Please use this identifier to cite or link to this item:
https://doi.org/10.1182/blood.2020010637
DC Field | Value | |
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dc.title | A composite single-nucleotide polymorphism prediction signature for extranodal natural killer/T-cell lymphoma | |
dc.contributor.author | Tian, Xiao-Peng | |
dc.contributor.author | Ma, Shu-Yun | |
dc.contributor.author | Young, Ken H | |
dc.contributor.author | Ong, Choon Kiat | |
dc.contributor.author | Liu, Yan-Hui | |
dc.contributor.author | Li, Zhi-Hua | |
dc.contributor.author | Zhai, Qiong-Li | |
dc.contributor.author | Huang, Hui-Qiang | |
dc.contributor.author | Lin, Tong-Yu | |
dc.contributor.author | Li, Zhi-Ming | |
dc.contributor.author | Xia, Zhong-Jun | |
dc.contributor.author | Zhong, Li-Ye | |
dc.contributor.author | Rao, Hui-Lan | |
dc.contributor.author | Li, Mei | |
dc.contributor.author | Cai, Jun | |
dc.contributor.author | Zhang, Yu-Chen | |
dc.contributor.author | Zhang, Fen | |
dc.contributor.author | Su, Ning | |
dc.contributor.author | Li, Peng-Fei | |
dc.contributor.author | Zhu, Feng | |
dc.contributor.author | Xu-Monette, Zijun Y | |
dc.contributor.author | Wong, Esther Kam Yin | |
dc.contributor.author | Ha, Jeslin Chian Hung | |
dc.contributor.author | Khoo, Lay Poh | |
dc.contributor.author | Ai, Le | |
dc.contributor.author | Cheng, Run-Fen | |
dc.contributor.author | Lim, Jing Quan | |
dc.contributor.author | De Mel, Sanjay | |
dc.contributor.author | Ng, Siok-Bian | |
dc.contributor.author | Lim, Soon Thye | |
dc.contributor.author | Cai, Qing-Qing | |
dc.date.accessioned | 2021-11-17T09:03:55Z | |
dc.date.available | 2021-11-17T09:03:55Z | |
dc.date.issued | 2021-08-12 | |
dc.identifier.citation | 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 (2021-08-12). A composite single-nucleotide polymorphism prediction signature for extranodal natural killer/T-cell lymphoma. BLOOD 138 (6) : 452-463. ScholarBank@NUS Repository. https://doi.org/10.1182/blood.2020010637 | |
dc.identifier.issn | 00064971 | |
dc.identifier.issn | 15280020 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/206596 | |
dc.description.abstract | 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. | |
dc.language.iso | en | |
dc.publisher | AMER SOC HEMATOLOGY | |
dc.source | Elements | |
dc.subject | Science & Technology | |
dc.subject | Life Sciences & Biomedicine | |
dc.subject | Hematology | |
dc.subject | NASAL-TYPE | |
dc.subject | BIOMARKER | |
dc.subject | MODEL | |
dc.type | Article | |
dc.date.updated | 2021-11-17T06:37:14Z | |
dc.contributor.department | CANCER SCIENCE INSTITUTE OF SINGAPORE | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.description.doi | 10.1182/blood.2020010637 | |
dc.description.sourcetitle | BLOOD | |
dc.description.volume | 138 | |
dc.description.issue | 6 | |
dc.description.page | 452-463 | |
dc.published.state | Published | |
dc.description.redeposit | Completed | |
Appears in Collections: | Staff Publications Elements |
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A composite single-nucleotide polymorphism prediction signature for extranodal natural killerT-cell.pdf | 2.7 MB | Adobe PDF | OPEN | None | View/Download |
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