Prognostic value of inflammation-based prognostic index in patients with nasopharyngeal carcinoma: a propensity score matching study

被引:27
|
作者
Oei, Ronald Wihal [1 ,2 ]
Ye, Lulu [1 ,2 ]
Kong, Fangfang [1 ,2 ]
Du, Chengrun [1 ,2 ]
Zhai, Ruiping [1 ,2 ]
Xu, Tingting [1 ,2 ]
Shen, Chunying [1 ,2 ]
Wang, Xiaoshen [1 ,2 ]
He, Xiayun [1 ,2 ]
Kong, Lin [1 ,2 ]
Hu, Chaosu [1 ,2 ]
Ying, Hongmei [1 ,2 ]
机构
[1] Fudan Univ, Shanghai Canc Ctr, Dept Radiat Oncol, 270 Dongan Rd, Shanghai 200032, Peoples R China
[2] Shanghai Med Coll, Dept Oncol, Shanghai, Peoples R China
来源
关键词
prognostic nutritional index; systemic immune-inflammation index; nasopharyngeal carcinoma; intensity-modulated radiotherapy; prognostic factor; survival; INTENSITY-MODULATED RADIOTHERAPY; ANTIINFLAMMATORY DRUG-USE; NUTRITIONAL INDEX; CURATIVE RESECTION; CANCER; SURVIVAL; PREDICTS; METASTASIS; CACHEXIA; OUTCOMES;
D O I
10.2147/CMAR.S171239
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: The aim of this article is to investigate the significance of pretreatment prognostic nutritional index (PNI), systemic immune-inflammation index (SII), and their combination in nasopharyngeal carcinoma (NPC) patients receiving intensity-modulated radiotherapy (IMRT). Materials and methods: A total of 585 patients were included. PNI and SII were calculated within 2 weeks prior to treatment. The optimal cutoff points were determined based on receiver operating characteristics curve analysis. The correlation between variables was analyzed. Kaplan-Meier method and Cox proportional hazards model were performed to evaluate the impact of both indices on overall survival (OS), progression-free survival (PFS) and distant metastasis-free survival (DMFS). Further propensity score matching (PSM) was carried out to minimize the effects of confounders. Results: The optimal cutoff point of 53.0 for PNI and 527.20 for SII were selected. Pearson correlation coefficient showed an inverse correlation between PNI and SII (r = -0.232, P < 0.001). Multivariate analysis demonstrated that pretreatment PNI was an independent prognostic factor for OS (P = 0.047) and DMFS (P = 0.002) while pretreatment SII was an independent prognostic factor for OS (P = 0.003), PFS (P = 0.002), and DMFS (P = 0.002). After PSM, both parameters remained as independent prognosticators of survival. Additional prognostic value was observed in the combined use of PNI and SII. Conclusion: Pretreatment PNI and SII are promising indicators of survival in NPC patients undergoing IMRT. They can be utilized to refine current TNM staging system in predicting prognosis and developing an individualized treatment in these patients.
引用
收藏
页码:2785 / 2797
页数:13
相关论文
共 50 条
  • [21] The systemic inflammation-based Glasgow Prognostic Score as a powerful prognostic factor in patients with upper tract urothelial carcinoma
    Inamoto, Teruo
    Matsuyama, Hideyasu
    Sakano, Shigeru
    Ibuki, Naokazu
    Takahara, Kiyoshi
    Komura, Kazumasa
    Takai, Tomoaki
    Tsujino, Takuya
    Yoshikawa, Yuki
    Minami, Koichiro
    Nagao, Kazuhiro
    Inoue, Ryo
    Azuma, Haruhito
    ONCOTARGET, 2017, 8 (68) : 113248 - 113257
  • [22] THE SYSTEMIC INFLAMMATION-BASED GLASGOW PROGNOSTIC SCORE AS A POWERFUL PROGNOSTIC FACTOR IN PATIENTS WITH UPPER TRACT UROTHELIAL CARCINOMA
    Inamoto, Teruo
    Sakano, Shigeru
    Takai, Tomoaki
    Komura, Kazumasa
    Uchimoto, Taizo
    Saito, Kenkichi
    Tanda, Naoki
    Minami, Koichiro
    Nagao, Kazuhiro
    Inoue, Ryo
    Takahara, Kiyoshi
    Matsuyama, Hideyasu
    Azuma, Haruhito
    JOURNAL OF UROLOGY, 2015, 193 (04): : E64 - E64
  • [23] Prognostic significance of inflammation-based score in patients with hepatocellular carcinoma after liver transplantation
    Kong, Weihao
    Qu, Enze
    Sheng, Nan
    Zhang, Jianfeng
    Li, Xutong
    Zheng, Jun
    Gao, Yufeng
    EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY, 2021, 33 : E282 - E289
  • [24] Usefulness of Inflammation-Based Prognostic Score in Patients Undergoing Lung Metastasectomy for Colorectal Carcinoma
    Kobayashi, Satoru
    Karube, Yoko
    Nishihira, Morimichi
    Inoue, Takashi
    Araki, Osamu
    Sado, Tetsu
    Chida, Masayuki
    WORLD JOURNAL OF SURGERY, 2016, 40 (07) : 1632 - 1637
  • [25] Inflammation-based Prognostic Score in Patients with Living Donor Liver Transplantation for Hepatocellular Carcinoma
    Harimoto, Norifumi
    Yoshizumi, Tomoharu
    Shimagaki, Tomonari
    Nagatsu, Akihisa
    Motomura, Takashi
    Harada, Noboru
    Okabe, Hirohisa
    Itoh, Shinji
    Ikegami, Toru
    Uchiyama, Hideaki
    Soejima, Yuji
    Maehara, Yoshihiko
    ANTICANCER RESEARCH, 2016, 36 (10) : 5537 - 5542
  • [26] Novel Inflammation-Based Prognostic Score for Predicting Survival in Patients with Metastatic Urothelial Carcinoma
    Su, Yu-Li
    Hsieh, Meng-Che
    Chiang, Po-Hui
    Sung, Ming-Tse
    Lan, Jui
    Luo, Hao-Lun
    Huang, Chun-Chieh
    Huang, Cheng-Hua
    Tang, Yeh
    Rau, Kun-Ming
    PLOS ONE, 2017, 12 (01):
  • [27] Usefulness of Inflammation-Based Prognostic Score in Patients Undergoing Lung Metastasectomy for Colorectal Carcinoma
    Satoru Kobayashi
    Yoko Karube
    Morimichi Nishihira
    Takashi Inoue
    Osamu Araki
    Tetsu Sado
    Masayuki Chida
    World Journal of Surgery, 2016, 40 : 1632 - 1637
  • [28] Systemic immune-inflammation index as a prognostic marker in patients with newly diagnosed metastatic nasopharyngeal carcinoma: a propensity score-matched study
    Lin, Cheng
    Lin, Sheng
    Guo, Qiao-Juan
    Zong, Jing-Feng
    Lu, Tian-Zhu
    Lin, Na
    Lin, Shao-Jun
    Pan, Jian-Ji
    TRANSLATIONAL CANCER RESEARCH, 2019, 8 (05) : 2089 - 2098
  • [29] A novel inflammation-based prognostic score for patients with esophageal squamous cell carcinoma: the c-reactive protein/prognostic nutritional index ratio
    Chen, Sheng
    Yang, Xun
    Feng, Ji-Feng
    ONCOTARGET, 2016, 7 (38) : 62123 - 62132
  • [30] Prognostic value of preoperative systemic inflammation response index in patients with oral squamous cell carcinoma: Propensity score-based analysis
    Lin, Jing
    Chen, Lin
    Chen, Qing
    Zhuang, Zhaocheng
    Bao, Xiaodan
    Qian, Jiawen
    Hong, Yihong
    Yan, Lingjun
    Lin, Lisong
    Shi, Bin
    Qiu, Yu
    Pan, Lizhen
    Wei, Lihong
    Zheng, Xiaoyan
    Wang, Jing
    Liu, Fengqiong
    He, Baochang
    Chen, Fa
    HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK, 2020, 42 (11): : 3263 - 3274