PLAC1作为透明细胞肾细胞癌预后生物标志物和分子靶点的鉴定。

IF 4.4 2区 生物学 Q2 CELL BIOLOGY
Ying Kong , Zongming Jia , Yizhang Sun , Lichen Jin , Tong Zhang , Qiya Xu , Yuhua Huang
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引用次数: 0

摘要

透明细胞肾细胞癌(ccRCC)是泌尿系统常见的临床肿瘤。缺乏有效的诊断和治疗方案对临床治疗提出了严峻的挑战。因此,寻找有效的分子靶点已成为治疗该病的潜在手段之一。首先,通过TCGA数据库分析发现,PLAC1在ccRCC中异常高表达,且与患者预后呈负相关。Western blotting和免疫荧光实验进一步证实了PLAC1在ccRCC患者中高表达,在体外敲低PLAC1可抑制ccRCC的发展。最后,利用高通量虚拟筛选技术(HTVS)鉴定出两个能够降低PLAC1表达并抑制ccRCC进展的分子抑制剂AmB和Cana。总之,目前的研究表明,PLAC1可以作为一种预后生物标志物,AmB和Cana通过降低PLAC1抑制ccRCC的进展,使其成为ccRCC的潜在治疗选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of PLAC1 as a prognostic biomarker and molecular target in clear cell renal cell carcinoma
Clear cell renal cell carcinoma (ccRCC) is a common clinical tumor of the urinary system. The lack of effective diagnostic and treatment options poses a serious challenge to clinical treatment. Therefore, identifying effective molecular targets has become one of the potential means to treat this disease. Firstly, the analysis of the TCGA database found that PLAC1 was abnormally highly expressed in ccRCC and was negatively correlated with patient prognosis. Western blotting and immunofluorescence experiments further verified that PLAC1 was highly expressed in ccRCC patients, and knockdown of PLAC1 inhibited the development of ccRCC in vitro. Last, high-throughput virtual screening technology (HTVS) was performed to identify two molecular inhibitors ,AmB and Cana, which were able to reduce the expression of PLAC1 and inhibited the progression of ccRCC. In conclusion, the current investigation indicated that the PLAC1 could serve as a prognostic biomarker, and AmB and Cana inhibit the progression of ccRCC by reducing PLAC1, making it a potential therapeutic option for ccRCC.
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来源期刊
Cellular signalling
Cellular signalling 生物-细胞生物学
CiteScore
8.40
自引率
0.00%
发文量
250
审稿时长
27 days
期刊介绍: Cellular Signalling publishes original research describing fundamental and clinical findings on the mechanisms, actions and structural components of cellular signalling systems in vitro and in vivo. Cellular Signalling aims at full length research papers defining signalling systems ranging from microorganisms to cells, tissues and higher organisms.
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