分析卷曲蛋白 2 在不同癌症类型中的作用。

Analysis of the role of Frizzled 2 in different cancer types.

机构信息

West Anhui Health Vocational College, Anhui, China.

出版信息

FEBS Open Bio. 2021 Apr;11(4):1195-1208. doi: 10.1002/2211-5463.13111. Epub 2021 Feb 25.

Abstract

Frizzled 2 (FZD2) is an important receptor in the Wnt pathway, which is highly expressed in malignant tumors and helps regulate multiple tumor behaviors. Its expression level is related to prognosis. Here, bioinformatic analysis was performed to understand the expression of FZD2 in different tumors. We examined FZD2 expression using pan-cancer data of 33 cancer types from The Cancer Genome Atlas (TCGA). Differential expression analysis (Wilcoxon's test) was used to compare tumor and normal tissues. Univariate Cox proportional hazard regression was performed to compare gene expression and overall patient survival. COSMIC, cBioPortal, and CCLE were used to examine FZD2 mutations in human cancers. Dryness index was calculated using one-class logistic regression (OCLR). Spearman's correlation was performed based on gene expression and dryness score and used to analyze the correlation between gene expression and stemness score, matrix score, immune score, estimated score, tumor mutation burden (TMB), microsatellite instability (MSI), and drug sensitivity. STRING website was used to construct an FZD2 protein interaction network and identify genes that interact with FZD2. We report that FZD2 is highly expressed in most tumors, differing between cancer types. Expression was related to patient overall survival (OS), disease-specific survival, disease-free interval (DFI), mutations, drug sensitivity, tumor microenvironment, immune cell infiltration, immune checkpoint gene expression, immunotherapy indicators (TMB, MSI), and tumor cell stemness. FZD2 influenced drug sensitivities, including cobimetinib (r = -0.553, P < 0.001), selumetinib (r = -0.539, P < 0.001), bafetinib (r = -0.538, P < 0.001), tamoxifen (r = -0.523, P < 0.001), alvespimycin (r = -0.520, P < 0.001), and nilotinib (r = -0.502, P < 0.001). FZD2 has the most significant correlation with ROR2 (r = 0.4, P < 0.001), Wnt2 (r = 0.37, P < 0.001), and Wnt4A (r = 0.34, P < 0.001). The results confirm the importance of FZD2 expression in cancer prognosis and treatment, and provide new clues for treatment strategies.

摘要

卷曲蛋白 2(FZD2)是 Wnt 通路中的一个重要受体,在恶性肿瘤中高度表达,有助于调节多种肿瘤行为。其表达水平与预后相关。在这里,我们进行了生物信息学分析,以了解 FZD2 在不同肿瘤中的表达情况。我们使用来自癌症基因组图谱(TCGA)的 33 种癌症类型的泛癌症数据检查了 FZD2 的表达。使用 Wilcoxon 检验进行差异表达分析,比较肿瘤和正常组织。使用单变量 Cox 比例风险回归比较基因表达和总体患者生存情况。使用 COSMIC、cBioPortal 和 CCLE 检查人类癌症中的 FZD2 突变。使用单类逻辑回归(OCLR)计算干燥度指数。根据基因表达和干燥度评分进行 Spearman 相关性分析,并用于分析基因表达与干性评分、基质评分、免疫评分、估计评分、肿瘤突变负担(TMB)、微卫星不稳定性(MSI)和药物敏感性之间的相关性。使用 STRING 网站构建 FZD2 蛋白相互作用网络,并确定与 FZD2 相互作用的基因。我们报告 FZD2 在大多数肿瘤中高度表达,不同癌症类型之间存在差异。表达与患者总生存(OS)、疾病特异性生存、无病间隔(DFI)、突变、药物敏感性、肿瘤微环境、免疫细胞浸润、免疫检查点基因表达、免疫治疗指标(TMB、MSI)和肿瘤细胞干性有关。FZD2 影响药物敏感性,包括 cobimetinib(r=-0.553,P<0.001)、selumetinib(r=-0.539,P<0.001)、bafetinib(r=-0.538,P<0.001)、他莫昔芬(r=-0.523,P<0.001)、alvespimycin(r=-0.520,P<0.001)和 nilotinib(r=-0.502,P<0.001)。FZD2 与 ROR2(r=0.4,P<0.001)、Wnt2(r=0.37,P<0.001)和 Wnt4A(r=0.34,P<0.001)的相关性最显著。结果证实了 FZD2 表达在癌症预后和治疗中的重要性,并为治疗策略提供了新的线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f416/8016138/31cfe7ba4961/FEB4-11-1195-g008.jpg

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