A composite single-nucleotide polymorphism prediction signature for extranodal natural killer/T-cell lymphoma

Current prognostic scoring systems based on clinicopathologic variables are inadequate in predicting the survival and treatment response of extranodal natural killer/T-cell lymphoma (ENKTL) patients undergoing nonanthracyline-based treatment. We aimed to construct a classifier based on single-nucleo...

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Veröffentlicht in:Blood 2021-08, Vol.138 (6), p.452-463
Hauptverfasser: Tian, Xiao-Peng, Ma, Shu-Yun, Young, Ken H., Ong, Choon Kiat, Liu, Yan-Hui, Li, Zhi-Hua, Zhai, Qiong-Li, Huang, Hui-Qiang, Lin, Tong-Yu, Li, Zhi-Ming, Xia, Zhong-Jun, Zhong, Li-Ye, Rao, Hui-Lan, Li, Mei, Cai, Jun, Zhang, Yu-Chen, Zhang, Fen, Su, Ning, Li, Peng-Fei, Zhu, Feng, Xu-Monette, Zijun Y., Wong, Esther Kam Yin, Ha, Jeslin Chian Hung, Khoo, Lay Poh, Ai, Le, Cheng, Run-Fen, Lim, Jing Quan, de Mel, Sanjay, Ng, Siok-Bian, Lim, Soon Thye, Cai, Qing-Qing
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Sprache:eng
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Zusammenfassung:Current prognostic scoring systems based on clinicopathologic variables are inadequate in predicting the survival and treatment response of extranodal natural killer/T-cell lymphoma (ENKTL) patients undergoing nonanthracyline-based treatment. We aimed to construct a classifier based on single-nucleotide polymorphisms (SNPs) for improving predictive accuracy and guiding clinical decision making. Data from 722 patients with ENKTL from international centers were analyzed. A 7-SNP–based classifier was constructed using LASSO Cox regression in the training cohort (n = 336) and further validated in the internal testing cohort (n = 144) and in 2 external validation cohorts (n = 142 and n = 100). The 7-SNP–based classifier showed good prognostic predictive efficacy in the training cohort and the 3 validation cohorts. Patients with high- and low-risk scores calculated by the classifier exhibited significantly different progression-free survival (PFS) and overall survival (OS) (all P < .001). The 7-SNP–based classifier was further proved to be an independent prognostic factor by multivariate analysis, and its predictive accuracy was significantly better than clinicopathological risk variables. Application of the 7-SNP–based classifier was not affected by sample types. Notably, chemotherapy combined with radiotherapy significantly improved PFS and OS vs radiotherapy alone in high-risk Ann Arbor stage I patients, whereas there was no statistical difference between the 2 therapeutic modalities among low-risk patients. A nomogram was constructed comprising the classifier and clinicopathological variables; it showed remarkably better predictive accuracy than either variable alone. The 7-SNP–based classifier is a complement to existing risk-stratification systems in ENKTL, which could have significant implications for clinical decision making for patients with ENKTL. •The 7-SNP-based classifier is an effective and reliable predictor of survival for patients with ENKTL.•The 7-SNP-based signature can be used as a supplement to current risk indicators, aiding clinical decision making. [Display omitted]
ISSN:0006-4971
1528-0020
DOI:10.1182/blood.2020010637