Enhancement of the International prognostic index with β2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab era

Abstract Background This study aimed to propose a new user-friendly, cost effective and robust risk model to facilitate risk stratification for diffuse large B-cell lymphoma (DLBCL) treated with frontline R-CHOP regimens. Methods Data on 998 patients with de novo DLBCL diagnosed between Jan 1st, 200...

Full description

Bibliographic Details
Main Authors: Haizhu Chen, Qiaofeng Zhong, Yu Zhou, Yan Qin, Jianliang Yang, Peng Liu, Xiaohui He, Shengyu Zhou, Changgong Zhang, Lin Gui, Sheng Yang, Liqiang Zhou, Yuankai Shi
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Cancer
Subjects:
Online Access:https://doi.org/10.1186/s12885-022-09693-z
_version_ 1818213845672394752
author Haizhu Chen
Qiaofeng Zhong
Yu Zhou
Yan Qin
Jianliang Yang
Peng Liu
Xiaohui He
Shengyu Zhou
Changgong Zhang
Lin Gui
Sheng Yang
Liqiang Zhou
Yuankai Shi
author_facet Haizhu Chen
Qiaofeng Zhong
Yu Zhou
Yan Qin
Jianliang Yang
Peng Liu
Xiaohui He
Shengyu Zhou
Changgong Zhang
Lin Gui
Sheng Yang
Liqiang Zhou
Yuankai Shi
author_sort Haizhu Chen
collection DOAJ
description Abstract Background This study aimed to propose a new user-friendly, cost effective and robust risk model to facilitate risk stratification for diffuse large B-cell lymphoma (DLBCL) treated with frontline R-CHOP regimens. Methods Data on 998 patients with de novo DLBCL diagnosed between Jan 1st, 2005 and Dec 31st, 2018 at our center, who received frontline R-CHOP or R-CHOP-like regimens, were retrospectively collected. Patients were randomly divided into the training cohort (n = 701) and the validation cohort (n = 297). A new prognostic model for overall survival (OS) was built based on the training cohort. The performance of the new model was compared with International prognostic index (IPI), revised IPI (R-IPI) and National Comprehensive Cancer Network (NCCN)-IPI (NCCN-IPI). The new model was validated in the validation cohort. Results The multivariate analysis of the training cohort showed that the IPI, β2-microglobulin, platelet count and red blood cell distribution width were independent factors for OS, which were incorporated into the new prognostic model. Patients were stratified into low risk, low-intermediate risk, high-intermediate risk, high risk and very high risk groups, with distinct survival outcomes. The new model achieved good C-indexes for 5-year OS prediction of 0.750 (95%CI 0.719–0.781) and 0.733 (95%CI 0.682–0.784) in the training and validation cohorts, respectively, and displayed well-fitted calibration curves. The C-index and the time-dependent ROC analysis demonstrated better performance of the new model than the IPI, R-IPI and NCCN-IPI in both training and validation cohorts. The integrated Brier score for predicting 5-year OS of the new model was lower than that of the IPI, R-IPI and NCCN-IPI in both cohorts, and decision curve analysis also showed a higher net benefit, indicating the superiority of the new model over the conventional models. Conclusion The new prognostic model might be a useful predictive tool for DLBCL treated with R-CHOP regimens. Further external validation is warranted.
first_indexed 2024-12-12T06:10:46Z
format Article
id doaj.art-9cc2ddf6404f410bad748967a9ebe331
institution Directory Open Access Journal
issn 1471-2407
language English
last_indexed 2024-12-12T06:10:46Z
publishDate 2022-05-01
publisher BMC
record_format Article
series BMC Cancer
spelling doaj.art-9cc2ddf6404f410bad748967a9ebe3312022-12-22T00:35:10ZengBMCBMC Cancer1471-24072022-05-0122111410.1186/s12885-022-09693-zEnhancement of the International prognostic index with β2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab eraHaizhu Chen0Qiaofeng Zhong1Yu Zhou2Yan Qin3Jianliang Yang4Peng Liu5Xiaohui He6Shengyu Zhou7Changgong Zhang8Lin Gui9Sheng Yang10Liqiang Zhou11Yuankai Shi12Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsAbstract Background This study aimed to propose a new user-friendly, cost effective and robust risk model to facilitate risk stratification for diffuse large B-cell lymphoma (DLBCL) treated with frontline R-CHOP regimens. Methods Data on 998 patients with de novo DLBCL diagnosed between Jan 1st, 2005 and Dec 31st, 2018 at our center, who received frontline R-CHOP or R-CHOP-like regimens, were retrospectively collected. Patients were randomly divided into the training cohort (n = 701) and the validation cohort (n = 297). A new prognostic model for overall survival (OS) was built based on the training cohort. The performance of the new model was compared with International prognostic index (IPI), revised IPI (R-IPI) and National Comprehensive Cancer Network (NCCN)-IPI (NCCN-IPI). The new model was validated in the validation cohort. Results The multivariate analysis of the training cohort showed that the IPI, β2-microglobulin, platelet count and red blood cell distribution width were independent factors for OS, which were incorporated into the new prognostic model. Patients were stratified into low risk, low-intermediate risk, high-intermediate risk, high risk and very high risk groups, with distinct survival outcomes. The new model achieved good C-indexes for 5-year OS prediction of 0.750 (95%CI 0.719–0.781) and 0.733 (95%CI 0.682–0.784) in the training and validation cohorts, respectively, and displayed well-fitted calibration curves. The C-index and the time-dependent ROC analysis demonstrated better performance of the new model than the IPI, R-IPI and NCCN-IPI in both training and validation cohorts. The integrated Brier score for predicting 5-year OS of the new model was lower than that of the IPI, R-IPI and NCCN-IPI in both cohorts, and decision curve analysis also showed a higher net benefit, indicating the superiority of the new model over the conventional models. Conclusion The new prognostic model might be a useful predictive tool for DLBCL treated with R-CHOP regimens. Further external validation is warranted.https://doi.org/10.1186/s12885-022-09693-zDiffuse large B-cell lymphomaβ2-microglobulinPlatelet countRed blood cell distribution widthPrognosisInternational prognostic index
spellingShingle Haizhu Chen
Qiaofeng Zhong
Yu Zhou
Yan Qin
Jianliang Yang
Peng Liu
Xiaohui He
Shengyu Zhou
Changgong Zhang
Lin Gui
Sheng Yang
Liqiang Zhou
Yuankai Shi
Enhancement of the International prognostic index with β2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab era
BMC Cancer
Diffuse large B-cell lymphoma
β2-microglobulin
Platelet count
Red blood cell distribution width
Prognosis
International prognostic index
title Enhancement of the International prognostic index with β2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab era
title_full Enhancement of the International prognostic index with β2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab era
title_fullStr Enhancement of the International prognostic index with β2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab era
title_full_unstemmed Enhancement of the International prognostic index with β2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab era
title_short Enhancement of the International prognostic index with β2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab era
title_sort enhancement of the international prognostic index with β2 microglobulin platelet count and red blood cell distribution width a new prognostic model for diffuse large b cell lymphoma in the rituximab era
topic Diffuse large B-cell lymphoma
β2-microglobulin
Platelet count
Red blood cell distribution width
Prognosis
International prognostic index
url https://doi.org/10.1186/s12885-022-09693-z
work_keys_str_mv AT haizhuchen enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT qiaofengzhong enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT yuzhou enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT yanqin enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT jianliangyang enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT pengliu enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT xiaohuihe enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT shengyuzhou enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT changgongzhang enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT lingui enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT shengyang enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT liqiangzhou enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera
AT yuankaishi enhancementoftheinternationalprognosticindexwithb2microglobulinplateletcountandredbloodcelldistributionwidthanewprognosticmodelfordiffuselargebcelllymphomaintherituximabera