Literature DB >> 26918738

A new prognostic model using absolute lymphocyte count in patients with primary central nervous system lymphoma.

Ji Eun Jang1, Yu Ri Kim1, Soo-Jeong Kim1, Hyunsoo Cho1, Haerim Chung1, Jung Yeon Lee1, Hyunsung Park1, Yundeok Kim1, June-Won Cheong1, Yoo Hong Min1, Jin Seok Kim2.   

Abstract

PURPOSE: Primary central nervous system lymphoma (PCNSL) is an aggressive and rare extranodal non-Hodgkin lymphoma (NHL). Absolute lymphocyte count (ALC) has been suggested to have a prognostic value in several subtypes of NHL. We evaluated the prognostic significance of clinical factors, including ALC, in patients with PCNSL to develop a new prognostic model.
METHODS: We analysed prognostic factors, including ALC, at diagnosis in 81 PCNSL patients receiving high-dose methotrexate-based therapy.
RESULTS: The median ALC at diagnosis was 1210 × 10(6)/L (range, 210-3610), with lymphopenia (≤ 875 × 10(6)/L) being detected in 27 (33.3%) patients. In the multivariate analysis, Eastern Cooperative Oncology Group performance status (ECOG PS) >1 (hazard ratio [HR] 3.18, P=0.003), age >50 years (HR 4.23, P=0.012), and lymphopenia at diagnosis (HR 2.83, P=0.008) remained independent prognostic factors for low overall survival (OS). Lymphopenia was also a significant prognostic factor for progression-free survival (HR 3.17, P=0.001). By means of a new three-factor prognostic model using ECOG PS >1, age >50 years, and presence of lymphopenia, with 1 point assigned to each factor, we successfully classified the patients into three risk groups: low (0 and 1), intermediate (2), and high (3). The 5-year OS rates of the patients in the low-, intermediate-, and high-risk groups were 74.3%, 21.7%, and 12.5%, respectively (P<0.001).
CONCLUSIONS: Low ALC is a useful indicator of poor prognosis in patients with PCNSL. The proposed three-factor model should be validated in large-scale studies.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Lymphopenia; Primary central nervous system lymphoma; Prognosis

Mesh:

Substances:

Year:  2016        PMID: 26918738     DOI: 10.1016/j.ejca.2016.01.016

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  14 in total

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