Asia-Pacific journal of clinical oncology · 2019
A prognostic nomogram constructed for relapsed or refractory diffuse large B-cell lymphoma patients.
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Jiang Shiyu, Qin Yan, Liu Peng, Yang Jianliang, Yang Sheng, He Xiaohui, Zhou Shengyu, Gui Lin, Zhang Changgong, Zhou Liqiang, Sun Yan, Shi Yuankai
Аннотация
AIM: The clinical course of diffuse large B-cell lymphoma (DLBCL) is variable and there is a lack of prognostic markers and models for relapsed or refractory (r/r) DLBCL. Hence, we conducted this study to identify independent factors that can predict the survival rate of r/r DLBCL patients.
METHODS: A total of 416 r/r DLBCL patients who were pretreated with first-line anthracycline-based chemotherapy at the National Cancer Center in China between 2006 and 2016 were divided into the primary (n = 291) and validation (n = 125) cohorts. The effect of preclinical and clinical indicators on DLBCL survival rates of the two cohorts were evaluated by univariate and multivariate analyses. Factors showing good correlation with patient survival rates were used to construct a prognostic nomogram.
RESULTS: Multivariate analysis of the primary cohort revealed five independent prognostic factors: lactate dehydrogenase level at diagnosis, response to front line treatment, progression/recurrence pattern, location, and invasion on progression/recurrence, which were then used to construct a nomogram. The nomogram was shown to have a C-index of 0.76 and AUC values of 0.81 and 0.80 for the primary and validation cohorts, respectively, suggesting good prognostic power. We further stratified the r/r DLBCL patients into four risk groups according to the newly developed nomogram.
CONCLUSION: The prognostic nomogram constructed using the five identified clinical indicators can potentially be applied in the clinical setting to guide treatment decision.
METHODS: A total of 416 r/r DLBCL patients who were pretreated with first-line anthracycline-based chemotherapy at the National Cancer Center in China between 2006 and 2016 were divided into the primary (n = 291) and validation (n = 125) cohorts. The effect of preclinical and clinical indicators on DLBCL survival rates of the two cohorts were evaluated by univariate and multivariate analyses. Factors showing good correlation with patient survival rates were used to construct a prognostic nomogram.
RESULTS: Multivariate analysis of the primary cohort revealed five independent prognostic factors: lactate dehydrogenase level at diagnosis, response to front line treatment, progression/recurrence pattern, location, and invasion on progression/recurrence, which were then used to construct a nomogram. The nomogram was shown to have a C-index of 0.76 and AUC values of 0.81 and 0.80 for the primary and validation cohorts, respectively, suggesting good prognostic power. We further stratified the r/r DLBCL patients into four risk groups according to the newly developed nomogram.
CONCLUSION: The prognostic nomogram constructed using the five identified clinical indicators can potentially be applied in the clinical setting to guide treatment decision.