山东大学耳鼻喉眼学报 ›› 2019, Vol. 33 ›› Issue (3): 106-110.doi: 10.6040/j.issn.1673-3770.1.2019.018

• 论著 • 上一篇    下一篇

血小板与淋巴细胞比值对喉癌复发的预测价值

陈慧君,宋圣花,周涵(),董伟达,乔明哲,陈曦,徐进,林子萍,邢光前()   

  1. 南京医科大学第一附属医院 江苏省人民医院耳鼻咽喉科,江苏 南京 210029
  • 收稿日期:2019-02-26 修回日期:2019-04-26 出版日期:2019-05-20 发布日期:2019-08-07
  • 通讯作者: 周涵,邢光前 E-mail:zhouhan1979@sina.com;xing-gq@163.com
  • 基金资助:
    江苏省卫生计生委面上课题(H201603);江苏省青年医学人才项目(QNRC2016614)

Preoperative platelet-lymphocyte ratio is an independent prognostic factor for laryngeal squamous cell carcinoma

Huijun CHEN,Shenghua SONG,Han ZHOU(),Weida DONG,Mingzhe QIAO,Xi CHEN,Jin XU,Ziping LIN,Guangqian XING()   

  1. Department of Otorhinolaryngology,The First Affiliated Hospital,Nanjing Medical University,Nanjing 210029,Jiangsu,China
  • Received:2019-02-26 Revised:2019-04-26 Online:2019-05-20 Published:2019-08-07
  • Contact: Han ZHOU,Guangqian XING E-mail:zhouhan1979@sina.com;xing-gq@163.com

摘要: 目的

探讨术前外周血血小板与淋巴细胞比值(PLR)、中性粒细胞与淋巴细胞比值(NLR)、衍生中性粒细胞与淋巴细胞比值(dNLR)对喉鳞状细胞癌患者复发的影响和预测价值。

方法

回顾性分析南京医科大学第一附属医院473例行初次手术治疗的喉鳞状细胞癌患者的临床资料。根据患者术前的PLR、NLR和dNLR,绘制诊断肿瘤复发的受试者工作特征曲线(ROC),确定PLR、NLR和dNLR界值,从而分成相应的低比值组和高比值组;并采用 Kaplan-Meier分析、COX风险模型分析PLR、NLR、dNLR以及其他临床病理参数与喉癌复发的关系。

结果

PLR、NLR和dNLR诊断肿瘤复发的ROC曲线下面积(AUC)分别为0.683、0.720和0.696。单因素分析显示: PLR、NLR、dNLR、分型、分期、病理分化程度、甲状软骨板累及、淋巴结转移、年龄、凝血功能与喉鳞状细胞癌患者的复发有关;COX风险模型显示: PLR、分型、年龄是影响喉鳞状细胞癌复发的独立危险因素。

结论

术前PLR高的喉鳞状细胞癌患者术后容易复发,PLR对复发的预测价值优于NLR和dNLR,可作为评估喉癌患者预后的重要指标。

关键词: 喉肿瘤,鳞状细胞, 血小板与淋巴细胞比值, 中性粒细胞与淋巴细胞比值, 复发, 预后

Abstract: Objective

To evaluate the impact of preoperative platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR) and derived NLR (dNLR) on the prognosis in patients with laryngeal squamous cell carcinoma.

Methods

The clinical data of 473 patients with laryngeal squamous cell carcinoma who underwent primary surgery in the First Affiliated Hospital of Nanjing Medical University were analyzed retrospectively. According to preoperative PLR, NLR and dNLR, the receiver operating characteristic curve (ROC) for diagnosing tumor recurrence was drawn to determine PLR, NLR and dNLR thresholds, and then the patients were divided into the lower groups and the higher groups. Kaplan-Meier analysis and COX risk model were used to analyze the relationship between PLR, NLR, dNLR, and other clinicopathological parameters and recurrence of laryngeal squamous cell carcinoma.

Results

The area under the ROC curve (AUC) of PLR, NLR and dNLR for the diagnosis of tumor recurrence were 0.683, 0.720 and 0.696, respectively. Univariate analysis showed that PLR, NLR, dNLR, tumor classification, TNM stages, pathological differentiation, invasion of thyroid cartilage plate, lymph nodes metastasis, age and coagulation were associated with recurrence in patients with laryngeal squamous cell carcinoma; In COX regression model, a higher PLR, tumor classification and age were identified as independent risk factors for the recurrence of laryngeal squamous cell carcinoma (P<0.001; P=0.033; P=0.030).

Conclusion

Laryngeal squamous cell carcinoma patients with high preoperative dNLR are more likely to relapse. Preoperative PLR is a more valuable prognostic factor than NLR and dNLR for recurrence of laryngeal squamous cell carcinoma. It could be a clinically biomarker for the prognosis of laryngeal squamous cell carcinoma.

Key words: Laryngeal neoplasms, squamous cell, Platelet-lymphocyte ratio, Neutrophil-lymphocyte ratio, Recurrence, Prognosis

中图分类号: 

  • R767

图1

ROC曲线:以肿瘤复发为终点,三种比值dNLR、NLR、PLR来评估患者生存率的差异"

图 2

以复发为终点事件,低PLR组(0:PLR≤103.956)与高PLR组(1:PLR>103.956)的生存率的比较"

图3

以复发为终点事件,低NLR组(0:NLR≤1.956)与高NLR组(1:NLR>1.956)的生存率的比较"

图4

以复发为终点事件,低dNLR(0:dNLR≤1.703)组与高dNLR组(1:dNLR>1.703)的生存率的比较"

表1

Kaplan-Meier生存分析:以喉癌复发为终点,研究不同组之间的差异"

变量平均值(月)CI(月)3年生存率(%)χ2P

dNLR

93.988

67.571

90.167~97.810

60.724~74.419

78.164

59.864

49.165<0.001

NLR

96.185

72.316

92.107~100.262

66.675~77.958

78.039

64.762

43.232<0.001

PLR

94.284

72.035

90.176~98.392

66.185~77.885

75.800

66.304

39.036<0.001

分型

非声门型

声门型

67.656

90.374

59.090~76.222

86.639~94.109

54.286

75.543

28.447<0.001

分期

I+II

III+IV

90.823

70.084

87.098~94.549

62.052~78.116

77.778

52.672

26.108<0.001

病理分化

低分化

中+高分化

64.908

87.606

52.291~77.525

83.940~91.272

47.541

74.272

14.723<0.001

甲状软骨板累及

86.757

65.196

83.144~90.371

48.735~81.656

72.789

43.750

11.9920.001

淋巴结转移

88.984

61.431

85.359~92.609

50.596~72.266

74.631

47.761

28.793<0.001

年龄

<60岁

≥60岁

90.846

81.306

85.451~96.242

76.620~85.991

77.325

67.110

6.2560.012

凝血功能

正常

异常

88.411

74.446

84.610~92.212

65.512~83.379

77.839

51.430

11.6850.001

表 2

COX风险模型分析:分型、年龄、PLR为独立危险因素"

变量HRHR(CIBP
分型0.6400.424~0.964-0.4470.033
PLR2.0111.378~2.9360.699<0.001
年龄1.5371.043~2.2650.4300.030
1 黄选兆, 汪吉宝, 孔维佳. 实用耳鼻咽喉头颈外科学[M]. 北京: 人民卫生出版社,2008:488.
2 FengJF, HuangY, ChenQX. Preoperative platelet lymphocyte ratio (PLR) is superior to neutrophil lymphocyte ratio (NLR) as a predictive factor in patients with esophageal squamous cell carcinoma[J]. World J Surg Oncol, 2014, 12: 58. doi:10.1186/1477-7819-12-58.
doi: 10.1186/1477-7819-12-58
3 IshizukaM, NagataH, TakagiK, et al. Combination of platelet count and neutrophil to lymphocyte ratio is a useful predictor of postoperative survival in patients with colorectal cancer[J]. Br J Cancer, 2013, 109(2): 401-407. doi:10.1038/bjc.2013.350.
doi: 10.1038/bjc.2013.350
4 RussoA, FranchinaT, RicciardiGRR, et al. Baseline neutrophilia, derived neutrophil-to-lymphocyte ratio (dNLR), platelet-to-lymphocyte ratio (PLR), and outcome in non small cell lung cancer (NSCLC) treated with Nivolumab or Docetaxel[J]. J Cell Physiol, 2018, 233(10): 6337-6343. doi:10.1002/jcp.26609.
doi: 10.1002/jcp.26609
5 KangMY, JeongCW, KwakC, et al. Preoperative neutrophil-lymphocyte ratio can significantly predict mortality outcomes in patients with non-muscle invasive bladder cancer undergoing transurethral resection of bladder tumor[J]. Oncotarget, 2017, 8(8): 12891-12901. doi:10. 18632/oncotarget.14179.
doi: 10. 18632/oncotarget.14179
6 SabrkhanyS, GriffioenAW, Oude EgbrinkMG. The role of blood platelets in tumor angiogenesis[J]. Biochim Biophys Acta, 2011, 1815(2): 189-196. doi:10.1016/j.bbcan. 2010.12.001.
doi: 10.1016/j.bbcan. 2010.12.001
7 MantovaniA, AllavenaP, SicaA, et al. Cancer-related inflammation[J]. Nature, 2008, 454(7203): 436-444. doi:10.1038/nature07205.
doi: 10.1038/nature07205
8 GrenaderT, NashS, PlotkinY, et al. Derived neutrophil lymphocyte ratio may predict benefit from cisplatin in the advanced biliary cancer: the ABC-02 and BT-22 studies[J]. Ann Oncol, 2015, 26(9): 1910-1916. doi:10.1093/annonc/mdv253.
doi: 10.1093/annonc/mdv253
9 KucharczykJ, SullivanC, LuJ, et al. Prognostic and predictive value of pretreatment derived neutrophil-to-lymphocyte ratio in non-small-cell lung cancer patients treated with an immune checkpoint inhibitor[J]. JCT, 2018, 9(1): 23-34. doi:10.4236/jct.2018.91004.
doi: 10.4236/jct.2018.91004
10 DiricanA, KucukzeybekBB, AlacaciogluA, et al. Do the derived neutrophil to lymphocyte ratio and the neutrophil to lymphocyte ratio predict prognosis in breast cancer?[J]. Int J Clin Oncol, 2015, 20(1): 70-81. doi:10.1007/s10147-014-0672-8.
doi: 10.1007/s10147-014-0672-8
11 EthierJL, DesautelsD, TempletonA, et al. Prognostic role of neutrophil-to-lymphocyte ratio in breast cancer: a systematic review and meta-analysis[J]. Breast Cancer Res, 2017, 19(1): 2. doi:10.1186/s13058-016-0794-1.
doi: 10.1186/s13058-016-0794-1
12 ChenL, ZhangF, ShengXG, et al. Peripheral platelet/lymphocyte ratio predicts lymph node metastasis and acts as a superior prognostic factor for cervical cancer when combined with neutrophil: lymphocyte[J]. Medicine (Baltimore), 2016, 95(32): e4381. doi:10.1097/MD. 000-0000000004381.
doi: 10.1097/MD. 000-0000000004381
13 JainS, HarrisJ, WareJ. Platelets: linking hemostasis and cancer[J]. Arterioscler Thromb Vasc Biol, 2010, 30(12): 2362-2367. doi:10.1161/ATVBAHA.110.207514.
doi: 10.1161/ATVBAHA.110.207514
14 SuzukiK, AiuraK, UedaM, et al. The influence of platelets on the promotion of invasion by tumor cells and inhibition by antiplatelet agents[J]. Pancreas, 2004, 29(2): 132-140.
[1] 刘佳珲,田汝宪,李玉梅,宋西成. 构建铜死亡相关lncRNA模型评估头颈鳞状细胞癌预后[J]. 山东大学耳鼻喉眼学报, 2026, 40(2): 49-64.
[2] 缪红利,张妍春,郝琳娜,唐乐,何英楠. 活动性眼弓形虫病临床特征及预后分析[J]. 山东大学耳鼻喉眼学报, 2026, 40(1): 82-89.
[3] 彭中华,陈竹,袁洛花,余绍兰,马玉玲. 原发性鼻腔高级别非肠型腺癌1例并文献复习[J]. 山东大学耳鼻喉眼学报, 2026, 40(1): 95-98.
[4] 李赞,卢奇,申卫东,侯昭晖,吴南. 坏死性外耳道炎临床诊治18例[J]. 山东大学耳鼻喉眼学报, 2025, 39(6): 17-22.
[5] 刘玉柱,陈尧,苑铁君,李春森,李波. 喉纤维肉瘤1例并相关文献复习[J]. 山东大学耳鼻喉眼学报, 2025, 39(6): 133-137.
[6] 刘南仙,杨泽垠,韩琳,张爱英,赵宇亮,薛静,孙怡君,邵永良. 视频脑电图在儿童复发性眩晕诊断中的意义[J]. 山东大学耳鼻喉眼学报, 2025, 39(5): 20-25.
[7] 王再兴,唐志元,李定波,石照辉,曾宪海,张秋航. 鼻咽癌放疗后肿瘤复发及颅底骨坏死引起颈内动脉破裂的治疗方案[J]. 山东大学耳鼻喉眼学报, 2025, 39(4): 49-58.
[8] 黄佳丽,刘梓琪,徐娟,陈曦,张立庆,周涵. 咽部梭形细胞鳞状细胞癌的临床及预后分析[J]. 山东大学耳鼻喉眼学报, 2025, 39(2): 94-100.
[9] 王文晴,张丹,朱梦迪,王路阳,杨培培,孙思思,张秋敏,周慧. 慢性鼻窦炎伴鼻息肉复发手术时临床及组织病理学特征变化[J]. 山东大学耳鼻喉眼学报, 2025, 39(1): 46-53.
[10] 赵佳宁,崔元馨,王丹,赵明. 咽喉反流与复发性呼吸道乳头状瘤病的关系及其机制探讨[J]. 山东大学耳鼻喉眼学报, 2024, 38(6): 39-45.
[11] 李婷,赵冲,吴献. 鼻黏膜组织中miR-34a表达与慢性鼻窦炎患者术后复发的关系[J]. 山东大学耳鼻喉眼学报, 2024, 38(5): 20-25.
[12] 李美辰,陈海玲,李阳,马登殿. 下鼻甲黏液囊肿1例并文献复习[J]. 山东大学耳鼻喉眼学报, 2024, 38(5): 91-94.
[13] 杨开炎, 唐凤珠, 覃启才, 李旭祥, 冯大益, 农丰靖, 杨秋云. 异常纺锤体样小头畸形相关蛋白在鼻咽癌中的表达及其临床意义[J]. 山东大学耳鼻喉眼学报, 2024, 38(3): 18-25.
[14] 王凯健,陈雪生,王威. 血小板-淋巴细胞比值与喉鳞状细胞癌预后相关性的Meta分析[J]. 山东大学耳鼻喉眼学报, 2024, 38(3): 67-73.
[15] 张佳佳,石安妮,邢御,洪玉颖,白鹏. 针刺联合西药治疗全聋型突发性聋1例与文献复习[J]. 山东大学耳鼻喉眼学报, 2024, 38(3): 88-92.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!