Literature DB >> 30192385

The addition of pretreatment plasma Epstein-Barr virus DNA into the eighth edition of nasopharyngeal cancer TNM stage classification.

Victor Ho-Fun Lee1,2, Dora Lai-Wan Kwong1,2, To-Wai Leung1, Cheuk-Wai Choi1, Brian O'Sullivan2,3, Ka-On Lam1,2, Vincent Lai4, Pek-Lan Khong4, Sik-Kwan Chan1, Chor-Yi Ng1, Chi-Chung Tong1, Patty Pui-Ying Ho1, Wing-Lok Chan1, Lai-San Wong1, Dennis Kwok-Chuen Leung1, Sum-Yin Chan1, Tsz-Him So1, Mai-Yee Luk1, Anne Wing-Mui Lee1,2.   

Abstract

The eighth edition of the American Joint Committee on Cancer (AJCC)/Union for International Cancer Control (UICC) stage classification (TNM) for nasopharyngeal carcinoma (NPC) was launched. It remains unknown if incorporation of nonanatomic factors into the stage classification would better predict survival. We prospectively recruited 518 patients with nonmetastatic NPC treated with radical intensity-modulated radiation therapy ± chemotherapy based on the eighth edition TNM. Recursive partitioning analysis (RPA) incorporating pretreatment plasma Epstein-Barr virus (EBV) DNA derived new stage groups. Multivariable analyses to calculate adjusted hazard ratios (AHRs) derived another set of stage groups. Five-year progression-free survival (PFS), overall survival (OS) and cancer-specific survival (CSS) were: Stage I (PFS 100%, OS 90%, CSS 100%), II (PFS 88%, OS 84%, CSS 95%), III (PFS 84%, OS 84%, CSS 90%) and IVA (PFS 71%, OS 75%, CSS 80%) (p < 0.001, p = 0.066 and p = 0.002, respectively). RPA derived four new stages: RPA-I (T1-T4 N0-N2 & EBV DNA <500 copies per mL; PFS 94%, OS 89%, CSS 96%), RPA-II (T1-T4 N0-N2 & EBV DNA ≥500 copies per mL; PFS 80%, OS 83%, CSS 89%), RPA-III (T1-T2 N3; PFS 64%, OS 83%, CSS 83%) and RPA-IVA (T3-T4 N3; PFS 63%, OS 60% and CSS 68%) (all with p < 0.001). AHR using covariate adjustment also yielded a valid classification (I: T1-T2 N0-N2; II: T3-T4 N0-N2 or T1-T2 N3 and III: T3-T4 N3) (all with p < 0.001). However, RPA stages better predicted survival for PS and CSS after bootstrapping replications. Our RPA-based stage groups revealed better survival prediction compared to the eighth edition TNM and the AHR stage groups.
© 2018 UICC.

Entities:  

Keywords:  nasopharyngeal carcinoma; plasma EBV DNA; recursive partitioning analysis; stage classification; survival prediction

Mesh:

Substances:

Year:  2018        PMID: 30192385     DOI: 10.1002/ijc.31856

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  21 in total

Review 1.  The evolution of nasopharyngeal carcinoma staging.

Authors:  Rui Guo; Yan-Ping Mao; Ling-Long Tang; Lei Chen; Ying Sun; Jun Ma
Journal:  Br J Radiol       Date:  2019-07-12       Impact factor: 3.039

Review 2.  Liquid Biopsy in Head and Neck Cancer: Current Evidence and Future Perspective on Squamous Cell, Salivary Gland, Paranasal Sinus and Nasopharyngeal Cancers.

Authors:  Santiago Cabezas-Camarero; Pedro Pérez-Segura
Journal:  Cancers (Basel)       Date:  2022-06-09       Impact factor: 6.575

Review 3.  Nasopharyngeal carcinoma: an evolving paradigm.

Authors:  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
Journal:  Nat Rev Clin Oncol       Date:  2021-06-30       Impact factor: 66.675

4.  Predicting Progression-Free Survival Using MRI-Based Radiomics for Patients With Nonmetastatic Nasopharyngeal Carcinoma.

Authors:  Hesong Shen; Yu Wang; Daihong Liu; Rongfei Lv; Yuanying Huang; Chao Peng; Shixi Jiang; Ying Wang; Yongpeng He; Xiaosong Lan; Hong Huang; Jianqing Sun; Jiuquan Zhang
Journal:  Front Oncol       Date:  2020-05-12       Impact factor: 6.244

5.  Mismatch repair status and high expression of PD-L1 in nasopharyngeal carcinoma.

Authors:  Liang Zhao; Xiyi Liao; Ganji Hong; Yanzhen Zhuang; Kaili Fu; Peiqiong Chen; Yuhuan Wang; Haojun Chen; Qin Lin
Journal:  Cancer Manag Res       Date:  2019-02-19       Impact factor: 3.989

6.  An integrated model of the gross tumor volume of cervical lymph nodes and pretreatment plasma Epstein-Barr virus DNA predicts survival of nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: a big-data intelligence platform-based analysis.

Authors:  Jun-Yan Li; Cheng-Long Huang; Wei-Jie Luo; Yuan Zhang; Ling-Long Tang; Hao Peng; Ying Sun; Yu-Pei Chen; Jun Ma
Journal:  Ther Adv Med Oncol       Date:  2019-09-25       Impact factor: 8.168

7.  Selection and Validation of Induction Chemotherapy Beneficiaries Among Patients With T3N0, T3N1, T4N0 Nasopharyngeal Carcinoma Using Epstein-Barr Virus DNA: A Joint Analysis of Real-World and Clinical Trial Data.

Authors:  Cheng Xu; Shu Zhang; Wen-Fei Li; Lei Chen; Yan-Ping Mao; Ying Guo; Qing Liu; Jun Ma; Ling-Long Tang
Journal:  Front Oncol       Date:  2019-11-29       Impact factor: 6.244

Review 8.  Emerging radiotherapy technologies and trends in nasopharyngeal cancer.

Authors:  Michelle Tseng; Francis Ho; Yiat Horng Leong; Lea Choung Wong; Ivan Wk Tham; Timothy Cheo; Anne Wm Lee
Journal:  Cancer Commun (Lond)       Date:  2020-08-03

9.  Negative plasma Epstein-Barr virus DNA nasopharyngeal carcinoma in an endemic region and its influence on liquid biopsy screening programmes.

Authors:  John Malcolm Nicholls; Victor Ho-Fun Lee; Sik-Kwan Chan; Ka-Chun Tsang; Cheuk-Wai Choi; Dora Lai-Wan Kwong; Ka-On Lam; Sum-Yin Chan; Chi-Chung Tong; Tsz-Him So; To-Wai Leung; Mai-Yee Luk; Pek-Lan Khong; Anne Wing-Mui Lee
Journal:  Br J Cancer       Date:  2019-09-17       Impact factor: 7.640

Review 10.  Current approach and novel perspectives in nasopharyngeal carcinoma: the role of targeting proteasome dysregulation as a molecular landmark in nasopharyngeal cancer.

Authors:  Ramon Yarza; Mateo Bover; Maria Teresa Agulló-Ortuño; Lara Carmen Iglesias-Docampo
Journal:  J Exp Clin Cancer Res       Date:  2021-06-21
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