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Lu-Lu Zhang 2 Articles
Risk Assessment of Secondary Primary Malignancies in Nasopharyngeal Carcinoma: A Big-Data Intelligence Platform-Based Analysis of 6,377 Long-term Survivors from an Endemic Area Treated with Intensity-Modulated Radiation Therapy during 2003-2013
Lu-Lu Zhang, Guo-Hong Li, Yi-Yang Li, Zhen-Yu Qi, Ai-Hua Lin, Ying Sun
Cancer Res Treat. 2019;51(3):982-991.   Published online October 11, 2018
DOI: https://doi.org/10.4143/crt.2018.298
AbstractAbstract PDFPubReaderePub
Purpose
The incidence, risk factors and survival impact of secondary primary malignancies (SPMs) among survivors of nasopharyngeal carcinoma (NPC) treated with definitive intensity-modulated radiation therapy (IMRT) with or without chemotherapy are poorly characterized.
Methods
and Materials Consecutive patients (n=6,377) from the big-data intelligence platform at Sun Yat-sen University Cancer Center, China (in a high-incidence area) with newly diagnosed non-metastatic pathologically proven non-keratinizing undifferentiated NPC treated with IMRT±chemotherapy between January 2003 and June 2013 were retrospectively analyzed. Cumulative incidence of SPMs was calculated using the Kaplan-Meier method. Cox proportional hazards model was used to identify potential risk factors for SPMs and assess whether SPMs affect overall survival.
Results
Of the 6,377 patients, 189 (3.0%) suffered SPMs (median follow-up, 62 months). One-, 2-, 3-, 4-, and 5-cumulative risks of SPMs were 0.4%, 0.9%, 1.6%, 2.2%, and 2.6%, respectively. Latency from start of IMRT to SPMs diagnosis was 37 months (range, 6 to 102 months). In patients with SPMs, 14.3% suffered SPMs within 1 year post-IMRT: 1-3 years, 38.1%; 3-5 years, 33.9%; and >5 years, 13.7%. Lung cancer was the most common SPM (50/6,377, 0.78%). Multivariate analysis demonstrated sex (male, 64% increase), age (≥50 years, 68% increase), and smoking history (41% increase) were significant risk factors for SPMs, and SPMs were associated with poorer overall survival.
Conclusion
This large cohort study confirms SPMs a dreadful complication for long-term survivors of NPC treated with IMRT. SPMs negatively impact overall survival in NPC. Close follow-up is recommended for older male survivors with a smoking history.

Citations

Citations to this article as recorded by  
  • Age-specific characteristics of head and neck second primary malignancies in patients treated for nasopharyngeal carcinoma: a retrospective study
    Q. Jiang, T. Xu, M. Zeng, Y. He, Y. Cai, Z. Huang
    International Journal of Oral and Maxillofacial Surgery.2024; 53(1): 11.     CrossRef
  • The prevalence of gastroesophageal reflux disease and laryngopharyngeal reflux in patients with dysphagia after radiotherapy for nasopharyngeal carcinoma
    Peter K. M. Ku, Alexander C. Vlantis, Thomas S. C. Hui, Zenon W. C. Yeung, Ryan H. W. Cho, Marc H. K. Wong, Alex K. F. Lee, David C. M. Yeung, Simon Y. P. Chan, Becky Y. T. Chan, Wai‐tsz Chang, Florence Mok, Kam‐hung Wong, Jeffrey K. T. Wong, Victor Abdul
    Head & Neck.2024; 46(7): 1637.     CrossRef
  • Maxillary sinus anterior wall recurrence after intensity-modulated radiotherapy for nasopharyngeal carcinoma
    Y Fang, L Wang, X Chen, C Cao
    International Journal of Radiation Research.2024; 22(3): 803.     CrossRef
  • Detection and staging of recurrent or metastatic nasopharyngeal carcinoma in the era of FDG PET/MR
    Yongfeng Piao, Caineng Cao, Yuanfan Xu, Shuang Huang, Feng Jiang, Ting Jin, Qifeng Jin, Yonghong Hua, Qiaoying Hu, Xiaozhong Chen
    European Archives of Oto-Rhino-Laryngology.2022; 279(1): 353.     CrossRef
  • Second Primary Lung Adenocarcinoma After Intensity-Modulated Radiotherapy for Nasopharyngeal Carcinoma
    Fen Xue, Xiaoshuang Niu, Chaosu Hu, Xiayun He
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Racial and ethnic disparities in nasopharyngeal cancer with an emphasis among Asian Americans
    Qian Wang, Hui Xie, Yannan Li, Nicholas Theodoropoulos, Yaning Zhang, Changchuan Jiang, Chi Wen, Laura S. Rozek, Paolo Boffetta
    International Journal of Cancer.2022; 151(8): 1291.     CrossRef
  • Factors associated with the development of second primary tumours in head and neck cancer patients
    Inmaculada Salcedo‐Bellido, Pilar Requena, Rocío Mateos, Carmen Ortega‐Rico, Rocío Olmedo‐Requena, Macarena Lozano‐Lorca, Juan Pedro Arrebola, Rocío Barrios‐Rodríguez
    European Journal of Cancer Care.2022;[Epub]     CrossRef
  • Nasopharyngeal carcinoma: an evolving paradigm
    Kenneth C. W. Wong, Edwin P. Hui, Kwok-Wai Lo, Wai Kei Jacky Lam, David Johnson, Lili Li, Qian Tao, Kwan Chee Allen Chan, Ka-Fai To, Ann D. King, Brigette B. Y. Ma, Anthony T. C. Chan
    Nature Reviews Clinical Oncology.2021; 18(11): 679.     CrossRef
  • The Chinese Society of Clinical Oncology (CSCO) clinical guidelines for the diagnosis and treatment of nasopharyngeal carcinoma
    Ling‐Long Tang, Yu‐Pei Chen, Chuan‐Ben Chen, Ming‐Yuan Chen, Nian‐Yong Chen, Xiao‐Zhong Chen, Xiao‐Jing Du, Wen‐Feng Fang, Mei Feng, Jin Gao, Fei Han, Xia He, Chao‐Su Hu, De‐sheng Hu, Guang‐Yuan Hu, Hao Jiang, Wei Jiang, Feng Jin, Jin‐Yi Lang, Jin‐Gao Li,
    Cancer Communications.2021; 41(11): 1195.     CrossRef
  • Radiation-induced second primary squamous cell carcinoma of the oral cavity after radiotherapy for nasopharyngeal carcinoma
    Chao Liu, Lieqiang Liao, Guoying Wu, Honghong Yan, Xiaoqi Chen, Chao Wang, Xiajing Zheng, Ziyi Zeng, Zheng Zhao, Di Wu, Xuekui Liu
    Oral Oncology.2020; 109: 104863.     CrossRef
  • Second primary cancer after intensity-modulated radiotherapy for nasopharyngeal carcinoma: A territory-wide study by HKNPCSG
    James C.H. Chow, Anthony H.P. Tam, Ka-Man Cheung, Victor H.F. Lee, Chi-Leung Chiang, Macy Tong, Edwin C.Y. Wong, Alice K.W. Cheung, Sunny P.C. Chan, Jessica W.Y. Lai, Roger K.C. Ngan, Wai-Tong Ng, Anne W.M. Lee, Kwok-Hung Au
    Oral Oncology.2020; 111: 105012.     CrossRef
  • 6,883 View
  • 150 Download
  • 15 Web of Science
  • 11 Crossref
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Proposal of a Pretreatment Nomogram for Predicting Local Recurrence after Intensity-Modulated Radiation Therapy in T4 Nasopharyngeal Carcinoma: A Retrospective Review of 415 Chinese Patients
Lu-Lu Zhang, Yi-Yang Li, Jiang Hu, Guan-Qun Zhou, Lei Chen, Wen-Fei Li, Ai-Hua Lin, Jun Ma, Zhen-Yu Qi, Ying Sun
Cancer Res Treat. 2018;50(4):1084-1095.   Published online November 15, 2017
DOI: https://doi.org/10.4143/crt.2017.359
AbstractAbstract PDFPubReaderePub
Purpose
Local relapse-free survival (LRFS) differs widely among patients with T4 category nasopharyngeal carcinoma (NPC). We aimed to build a nomogram incorporating clinicopathological information to predict LRFS in T4 NPC after definitive intensity-modulated radiation therapy (IMRT).
Materials and Methods
Retrospective study of 415 Chinese patients with non-metastatic T4 NPC treated with definitive IMRT with or without chemotherapy at our cancer center between October 2009 and September 2013. The nomogram for LRFS at 3 and 5 years was generated based on multivariate Cox proportional hazards regression, and validated using bootstrap resampling, assessing discriminative performance using the concordance index (C-index) and determining calibration ability via calibration curves.
Results
Five-year LRFS was 88.8%. We identified and incorporated four independent prognostic factors for LRFS: ethmoid sinus invasion, primary gross tumor volume, age, and pretreatment body mass index. The C-index of the nomogram for local recurrence was 0.732 (95% confidence interval, 0.726 to 0.738), indicating excellent predictive accuracy. The calibration curve revealed excellent agreement between nomogram-predicted and observed LRFS probabilities. Risk subgroups based on total point score cutoff values enabled effective discrimination of LRFS.
Conclusion
This pretreatment nomogram enables clinicians to accurately predict LRFS in T4 NPC after definitive IMRT, and could help to facilitate personalized patient counselling and treatment strategies.

Citations

Citations to this article as recorded by  
  • Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review
    Zipei Wang, Mengjie Fang, Jie Zhang, Linquan Tang, Lianzhen Zhong, Hailin Li, Runnan Cao, Xun Zhao, Shengyuan Liu, Ruofan Zhang, Xuebin Xie, Haiqiang Mai, Sufang Qiu, Jie Tian, Di Dong
    IEEE Reviews in Biomedical Engineering.2024; 17: 118.     CrossRef
  • Novel prediction model combining PET/CT metabolic parameters, inflammation markers, and TNM stage: prospects for personalizing prognosis in nasopharyngeal carcinoma
    Huan Liang, Weilin Tan, Jie Wang, Mengdan Li, Hua Pang, Xiaohui Wang, Lu Yang, Xingguo Jing
    Annals of Nuclear Medicine.2024; 38(10): 802.     CrossRef
  • Can Epstein–Barr virus‐deoxyribonucleic acid load after induction chemotherapy combined with American Joint Committee on Cancer stage determine the chemotherapy intensity of locally advanced nasopharyngeal carcinoma?
    Qun Zhang, Zhen‐Wei Peng, Zhuo‐Sheng Gu, Yan Wang, Fang He, Wen‐Bin Zhao, Wei Luo, Yong‐Yu Mei
    Cancer Medicine.2023; 12(1): 223.     CrossRef
  • Prioritizing sufficient dose to gross tumor volume over normal tissue sparing in intensity‐modulated radiotherapy treatment of T4 nasopharyngeal carcinoma
    Yanyan Chen, Quxia Zhang, Tianzhu Lu, Cairong Hu, Jingfeng Zong, Yun Xu, Wei Zheng, Lisha Chen, Senan Lin, Sufang Qiu, Luying Xu, Jianji Pan, Qiaojuan Guo, Shaojun Lin
    Head & Neck.2023; 45(5): 1130.     CrossRef
  • Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma
    Bingxin Gu, Mingyuan Meng, Mingzhen Xu, David Dagan Feng, Lei Bi, Jinman Kim, Shaoli Song
    European Journal of Nuclear Medicine and Molecular Imaging.2023; 50(13): 3996.     CrossRef
  • Prognostic significance of AKR1C4 and the advantage of combining EBV DNA to stratify patients at high risk of locoregional recurrence of nasopharyngeal carcinoma
    Shan-Shan Guo, Yan-Zhou Chen, Li-Ting Liu, Rong-Ping Liu, Yu-Jing Liang, Dong-Xiang Wen, Jing Jin, Lin-Quan Tang, Hai-Qiang Mai, Qiu-Yan Chen
    BMC Cancer.2022;[Epub]     CrossRef
  • DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT
    Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim
    IEEE Journal of Biomedical and Health Informatics.2022; 26(9): 4497.     CrossRef
  • Development and Validation of Prognostic Nomograms Based on Gross Tumor Volume and Cervical Nodal Volume for Nasopharyngeal Carcinoma Patients With Concurrent Chemoradiotherapy
    Cui-Dai Zhang, Mei Li, Ying-Ji Hong, Ze-Man Cai, Kai-Chun Huang, Zhi-Xiong Lin, Zhi-Ning Yang
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Development and Validation of Web-Based Nomograms to Precisely Predict Survival Outcomes of Non-metastatic Nasopharyngeal Carcinoma in an Endemic Area
    Ji-Jin Yao, Li Lin, Tian-Sheng Gao, Wang-Jian Zhang, Wayne R. Lawrence, Jun Ma, Ying Sun
    Cancer Research and Treatment.2021; 53(3): 657.     CrossRef
  • Nomogram predict relapse-free survival of patients with thymic epithelial tumors after surgery
    Yang-Yu Huang, Lei-Lei Wu, Xuan Liu, Shen-Hua Liang, Guo-Wei Ma
    BMC Cancer.2021;[Epub]     CrossRef
  • Establishment and validation of a nomogram with intratumoral heterogeneity derived from 18F-FDG PET/CT for predicting individual conditional risk of 5-year recurrence before initial treatment of nasopharyngeal carcinoma
    Bingxin Gu, Jianping Zhang, Guang Ma, Shaoli Song, Liqun Shi, Yingjian Zhang, Zhongyi Yang
    BMC Cancer.2020;[Epub]     CrossRef
  • Prognostic Nomogram for Patients with Radical Surgery for Non-Metastatic Colorectal Cancer Incorporating Hematological Biomarkers and Clinical Characteristics


    Peiyun Long, Youya Zang, Huan Wang, Xiumei Liang, Xuekun Xie, Zhiwei Han, Dongyi Lin, Zongyu Wang, Shan Huang, Chuang Chen
    OncoTargets and Therapy.2020; Volume 13: 2093.     CrossRef
  • Impact of Paranasal Sinus Invasion on Oncologic and Dosimetric Outcomes in Nasopharyngeal Carcinoma Following Intensity-Modulated Radiation Therapy—Implications for Risk Stratification and Planning Optimization
    Xin Zhou, Xiayun He, Fen Xue, Xiaomin Ou, Chaosu Hu
    Frontiers in Oncology.2020;[Epub]     CrossRef
  • Role of IMRT/VMAT-Based Dose and Volume Parameters in Predicting 5-Year Local Control and Survival in Nasopharyngeal Cancer Patients
    Nicola Alessandro Iacovelli, Alessandro Cicchetti, Anna Cavallo, Salvatore Alfieri, Laura Locati, Eliana Ivaldi, Rossana Ingargiola, Domenico A. Romanello, Paolo Bossi, Stefano Cavalieri, Chiara Tenconi, Silvia Meroni, Giuseppina Calareso, Marco Guzzo, Ce
    Frontiers in Oncology.2020;[Epub]     CrossRef
  • Development of a Nomogram Model for Treatment of Nonmetastatic Nasopharyngeal Carcinoma
    Lu-Lu Zhang, Fei Xu, Di Song, Meng-Yao Huang, Yong-Shi Huang, Qi-Ling Deng, Yi-Yang Li, Jian-Yong Shao
    JAMA Network Open.2020; 3(12): e2029882.     CrossRef
  • Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups
    En-Hong Zhuo, Wei-Jing Zhang, Hao-Jiang Li, Guo-Yi Zhang, Bing-Zhong Jing, Jian Zhou, Chun-Yan Cui, Ming-Yuan Chen, Ying Sun, Li-Zhi Liu, Hong-Min Cai
    European Radiology.2019; 29(10): 5590.     CrossRef
  • Impact of paranasal sinus invasion on advanced nasopharyngeal carcinoma treated with intensity‐modulated radiation therapy: the validity of advanced T stage of AJCC/UICC eighth edition staging system
    Ying Wang, Jie Zhao, Yajie Zhao, Zhen Yang, Mingjun Lei, Zhanzhan Li, Rui Wei, Dengming Chen, Yuxiang He, Liangfang Shen
    Cancer Medicine.2018; 7(7): 2826.     CrossRef
  • 8,606 View
  • 200 Download
  • 18 Web of Science
  • 17 Crossref
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