4.7 Article

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

期刊

BLOOD
卷 118, 期 5, 页码 1350-1358

出版社

AMER SOC HEMATOLOGY
DOI: 10.1182/blood-2011-03-345272

关键词

-

资金

  1. National Cancer Institute [P01CA34233, U54CA149145, U56-CA112973, CA109335]
  2. Dwoskin Family Foundation
  3. Bankhead-Coley Foundation
  4. Fidelity Foundation
  5. Terry Fox Foundation [019001]
  6. Fondation de France
  7. Association pour la Recherche sur le Cancer

向作者/读者索取更多资源

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)

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据