1. A genomic‐augmented multivariate prognostic model for the survival of natural‐killer/T‐cell lymphoma patients from an international cohort
- Author
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Jing Quan Lim, Dachuan Huang, Jason Yongsheng Chan, Yurike Laurensia, Esther Kam Yin Wong, Daryl Ming Zhe Cheah, Burton Kuan Hui Chia, Wen‐Yu Chuang, Ming‐Chung Kuo, Yi‐Jiun Su, Qing‐qing Cai, Yanfen Feng, Huilan Rao, Li‐Na Feng, Pan‐Pan Wei, Jie‐Rong Chen, Bo‐Wei Han, Guo‐Wang Lin, Jun Cai, Yu Fang, Jing Tan, Huangming Hong, Yanhui Liu, Fen Zhang, Wenyu Li, Michelle L. M. Poon, Siok‐Bian Ng, Anand Jeyasekharan, Jeslin Chian Hung Ha, Lay Poh Khoo, Suk Teng Chin, Wan Lu Pang, Rebecca Kee, Chee Leong Cheng, Nicholas Francis Grigoropoulos, Tiffany Tang, Miriam Tao, Mohamad Farid, Kia Joo Puan, Jie Xiong, Wei‐Li Zhao, Chiea Chuen Khor, William Hwang, Won Seog Kim, Elias Campo, Patrick Tan, Bin Tean Teh, Wee‐Joo Chng, Olaf Rötzschke, Thomas Tousseyn, Hui‐Qiang Huang, Steve Rozen, Soon Thye Lim, Lee‐Yung Shih, Jin‐Xin Bei, and Choon Kiat Ong
- Subjects
EXPRESSION ,Epstein-Barr Virus Infections ,Herpesvirus 4, Human ,Science & Technology ,MUTATIONS ,BLOCKADE ,Genomics ,GENETIC RISK ,Hematology ,Prognosis ,Disease-Free Survival ,VARIABLES ,Lymphoma, Extranodal NK-T-Cell ,PERIPHERAL T-CELL ,Humans ,BARR-VIRUS-DNA ,NASAL ,SMILE ,Life Sciences & Biomedicine ,Retrospective Studies - Abstract
With lowering costs of sequencing and genetic profiling techniques, genetic drivers can now be detected readily in tumors but current prognostic models for Natural-killer/T cell lymphoma (NKTCL) have yet to fully leverage on them for prognosticating patients. Here, we used next-generation sequencing to sequence 260 NKTCL tumors, and trained a genomic prognostic model (GPM) with the genomic mutations and survival data from this retrospective cohort of patients using LASSO Cox regression. The GPM is defined by the mutational status of 13 prognostic genes and is weakly correlated with the risk-features in International Prognostic Index (IPI), Prognostic Index for Natural-Killer cell lymphoma (PINK), and PINK-Epstein-Barr virus (PINK-E). Cox-proportional hazard multivariate regression also showed that the new GPM is independent and significant for both progression-free survival (PFS, HR: 3.73, 95% CI 2.07-6.73; p
- Published
- 2022