4.5 Article

New prognostic model for extranodal natural killer/T cell lymphoma, nasal type

Journal

ANNALS OF HEMATOLOGY
Volume 93, Issue 9, Pages 1541-1549

Publisher

SPRINGER
DOI: 10.1007/s00277-014-2089-x

Keywords

Extranodal natural killer/Tcell lymphoma; Prognostic model; Total protein; Fasting blood glucose; Korean Prognostic Index

Categories

Funding

  1. National Nature Science Foundation of China [81372883, 81001052]
  2. Science and Technology Planning Project of Guangdong Province, China [2011B031800222]
  3. Young Talents Project of Sun Yat-sen University Cancer Center
  4. Young Talents Project of Sun Yat-sen University
  5. Natural Science Foundation of Guangdong Province, China [8151008901000043]
  6. NIH through MD Anderson's Cancer Center Support Grant [CA016672]

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Extranodal natural killer/T cell lymphoma, nasal type (ENKTL) is an aggressive disease with a poor prognosis, requiring risk stratification in affected patients. We designed a new prognostic model specifically for ENKTL to identify high-risk patients who need more aggressive therapy. We retrospectively reviewed 158 patients who were newly diagnosed with ENKTL. The estimated 5-year overall survival rate was 39.4 %. Independent prognostic factors included total protein (TP) < 60 g/L, fasting blood glucose (FBG) > 100 mg/dL, and Korean Prognostic Index (KPI) score a parts per thousand yen2. We constructed a new prognostic model by combining these prognostic factors: group 1 (64 cases (41.0 %)), no adverse factors; group 2 (58 cases (37.2 %)), one adverse factor; and group 3 (34 cases (21.8 %)), two or three adverse factors. The 5-year overall survival (OS) rates of these groups were 66.7, 23.0, and 5.9 %, respectively (p < 0.001). Our new prognostic model had a better prognostic value than did the KPI model alone (p < 0.001). Our proposed prognostic model for ENKTL, including the newly identified prognostic indicators, TP and FBG, demonstrated a balanced distribution of patients into different risk groups with better prognostic discrimination compared with the KPI model alone.

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