Genetic risk classifier to predict localised renal cell carcinoma recurrence - Authors' reply

Affiliations

¹ Department of Urology, Sun Yat-sen University, Guangzhou 510080, China; Department of Oncology, Sun Yat-sen University, Guangzhou 510080, China.
² Department of Urology, Sun Yat-sen University, Guangzhou 510080, China.
³ First Affiliated Hospital, and School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou 510080, China.
⁴ Department of Urology, Sun Yat-sen University, Guangzhou 510080, China. Electronic address: luojunh@mail.sysu.edu.cn.

Comment

Jia-Xing Zhang et al. Lancet Oncol. 2019 Jun.

. 2019 Jun;20(6):e288.

doi: 10.1016/S1470-2045(19)30341-9.

¹ Department of Urology, Sun Yat-sen University, Guangzhou 510080, China; Department of Oncology, Sun Yat-sen University, Guangzhou 510080, China.
² Department of Urology, Sun Yat-sen University, Guangzhou 510080, China.
³ First Affiliated Hospital, and School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou 510080, China.
⁴ Department of Urology, Sun Yat-sen University, Guangzhou 510080, China. Electronic address: luojunh@mail.sysu.edu.cn.

No abstract available

Comment on

Predictive value of single-nucleotide polymorphism signature for recurrence in localised renal cell carcinoma: a retrospective analysis and multicentre validation study.
Wei JH, Feng ZH, Cao Y, Zhao HW, Chen ZH, Liao B, Wang Q, Han H, Zhang J, Xu YZ, Li B, Wu JT, Qu GM, Wang GP, Liu C, Xue W, Liu Q, Lu J, Li CX, Li PX, Zhang ZL, Yao HH, Pan YH, Chen WF, Xie D, Shi L, Gao ZL, Huang YR, Zhou FJ, Wang SG, Liu ZP, Chen W, Luo JH. Wei JH, et al. Lancet Oncol. 2019 Apr;20(4):591-600. doi: 10.1016/S1470-2045(18)30932-X. Epub 2019 Mar 14. Lancet Oncol. 2019. PMID: 30880070
Genetic risk classifier to predict localised renal cell carcinoma recurrence.
Liu S, Lei J. Liu S, et al. Lancet Oncol. 2019 Jun;20(6):e287. doi: 10.1016/S1470-2045(19)30234-7. Lancet Oncol. 2019. PMID: 31162094 No abstract available.