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Prognostic nomogram incorporating inflammatory cytokines for overall survival in patients with aggressive non-Hodgkin's lymphoma

机译:侵袭性非霍奇金淋巴瘤患者的总生存率与炎性细胞因子的预后列线图

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Background This study aimed to investigate the association of pre-treatment inflammatory status with survival time and to develop a prognostic nomogram incorporating inflammatory cytokines in non-Hodgkin's lymphoma. Methods A total of 228 patients with diffuse large B-cell lymphoma (DLBCL) received R-CHOP-based regimens from a prospective randomized study (NCT01852435) were included as a training cohort. Other cohorts of 886 lymphoma patients were served as validation cohorts. Lymphocyte-monocyte ratio (LMR), serum levels of soluble interleukin s(IL)-2R, IL-6, IL-8, IL-10 and tumor necrosis factor-α (TNF-α), were assessed before treatment. Least absolute shrinkage and selection operator (LASSO) regression were used to select variables for nomogram of overall survival (OS). The predictive accuracy of the nomogram was determined by concordance index (C-index). Findings The nomogram included lactate dehydrogenase (LDH), sIL-2R, TNF-α and decreased LMR. The C-index of the nomogram for OS prediction were range from 0.61 to 0.86 for training cohort of DLBCL and validation cohorts of DLBCL, PTCL, NKTCL and ASCT, which were superior to the predictive power of International Prognostic Index (IPI, 0.67 to 0.84) or NCCN-IPI (0.59 to 0.78), but not in those of indolent lymphoma like FL and MALT. Interpretations The nomogram incorporating inflammatory cytokines provides a useful tool for risk stratification in aggressive non-Hodgkin's lymphomas. Fund National Natural Science Foundation of China, the Shanghai Commission of Science and Technology, Multicenter Clinical Research Project by Shanghai Jiao Tong University School of Medicine, Clinical Research Plan of SHDC, and Chang Jiang Scholars Program.
机译:背景本研究旨在探讨治疗前炎症状态与生存时间的关系,并开发出将炎症细胞因子纳入非霍奇金淋巴瘤的预后诺模图。方法将来自前瞻性随机研究(NCT01852435)的228例弥漫性大B细胞淋巴瘤(DLBCL)患者接受了基于R-CHOP的方案作为训练队列。 886名淋巴瘤患者的其他队列作为验证队列。治疗前评估淋巴细胞-单核细胞比率(LMR),可溶性白介素s(IL)-2R,IL-6,IL-8,IL-10和肿瘤坏死因子-α(TNF-α)的血清水平。最小绝对收缩和选择算子(LASSO)回归用于选择总生存(OS)诺模图的变量。诺模图的预测准确性由一致性指数(C-index)确定。结果诺模图包括乳酸脱氢酶(LDH),sIL-2R,TNF-α和LMR降低。用于OS预测的列线图的C指数在DLBCL训练队列和DLBCL,PTCL,NKTCL和ASCT验证队列的0.61至0.86范围内,优于国际预后指数(IPI,0.67至0.84) )或NCCN-IPI(0.59至0.78),但对于惰性淋巴瘤(如FL和MALT)则不适用。解释结合炎性细胞因子的诺模图为侵袭性非霍奇金淋巴瘤的危险分层提供了有用的工具。资助国家自然科学基金,上海市科学技术委员会,上海交通大学医学院的多中心临床研究项目,上海交通大学临床研究计划和长江学者计划。

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