Evidence map›Paper›PMID 41824125›Full record

ArticleDiscover oncology2026

Molecular international prognostic index prognostic model in diffuse large B-cell lymphoma.

Ting-Juan Zhang, Xiao-Chi Wu, Ming-Qiang Chu, Zi-Jun Xu, Liang Qiao, Yang-Jing Zhao, Jun Qian, Jing-Dong Zhou

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Ting-Juan Zhang *Department of Hematology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Clinical Research Center of Hematology, 8 Dianli Rd., Jiangsu, 212002, Zhenjiang, China.
Xiao-Chi Wu *Department of Hematology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Clinical Research Center of Hematology, 8 Dianli Rd., Jiangsu, 212002, Zhenjiang, China.
Ming-Qiang Chu *Department of Hematology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Clinical Research Center of Hematology, 8 Dianli Rd., Jiangsu, 212002, Zhenjiang, China.
Zi-Jun XuDepartment of Hematology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Clinical Research Center of Hematology, 8 Dianli Rd., Jiangsu, 212002, Zhenjiang, China.
Liang QiaoDepartment of Hematology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Clinical Research Center of Hematology, 8 Dianli Rd., Jiangsu, 212002, Zhenjiang, China.
Yang-Jing ZhaoJiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, Jiangsu, China. zhaoyangjing@ujs.edu.cn.
Jun QianDepartment of Hematology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Clinical Research Center of Hematology, 8 Dianli Rd., Jiangsu, 212002, Zhenjiang, China. qianjun@ujs.edu.cn.
Jing-Dong ZhouDepartment of Hematology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Clinical Research Center of Hematology, 8 Dianli Rd., Jiangsu, 212002, Zhenjiang, China. zhoujingdong@ujs.edu.cn.

Funding

National Natural Science Foundation of China 82270179National Natural Science Foundation of China 82300164Natural Science Foundation of Jiangsu Province BK20221287Natural Science Foundation of Jiangsu Province BK20230296Research Project of Jiangsu Commission of Health M2022123Social Development Foundation of Zhenjiang SH2025041
6 · The paper itself

Abstract

backgroundAlthough diffuse large B-cell lymphoma (DLBCL) has entered the era of molecular subtyping, gene mutations have not yet been used for risk stratification of patients with DLBCL. Therefore, there is an urgent need for a molecular-based model to comprehensively evaluate the prognosis of DLBCL patients in clinical practice.

methodsWe retrospectively analyzed 761 patients with DLBCL from cBioPortal datasets. Gene mutations and the International Prognostic Index (IPI) were analyzed for their associations with overall survival and were used to determine the set of prognostic variables. A Cox model was utilized to estimate the relative weights of the selected variables.

resultsWe mapped at least one gene mutation in 94% (718/761) of patients with DLBCL. Survival analysis identified that PIM1, KLHL14, CD79b, and MYC mutations were correlated with adverse outcomes, whereas EZH2, STAT3, and B2M mutations were predictors of favorable outcomes. Using these gene mutations together with IPI, we established a novel prognostic system, IPI-M, which resulted in a unique risk score for individual patients. We further derived five IPI-M risk categories (very low, low, intermediate, high, and very high), demonstrating stronger prognostic separation in DLBCL. Compared with IPI, the discrimination ability of IPI-M showed a better discrimination of survival with concordance index value and higher 1-year, 3-year, and 5-year survival as measured by area under the receiver operating characteristic curve values. Finally, IPI-M model also presented a prognostic separation for overall survival especially for the discrimination of high/very high patients from intermediate/low/very low patients in an external validation cohort.

conclusionsWe developed a novel, feasible integrated prognostic system for newly diagnosed DLBCL that incorporates the IPI and genetic mutations, which facilitates precise prognostic assessment in clinical practice and supports precision therapy.

Indexed as

DLBCLGene mutationIPIIPI-MPrognostic Model

Identifiers

PMID41824125
PMCPMC13096417

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