Investigating Novel Prognostic Models For Diffuse Large B-cell Lymphoma In The Rituximab Era

Part 1.Development of a novel prognostic nomogram model and a web-based survival rate calculator for diffuse large B-cell lymphoma in the rituximab eraObjective This study aimed to develop a novel prognostic nomogram and a web-based survival rate calculator to improve discriminative and predictive accuracy for diffuse large B cell lymphoma(DLBCL)in rituximab era.Methods We retrospectively collected data about 906 DLBCL patients who received R-CHOP or R-CHOP-like chemotherapy from January 2005 to December 201 8 in National Cancer Center/Cancer Hospital,Chinese Academy of Medical Sciences.COX proportional hazard regression analysis was performed to assess the independent prognostic significance of clinical and histopathological variables on overall survival,which were used to develop the nomogram.We performed internal and external validation of the nomogram,and compared it's discriminative and predictive accuracy with the traditional IPI,R-IPI,and NCCN-IPI.Results The patients were divided into the training(n=636)and validation(n=270)cohorts at a ratio of 7:3.We identified six independent predictors for survival including age,ECOG,number of extranodal sites,bulky,and ? 2-MG,which were used to construct the nomogram and the web-based survival rate calculator.The C-index of the nomogram was 0.767(95%CI,0.735-0.799)in the training cohort and 0.732(95%CI,0.678-0.786)in the validation cohort.The AUC values of the nomogram for predicting the 1-,5-,and 10-year OS rates for DLBCL were 0.794,0.799,0.805 in the training cohort and 0.828,0.773,0.771 in the validation cohort.All calibration curves revealed optimal consistency between predicted and actual survival both in the training and validation cohort.The nomogram divided DLBCL patients into three risk groups,the score of low risk,moderate risk,and high risk were 0-45,46-228,and higher than 228,respectively.The risk stratification model generated based on the nomogram showed a favorable level of predictive accuracy compared with the IPI,R-IPI,and NCCN-IPI in both cohorts according to the K-M survival curves.The AUC values of the nomogram model compared with the IPI,R-IPI,and NCCN-IPI for predicting the 10-year OS rates for DLBCL patients were 0.756 vs 0.748,0.732,0.713 in the training cohort and 0.742 vs 0.712,0.713,0.757 in the validation cohort.Conclusions In conclusion,we have established and validated a novel prognostic nomogram model and a web-based survival rate calculator,which revealed more discriminative and predictive accuracy than IPI,R-IPI,and NCCN-IPI in the rituximab era.Part 2.Development of a novel prognostic nomogram model and a web-based survival rate calculator for cancer-specific survival in diffuse large B-cell lymphoma based on SEER databaseObjective This study aimed to develop a predictive nomogram and a web-based survival rate calculator that can dynamically predict the long-term cancer-specific survival(CSS)for DLBCL patients based on the Surveillance,Epidemiology and End Results(SEER)database.Methods A total of 3,573 eligible patients with DLBCL from 2004 to 2015 were extracted from the SEER database.Results The entire group was randomly divided into the training(n=2,504)and validation(n=1,069)cohorts.We identified six independent predictors for survival including age,sex,marital status,Ann Arbor stage,B symptom,and chemotherapy,which were used to construct the nomogram and the web-based survival rate calculator.The C-index of the nomogram was 0.709(95%CI,0.692-0.726)in the training cohort and 0.700(95%CI,0.671-0.729)in the validation cohort.The AUC values of the nomogram for predicting the 1-,5-,and 10-year CSS rates ranged from 0.704 to 0.765 in both cohorts.All calibration curves revealed optimal consistency between predicted and actual survival.A risk stratification model generated based on the nomogram showed a favorable level of predictive accuracy compared with the IPI,R-IPI,and Ann Arbor stage in both cohorts according to the AUC values(training cohort:0.715 vs 0.676,0.652,and 0.648;validation cohort:0.695 vs 0.692,0.657,and 0.624)and K-M survival curves.Conclusions In conclusion,we have established and validated a novel nomogram risk stratification model and a web-based survival rate calculator that can dynamically predict the long-term CSS in DLBCL,which revealed more discriminative and predictive accuracy than IPI,R-IPI,and Ann Arbor stage in the rituximab era.