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2 "Ming-Yuan Chen"
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Pretreatment Serum Amyloid A and C-reactive Protein Comparing with Epstein-Barr Virus DNA as Prognostic Indicators in Patients with Nasopharyngeal Carcinoma: A Prospective Study
Qiu-Yan Chen, Qing-Nan Tang, Lin-Quan Tang, Wen-Hui Chen, Shan-Shan Guo, Li-Ting Liu, Chao-Feng Li, Yang Li, Yu-Jing Liang, Xue-Song Sun, Ling Guo, Hao-Yuan Mo, Rui Sun, Dong-Hua Luo, Yu-Ying Fan, Yan He, Ming-Yuan Chen, Ka-Jia Cao, Chao-Nan Qian, Xiang Guo, Hai-Qiang Mai
Cancer Res Treat. 2018;50(3):701-711.   Published online July 14, 2017
DOI: https://doi.org/10.4143/crt.2017.180
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
The measuring Epstein-Barr virus (EBV) DNA is an important predictor of nasopharyngeal carcinoma (NPC). This study evaluated the predictive value of pretreatment serum amyloid A (SAA) and C-reactive protein (CRP) comparing with EBV DNA in patients with NPC.
Materials and Methods
In an observational study of 419 non-metastatic NPC patients, we prospectively evaluated the prognostic effects of pretreatment SAA, CRP, and EBV DNA on survival. The primary endpoint was progress-free survival (PFS).
Results
The median level of SAA and CRP was 4.28 mg/L and 1.88 mg/L, respectively. For the highSAA group (> 4.28 mg/L) versus the low-SAA (≤ 4.28 mg/L) group and the high-CRP group (> 1.88 mg/L) versus the low-CRP (≤ 1.88 mg/L) group, the 5-year PFS was 64.5% versus 73.1% (p=0.013) and 65.2% versus 73.3% (p=0.064), respectively. EBV DNA detection showed a superior predictive result, the 5-year PFS in the EBV DNA ≥ 1,500 copies/mL group was obviously different than the EBV DNA < 1,500 copies/mL group (62.2% versus 77.8%, p < 0.001). Multifactorial Cox regression analysis confirmed that in the PFS, the independent prognostic factors were including EBV DNA (hazard ratio [HR], 1.788; p=0.009), tumour stage (HR, 1.903; p=0.021), and node stage (HR, 1.498; p=0.049), but the SAA and CRP were not included in the independent prognostic factors.
Conclusion
The results of SAA and CRP had a certain relationship with the prognosis of NPC, and the prognosis of patients with high level of SAA and CRP were poor. However, the predictive ability of SAA and CRP was lower than that of EBV DNA.

Citations

Citations to this article as recorded by  
  • Development and application of a serious adverse events risk model for concurrent chemoradiotherapy in patients with nasopharyngeal carcinoma
    Jiahui Li, Qianwen Liu, Huiying Qin
    Medicine.2024; 103(34): e39377.     CrossRef
  • Selection of induction chemotherapy cycles for stage N3 nasopharyngeal carcinoma based on pre-treatment plasma EBV DNA
    Youliang Weng, Sunqin Cai, Chao Li, Yun Xu, Yuhui Pan, Zongwei Huang, Ying Li, Zijie Wu, Yu Chen, Sufang Qiu
    Scientific Reports.2024;[Epub]     CrossRef
  • Maintenance therapy improves the survival outcomes of patients with metastatic nasopharyngeal carcinoma responding to first-line chemotherapy: a multicentre, randomized controlled clinical study
    Ying Lu, Haixin Huang, Hui Yang, Xiaohua Hu, Meilian Liu, Changjie Huang, Xianbin Feng, Xishan Chen, Zhou Jiang
    Journal of Cancer Research and Clinical Oncology.2023; 149(8): 4327.     CrossRef
  • Association of Epstein–Barr virus DNA and SAA with S1 maintenance therapy outcomes in patients with metastatic nasopharyngeal carcinoma
    Ying Lu, Zhou Jiang, Huan Lin, Hui Yang, Xishan Chen, Haixin Huang
    Future Oncology.2022; 18(22): 2441.     CrossRef
  • Long‐term monitoring of dynamic changes in plasma EBV DNA for improved prognosis prediction of nasopharyngeal carcinoma
    Wanxia Li, Jing Chen, Bijun Liang, Zonghua Li, Junzheng Li, Xiaofei Yuan, Shuting Wu, Fangfang Zeng, Xinyu Peng, Yanfei Li, Juan Lu, Feipeng Zhao, Xiong Liu
    Cancer Medicine.2021; 10(3): 883.     CrossRef
  • A systematic review and recommendations on the use of plasma EBV DNA for nasopharyngeal carcinoma
    Anne W.M. Lee, Victor H.F. Lee, Wai-Tong Ng, Primož Strojan, Nabil F. Saba, Alessandra Rinaldo, Stefan M. Willems, Juan P. Rodrigo, Arlene A. Forastiere, Alfio Ferlito
    European Journal of Cancer.2021; 153: 109.     CrossRef
  • Prognostic value of Epstein–Barr virus DNA level for nasopharyngeal carcinoma: a meta-analysis of 8128 cases
    Hongling Qu, Yuli Huang, Shufen Zhao, Yuanqing Zhou, Weibiao Lv
    European Archives of Oto-Rhino-Laryngology.2020; 277(1): 9.     CrossRef
  • The prognostic value of integration of pretreatment serum amyloid A (SAA)–EBV DNA (S‐D) grade in patients with nasopharyngeal carcinoma
    Jianpei Li, Changchun Lai, Songguo Peng, Hao Chen, Lei Zhou, Yufeng Chen, Shulin Chen
    Clinical and Translational Medicine.2020;[Epub]     CrossRef
  • Utility of a Simple Scoring System in Differentiating Bacterial Infections in Cases of Fever of Unknown Origin
    Teng Xu, Li Wang, Shi Wu, Fenfen Zhou, Haihui Huang
    Clinical Infectious Diseases.2020; 71(Supplement): S409.     CrossRef
  • The prognostic value of serum amyloid A in solid tumors: a meta-analysis
    Hai-yingjie Lin, Guo-qiang Tan, Yan Liu, Shao-qiang Lin
    Cancer Cell International.2019;[Epub]     CrossRef
  • Molecular Prognostic Value of Circulating Epstein–Barr Viral DNA in Nasopharyngeal Carcinoma: A Meta-Analysis of 27,235 Cases in the Endemic Area of Southeast Asia
    Xulin Xie, Yupei Ren, Kun Wang, Bin Yi
    Genetic Testing and Molecular Biomarkers.2019; 23(7): 448.     CrossRef
  • Rapid detection of quantum dot immune chromatography nasopharyngeal carcinoma EBNA1 antibody
    Jian He, Jing Xu, Ping Wu, Lingfeng Liao, Huatao Quan, Jing Kang, Yongquan Tian, Yaoyun Tang
    Oncology Letters.2018;[Epub]     CrossRef
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The Prognostic Value of Treatment-Related Lymphopenia in Nasopharyngeal Carcinoma Patients
Li-Ting Liu, Qiu-Yan Chen, Lin-Quan Tang, Shan-Shan Guo, Ling Guo, Hao-Yuan Mo, Ming-Yuan Chen, Chong Zhao, Xiang Guo, Chao-Nan Qian, Mu-Sheng Zeng, Jin-Xin Bei, Jing Tan, Shuai Chen, Ming-Huang Hong, Jian-Yong Shao, Ying Sun, Jun Ma, Hai-Qiang Mai
Cancer Res Treat. 2018;50(1):19-29.   Published online April 5, 2017
DOI: https://doi.org/10.4143/crt.2016.595
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
This study was conducted to evaluate the prognostic value of treatment-related lymphopenia in patients with nasopharyngeal carcinoma (NPC).
Materials and Methods
A total of 413 consecutive stage II-IVb NPC patients treated with concurrent chemoradiotherapy (CCRT) were enrolled. The overall survival (OS), progression-free survival (PFS), and distant metastasis-free survival (DMFS) were calculated with the Kaplan-Meier method, and differences were compared using the log-rank test.
Results
A minimum (mini)–absolute lymphocyte counts (ALC) of < 390 cells/μL or ALC after 3 months of CCRT (post3m-ALC) < 705 cells/μL was significantly associated with worse outcome than mini-ALC ≥ 390 cells/μL (OS, p=0.002; PFS, p=0.005; DMFS, p=0.004) or post3m-ALC ≥ 705 cells/μL (OS, p < 0.001; PFS, p < 0.001; DMFS, p=0.001). Patients with lymphopenia (mini-ALC < 390 cells/μL and post3m-ALC < 705 cells/μL) had a worse prognosis than those without lymphopenia (mini-ALC ≥ 390 cells/μL and post3m-ALC ≥ 705 cells/μL) (OS, p < 0.001; PFS, p < 0.001; DMFS, p < 0.001). Multivariate analysis revealed that post3m-ALC was an independent prognostic factor for OS (hazard ratio [HR], 1.76; 95% confidence interval [CI], 1.12 to 2.78; p=0.015), PFS (HR, 1.86; 95% CI, 1.23 to 2.82; p=0.003), and DMFS (HR, 1.87; 95% CI, 1.13 to 3.08; p=0.014). Multivariate analysis also revealed that patients with lymphopenia had a high risk of death (HR, 3.79; 95% CI, 1.75 to 8.19; p=0.001), disease progression (HR, 2.93; 95% CI, 1.59 to 5.41; p=0.001), and distant metastasis (HR, 3.89; 95% CI, 1.67 to 9.10; p=0.002). Multivariate analysis performed with time dependent Cox regression demonstrated ALC was an independent prognostic factor for OS (HR, 0.995; 95% CI, 0.991 to 0.999; p=0.025) and PFS (HR, 0.993; 95% CI, 0.988 to 0.998; p=0.006).
Conclusion
Treatment-related lymphopenia was a poor prognostic factor in NPC patients.

Citations

Citations to this article as recorded by  
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    Jianyun Jiang, Ruiping Zhai, Fangfang Kong, Chengrun Du, Hongmei Ying
    European Archives of Oto-Rhino-Laryngology.2024; 281(1): 181.     CrossRef
  • Radiotherapy alone versus concurrent chemoradiotherapy in patients with stage II and T3N0 nasopharyngeal carcinoma with adverse features: A propensity score-matched cohort study
    Wei-Wei Zhang, Jia-Yi Lin, Gao-Yuan Wang, Cheng-Long Huang, Ling-Long Tang, Yan-Ping Mao, Guan-Qun Zhou, Li-Zhi Liu, Li Tian, Ji-Bin Li, Jun Ma, Rui Guo
    Radiotherapy and Oncology.2024; 194: 110189.     CrossRef
  • Reduced-Volume Irradiation of Uninvolved Neck in Patients With Nasopharyngeal Cancer: Updated Results From an Open-Label, Noninferiority, Multicenter, Randomized Phase III Trial
    Cheng-Long Huang, Ning Zhang, Wei Jiang, Fang-Yun Xie, Xiao-Qing Pei, Shao Hui Huang, Xue-Yan Wang, Yan-Ping Mao, Kun-Peng Li, Qing Liu, Ji-Bin Li, Shao-Qiang Liang, Guan-Jie Qin, Wei-Han Hu, Guan-Qun Zhou, Jun Ma, Ying Sun, Lei Chen, Ling-Long Tang
    Journal of Clinical Oncology.2024; 42(17): 2021.     CrossRef
  • Immunological effects of radiopharmaceutical therapy
    Amanda G. Shea, Malick Bio Idrissou, Ana Isabel Torres, Tessa Chen, Reiner Hernandez, Zachary S. Morris, Quaovi H. Sodji
    Frontiers in Nuclear Medicine.2024;[Epub]     CrossRef
  • Current Status and Future Directions of Proton Therapy for Head and Neck Carcinoma
    Sara Lillo, Alfredo Mirandola, Alessandro Vai, Anna Maria Camarda, Sara Ronchi, Maria Bonora, Rossana Ingargiola, Barbara Vischioni, Ester Orlandi
    Cancers.2024; 16(11): 2085.     CrossRef
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    Ke-gui Weng, Hai-ke Lei, De-Song Shen, Ying Wang, Xiao-Dong Zhu
    Cancer Management and Research.2024; Volume 16: 603.     CrossRef
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    Clinical and Translational Oncology.2024;[Epub]     CrossRef
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    Cancer Biotherapy and Radiopharmaceuticals.2023; 38(6): 380.     CrossRef
  • Meta-analysis and Critical Review: Association Between Radio-induced Lymphopenia and Overall Survival in Solid Cancers
    Yasmine El Houat, Christophe Massard, Veronique Quillien, Renaud de Crevoisier, Joël Castelli
    Advances in Radiation Oncology.2023; 8(2): 101038.     CrossRef
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    Li Wang, Xianfei Qin, Yu Zhang, Shouyu Xue, Xicheng Song
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Prognostic Significance of the Post-Treatment Neutrophil-to-Lymphocyte Ratio in Pharyngeal Cancers Treated with Concurrent Chemoradiotherapy
    Ji Min Yun, Man Ki Chung, Chung Hwan Baek, Young Ik Son, Myung Ju Ahn, Dongryul Oh, Ki Won Kim, Yoon Kyoung So
    Cancers.2023; 15(4): 1248.     CrossRef
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    Zhaodong Fei, Huiling Hong, Ting Xu, Yiying Xu, Jiawei Chen, Xiufang Qiu, Jianming Ding, Ye Feng, Chaoxiong Huang, Li Li, Mengying Li, Chuanben Chen
    BMC Cancer.2023;[Epub]     CrossRef
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    Jinliang Zhang, Li Yang, Hui Li, Jeff W. Chan, Eric K.W. Lee, Min Liu, Lingyu Ma, Qin Liu, Jian-Yue Jin, Pingfu Fu, Zhiyuan Xu, Feng-Ming (Spring) Kong
    Advances in Radiation Oncology.2023; 8(6): 101260.     CrossRef
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    P.A. Laurent, É. Deutsch
    Cancer/Radiothérapie.2023; 27(6-7): 511.     CrossRef
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    Journal of Experimental & Clinical Cancer Research.2023;[Epub]     CrossRef
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    JCO Clinical Cancer Informatics.2023;[Epub]     CrossRef
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    European Archives of Oto-Rhino-Laryngology.2022; 279(8): 3947.     CrossRef
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    Frontiers in Oncology.2022;[Epub]     CrossRef
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    World Journal of Urology.2021; 39(5): 1331.     CrossRef
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    Hui Xu, Maosheng Lin, Yingying Hu, Li Zhang, Qiaoqiao Li, Jinhan Zhu, Shi Wang, Mian Xi
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    Michael I. Koukourakis, Alexandra Giatromanolaki
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    Radiotherapy and Oncology.2021; 158: 175.     CrossRef
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    International Journal of Clinical Oncology.2019; 24(4): 428.     CrossRef
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    Michael D. Schad, Sunil W. Dutta, Donald M. Muller, Krishni Wijesooriya, Timothy N. Showalter
    Advances in Radiation Oncology.2019; 4(2): 323.     CrossRef
  • Clinical predictors of radiation-induced lymphopenia in patients receiving chemoradiation for glioblastoma: clinical usefulness of intensity-modulated radiotherapy in the immuno-oncology era
    Hwa Kyung Byun, Nalee Kim, Hong In Yoon, Seok-Gu Kang, Se Hoon Kim, Jaeho Cho, Jong Geol Baek, Jong Hee Chang, Chang-Ok Suh
    Radiation Oncology.2019;[Epub]     CrossRef
  • Acute severe lymphopenia by radiotherapy is associated with reduced overall survival in hepatocellular carcinoma
    Hwa Kyung Byun, Nalee Kim, Sangjoon Park, Jinsil Seong
    Strahlentherapie und Onkologie.2019; 195(11): 1007.     CrossRef
  • Treatment-Related Lymphopenia Predicts Pathologic Complete Response and Recurrence in Esophageal Squamous Cell Carcinoma Undergoing Neoadjuvant Chemoradiotherapy
    Qiaoqiao Li, Sha Zhou, Shiliang Liu, Songran Liu, Hong Yang, Lei Zhao, Mengzhong Liu, Yonghong Hu, Mian Xi
    Annals of Surgical Oncology.2019; 26(9): 2882.     CrossRef
  • Assessing the interactions between radiotherapy and antitumour immunity
    Clemens Grassberger, Susannah G. Ellsworth, Moses Q. Wilks, Florence K. Keane, Jay S. Loeffler
    Nature Reviews Clinical Oncology.2019; 16(12): 729.     CrossRef
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    Aleksei N. Shoutko
    Advances in Molecular Imaging.2019; 09(02): 19.     CrossRef
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    Sangjoon Park, Hwa Kyung Byun, Jinsil Seong
    Liver Cancer.2019; 8(6): 468.     CrossRef
  • Neutropenia during the First Cycle of Induction Chemotherapy Is Prognostic for Poor Survival in Locoregionally Advanced Nasopharyngeal Carcinoma: A Real-World Study in an Endemic Area
    Cheng Xu, Shi-Ping Yang, Yuan Zhang, Ling-Long Tang, Guan-Qun Zhou, Xu Liu, Yan-Ping Mao, Rui Guo, Wen-Fei Li, Lei Chen, Ai-Hua Lin, Ying Sun, Jun Ma
    Cancer Research and Treatment.2018; 50(3): 777.     CrossRef
  • Field size effects on the risk and severity of treatment-induced lymphopenia in patients undergoing radiation therapy for solid tumors
    Susannah G. Ellsworth
    Advances in Radiation Oncology.2018; 3(4): 512.     CrossRef
  • Turning cold tumors into hot tumors: harnessing the potential of tumor immunity using nanoparticles
    Anne Rodallec, Guillaume Sicard, Raphaelle Fanciullino, Sébastien Benzekry, Bruno Lacarelle, Gerard Milano, Joseph Ciccolini
    Expert Opinion on Drug Metabolism & Toxicology.2018; : 1.     CrossRef
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  • 355 Download
  • 61 Web of Science
  • 55 Crossref
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