Prognostic value of systemic inflammation response index in hepatoblastoma patients receiving preoperative neoadjuvant chemotherapy

被引:4
|
作者
Zheng, Chen [1 ,2 ,3 ]
Ye, Shiru [1 ]
Liu, Wei [1 ,2 ,3 ]
Diao, Mei [1 ,2 ,3 ]
Li, Long [1 ,2 ,3 ]
机构
[1] Capital Inst Pediat, Dept Pediat Surg, Beijing, Peoples R China
[2] Chinese Acad Med Sci, Grad Sch, Peking Union Med Coll, Beijing, Peoples R China
[3] Chinese Acad Med Sci, Res Unit Minimally Invas Pediat Surg Diag & Treatm, Beijing, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2023年 / 13卷
关键词
systemic inflammation response index; hepatoblastoma; neoadjuvant chemotherapy; prognosis; nomogram; LIVER-TUMORS; PEDIATRIC HEPATOBLASTOMA; SURGICAL RESECTION; STAGING SYSTEM; CANCER; SURVIVAL; CELLS; NEUTROPHILS; CHILDREN; PRETEXT;
D O I
10.3389/fonc.2023.1276175
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: Inflammation is closely associated with tumor development and patient prognosis. The objective of this study is to assess the prognostic value of the preoperative inflammatory indexes in pediatric hepatoblastoma patients who receive neoadjuvant chemotherapy. Methods: A retrospective analysis was performed on clinical and pathological data of 199 hepatoblastoma patients who underwent hepatectomy with preoperative neoadjuvant chemotherapy from January 2015 to June 2020. The receiver operating characteristic curve was used to evaluate the prognostic value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) in predicting OS and EFS. Patients were grouped based on optimal cutoff values of preoperative inflammatory indexes. Survival rates were calculated using the Kaplan-Meier method, and survival outcomes were compared between groups using the log-rank test. Univariate and multivariate Cox proportional hazards regression models were used to identify independent prognostic factors, and a nomogram was constructed using R software to predict the probability of OS. Results: The receiver operating characteristic curve showed prognostic value for OS, not EFS, in preoperative inflammatory indexes. Patients were categorized into low/high groups: SII <= 266.70/higher, NLR <= 1.24/higher, PLR <= 85.25/higher, and SIRI <= 0.72/higher. High NLR, PLR, SII, and SIRI groups had significantly lower 5-year OS than their low counterparts (all p-value < 0.05). The Cox analysis identified four independent prognostic factors: SIRI (HR=2.997, 95% CI: 1.119-8.031), microvascular invasion (HR=2.556, 95% CI: 1.14-5.73), the post-treatment extent of disease (POSTTEXT) staging (IV vs. I: HR=244.204, 95% CI:11.306-5274.556), and alpha-fetoprotein (>100 ng/ml: HR=0.11, 95% CI: 0.032-0.381) for hepatoblastoma patients with neoadjuvant chemotherapy. High SIRI group had more patients with adverse NLR, SII, and POSTTEXT III (all p-value < 0.05). Independent prognostic factors led to an OS nomogram with a concordance index of 0.85 (95% CI: 0.78-0.91, p-value = 1.43e-27) and the calibration curve showed a good fit between the prediction curve and the true curve. Conclusions: SIRI is an independent prognostic factor of hepatoblastoma patients receiving neoadjuvant chemotherapy. The OS nomogram based on SIRI, POSTTEXT staging, MiVI, and AFP can be used to assess the prognosis of those patients.
引用
收藏
页数:14
相关论文
共 50 条
  • [11] The Pretreatment Systemic Inflammation Response Index as a Useful Prognostic Factor is Better Than Lymphocyte to Monocyte Ratio in Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
    Jiang, Cong
    Zhang, Shiyuan
    Qiao, Kun
    Xiu, Yuting
    Yu, Xiao
    Huang, Yuanxi
    CLINICAL BREAST CANCER, 2022, 22 (05) : 424 - 438
  • [12] Preoperative systemic inflammation response index enhances the prognostic value of tumor multifocalityin upper tract urothelial carcinoma
    Yu, Lian-Ching
    Wang, Chu-An
    Hu, Che-Yuan
    Lin, Kun-Che
    Ou, Chien-Hui
    Jan, Hau-Chern
    ONCOLOGY LETTERS, 2024, 28 (03)
  • [13] Prognostic value of the systemic inflammation response index in human malignancy A meta-analysis
    Wei, Lishuang
    Xie, Hailun
    Yan, Ping
    MEDICINE, 2020, 99 (50) : E23486
  • [14] A Novel Prognostic Marker Systemic Inflammation Response Index (SIRI) for Operable Cervical Cancer Patients
    Chao, Bei
    Ju, Xiaoli
    Zhang, Lirong
    Xu, Xin
    Zhao, Yan
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [15] Added value of systemic inflammation markers for monitoring response to neoadjuvant chemotherapy in breast cancer patients
    Ke, Zi-Rui
    Chen, Wei
    Li, Man-Xiu
    Wu, Shun
    Jin, Li-Ting
    Wang, Tie-Jun
    WORLD JOURNAL OF CLINICAL CASES, 2022, 10 (11) : 3389 - 3400
  • [16] Prognostic value of the systemic immune-inflammation index, systemic inflammation response index, and prognostic nutritional index in head and neck cancer
    Akkas, Ebru Atasever
    Erdis, Eda
    Yucel, Birsen
    EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY, 2023, 280 (08) : 3821 - 3830
  • [17] Prognostic value of a modified systemic inflammation score in breast cancer patients who underwent neoadjuvant chemotherapy
    Jiang, Cong
    Xiu, Yuting
    Yu, Xiao
    Qiao, Kun
    Zhang, Shiyuan
    Huang, Yuanxi
    BMC CANCER, 2022, 22 (01)
  • [18] Prognostic value of preoperative systemic immune-inflammation index/albumin for patients with hepatocellular carcinoma undergoing curative resection
    Chen, Kun-Lin
    Qiu, Yi-Wen
    Yang, Ming
    Wang, Tao
    Yang, Yi
    Qiu, Hai-Zhou
    Sun, Ting
    Wang, Wen-Tao
    WORLD JOURNAL OF GASTROENTEROLOGY, 2024, 30 (48) : 5130 - 5151
  • [19] Prognostic Value of Preoperative Systemic Immune-Inflammation Index in Patients with Cervical Cancer
    Huang, Huaping
    Liu, Qin
    Zhu, Lixia
    Zhang, Yan
    Lu, Xiaojuan
    Wu, Yawei
    Liu, Li
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [20] Predictive value of preoperative systemic immune-inflammation index and prognostic nutrition index in patients with epithelial ovarian cancer
    Chen, Jingping
    Jin, Lu
    Luo, Rui
    Zhang, Xiaofei
    Chen, Yizhi
    Han, Ze
    Liu, Tianfeng
    JOURNAL OF OVARIAN RESEARCH, 2025, 18 (01)