弥漫性大b细胞淋巴瘤预后图的建立和验证:来自中国北方的一项多中心队列研究。

IF 2.8 3区 医学 Q2 ONCOLOGY
Juya Cui, Tao Wang, Junyan Zhang, Meiru Guo, Jun Zhu, Shuling Hou
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引用次数: 0

摘要

目的:本研究旨在完善国际预后指数(IPI)为中国北方地区弥漫性大b细胞淋巴瘤(DLBCL)患者提供的预后分层,构建更精确的预后图,以促进个体化治疗策略和改善生存结果。方法:回顾性分析2000年1月至2019年12月在中国北京和山西多个中心诊断为DLBCL的1364例患者的临床资料。建立了一个总生存期(OS)的预后nomogram模型,该模型包含以下变量:年龄、疾病分期、东部肿瘤合作组(ECOG)的工作状态、乳酸脱氢酶(LDH)水平、各种结外部位的受累情况以及6个月内的疾病进展(POD6)。通过受试者工作特征(ROC)曲线分析、校准曲线、一致性指数(C-index)和曲线下面积(AUC)指标评估模型的性能。结果:开发的nomogram显示出一致的预测能力,在1年、3年和5年时间点的AUC值超过0.7。校准图显示与理想参考线接近,斜率接近1,支持模型的预测准确性和临床相关性。POD6被确定为与OS降低相关的最重要高危因素(风险比[HR] = 5.13, 95%可信区间[CI]: 1.03-2.51, p)。结论:建立了一种新的DLBCL患者预后图,与传统的IPI相比,预后准确性更高。该模型在支持个性化管理和治疗计划方面具有临床实用性。临床注册号:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and validation of a prognostic nomogram for diffuse large B-cell lymphoma: a multicenter cohort study from Northern China.

Objective: This study aimed to refine the prognostic stratification provided by the International Prognostic Index (IPI) for patients diagnosed with diffuse large B-cell lymphoma (DLBCL) in a northern Chinese cohort and to construct a more precise prognostic nomogram to facilitate individualized treatment strategies and improve survival outcomes.

Methods: Clinical data from 1,364 patients diagnosed with DLBCL between January 2000 and December 2019 were retrospectively analyzed across multiple centers in Beijing and Shanxi, China. A prognostic nomogram model for overall survival (OS) was developed incorporating the following variables: age, disease stage, Eastern Cooperative Oncology Group (ECOG) performance status, lactate dehydrogenase (LDH) levels, involvement of various extranodal sites, and disease progression within 6 months (POD6). Model performance was evaluated through receiver-operating characteristic (ROC) curve analysis, calibration curves, concordance index (C-index), and area under the curve (AUC) metrics.

Results: The developed nomogram demonstrated consistent predictive capacity, with AUC values exceeding 0.7 at 1-, 3-, and 5-year time points. Calibration plots indicated close alignment with the ideal reference line, with slopes approximating 1, supporting the model's predictive accuracy and clinical relevance. POD6 was identified as the most significant high-risk factor associated with decreased OS (hazard ratio [HR] = 5.13, 95% confidence interval [CI]: 1.03-2.51, p < 0.0001). Among the IPI components, all except ECOG performance status and extranodal involvement remained significant. Notably, central nervous system involvement exhibited the strongest adverse prognostic effect among extranodal sites (HR = 1.61, 95% CI: 1.03-2.51, p = 0.035).

Conclusion: A novel prognostic nomogram was established for patients with DLBCL, offering improved prognostic accuracy compared to the traditional IPI. This model presents clinical utility in supporting personalized management and treatment planning.

Clinical registration number: Not applicable.

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来源期刊
CiteScore
6.20
自引率
2.90%
发文量
240
审稿时长
1 months
期刊介绍: Clinical and Translational Oncology is an international journal devoted to fostering interaction between experimental and clinical oncology. It covers all aspects of research on cancer, from the more basic discoveries dealing with both cell and molecular biology of tumour cells, to the most advanced clinical assays of conventional and new drugs. In addition, the journal has a strong commitment to facilitating the transfer of knowledge from the basic laboratory to the clinical practice, with the publication of educational series devoted to closing the gap between molecular and clinical oncologists. Molecular biology of tumours, identification of new targets for cancer therapy, and new technologies for research and treatment of cancer are the major themes covered by the educational series. Full research articles on a broad spectrum of subjects, including the molecular and cellular bases of disease, aetiology, pathophysiology, pathology, epidemiology, clinical features, and the diagnosis, prognosis and treatment of cancer, will be considered for publication.
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