Refining TNM-8 M1 categories with anatomic subgroups for previously untreated de novo metastatic nasopharyngeal carcinoma.

Author:

Chan Sik-Kwan1,Lin Cheng2,Huang Shao Hui3,Chau Tin Ching4,Guo Qiaojuan5,O'Sullivan Brian3,Lam Ka-On6,Chau Sze Chun7,Chan Ann SY7,Tong Chi-Chung7,Vardhanabhuti Varut8,Kwong Dora LW7,So Tsz Him7,Ng Sherry CY7,Leung To Wai7,Luk Mai-Yee7,Lee Anne WM7,Choi Cheuk-Wai7,Pan Jianji9,Lee Victor Ho-Fun10

Affiliation:

1. Department of Clinical Oncology, The University of Hong Kong, Hong Kong, Hong Kong;

2. Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Provincial Clinical College of Fujian Medical University, Fuzhou, China;

3. Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada;

4. Department of Clinical Oncology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China;

5. Fujian Cancer Hospital, Fuzhou, China;

6. Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China;

7. Department of Clinical Oncology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong;

8. Department of Diagnostic Radiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong;

9. Fujian Cancer Hospital & Fujian Medical University Cancer Hosptial, Fuzhou, China;

10. Queen Mary Hospital, The University of Hong Kong, Hong Kong, China;

Abstract

6046 Background: The eighth edition TNM (TNM-8) classified de novo metastatic (metastatic disease at presentation) nasopharyngeal carcinoma (NPC) as M1 without further subdivision. However, survival heterogeneity exists and long-term survival has been observed in a subset of this population. We hypothesize that certain metastatic characteristics could further segregate survival for de novo M1 NPC. Methods: Patients with previously untreated de novo M1 NPC prospectively treated in two academic institutions (The University of Hong Kong [n = 69] and Provincial Clinical College of Fujian Medical University [n = 114] between 2007 and 2016 were recruited and re-staged based on TNM-8 in this study. They were randomized in 2:1 ratio to generate a training cohort (n = 120) and validation cohort (n = 63) respectively. Univariable and multivariable analyses (MVA) were performed for the training cohort to identify the anatomic prognostic factors of overall survival (OS). We then performed recursive partitioning analysis (RPA) which incorporated the anatomic prognostic factors identified in multivariable analyses and derived a new set of RPA stage groups (Anatomic-RPA groups) which predicted OS in the training cohort. The significance of Anatomic-RPA groups in the training cohort was then validated in the validation cohort. UVA and MVA were performed again on the validation cohorts to identify significant OS prognosticators. Results: The training and the validation cohorts had a median follow-up of 27.2 months and 30.2 months, respectively, with the 3-year OS of 51.6% and 51.1%, respectively. Univariable analysis (UVA) and multivariable analysis (MVA) revealed that co-existing liver and bone metastases was the only factor prognostic of OS. Anatomic-RPA groups based on the anatomic prognostic factors identified in UVA and MVA yielded good segregation (M1a: no co-existing liver and bone metastases and M1b: co-existing both liver and bone metastases; median OS 39.5 and 23.7 months respectively; P =.004). RPA for the validation set also confirmed good segregation with co-existing liver and bone metastases (M1a: no co-existing liver and bone metastases and M1b: co-existing liver and bone metastases), with median OS 47.7 and 16.0 months, respectively; P =.008). It was also the only prognostic factor in UVA and MVA in the validation cohort. Conclusions: Our Anatomic-RPA M1 stage groups with anatomical factors provided better subgroup segregation for de novo M1 NPC. The study results provide a robust justification to refine M1 categories in future editions of TNM staging classification.

Funder

None

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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