Ma Lu Lin

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1984 7 -1988 8 1991 9 -1995 6 1995 7 -2001 1 2001 1 2022 10 、.,.. NGS, - -.,,,. sci,. 2013 2013 2013 2014 2019 SCI 15, 100.: 1) Wang X#, Lu Y#, Song Y#, Dong J#, Li R, Wang G; Wang X, Zhang S, Dong Z, Min L, Wang S, Ge L, Luo G, Ma R, Steve George Rozen, Bai F*, Wu D*, Ma L*, Integrative genomic study of Chinese clear cell renal cell carcinoma reveals features associated with thrombus. Nature Communications 2020;11(1): 739. 2) Cheng Liu#, Li Liu#, Kun Wang, Xiao-Feng Li, Li-Yuan Ge, Run-Zhuo Ma, Yi-Dong Fan, Lu-Chao Li, Zheng-Fang Liu, Min Qiu, Yi-Chang Hao, Zhen-Feng Shi, Chuan-You Xia, Klas Str??t, Yi Huang, Lu-Lin Ma*, Dawei Xu, VHL-HIF-2α axis-induced SMYD3 upregulation drives renal cell carcinoma progression via direct trans-activation of EGFR. Oncogene;2020-04-14;4286–4298 3) Tian Xiaojun#, Hong Peng#, Liu Zhuo, Huang Yi, Wang Guoliang, Hou Xiaofei, Zhang Shudong, Ma Lulin*, En Bloc Retroperitoneal Laparoscopic Radical Nephrectomy With Inferior Vena Cava Thrombectomy for Renal Cell Carcinoma With Level 0 to II Venous Tumor Thrombus: A Single-Center Experience, Cancer, 2020, 126(Suppl 9):2073-2078. 4) Wang G#, Huang Y#, Yang F#, Tian X#, Wang K, Liu L, Fan Y, Li X, Li L, Shi B, Hao Y, Xia C, Nie Q, Xin Y, Shi Z, Ma L*, Xu D*, Liu X*, High expression of SMYD3 indicates poor survival outcome and promotes tumour progression through an IGF-1R/AKT/E2F-1 positive feedback loop in bladder cancer. Aging (Albany NY) 2020; 12(3): 2030–2048. 5) Liu Z#, Tang S#, Tian X, Zhang H, Wang G, Zhang S, Ma L*, The effect of renal function change on renal cell carcinoma patients with tumor thrombus after nephrectomy and thrombectomy: a large Chinese. BMC Cancer 2020; 28;20(1):61. 6) Ma R#, Liu C#, Lu M#, Yuan X*, Cheng G, Kong F, Lu J, Str??t K, Bj?rkholm M, Ma L*, Xu D, The TERT locus genotypes of rs2736100-CC/CA and rs2736098-AA predict shorter survival in renal cell carcinoma. Urol Oncol 2019; 37(5):301.e1-301. 7) Song Y#, ZhongL#,Zhou J, Lu M, Xing T, Ma L *.Shen J*. Data-Independent acquisition-based quantitative proteomicanalysis reveals potential biomarkers of kidney cancer. Proteomics clinical applications; 2017.11(11-12):December 2017 1700066. 8) 、,. 《 》2019,40(10): 732-736 9) 、, Mayo Ⅲ. 《 》2018,39(12):948 10) 、 、, Mayo 0-2. 《 》2018,50(6):1053-1056 1) 《 》(2007, ) 2) 《 》(2013,, ) 3) 《 》(2004, ) 4) 《 》(2013, ) 5) 《