Predictive value of single-nucleotide polymorphism signature for recurrence in localised renal cell carcinoma: a retrospective analysis and multicentre validation study

• Published in: The lancet oncology Vol. 20; no. 4; pp. 591 - 600
• Main Authors: Wei, Jin-Huan, Feng, Zi-Hao, Cao, Yun, Zhao, Hong-Wei, Chen, Zhen-Hua, Liao, Bing, Wang, Qing, Han, Hui, Zhang, Jin, Xu, Yun-Ze, Li, Bo, Wu, Ji-Tao, Qu, Gui-Mei, Wang, Guo-Ping, Liu, Cong, Xue, Wei, Liu, Qiang, Lu, Jun, Li, Cai-Xia, Li, Pei-Xing, Zhang, Zhi-Ling, Yao, Hao-Hua, Pan, Yi-Hui, Chen, Wen-Fang, Xie, Dan, Shi, Lei, Gao, Zhen-Li, Huang, Yi-Ran, Zhou, Fang-Jian, Wang, Shao-Gang, Liu, Zhi-Ping, Chen, Wei, Luo, Jun-Hang
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.04.2019; Elsevier Limited
• Subjects: Accuracy; Bioinformatics; Biomarkers; Clear cell-type renal cell carcinoma; Clinical medicine; Genome-wide association studies; Genomes; Hospitals; Kidney cancer; Mass spectrometry; Medical prognosis; Necrosis; Nomograms; Paraffin; Patients; Risk factors; Scientific imaging; Single-nucleotide polymorphism; Surgery; Tumors; China

Identification of high-risk localised renal cell carcinoma is key for the selection of patients for adjuvant treatment who are at truly higher risk of reccurrence. We developed a classifier based on single-nucleotide polymorphisms (SNPs) to improve the predictive accuracy for renal cell carcinoma re...