Extranodal Natural Killer T-Cell Lymphoma, Nasal-Type: A Prognostic Model From a Retrospective Multicenter Study

Jeeyun Lee(University of Ulsan), Cheolwon Suh(University of Ulsan), Yeon Hee Park(University of Ulsan), Young Hyeh Ko(University of Ulsan), Soo‐Mee Bang(University of Ulsan), Jae Hoon Lee(University of Ulsan), Dae Ho Lee(University of Ulsan), Jooryung Huh(University of Ulsan), Sung Yong Oh(University of Ulsan), Hyuk-Chan Kwon(University of Ulsan), Hyo Jin Kim(University of Ulsan), Soon Il Lee(University of Ulsan), Hyun Jung Kim(University of Ulsan), Jinny Park(University of Ulsan), Seok Joong Oh(University of Ulsan), Kihyun Kım(University of Ulsan), Chul-Won Jung(University of Ulsan), Keunchil Park(University of Ulsan), Won Seog Kim(University of Ulsan)
Journal of Clinical Oncology
December 28, 2005
Cited by 614Open Access
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Abstract

PURPOSE: Patients with natural killer T (NK/T) -cell lymphomas have poor survival outcome, and for this condition there is no optimal therapy. The purpose of this study was to design a prognostic model specifically for extranodal NK/T-cell lymphoma, which can identify high-risk patients who need more aggressive therapy. PATIENTS AND METHODS: This multicenter retrospective study was comprised of 262 patients who were diagnosed with NK/T-cell lymphoma. RESULTS: After a median follow-up duration of 51.2 months, 5-year overall survival rate in 262 patients was 49.5%. Prognostic factors for survival were "B" symptoms (P = .0003; relative risk, 2.202; 95% CI, 1.446 to 3.353), stage (P = .0006; relative risk, 2.366; 95% CI, 1.462 to 3.828), lactate dehydrogenase (LDH) level (P = .0005; relative risk, 2.278; 95% CI, 1.442 to 3.598), and regional lymph nodes (P = .0044; relative risk, 1.546; 95% CI, 1.009 to 2.367). Of 262 patients, 219 had complete information on four parameters. We identified four different risk groups: group 1, no adverse factor; group 2, one factor; group 3, two factors; and group 4, three or four factors. The new model showed a superior prognostic discrimination as compared with the International Prognostic Index (IPI). Notably, the distribution of patients was balanced when a new model was adopted (group 1, 27%; group 2, 31%; group 3, 20%; group 4, 22%), whereas 81% of patients were categorized as low or low-intermediate risks using IPI. CONCLUSION: The newly proposed model for extranodal NK/T-cell lymphoma demonstrated a more balanced distribution of patients into four groups with better prognostic discrimination as compared with the IPI.


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