Lan Mi, Jili Deng, Jiayue Qin, Chen Zhang, Lixia Liu, Shunli Yang, Libin Chen, Hua-Jun Wu, Haojie Wang, Jun Zhu, Hong Chen, Feng Lou, Shanbo Cao, Yuqin Song, Weiping Liu
{"title":"基于遗传亚型的国际预后指数弥漫性大b细胞淋巴瘤预后模型","authors":"Lan Mi, Jili Deng, Jiayue Qin, Chen Zhang, Lixia Liu, Shunli Yang, Libin Chen, Hua-Jun Wu, Haojie Wang, Jun Zhu, Hong Chen, Feng Lou, Shanbo Cao, Yuqin Song, Weiping Liu","doi":"10.1002/mco2.70190","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"6 7","pages":""},"PeriodicalIF":10.7000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mco2.70190","citationCount":"0","resultStr":"{\"title\":\"Genetic Subtype-Based International Prognostic Index Prognostic Model in Diffuse Large B-Cell Lymphoma\",\"authors\":\"Lan Mi, Jili Deng, Jiayue Qin, Chen Zhang, Lixia Liu, Shunli Yang, Libin Chen, Hua-Jun Wu, Haojie Wang, Jun Zhu, Hong Chen, Feng Lou, Shanbo Cao, Yuqin Song, Weiping Liu\",\"doi\":\"10.1002/mco2.70190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":94133,\"journal\":{\"name\":\"MedComm\",\"volume\":\"6 7\",\"pages\":\"\"},\"PeriodicalIF\":10.7000,\"publicationDate\":\"2025-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mco2.70190\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MedComm\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/mco2.70190\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MedComm","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mco2.70190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
摘要
弥漫性大b细胞淋巴瘤(DLBCL)的分子分型有助于药物选择。然而,基于分子分型和临床特征的综合预后模型尚未很好地建立。在此,我们回顾性地对新诊断的dlbcl进行了全基因组测序、全外显子组测序和荧光原位杂交,建立了一种简化的淋巴型算法进行分类评估,并在我们的内部测序队列(N = 100)中提出了一种新的综合预后分层系统,结合了分子亚型和国际预后指数(IPI)评分系统,并在三个公共队列(N = 1480)中进行了验证。与单独的IPI评分系统和分类算法模型相比,基于新集成模型的预后模型的判别能力与一致性指数值(0.773 vs 0.724 vs 0.648)对总生存的判别能力最好。随后,我们建立了一个四类风险模型,定义为综合预后模型:低、中低、中高和高风险,在所有终点显示出更强的预后分离(所有p <;0.001)在我们的内部队列和三个验证队列中。总之,新的可行的综合预后分层系统有助于临床常规准确的预后评估,并为后续治疗提供新的依据。
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 (N = 100), and validated in three public cohorts (N = 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 p < 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.