Prediction of survival in diffuse large B-cell lymphoma based on the expression of 2 genes reflecting tumor and microenvironment

被引:167
作者
Alizadeh, Ash A. [1 ]
Gentles, Andrew J. [2 ]
Alencar, Alvaro J. [3 ]
Liu, Chih Long [1 ]
Kohrt, Holbrook E. [1 ]
Houot, Roch [1 ,4 ,5 ]
Goldstein, Matthew J. [1 ]
Zhao, Shuchun [6 ]
Natkunam, Yasodha [6 ]
Advani, Ranjana H. [1 ]
Gascoyne, Randy D. [7 ]
Briones, Javier [8 ]
Tibshirani, Robert J. [9 ]
Myklebust, June H. [1 ,10 ]
Plevritis, Sylvia K. [2 ]
Lossos, Izidore S. [3 ]
Levy, Ronald [1 ]
机构
[1] Stanford Univ, Dept Med, Div Oncol, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Radiol, Stanford, CA 94305 USA
[3] Univ Miami, Sylvester Comprehens Canc Ctr, Dept Med, Div Hematol Oncol, Miami, FL USA
[4] Ctr Hosp Univ Rennes, INSERM, U917, Rennes, France
[5] Ctr Hosp Univ Rennes, Serv Hematol Clin, Rennes, France
[6] Stanford Univ, Dept Pathol, Stanford, CA 94305 USA
[7] British Columbia Canc Agcy, Dept Pathol, Vancouver, BC V5Z 4E6, Canada
[8] Autonomous Univ Barcelona, Hosp St Pau, Dept Hematol, Barcelona, Spain
[9] Stanford Univ, Dept Stat, Stanford, CA 94305 USA
[10] Univ Oslo, Ctr Canc Biomed, Oslo Univ Hosp, Dept Immunol,Inst Canc Res, Oslo, Norway
关键词
CHEMOTHERAPY PLUS RITUXIMAB; FOLLICULAR LYMPHOMA; OUTCOME PREDICTION; MOLECULAR SUBTYPES; PROTEIN EXPRESSION; ELDERLY-PATIENTS; GERMINAL-CENTER; LMO2; ACTIVATION; 4-1BB;
D O I
10.1182/blood-2011-03-345272
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
Several gene-expression signatures predict survival in diffuse large B-cell lymphoma (DLBCL), but the lack of practical methods for genome-scale analysis has limited translation to clinical practice. We built and validated a simple model using one gene expressed by tumor cells and another expressed by host immune cells, assessing added prognostic value to the clinical International Prognostic Index (IPI). LIM domain only 2 (LMO2) was validated as an independent predictor of survival and the "germinal center B cell-like" subtype. Expression of tumor necrosis factor receptor superfamily member 9 (TNFRSF9) from the DLBCL microenvironment was the best gene in bivariate combination with LMO2. Study of TNFRSF9 tissue expression in 95 patients with DLBCL showed expression limited to infiltrating T cells. A model integrating these 2 genes was independent of "cell-of-origin" classification, "stromal signatures," IPI, and added to the predictive power of the IPI. A composite score integrating these genes with IPI per-formed well in 3 independent cohorts of 545 DLBCL patients, as well as in a simple assay of routine formalin-fixed specimens from a new validation cohort of 147 patients with DLBCL. We conclude that the measurement of a single gene expressed by tumor cells (LMO2) and a single gene expressed by the immune microenvironment (TNFRSF9) powerfully predicts overall survival in patients with DLBCL. (Blood. 2011; 118(5): 1350-1358)
引用
收藏
页码:1350 / 1358
页数:9
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