Literature DB >> 23775580

Comparison of prognostic models for patients with diffuse large B-cell lymphoma in the rituximab era.

Yu-Chung Huang1, Chun-Yu Liu, Hsueh-Ju Lu, Han-Tsung Liu, Man-Hsin Hung, Ying-Chung Hong, Liang-Tsai Hsiao, Jyh-Pyng Gau, Jin-Hwang Liu, Hui-Chi Hsu, Tzeon-Jye Chiou, Po-Min Chen, Cheng-Hwai Tzeng, Yuan-Bin Yu.   

Abstract

Several revisions of International Prognostic Index (IPI) have been proposed for patients with diffuse large B-cell lymphoma (DLBCL) after the introduction of rituximab. Expanding evidence suggests that baseline absolute lymphocyte count (ALC) is also an independent factor for outcome prediction. We investigated the optimal prognostic model for these patients in the rituximab era. The study enrolled 274 consecutive patients with DLBCL receiving first-line cyclophosphamide, doxorubicin, vincristine, and prednisone based chemotherapy with rituximab between 2003 and 2009. Five factors within IPI and ALC were entered for Cox regression analysis. Overall survival (OS) and progression-free survival were calculated for different risk groups of models. Efficacy of models was compared by the value of Akaike information criterion (AIC). Revised IPI (R-IPI) and ALC/R-IPI, but not IPI, were informative to discriminate between different risk groups. In multivariate analysis for individual factors of the prognostic models, performance status >1 [odds ratio (OR) 3.59], Ann Arbor stage III or IV (OR 2.24), and ALC <1 × 10⁹/L (OR, 2.75) remained significant. Another modified score based on the three factors divided patients into four risk groups and the 3-year OS rate was 93, 77, 39, and 13 %, respectively. By comparing AIC values in the Cox proportional hazards model, the modified three-factor model was the superior prognostic model followed by established ALC/R-IPI, R-IPI, and standard IPI. In conclusion, the addition of the novel factor, ALC, interacts with other established factors in outcome prediction for DLBCL. Development of a new score is needed for a better risk stratification in the rituximab era and would be helpful in the design of future clinical trials. The proposed three-factor model should be validated in large-scale studies.

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Year:  2013        PMID: 23775580     DOI: 10.1007/s00277-013-1807-0

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


  7 in total

1.  Dose-intensified CHOP with rituximab (R-Double-CHOP) followed by consolidation high-dose chemotherapies for patients with advanced diffuse large B-cell lymphoma.

Authors:  Daisuke Kurita; Katsuhiro Miura; Masaru Nakagawa; Shimon Ohtake; Masashi Sakagami; Yoshihito Uchino; Hiromichi Takahashi; Satomi Kiso; Atsuko Hojo; Hitomi Kodaira; Mai Yagi; Yukio Hirabayashi; Yujin Kobayashi; Noriyoshi Iriyama; Sumiko Kobayashi; Yoshihiro Hatta; Yoshimasa Kura; Masahiko Sugitani; Masami Takei
Journal:  Int J Hematol       Date:  2015-03-17       Impact factor: 2.490

2.  Prognostic and biological significance of survivin expression in patients with diffuse large B-cell lymphoma treated with rituximab-CHOP therapy.

Authors:  Zhiyu Liu; Zijun Y Xu-Monette; Xin Cao; Ganiraju C Manyam; Xiaoxiao Wang; Alexandar Tzankov; Yi Xia; Xin Li; Carlo Visco; Ruifang Sun; Li Zhang; Santiago Montes-Moreno; Karen Dybkær; April Chiu; Attilio Orazi; Youli Zu; Govind Bhagat; Kristy L Richards; Eric D Hsi; William W L Choi; J Han van Krieken; Jooryung Huh; Maurilio Ponzoni; Andrés J M Ferreri; Ben M Parsons; Michael B Møller; Miguel A Piris; Jane N Winter; Dennis P O'Malley; L Jeffrey Medeiros; Ken H Young
Journal:  Mod Pathol       Date:  2015-08-07       Impact factor: 7.842

3.  ALDH1A1 mediates resistance of diffuse large B cell lymphoma to the CHOP regimen.

Authors:  Ying-Hui Song; Mei-Zuo Zhong; Ping-Ping Gan; Ping-Yong Yi; You-Hong Tang; Yi-Ping Liu; Jin-Qiong Jiang; Li Li
Journal:  Tumour Biol       Date:  2014-10-25

4.  Analysis of schizophrenia and hepatocellular carcinoma genetic network with corresponding modularity and pathways: novel insights to the immune system.

Authors:  Kuo-Chuan Huang; Ko-Chun Yang; Han Lin; Theresa Tsao Tsun-Hui; Wen-Kuei Lee; Sheng-An Lee; Cheng-Yan Kao
Journal:  BMC Genomics       Date:  2013-10-16       Impact factor: 3.969

5.  Prognostic implication of leucocyte subpopulations in diffuse large B-cell lymphoma.

Authors:  Xiao Han; Jing Ruan; Wei Zhang; Daobin Zhou; Dongsheng Xu; Qiang Pei; Mingqi Ouyang; Mengxuan Zuo
Journal:  Oncotarget       Date:  2017-07-18

Review 6.  Statistical Challenges in Development of Prognostic Models in Diffuse Large B-Cell Lymphoma: Comparison Between Existing Models - A Systematic Review.

Authors:  Jelena Jelicic; Thomas Stauffer Larsen; Henrik Frederiksen; Bosko Andjelic; Milos Maksimovic; Zoran Bukumiric
Journal:  Clin Epidemiol       Date:  2020-05-27       Impact factor: 4.790

7.  Prognostic and Clinicopathological Value of Survivin in Diffuse Large B-cell Lymphoma: A Meta-Analysis.

Authors:  Ya Zhang; Jianhong Wang; Xiaohui Sui; Ying Li; Kang Lu; Xiaosheng Fang; Yujie Jiang; Xin Wang
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

  7 in total

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