Ki-67 expression is predictive of prognosis in patients with stage I/II extranodal NK/T-cell lymphoma, nasal type

S. J. Kim, B. S. Kim, C. W. Choi, J. Choi, I. Kim, Y. H. Lee, J. S. Kim

Research output: Contribution to journalArticlepeer-review

90 Citations (Scopus)

Abstract

Background: Localized extranodal natural killer (NK)/T-cell lymphoma, nasal type, commonly has a low or low-intermediate risk of the international prognostic index (IPI), so the IPI has shown inconsistency in predicting prognosis. Thus, we analyzed Ki-67 expression and proposed a new prognostic model including Ki-67 expression for stage I/II extranodal NK/T-cell lymphoma. Patients and methods: We studied Ki-67 expression and its relationship with prognosis in 50 patients with extranodal NK/T-cell lymphoma. Results: The patients were dichotomized by the median value: low (< 65%) versus high Ki-67 (≥ 65%). High Ki-67 was associated with a worse overall survival (OS; P = 0.021) and disease-free survival (DFS; P = 0.044). In multivariate analysis, Ki-67 expression and primary site of involvement were found to be an independent prognostic factor for OS and DFS (P < 0.05). Based on these results, we proposed a new clinico-pathological prognostic model with Ki-67 expression and the primary site of involvement. It showed a high degree of correlation with worse OS and DFS (P < 0.001). Conclusions: Ki-67 expression is predictive of prognosis, and our prognostic model may become a useful tool for predicting prognosis in patients with stage I/II extranodal NK/T-cell lymphoma, nasal type.

Original languageEnglish
Pages (from-to)1382-1387
Number of pages6
JournalAnnals of Oncology
Volume18
Issue number8
DOIs
Publication statusPublished - 2007 Aug

Keywords

  • Extranodal lymphoma
  • Ki-67
  • NK/T cell
  • Prognosis

ASJC Scopus subject areas

  • Hematology
  • Oncology

Fingerprint

Dive into the research topics of 'Ki-67 expression is predictive of prognosis in patients with stage I/II extranodal NK/T-cell lymphoma, nasal type'. Together they form a unique fingerprint.

Cite this