Literature DB >> 32066865

A proposal for a new staging system for extranodal natural killer T-cell lymphoma: a multicenter study from China and Asia Lymphoma Study Group.

Huangming Hong1,2, Yexiong Li3, Soon Thye Lim4, Chaoyong Liang5, He Huang1, Pingyong Yi6, Tao Wu7, Xin Du8, Mingzhi Zhang9, Jinghua Wang10, Jun Zhu11, Ting Liu12, Fanyi Meng13, Gang Wu14, Ye Guo15, Yuan Zhu16, Weili Zhao17, Jie Jin18, Juan Li19, Yanming Deng20, Kangsheng Gu21, Xiangyuan Wu22, Xiaoyan Ke23, Derong Xie2, Daren Lin24, Zhigang Peng25, Junxin Wu26, Qing Liu27, Won Seog Kim28, Tongyu Lin29.   

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Year:  2020        PMID: 32066865      PMCID: PMC7387308          DOI: 10.1038/s41375-020-0740-1

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


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To the Editor:

Extranodal natural killer T-cell lymphoma (ENKTL) is a distinct entity in the World Health Organization (WHO) classification. Patients suffering from this type of disease have poor survival outcomes [1-7]. However, using the Ann Arbor staging system (AASS), a routine lymphoma staging system, most ENKTL patients are categorized as early stage, which is inconsistent with their poor survival [1, 8–12]. Since the AASS has limited utility in the prognostication and treatment decision making for patients with ENKTL, this study aimed to develop a new staging system specific for ENKTL that can effectively identify patients with poor prognosis and provide information for personalized therapy. There were three components of this study: a training cohort consisting of two stages and a validation cohort. In the training cohort, we first conducted a retrospective study of ENKTL patients treated with cyclophosphamide, doxorubicin, vincristine, and prednisolone (CHOP) or CHOP-like regimens or radiotherapy (RT) alone between Jan 1999 and Jun 2008 in 19 hospitals in China, with the aim to identify high-risk factors for proposing the new staging system: the Chinese Southwest Oncology Group and Asia Lymphoma Study Group ENKTL (CA) system. Second, we conducted a prospective study of patients treated with asparaginase-based regimens or RT between Jul 2008 and Dec 2012 in the same 19 hospitals to determine whether the CA system was suitable in the era of asparaginase-based treatment. Based on the results of retrospective study and prospective study, the final form of the CA system was established. To validate the results from the training cohort, we performed an independent validation cohort study between Jan 2010 and Dec 2017 with the same inclusion and exclusion criteria using data obtained from Samsung Medical Center in South Korea, the National Cancer Center in Singapore and five hospitals in China, that were not included in the training cohort. The inclusion criteria were: (1) central pathologically confirmed diagnosis of ENKTL according to the 2008 WHO classification of lymphomas; (2) treatment with chemotherapy with or without radiotherapy or with RT alone with curative intent; and (3) availability of all clinical data required for staging and survival analyses. Local invasiveness was defined as invasion of the bone or perforation or invasion of the skin or paranasal extension as previously reported [9]. Regional lymph node involvement was defined as the invasion of lymph nodes corresponding to N1, N2, or N3 of the primary lesion in accordance with 2002 TNM classification of the American Joint Committee on Cancer. The nasal and nonnasal types were defined based on the involvement of the nasal area, as reported previously [5]. The Institutional Review Board of Sun Yat-sen University Cancer Center (Guangzhou, China) reviewed and approved all aspects of this study. The statistical methods are summarized in Supplementary Appendix. The CONSORT flow of the study was shown in Supplementary Fig. 1. The training cohort included 1168 patients. Table 1 summarizes the characteristics of the patients. In the retrospective study, patients with lesions confined to the nasal cavity or nasopharynx without local tumor invasiveness showed a superior 5-year overall survival (OS) rate than patients with lesions complicated by local tumor invasiveness (59.7% vs. 48.1%, P = 0.01). Those with nonnasal-type disease without lymph node involvement had a lower 5-year OS rate than those with nasal-type disease without lymph node involvement (56.7% vs. 40.1%, P < 0.01). Thus, patients with nonnasal-type disease or lesions confined to the nasal cavity or nasopharynx complicated by local tumor invasiveness were classified as stage II. Patients harboring lesions with regional lymph node involvement exhibited a lower 5-year OS rate than those without regional lymph node involvement (34.7% vs. 52.3%, P < 0.01). Thus, patients harboring lesions with regional lymph node involvement were categorized as stage III. Further, patients with non-regional lymph node involvement or lymph node involvement on both sides of the diaphragm or disseminated disease did not show 5-year OS rate difference (26.5% vs. 27.1% vs. 25.7%, P = 0.342), these patients were classified as stage IV. Thus, we propose that the CA be stratified as follows: stage I, lesions confined to the nasal cavity or nasopharynx without local invasiveness and lymph node involvement; stage II, nonnasal-type disease or lesions confined to the nasal cavity or nasopharynx with local invasiveness without lymph node involvement; stage III, lesions with regional lymph node involvement; and stage IV, involvement of nonregional lymph node or lymph nodes on both sides of the diaphragm or disseminated disease. In the retrospective study involving patients who received CHOP-like treatment, the CA effectively discriminated survival; we then performed the prospective study and found that CA also effectively in discriminating the survival of patients who received asparaginase-based treatment.
Table 1

Comparison of characteristics between the validation and training cohorts.

CharacteristicTraining cohort n = 1168, no. (%)Validation cohort n = 985, no. (%)P
Age, years0.719
 ≤60985 (84.3)837 (85.0)
 >60183 (15.7)148 (15.0)
Sex0.166
 Male804 (68.8)650 (66.0)
 Female364 (31.2)335 (34.0)
ECOG PS0.237
 0–11061 (90.8)896 (91.0)
 2–487 (9.2)89 (9.0)
“B” symptoms0.242
 Absent570 (48.8)455 (46.2)
 Present598 (51.2)530 (53.8)
Serum LDH level0.510
 Normal822 (70.5)680 (69.0)
 Elevated346 (29.6)305 (31.0)
IPI0.377
 0–1869 (74.4)716 (72.7)
 2–5299 (25.6)269 (27.3)
NK prognostic index0.189
 1–2690 (59.1)554 (56.2)
 3–4478 (40.9)431 (43.8)
Local invasiveness0.405
 Absent688 (58.9)562 (57.1)
 Present480 (41.1)423(42.9)
Nonnasal type0.498
 Yes162 (13.9)147 (14.9)
 No1006 (86.1)838 (85.1)
Regional lymph-node involvement0.500
 Absent950 (81.3)813 (82.5)
 Present218 (18.7)172 (17.5)
Bone marrow involvement0.441
 Absent1093 (93.6)913 (92.7)
 Present75 (6.4)72 (7.3)
Ann Arbor staging system stage0.492
 I–II961 (82.3)822 (83.5)
 III–IV207 (17.7)163 (16.5)
WBC count0.232
 >4000 per mm3954 (81.7)824 (83.7)
 <4000 per mm3214 (18.3)161 (16.3)
Hb level0.869
 >110 g/L945 (80.9)800 (81.2)
 <110 g/L223 (19.1)185 (18.8)
Platelet count0.877
 >100,000 per mm31070 (91.6)900 (91.4)
 <100,000 per mm398 (8.4)85 (8.6)
Absolute lymphocyte count0.165
 >1000 per mm3808 (69.2)653 (66.3)
 <1000 per mm3360 (30.8)332 (33.7)
Serum albumin level0.240
 >35 g/L965 (82.6)794 (80.6)
 <35 g/L203 (17.4)191 (19.4)
Treatment regimens
Anthracycline-based<0.001
 RT alone200 (23.1)20 (4.5)
 CHOP502 (58.1)318 (71.1)
 CHOP-like162 (18.8)109 (24.4)
Asparaginase-based0.070
 RT alone82 (30.0)186 (34.6)
 SMILE-like49 (16.1)73 (13.6)
 Platinum containing173 (56.9)279 (51.8)

Local invasiveness was defined in the text.

ECOG PS eastern cooperative oncology group performance status, LDH lactate dehydrogenase, IPI International Prognostic Index, NK natural killer, WBC white blood cell, Hb hemoglobin, RT radiotherapy, CHOP cyclophosphamide, doxorubicin, vincristine, and prednisolone, SMILE dexamethasone, methotrexate, ifosfamide, l-asparaginase, and etoposide.

Comparison of characteristics between the validation and training cohorts. Local invasiveness was defined in the text. ECOG PS eastern cooperative oncology group performance status, LDH lactate dehydrogenase, IPI International Prognostic Index, NK natural killer, WBC white blood cell, Hb hemoglobin, RT radiotherapy, CHOP cyclophosphamide, doxorubicin, vincristine, and prednisolone, SMILE dexamethasone, methotrexate, ifosfamide, l-asparaginase, and etoposide. According to the AASS, the patient distribution in the training cohort from stages I through IV was 61.8%, 20.4%, 5.7%, and 12.1%, respectively. However, according to the CA system, the distribution was 27.4%, 35.2%, 18.7%, and 18.7%, respectively, from stages I through IV (Supplementary Table 1). The 5-year OS rate for the training cohort was 52.4% (95% confidence interval (CI) 48.9–55.9), and the 5-year progression-free survival (PFS) rate was 49.0% (95% CI 45.5–52.5). In the training cohort, the CA system exhibited good patient stratification, with 5-year OS rates of 70.8%, 53.1%, 38.6%, and 29.9% for stages I through IV (P < 0.001), respectively, and 5-year PFS rates of 67.5%, 52.6%, 35.6%, and 21.1% (P < 0.001), respectively. Alternatively, the 5-year OS rates were 60.7%, 42.9%, 17.5%, and 32.1% for AASS stages I through IV (P < 0.001), respectively, and the 5-year PFS rates were 59.1%, 38.3%, 10.4%, and 22.4% (P < 0.001), respectively (Fig. 1a–d). For patients receiving CHOP-like treatment who were diagnosed with CA stages I through IV, the 5-year OS rates also showed reasonable declines; however, when diagnosed using the AASS, the survival of staging IV was better than that of staging III (Supplementary Fig. 2a, b). This result was similar for patients receiving asparaginase-based treatment (Supplementary Fig. 2c, d).
Fig. 1

The OS and PFS of the training cohort and the validation cohort.

a OS staging using the AASS for the training cohort. b OS staging using the CA system for the training cohort. c PFS staging using the AASS for the training cohort. d PFS staging using the CA system for the training cohort. e OS staging using the AASS for the validation cohort. f OS staging using the CA system for the validation cohort. g PFS staging using the AASS for the validation cohort. h PFS staging using the CA system for the validation cohort.

The OS and PFS of the training cohort and the validation cohort.

a OS staging using the AASS for the training cohort. b OS staging using the CA system for the training cohort. c PFS staging using the AASS for the training cohort. d PFS staging using the CA system for the training cohort. e OS staging using the AASS for the validation cohort. f OS staging using the CA system for the validation cohort. g PFS staging using the AASS for the validation cohort. h PFS staging using the CA system for the validation cohort. Patients from Singapore (n = 114), South Korea (n = 102), and China (n = 769) were included in the independent validation cohort, the 5-year OS rate was 50.4% (95% CI 46.1–54.7), and the 5-year PFS rate was 46.0% (95% CI 41.7–50.3) in this cohort. The CA system effectively stratified the OS and PFS for all 985 patients. (Fig. 1e–h). In the receiver operating characteristic (ROC) analysis, the CA system better discriminated survival than the AASS in the training cohort (area under the curve (AUC), 0.68 vs. 0.60, P = 0.013) and the validation cohort (AUC, 0.70 vs. 0.61, P = 0.032). For all 842 patients who received asparaginase-based treatment in the training cohort and validation cohort, the prognostic index of natural killer lymphoma (PINK) [13] could stratify the survival according to different risk groups (Supplementary Fig. 3). However, the ROC analysis of CA system was superior than PINK (AUC, 0.71 vs. 0.64, P = 0.031). For the 842 asparaginase-based treatment patients, for CA stage I, the 5-year OS rates for RT and chemotherapy combined with radiotherapy were similar (81.6% vs. 85.8%, P = 0.248). For CA stage II, RT resulted in the lowest 5-year OS rate of 70.1%, while concurrent chemoradiotherapy (CCRT), induction chemotherapy followed by radiotherapy, or concurrent chemotherapy (CT + CCRT/RT) and CCRT followed by adjuvant chemotherapy (CCRT + CT) showed similar 5-year OS rates (75.2%, 82.3%, and 76.7%, respectively, P = 0.754). Patients with CA stage III receiving CT + CCRT/RT exhibited the highest 5-year OS rate of 73.5%, CCRT + CT and CCRT had moderate 5-year OS rates of 67.0% and 55.3%, respectively, and those receiving RT had the lowest 5-year OS of 32.3% (P < 0.001). For CA stage IV, patients receiving autologous transplantation after chemotherapy did not show superior survival than those who did not (57.1% vs. 23.5%, P = 0.174) (Supplementary Fig. 4). The AASS could not reasonably stratify the survival of ENKTL patients, since the survival of patients with stage IV was better than that of stage III. Less than 10% of patients were classified as stage III by the AASS, the highly unbalanced distribution may produce unavoidable survival bias. Yan et al. [14] recently suggested a TNM staging system for ENKTL. However, that study was performed at a single-center, focused only on nasal patients, and the majority of patients enrolled received anthracycline chemotherapy, thus limiting the generalizability of that staging system. Currently, PINK is used to predict prognosis, but factors including the stage and lymph node involvement in this index are traditionally classified as part of the staging system. Thus, the application of PINK should depending on patient’s general characteristics and staging factors. The CA system was established based on anatomic factors and can efficiently classify patients into different stages. The anatomic factors can be conveniently examined through imaging examinations. Moreover, the ROC analysis suggested that CA staging system is superior to AASS and PINK. In terms of guiding contemporary asparaginase-based treatment, our study recommended RT for stage I; chemotherapy combined with radiotherapy for stage II; CT + CCRT/RT for stage III; and intensive chemotherapy for stage IV. However, the treatment regimens in our study were varied, validation in a second data set is needed, most preferable in a prospective manner. The CA system demonstrated better survival discrimination than the AASS, and might add prognostic value and inform treatment decisions for ENKTL. It is crucial to accurately identify high-risk patients to improve outcomes in this subset of lymphoma. Statistical analysis Patient distribution according to the different staging systems Supplementary Figures Legends Supplementary Figure 1–4
  14 in total

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Authors:  Xi-Wen Bi; Ye-Xiong Li; Hui Fang; Jing Jin; Wei-Hu Wang; Shu-Lian Wang; Yue-Ping Liu; Yong-Wen Song; Hua Ren; Jian-Rong Dai
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2.  SMILE for natural killer/T-cell lymphoma: analysis of safety and efficacy from the Asia Lymphoma Study Group.

Authors:  Yok-Lam Kwong; Won Seog Kim; Soon Thye Lim; Seok Jin Kim; Tiffany Tang; Eric Tse; Anskar Y H Leung; Chor-Sang Chim
Journal:  Blood       Date:  2012-08-23       Impact factor: 22.113

3.  Induction treatment with SMILE and consolidation with autologous stem cell transplantation for newly diagnosed stage IV extranodal natural killer/T-cell lymphoma patients.

Authors:  Seok Jin Kim; Silvia Park; Eun Suk Kang; Joon Young Choi; Do Hoon Lim; Young Hyeh Ko; Won Seog Kim
Journal:  Ann Hematol       Date:  2014-08-02       Impact factor: 3.673

4.  Extranodal natural killer T-cell lymphoma, nasal-type: a prognostic model from a retrospective multicenter study.

Authors:  Jeeyun Lee; Cheolwon Suh; Yeon Hee Park; Young H Ko; Soo Mee Bang; Jae Hoon Lee; Dae Ho Lee; Jooryung Huh; Sung Yong Oh; Hyuk-Chan Kwon; Hyo Jin Kim; Soon Il Lee; Jung Han Kim; Jinny Park; Seok Joong Oh; Kihyun Kim; Chulwon Jung; Keunchil Park; Won Seog Kim
Journal:  J Clin Oncol       Date:  2005-12-27       Impact factor: 44.544

5.  Local tumor invasiveness is more predictive of survival than International Prognostic Index in stage I(E)/II(E) extranodal NK/T-cell lymphoma, nasal type.

Authors:  Tae Min Kim; Yeon Hee Park; Sang-Yoon Lee; Ji-Hoon Kim; Dong-Wan Kim; Seock-Ah Im; Tae-You Kim; Chul Woo Kim; Dae Seog Heo; Yung-Jue Bang; Kee-Hyun Chang; Noe Kyeong Kim
Journal:  Blood       Date:  2005-08-18       Impact factor: 22.113

6.  The Glasgow Prognostic Score (GPS) as a novel and significant predictor of extranodal natural killer/T-cell lymphoma, nasal type.

Authors:  Ya-Jun Li; Wen-Qi Jiang; Jia-Jia Huang; Zhong-Jun Xia; Hui-Qiang Huang; Zhi-Ming Li
Journal:  Am J Hematol       Date:  2013-03-27       Impact factor: 10.047

7.  Clinical heterogeneity of extranodal NK/T-cell lymphoma, nasal type: a national survey of the Korean Cancer Study Group.

Authors:  T M Kim; S-Y Lee; Y K Jeon; B-Y Ryoo; G J Cho; Y S Hong; H J Kim; S-Y Kim; C S Kim; S Kim; J S Kim; S K Sohn; H H Song; J L Lee; Y K Kang; C Y Yim; W S Lee; Y J Yuh; C W Kim; D S Heo
Journal:  Ann Oncol       Date:  2008-04-02       Impact factor: 32.976

8.  Early stage nasal NK/T-cell lymphoma: clinical outcome, prognostic factors, and the effect of treatment modality.

Authors:  Michael M C Cheung; John K C Chan; Wai-hon Lau; Roger K C Ngan; William W L Foo
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-09-01       Impact factor: 7.038

9.  Quantification of circulating Epstein-Barr virus DNA in NK/T-cell lymphoma treated with the SMILE protocol: diagnostic and prognostic significance.

Authors:  Y-L Kwong; A W K Pang; A Y H Leung; C-S Chim; E Tse
Journal:  Leukemia       Date:  2013-07-11       Impact factor: 11.528

10.  A TNM Staging System for Nasal NK/T-Cell Lymphoma.

Authors:  Zheng Yan; Hui-qiang Huang; Xiao-xiao Wang; Yan Gao; Yu-jing Zhang; Bing Bai; Wei Zhao; Wen-qi Jiang; Zhi-ming Li; Zhong-jun Xia; Su-xia Lin; Chuan-miao Xie
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

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1.  A proposal for a prognostic index for non-nasal type natural killer/T cell lymphoma after asparaginase-based treatment.

Authors:  Zegeng Chen; Xiaojie Fang; He Huang; Zhao Wang; Huangming Hong; Meiting Chen; Quanguang Ren; Yuyi Yao; Limei Zhang; Ying Tian; Suxia Lin; Tongyu Lin
Journal:  Ann Hematol       Date:  2020-09-25       Impact factor: 3.673

2.  Correlation between the prevalence of T-cell lymphomas and alcohol consumption.

Authors:  Minodora Desmirean; Cedric Richlitzki; Sergiu Pasca; Patric Teodorescu; Bobe Petrushev; Sebastian Rauch; Jacob Steinheber; Sabina Iluta; Jiaxin Liu; Delia Dima; Ravnit Grewal; Weina Ma; Liren Qian; Ciprian Tomuleasa
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3.  The clinical characteristics and prognostic factors of 410 patients with natural killer/T-cell lymphoma.

Authors:  Zhenchang Sun; Wenjuan Wan; Xudong Zhang; Lei Zhang; Xin Li; Ling Li; Xinhua Wang; Feifei Nan; Hui Yu; Yu Chang; Jiaqin Yan; Zhaoming Li; Fangfang Cui; Jurui Ge; Yaqin Duo XiaXu; Xia Xu; Xiaorui Fu; Mingzhi Zhang
Journal:  J Cancer Res Clin Oncol       Date:  2022-07-20       Impact factor: 4.322

Review 4.  How we treat NK/T-cell lymphomas.

Authors:  Eric Tse; Wei-Li Zhao; Jie Xiong; Yok-Lam Kwong
Journal:  J Hematol Oncol       Date:  2022-06-03       Impact factor: 23.168

Review 5.  Extranodal Natural Killer/T-cell Lymphoma, Nasal Type: Diagnosis and Treatment.

Authors:  Jaap A van Doesum; Anne G H Niezink; Gerwin A Huls; Max Beijert; Arjan Diepstra; Tom van Meerten
Journal:  Hemasphere       Date:  2021-01-12

6.  Selection of optimal therapeutic modality for early-stage extranodal natural killer/T-cell lymphoma patients under the guidance of single-nucleotide polymorphism signature.

Authors:  Zhe-Sheng Chen; Dong-Hua Yang
Journal:  Bosn J Basic Med Sci       Date:  2022-04-01       Impact factor: 3.363

7.  Evaluation of different staging systems and prognostic analysis of nasal-type extranodal NK/T-cell lymphoma based on consistent LVDP chemotherapy regimen.

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8.  [How I diagnose and treat NK/T cell lymphoma].

Authors:  W L Zhao; M C Cai; H J Zhong
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9.  New prognostic models for extranodal natural killer T-cell lymphoma, nasal-type using Cox regression and machine learning.

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Journal:  Transl Cancer Res       Date:  2021-02       Impact factor: 1.241

Review 10.  NK-/T-cell lymphomas.

Authors:  Hua Wang; Bi-Bo Fu; Robert Peter Gale; Yang Liang
Journal:  Leukemia       Date:  2021-06-11       Impact factor: 11.528

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