Pivotal biomarker expression and drug screening in advanced ccRCC
Pivotal biomarker expression and drug screening in advanced ccRCC
复制标题
晚期 ccRCC 的关键生物标志物表达和药物筛选
DOI:
10.1002/ctm2.114
复制
发表时间:
2020-06
影响因子:
10.6
通讯作者:
Zhang Xiaoping
中科院分区:
文献类型:
--
作者:
Xiao Wen;Chen Ke;Zhang Xiaoping
Dear Editor, Our previous results demonstrated that reducing lipid accumulation, called “Tumor Slimming,” can inhibit the growth and metastasis of tumor cells, 1, 2 whereas we have hardly found drugs to directly affect the slimming of renal cancer cells. Here, we identified nine pivotal biomarkers and several small molecule drugs with complex bioinformatics methods, which may be helpful for clinical diagnosis and treatment for advanced renal cell carcinoma. Renal clear cell carcinoma (ccRCC) is one of the most common cancers, with the highest fatality rate in renal cancer with obvious abnormal lipid accumulation, 3 although the mechanism and role of lipid accumulation are not fully known. Clarifications of pathological type and pathological grade are important for the cancer patient management. The treatment is adjusted according to the results of clinical diagnostic markers, with positive effects on the prognosis of patients. Due to the lack of specific tumor markers for renal cancer, cancers were metastasized when the disease was initially diagnosed with imaging. Therefore, the discover of effective biomarker is important for the treatment of renal cancer. There is still a high risk of local recurrence or distant metastasis after local or radical nephrectomies for early renal cancer. 4 Tyrosine kinase inhibitor (TKI) drugs are generally used for the treatment of advanced renal cancer, but still have poor effects on prognosis of thesurvival. 5 Cell cycle regulation and cell adhesion maintenance can promote the occurrence and development of tumor cells. 6 Epithelialmesenchymal transition (EMT) has an important clinical significance for cancer progression and drug resistance. 7 TKI can inhibit tumor cell cycle and EMT to affect tumor growth. 8 Unfortunately, TKI resistance developed and lead to poor progression in ccRCC. There is an urgent need to explore more effective prognostic biomarkers and understand the mechanism of the effects in order to determine new drug targets for new ccRCC treatment. We performed a deep analysis of GSE150404 dataset for advanced ccRCC, which contained four grades with 15
登录
查看更多内容
影响因子:
158.5
作者:
Ravaud, A.;Motzer, R. J.;Patard, J. -J.
通讯作者:
Patard, J. -J.
影响因子:
20.3
作者:
Chen, Yang;Wang, Shan;Luo, Yongzhang
通讯作者:
Luo, Yongzhang
影响因子:
64.8
作者:
Chen W;Hill H;Christie A;Kim MS;Holloman E;Pavia-Jimenez A;Homayoun F;Ma Y;Patel N;Yell P;Hao G;Yousuf Q;Joyce A;Pedrosa I;Geiger H;Zhang H;Chang J;Gardner KH;Bruick RK;Reeves C;Hwang TH;Courtney K;Frenkel E;Sun X;Zojwalla N;Wong T;Rizzi JP;Wallace EM;Josey JA;Xie Y;Xie XJ;Kapur P;McKay RM;Brugarolas J
通讯作者:
Brugarolas J
影响因子:
15.1
作者:
Xiong, Zhiyong;Xiao, Wen;Zhang, Xiaoping
通讯作者:
Zhang, Xiaoping
影响因子:
28.2
作者:
Qiu B;Ackerman D;Sanchez DJ;Li B;Ochocki JD;Grazioli A;Bobrovnikova-Marjon E;Diehl JA;Keith B;Simon MC
通讯作者:
Simon MC