首页> 美国卫生研究院文献>In Vivo >Sequential Analysis of Neutrophil-to-lymphocyte Ratio for Differentiated Thyroid Cancer Patients Treated With Lenvatinib
【2h】

Sequential Analysis of Neutrophil-to-lymphocyte Ratio for Differentiated Thyroid Cancer Patients Treated With Lenvatinib

机译:Lenvatinib治疗的分化型甲状腺癌患者中性粒细胞与淋巴细胞比率的顺序分析

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Background/Aim: Neutrophil-to-lymphocyte ratio (NLR) has been reported to be associated with poor prognosis for radioactive iodine ablation refractory differentiated thyroid cancer (RR-DTC). Little is known whether NLR can be a tumor marker for RR-DTC patients treated with lenvatinib. Patients and Methods: We retrospectively analyzed RR-DTC patients treated with lenvatinib. NLR was calculated at 4 points before and during lenvatinib treatment. Results: The median NLR value increased at the start of lenvatinib treatment, compared to 6 months prior to initiation of lenvatinib treatment. The median overall survival was significantly longer in patients with the lower NLR (< 3) at the start of lenvatinib treatment. The median NLR values decreased when the patients achieved best tumor response, and increased again upon disease progression. Conclusion: NLR values vary before and during lenvatinib treatment, suggesting that this ratio can reflect disease activity of RR-DTC. NLR can supportively be used as a tumor marker of RR-DTC and an indicator for starting lenvatinib treatment.
机译:背景/目的:据报道中性粒细胞与淋巴细胞比率(NLR)与放射性碘消融难治性分化型甲状腺癌(RR-DTC)的预后不良有关。对于用lenvatinib治疗的RR-DTC患者,NLR是否可以作为肿瘤标志物鲜为人知。患者和方法:我们回顾性分析了接受lenvatinib治疗的RR-DTC患者。 lenvatinib治疗之前和治疗期间的4点计算NLR。结果:与开始使用lenvatinib之前的6个月相比,lenvatinib治疗开始时的NLR中值增加。 lenvatinib治疗开始时具有较低NLR(<3)的患者的中位总生存期明显更长。当患者达到最佳肿瘤反应时,中值NLR值降低,并在疾病进展时再次升高。结论:lenvatinib治疗前后NLR值有所不同,表明该比率可以反映RR-DTC的疾病活性。 NLR可以辅助用作RR-DTC的肿瘤标志物和开始lenvatinib治疗的指标。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号