Genetic Subtype‐Based International Prognostic Index Prognostic Model in Diffuse Large B‐Cell Lymphoma

Molecular subtyping in diffuse large B-cell lymphoma (DLBCL) leads to facilitating drug selection. However, an integrated prognostic model based on molecular subtyping and clinical features has not been well established. Here, we retrospectively performed whole genome sequencing, whole exome sequencing, and fluorescence in situ hybridization in newly diagnosed DLBCLs, established a simplified LymphType algorithm for classification evaluation, and proposed a new integrated prognostic stratification system, combined molecular subtypes and International Prognostic Index (IPI) scoring system in our in-house sequencing cohort (<i>N</i> = 100), and validated in three public cohorts (<i>N</i> = 1480). Compared with IPI scoring system and classification algorithm model alone, the discrimination ability of prognostic model based on the new integrated model showed best discrimination of overall survival with concordance index value (0.773 vs. 0.724 vs. 0.648). We subsequently established a four-category risk model defined for the integrated prognostic model as follows: low, low-intermediate, high-intermediate, and high risk, demonstrating stronger prognostic separation across all end points (all <i>p </i>< 0.001) in our in-house cohort and three validation cohorts. Collectively, the new feasible integrated prognostic stratification system contributes to accurate prognosis assessment in clinical routine and provides a new basis for the follow-up treatment.

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Publication Details

Journal
MedComm
Published
2025-06-16
DOI
https://doi.org/10.1002/mco2.70190
Citations
1
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.47

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article

Genetic Subtype‐Based International Prognostic Index Prognostic Model in Diffuse Large B‐Cell Lymphoma

Hua‐Jun Wu, Jiayue Qin, Lixia Liu, Jun Zhu et al.
1 citations
MedComm
Lymphoma Diagnosis and Treatment
1.47
article

Genetic Subtype‐Based International Prognostic Index Prognostic Model in Diffuse Large B‐Cell Lymphoma

Hua‐Jun Wu, Jiayue Qin, Lixia Liu, Jun Zhu, Shunli Yang, Yuqin Song, Jili Deng, Lan Mi, Hong Chen, Chen Zhang, Feng Lou, Haojie Wang, Weiping Liu, Shanbo Cao, Libin Chen
article en
1 citations

Abstract

Molecular subtyping in diffuse large B-cell lymphoma (DLBCL) leads to facilitating drug selection. However, an integrated prognostic model based on molecular subtyping and clinical features has not been well established. Here, we retrospectively performed whole genome sequencing, whole exome sequencing, and fluorescence in situ hybridization in newly diagnosed DLBCLs, established a simplified LymphType algorithm for classification evaluation, and proposed a new integrated prognostic stratification system, combined molecular subtypes and International Prognostic Index (IPI) scoring system in our in-house sequencing cohort (<i>N</i> = 100), and validated in three public cohorts (<i>N</i> = 1480). Compared with IPI scoring system and classification algorithm model alone, the discrimination ability of prognostic model based on the new integrated model showed best discrimination of overall survival with concordance index value (0.773 vs. 0.724 vs. 0.648). We subsequently established a four-category risk model defined for the integrated prognostic model as follows: low, low-intermediate, high-intermediate, and high risk, demonstrating stronger prognostic separation across all end points (all <i>p </i>< 0.001) in our in-house cohort and three validation cohorts. Collectively, the new feasible integrated prognostic stratification system contributes to accurate prognosis assessment in clinical routine and provides a new basis for the follow-up treatment.

MedCommVol. 6(7)
University of Electronic Science and Technology of China (CN), Peking University (CN), Peking University Cancer Hospital (CN), Sichuan Cancer Hospital (CN)
Beijing Xisike Clinical Oncology Research Foundation, National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, Beijing Municipal Administration of Hospitals, National Key Research and Development Program of China
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Lymphoma Diagnosis and Treatment
1.47
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