SMARCD3 is a potential prognostic marker and therapeutic target in CAFs.
SMARCD3 is a potential prognostic marker and therapeutic target in CAFs.
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SMARCD3 是 CAF 的潜在预后标志物和治疗靶点
DOI：
10.18632/aging.104102
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发表时间：
2020-10-28
期刊：
影响因子：
--
通讯作者：
Han Y
中科院分区：
文献类型：
--
作者：
Jiang M;Wang H;Chen H;Han Y
目的：从结直肠癌微环境中筛选新的预后标志物和潜在的治疗靶点。结果如下：372个基因在结直肠癌微环境中过表达，其中5个具有最大预后能力的基因在上皮-间质转化和细胞周期途径中富集。我们首次发现SMARCD 3主要在CAFs中表达，并可能成为一种新的预后标志物和潜在的治疗靶点。功能分析表明，MSARD 3可能通过SMARD 3-WNT 5A/TGF-β-MAPK 14-SMARD 3正反馈环促进CAFs的活化和结直肠癌的转移。构建了SMARCD 3的信号通路图，并介绍了几种可能调控SMARCD 3的药物。结论：SMARCD 3是一种新的结直肠癌预后生物标志物和潜在的治疗靶点，可能通过激活CAFs促进肿瘤转移。方法：根据免疫评分和间质评分筛选大肠癌微环境相关基因。进行功能富集分析以显示这些肿瘤微环境相关基因的潜在机制见解。Kaplan-Meier生存分析用于评估预后能力。基因-通路相互作用网络分析和肿瘤微环境的细胞异质性分析也进行了。进行基因集富集分析用于信号基因通路分析。来自癌症基因组图谱的蛋白质数据用于验证。
Objective: Screening for novel prognostic biomarkers and potential therapeutic targets from colorectal cancer microenvironment. Results: 372 genes were overexpressed in colorectal cancer microenvironment, five of which that had the most prognostic powers were enriched in Epithelial-Mesenchymal Transition and cell cycle pathways. For the first time, we showed that SMARCD3 was mainly expressed in CAFs and could be a novel prognostic marker and potential therapeutic target. Function analyses indicated that MSARCD3 might promote CAFs activation and colorectal cancer metastasis through SMARCD3-WNT5A/TGF-β-MAPK14-SMARCD3 positive feedback loop. Signaling map of SMARCD3 was constructed and several potential drugs that could regulate SMARCD3 were also presented. Conclusions: SMARCD3 is a novel prognostic biomarker and potential therapeutic target of colorectal cancer, which may promote cancer metastasis through activation of CAFs. Methods: Colorectal cancer microenvironment related genes were screened based on immune and stromal scores. Function enrichment analyses were performed to show the underlying mechanistic insights of these tumor microenvironment related genes. Kaplan-Meier survival analysis was used for evaluating the prognostic power. Gene-Pathway interaction network analysis and cellular heterogeneity analysis of tumor microenvironment were also performed. Gene set enrichment analysis was performed for signal gene pathway analysis. Protein data from The Cancer Genome Atlas were used for validation.
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影响因子：
78.5
作者：
Sahai, Erik;Astsaturov, Igor;Werb, Zena
通讯作者：
Werb, Zena
影响因子：
29
作者：
Bertero T;Oldham WM;Grasset EM;Bourget I;Boulter E;Pisano S;Hofman P;Bellvert F;Meneguzzi G;Bulavin DV;Estrach S;Feral CC;Chan SY;Bozec A;Gaggioli C
通讯作者：
Gaggioli C
影响因子：
5.3
作者：
Hedrick, Erik;Safe, Stephen
通讯作者：
Safe, Stephen
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
影响因子：
254.7
作者：
Parkin, DM;Bray, F;Pisani, P
通讯作者：
Pisani, P