumRx: Consultancy. Champlin:Johnson and Johnson: Consultancy; DKMS America: Membership on an entity's Board of Directors or advisory committees; Genzyme: Speakers Bureau; Cytonus: Consultancy; Omeros: Consultancy; Takeda: Patents & Royalties; Actinium: Consultancy. Hosing:NKARTA Inc.: Consultancy. Khouri:Bristol Myers Squibb: Research Funding; Pfizer: Research Funding.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3117-3117
Author(s):  
Takashi Tokunaga ◽  
Kazuyuki Shimada ◽  
Kazuhito Yamamoto ◽  
Dai Chihara ◽  
Takuji Ichihashi ◽  
...  

Abstract Abstract 3117 Background: Angioimmunoblastic T-cell lymphoma (AITL) is one of the major types of peripheral T-cell lymphoma (PTCL), with T follicular helper cells (TFH) reported to be the normal counterpart cell type. The disease generally presents with poor prognosis following conventional chemotherapy treatments. Furthermore, existing prognostic factors or predictive models for non-Hodgkin lymphoma are not useful in the prognostification of AITL. Identification of novel prognostic factors is therefore vital. Unfortunately, the number of studies using a large cohort of patients with AITL has so far been limited. Patients and Method: To elucidate the clinicopathological characteristics of AITL in Japan, we retrospectively analyzed 213 patients who were diagnosed with AITL between January 1990 and September 2008 from 31 participating hospitals. Patients with AITL were eligible for analysis only if their diagnosis was confirmed by histopathological and immunohistochemical criteria in accordance with the WHO classification. For immunohistochemical analysis, we evaluated CD10, CXCL13, PD-1 and EBER-ISH in addition to routine immunostaining. Clinical data was retrospectively collected from case reports. Patients received treatment for AITL according to the respective institutional protocols. Overall survival (OS) and progression free survival (PFS) were analyzed by using the log-rank test, and results expressed as Kaplan-Meier plots. Cox proportional hazard regression analysis with OS and PFS was performed to identify potential independent prognostic factors. This study was approved by the institutional review board of participating hospitals and complied with the provisions of the Declaration of Helsinki. Result: The median patient age was 67 years (range: 34–89 years), with 74% of patients older than 60 years. The female:male ratio was 1:1.8. Ninety percent of patients displayed Stage III or IV disease, and 23% of patients involved more than 1 extranodal site. B-symptoms and bone marrow involvement were present in 60% and 30% of patients, respectively. Laboratory findings showed anemia (male: Hb <13.0 g/dl, female: Hb <11.0 g/dl) in 61% of patients, a positive Coombs test in 47%, hypergammaglobulinemia (IgG >1700 mg/dl) in 54%, IgA >400 mg/dl in 37%, and elevated serum LDH levels in 75% of patients, respectively. According to the international prognostic index (IPI) and prognostic index for PTCL-NOS (PIT) score, patients were categorized as follows; IPI: Low (L), 10% (22/199); Low-intermediate (LI), 20% (39/199); High-intermediate (HI), 39% (77/199); and High (H), 31% (61/199), respectively, and PIT: Group1 (G1), 4% (8/201); Group2 (G2), 19% (38/201); Group3, 42% (85/201); and Group4, 35% (70/201), respectively. In terms of the initial series of treatments, 84% of patients received anthracycline-based chemotherapies. With a median follow-up duration of 42 months in surviving patients, 3-year OS and PFS were 54% and 39%, respectively. IPI was predictive for OS (3-years OS: L, 84%; LI, 65%; HI, 54%; H, 38%; Log-rank test, p<0.001), however, PIT was less predictive than IPI according to the distribution of the number of patients and survival in each group (3-years OS: G1, 88%; G2, 65%; G3, 57%; G4, 42%; Log-rank, p=0.014). Immunohistochemical staining revealed positivity for CD10 in 31% (40/130), EBER-ISH in 68% (108/160), CXCL13 in 92% (76/83), and PD-1 in 61% of patients (51/83), respectively. Multivariate analysis revealed total protein (TP) (<6.5 g/dl), {hazard ratio (HR), 2.12; 95% confidence interval (CI), 1.20–3.72; p=0.010}, IgA (>400 mg/dl) (HR, 2.00; 95% CI, 1.19–3.34; p=0.009), anemia (male, Hb <13.0 g/dl; female, Hb <11.0 g/dl) (HR, 1.95; 95% CI, 1.11–3.52; p=0.020), CRP (>1.0 mg/dl) (HR, 1.84; 95% CI, 1.05–3.35; p=0.033), and performance status (>2) (HR, 1.73; 95% CI, 1.03–2.92; p=0.040) were identified as significant prognostic factors for OS. IgA (HR, 1.94; 95% CI, 1.25–2.98; p=0.003), and anemia (HR, 1.65; 95% CI, 1.03–2.66; p=0.036) were significant prognostic factors for PFS. Conclusion: Prognosis of patients with AITL in Japan is poor. Although IPI was useful in prognostification of AITL, other factors including those not adopted in IPI, such as IgA, anemia, TP and CRP, significantly affected the prognosis in this analysis. Further validation studies of these criteria should be performed. Disclosures: Naoe: Chugai Pharmaceutical Co.,Ltd.: Research Funding; Zenyaku Kogyo Co.: Research Funding; Kyowa Hakko Kirin Co.,Ltd.: Research Funding; Dainippon Sumitomo Pharma Co.,Ltd.: Research Funding; Novartis Pharma K.K.: Research Funding; Janssen Pharmaceutical K.K.: Research Funding. Kinoshita:Chugai Pharmaceutical Co.,Ltd.: Research Funding; Zenyaku Kogyo Co.: Research Funding; Kyowa Hakko Kirin Co.,Ltd.: Research Funding.


Blood ◽  
2012 ◽  
Vol 119 (12) ◽  
pp. 2837-2843 ◽  
Author(s):  
Takashi Tokunaga ◽  
Kazuyuki Shimada ◽  
Kazuhito Yamamoto ◽  
Dai Chihara ◽  
Takuji Ichihashi ◽  
...  

Abstract Angioimmunoblastic T-cell lymphoma (AITL) is a major type of peripheral T-cell lymphoma (PTCL). To elucidate the clinicopathologic characteristics and prognosis of AITL in Japan, we retrospectively analyzed 207 patients with AITL. The median patient age was 67 years (range, 34-91 years), with 73% of patients older than 60 years. With a median follow-up of 42 months in surviving patients, 3-year overall survival (OS) was 54% and progression-free survival (PFS) was 38%. The International Prognostic Index (IPI) and the prognostic index for PTCL, not otherwise specified (PIT) were predictive for OS in this analysis. Multivariate analysis found that age older than 60 years, elevated white blood cell (WBC) and IgA levels, the presence of anemia and thrombocytopenia, and extranodal involvement at > 1 site were significant prognostic factors for OS, and IgA, anemia, and mediastinal lymphadenopathy were significant prognostic factors for PFS. A novel prognostic model consisting of the prognostic factors for OS was successfully constructed. In conclusion, IPI and PIT were still useful for prognostication of AITL, and other factors, including those not used in IPI, such as IgA, anemia, WBC count, thrombocytopenia, and mediastinal lymphadenopathy, also significantly affected prognosis. Future investigations for IgA as a unique prognostic factor are warranted.


Sign in / Sign up

Export Citation Format

Share Document