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Haitao Zhao 2 Articles
Gastrointestinal cancer
Comparison of the Prognostic Value of Platelet-Related Indices in Biliary Tract Cancer Undergoing Surgical Resection
Lejia Sun, Yuxi Wei, Yang Chen, Wenmo Hu, Xin Ji, Haifeng Xu, Shunda Du, Haitao Zhao, Xin Lu, Xinting Sang, Shouxian Zhong, Huayu Yang, Yilei Mao
Cancer Res Treat. 2021;53(2):528-540.   Published online November 23, 2020
DOI: https://doi.org/10.4143/crt.2020.833
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Platelet-related indices, including mean platelet volume (MPV) and plateletocrit (PCT), have been reported as new prognostic factors of overall survival (OS) in many cancers, but not yet in biliary tract cancer (BTC). We intended to assess these indices in predicting OS in BTC patients with the aim to build a new prognostic model for patients with BTC after surgical resection.
Materials and Methods
Survival analysis and time receiver operating characteristic analysis were applied to screen the platelet indices. Univariate and multivariate Cox analyses were used to identify independent prognostic factors and develop a new prognostic model. Harrell’s C-statistics, calibration curves, and decisive curve analysis were used to assess the model.
Results
MPV and platelet distribution width (PDW)/PCT showed the best prognostic accuracy among the platelet indices. In multivariable analysis, factors predictive of poor OS were presence of nodal involvement, Non-radical surgery, poor tumor differentiation, carbohydrate antigen 19-9 > 100 U/mL, MPV > 8.1 fl, and PDW/PCT > 190. The new model was found to be superior to the TNM staging system and our new staging system showed higher discriminative power.
Conclusion
MPV and PDW/PCT have high prognostic value in BTC patients, and the novel staging system based on these two indices showed good discrimination and accuracy compared with the American Joint Committee on Cancer 7th TNM staging system.

Citations

Citations to this article as recorded by  
  • Mean platelet volume/platelet count ratio in combination with tumor markers in colorectal cancer: a retrospective clinical study
    Huan Zhang, Fan Lin, Zhuocai Wang
    BMC Cancer.2023;[Epub]     CrossRef
  • Thrombocytopenia as an important determinant of poor prognosis in patients with pyogenic liver abscess: a retrospective case series
    Sheng-zhong Li, Shao-hua Liu, Meng Hao, Tian Yu, Song Hu, Li Liu, Zhe-long Liu
    Frontiers in Surgery.2023;[Epub]     CrossRef
  • Prognostic value of platelet count-related ratios on admission in patients with pyogenic liver abscess
    Shixiao Li, Sufei Yu, Jiajia Qin, Minfei Peng, Jiao Qian, Peng Zhou
    BMC Infectious Diseases.2022;[Epub]     CrossRef
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  • 4 Web of Science
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High Systemic Inflammation Response Index (SIRI) Indicates Poor Outcome in Gallbladder Cancer Patients with Surgical Resection: A Single Institution Experience in China
Lejia Sun, Wenmo Hu, Meixi Liu, Yang Chen, Bao Jin, Haifeng Xu, Shunda Du, Yiyao Xu, Haitao Zhao, Xin Lu, Xinting Sang, Shouxian Zhong, Huayu Yang, Yilei Mao
Cancer Res Treat. 2020;52(4):1199-1210.   Published online July 21, 2020
DOI: https://doi.org/10.4143/crt.2020.303
AbstractAbstract PDFPubReaderePub
Purpose
The systemic inflammation response index (SIRI) has been reported to have prognostic ability in various solid tumors but has not been studied in gallbladder cancer (GBC). We aimed to determine its prognostic value in GBC.
Materials and Methods
From 2003 to 2017, patients with confirmed GBC were recruited. To determine the SIRI’s optimal cutoff value, a time-dependent receiver operating characteristic curve was applied. Univariate and multivariate Cox analyses were performed for the recognition of significant factors. Then the cohort was randomly divided into the training and the validation set. A nomogram was constructed using the SIRI and other selected indicators in the training set, and compared with the TNM staging system. C-index, calibration plots, and decision curve analysis were performed to assess the nomogram’s clinical utility.
Results
One hundred twenty-four patients were included. The SIRI’s optimal cutoff value divided patients into high (≥ 0.89) and low SIRI (< 0.89) groups. Kaplan-Meier curves according to SIRI levels were significantly different (p < 0.001). The high SIRI group tended to stay longer in hospital and lost more blood during surgery. SIRI, body mass index, weight loss, carbohydrate antigen 19-9, radical surgery, and TNM stage were combined to generate a nomogram (C-index, 0.821 in the training cohort, 0.828 in the validation cohort) that was significantly superior to the TNM staging system both in the training (C-index, 0.655) and validation cohort (C-index, 0.649).
Conclusion
The SIRI is an independent predictor of prognosis in GBC. A nomogram based on the SIRI may help physicians to precisely stratify patients and implement individualized treatment.

Citations

Citations to this article as recorded by  
  • Combining systemic inflammatory response index and albumin fibrinogen ratio to predict early serious complications and prognosis after resectable gastric cancer
    Jing-Yao Ren, Da Wang, Li-Hui Zhu, Shuo Liu, Miao Yu, Hui Cai
    World Journal of Gastrointestinal Oncology.2024; 16(3): 732.     CrossRef
  • Association of Systemic Inflammation Response Index with Short-Term All-Cause Mortality in Decompensated Liver Cirrhosis Patients
    Jin Cheng, Honglei Ju, Guixiang Wang, Chiyi He, Wei Wang
    Journal of Inflammation Research.2024; Volume 17: 8985.     CrossRef
  • The role of systemic inflammatory response index (SIRI) and tumor-infiltrating lymphocytes (TILs) in the prognosis of patients with laryngeal squamous cell carcinoma
    Tian Wang, Duo Zhang, Di Tang, Yu Heng, Li-ming Lu, Lei Tao
    Journal of Cancer Research and Clinical Oncology.2023; 149(9): 5627.     CrossRef
  • Preoperative Fibrinogen Albumin Ratio is an Effective Biomarker for Prognostic Evaluation of Gallbladder Carcinoma After Radical Resection: A 10-Year Retrospective Study at a Single Center
    Qi Li, Jian Zhang, Qi Gao, Jialu Fu, Mengke Li, Hengchao Liu, Chen Chen, Dong Zhang, Zhimin Geng
    Journal of Inflammation Research.2023; Volume 16: 677.     CrossRef
  • Preoperative systemic inflammatory response index predicts the prognosis of patients with hepatocellular carcinoma after liver transplantation
    Songping Cui, Shuang Cao, Qing Chen, Qiang He, Ren Lang
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Assessment of aggregate index of systemic inflammation and systemic inflammatory response index in dry age-related macular degeneration: a retrospective study
    Naif S. Sannan
    Frontiers in Medicine.2023;[Epub]     CrossRef
  • Value of preoperative systemic inflammatory response index and prognostic nutritional index in predicting prognosis of patients with superficial esophageal squamous cell carcinoma
    Jing Wang, Xue-Li Ding, Zi-Bin Tian
    World Chinese Journal of Digestology.2023; 31(9): 369.     CrossRef
  • The Prognostic Value and Potential Mechanism of Tumor-Nutrition-Inflammation Index and Genes in Patients with Advanced Lung Cancer
    Huan Wang, Yuting Shi, Yueli Shi, Mengqing Cao, Long Zhang, Yuan Wu, Yun Xu, Kai Wang, Xianwu Weng, Bing Niu
    International Journal of Clinical Practice.2023; 2023: 1.     CrossRef
  • The Potential Value of Systemic Inflammation Response Index on Delirium After Hip Arthroplasty Surgery in Older Patients: A Retrospective Study
    Wenbin Lu, Shengwei Lin, Cheng Wang, Peipei Jin, Jinjun Bian
    International Journal of General Medicine.2023; Volume 16: 5355.     CrossRef
  • Systemic Inflammation Response Index (SIRI) Independently Predicts Survival in Advanced Lung Adenocarcinoma Patients Treated with First-Generation EGFR-TKIs
    Shun Jiang, Sisi Wang, Qianqian Wang, Chao Deng, Yuhua Feng, Fang Ma, Jin'an Ma, Xianling Liu, Chunhong Hu, Tao Hou
    Cancer Management and Research.2021; Volume 13: 1315.     CrossRef
  • The Prognostic Value of Preoperative Systemic Inflammatory Response Index (SIRI) in Patients With High-Grade Glioma and the Establishment of a Nomogram
    Qian He, Longhao Li, Qinglan Ren
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Prognostic Value of Inflammatory Biomarkers in Patients With Stage I Lung Adenocarcinoma Treated With Surgical Dissection
    Yu-Jia Shen, Li-Qiang Qian, Zheng-Ping Ding, Qing-Quan Luo, Heng Zhao, Wu-Yan Xia, Yuan-Yuan Fu, Wen Feng, Qin Zhang, Wen Yu, Xu-Wei Cai, Xiao-Long Fu
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • 8,865 View
  • 114 Download
  • 26 Web of Science
  • 12 Crossref
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