Selection of optimal therapeutic modality for early-stage extranodal natural killer/T-cell lymphoma patients under the guidance of single-nucleotide polymorphism signature

Affiliations

¹ Department of Pharmaceutical Sciences, St. John's University, New York, USA.
² Department of Pharmaceutical Sciences, St. John'sUniversity, New York, USA; Institute for Biotechnology, St. John's University, New York, USA.

Comment

Zhe-Sheng Chen et al. Bosn J Basic Med Sci. 2022.

. 2022 Apr 1;22(2):300-301.

doi: 10.17305/bjbms.2021.6419.

¹ Department of Pharmaceutical Sciences, St. John's University, New York, USA.
² Department of Pharmaceutical Sciences, St. John'sUniversity, New York, USA; Institute for Biotechnology, St. John's University, New York, USA.

No abstract available

Conflict of interest statement

Conflict of interests: The authors declare no conflict of interest.

A composite single-nucleotide polymorphism prediction signature for extranodal natural killer/T-cell lymphoma.
Tian XP, Ma SY, Young KH, Ong CK, Liu YH, Li ZH, Zhai QL, Huang HQ, Lin TY, Li ZM, Xia ZJ, Zhong LY, Rao HL, Li M, Cai J, Zhang YC, Zhang F, Su N, Li PF, Zhu F, Xu-Monette ZY, Wong EKY, Ha JCH, Khoo LP, Ai L, Cheng RF, Lim JQ, de Mel S, Ng SB, Lim ST, Cai QQ. Tian XP, et al. Blood. 2021 Aug 12;138(6):452-463. doi: 10.1182/blood.2020010637. Blood. 2021. PMID: 33728448 Clinical Trial.

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