Depicting distant metastatic risk by refined subgroups derived from the 8th edition nasopharyngeal carcinoma TNM. (April 2019)

• Record Type: Journal Article
• Authors: Guo, Qiaojuan; Lu, Tianzhu; Hui Huang, Shao; O'Sullivan, Brian; Zong, Jingfeng; Xiao, Youping; Xu, Wei; Chen, Chuanben; Qiu, Sufang; Xu, Luying; Zheng, Wei; Chen, Yunbin; Lin, Shaojun; Pan, Jianji
• Is Part Of: Oral oncology. Volume 91(2019)
• Page Start: 113
• Page End: 120
• Publication Date: 2019-04
• Subjects: Nasopharyngeal carcinoma -- Intensity-modulated radiation therapy -- Chemotherapy -- Prognostication -- Distant metastasis -- Recursive partitioning analysis; Mouth -- Cancer -- Periodicals; Mouth -- Tumors -- Periodicals; Mouth Diseases -- Periodicals; Mouth Neoplasms -- Periodicals; Bouche -- Cancer -- Périodiques; Bouche -- Tumeurs -- Périodiques; Tumeurs -- Périodiques; Electronic journals; 616.9943105
• DOI: 10.1016/j.oraloncology.2019.02.021
• Languages: English
• ISSNs: 1368-8375

Abstract

Highlights: Significant heterogeneity in DM risk exists among T-N subsets within cTNM-8 stages. The RPA groups improved intra-group hazard consistency compared to cTNM-8 stage groups. The RPA groups provide a strong anatomic foundation to augment DM prediction. Abstract: Background: Tumor-nodal-metastasis (TNM) is the most important survival predictor in nasopharyngeal carcinoma (NPC). Distant metastasis (DM) is the predominant failure pattern of NPC in the intensity-modulated radiotherapy (IMRT) era. The DM risk appears to be different for T-N subsets within the same clinical stage. Appropriately depicting DM risk has emerged as an important issue in tailoring individualized treatment and underpins the reason for this study. Methods: A total of 1616 non-metastatic (M0) NPC patients treated with IMRT were included. All were re-staged according to the 8th edition AJCC/UICC TNM (TNM-8). DM-free survival (DMFS) was calculated and compared among T-N subsets within each stage and DM risk groups were derived by Recursive-partitioning analysis (RPA) based on ordinal T and N categories. Results: Significant heterogeneity in DM risk was evident among T-N subsets within cTNM-8 stages II-IV. The RPA algorithm classified patients into four DM risk groups: RPA-I (T1N0-1 and T2-3N0), RPA-II (T2-3N1), RPA-III (T4N0-1 and T1-3N2) and RPA-IV (T4N2 and T1-4N3), with 5-year DMFS of 93.4% (95% CI: 91.3–96.1), 84.3% (80.8–87.8), 78.9% (75.4–82.4) and 63.6% (56.3–70.9), respectively ( p < 0.001). Compared to cTNM-8 stage grouping, RPA grouping had a lower Akaike information criterion (AIC) and higher Harrell's concordance index (c-index) for DMFS. Conclusions: Significant heterogeneity in DM risk exists among T-N subsets within cTNM-8 stages. The RPA groups demonstrated improved intra-group hazard consistency compared to cTNM-8 stage groups. While further validation is warranted, these RPA prognostic groupings provide a strong anatomic foundation to augment DM prediction for optimal targeting in future clinical trials.