乳腺癌中 CLDN7 及其免疫相关细胞的表达和临床意义。

IF 2.4 3区 医学 Q2 PATHOLOGY
Xiaojie Fan, Aifeng Qi, Meng Zhang, Ying Jia, Shi Li, Dandan Han, Yueping Liu
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引用次数: 0

摘要

背景:CLDN 是紧密连接(TJ)的核心成分。CLDNs 的异常表达通常在各种类型的肿瘤中被检测到。CLDNs 作为潜在的治疗靶点备受关注。本研究的目的是研究 CLDN7 及相关免疫因子在乳腺癌中的表达模式,为乳腺癌患者提供更好的治疗方案:方法:利用cBioPortal、GEPIA和TCGA数据库全面评估CLDN7在BC中的表达。方法:采用cBioPortal、GEPIA和TCGA数据库全面评估CLDN7在BC中的表达,并应用Kaplan-Meier Plotter(KMP)数据库研究CLDN7过表达(OE)、预后和BC患者总生存期(OS)之间的关系。对92例BC组织样本和20例乳腺良性肿瘤样本进行免疫组化染色,以验证CLDN-7蛋白的表达水平及其与临床病理特征和预后的相关性。TIMER2.0利用BC相关转录组数据分析了CLDN7 OE与免疫基因激活之间的相关性。利用在线数据库对CLDN7相关免疫通路进行了富集分析。评估了CLDN7相关免疫基因的表达风险,并将差异表达(DE)基因纳入风险预后提名图的构建中:结果:数据库分析和临床样本验证结果均显示,CLDN7在BC中显著过表达(OE),且OE与BC患者的不良DFS相关(p + T细胞和CD8+ T细胞,但与M0巨噬细胞呈正相关)。通路富集分析表明,CLDN7相关免疫因子主要参与NF-κB和T细胞受体(TCR)信号通路。利用单变量Cox回归分析了52个CLDN7相关基因与OS之间的相关性,发现了22个与预后相关的基因。预后基因被纳入BC预后提名图,C指数为0.76,可预测BC个体的3年和5年OS概率:这些发现为与CLDN7相关的肿瘤免疫的作用提供了证据,表明CLDN7可能是BC潜在的免疫治疗靶点,其与免疫标记物的相关性可能有助于改善BC的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expression and clinical significance of CLDN7 and its immune-related cells in breast cancer.

Background: CLDN is a core component of tight junctions (TJs). Abnormal expressions of CLDNs are commonly detected in various types of tumors. CLDNs are of interest as a potential therapeutic target. CLDNs are closely associated with most cancers of epithelial origin, especially when CLDN7 promotes cancer cell metastasis, such as in gastric, cervical, and ovarian cancers.Its expression and prognosis in breast cancer (BC) remain unknown.The purpose of this study was to investigate the expression pattern of CLDN7 and related immune factors in BC and shed light on a better therapeutic avenue for BC patients.

Method: The cBioPortal, GEPIA, and TCGA databases were used to comprehensively assess the expression of CLDN7 in BC. The Kaplan-Meier Plotter (KMP) database was applied to examine the relationship among the CLDN7 overexpression (OE), prognosis, and overall survival (OS) of BC patients. Immunohistochemical staining was performed on 92 BC tissue samples and 20 benign breast tumors to verify the expression level of CLDN-7 protein and its correlation with clinicopathological features and prognosis. TIMER2.0 was used to analyze the correlation between the CLDN7 OE and immune gene activation using BC-related transcriptomic data. Enrichment analyses of CLDN7-related immune pathways were conducted using online databases. The risk of expression of CLDN7-related immune genes was assessed and differentially expressed (DE) genes were included in the construction of the risk prognosis nomogram.

Results: Both database analysis and clinical sample validation results showed that CLDN7 was significantly overexpressed (OE) in BC, and the OE was correlated with poor DFS in BC patients (p < 0.05). TIMER2.0 analysis indicated that CLDN7 OE was negatively associated with the activation of B-cells, CD4+ T-cells, and CD8+ T-cells but positively with the M0 macrophages. Pathway enrichment analysis suggested that CLDN7-related immune factors were mostly involved in the NF-κB and T-cell receptor (TCR) signaling pathways. Univariate Cox regression was used to analyze the correlation between 52 CLDN7 related genes and OS, and 22 genes that are related to prognosis were identified. Prognostic genes were included in the prognostic nomogram of BC with a C-index of 0.76 to predict the 3-year and 5-year OS probabilities of BC individuals.

Conclusions: These findings provide evidence for the role of CLDN7-linked tumor immunity, suggesting that CLDN7 might be a potential immunotherapeutic target for BC, and its association with immune markers could shed light on the better prognosis of BC.

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来源期刊
Diagnostic Pathology
Diagnostic Pathology 医学-病理学
CiteScore
4.60
自引率
0.00%
发文量
93
审稿时长
1 months
期刊介绍: Diagnostic Pathology is an open access, peer-reviewed, online journal that considers research in surgical and clinical pathology, immunology, and biology, with a special focus on cutting-edge approaches in diagnostic pathology and tissue-based therapy. The journal covers all aspects of surgical pathology, including classic diagnostic pathology, prognosis-related diagnosis (tumor stages, prognosis markers, such as MIB-percentage, hormone receptors, etc.), and therapy-related findings. The journal also focuses on the technological aspects of pathology, including molecular biology techniques, morphometry aspects (stereology, DNA analysis, syntactic structure analysis), communication aspects (telecommunication, virtual microscopy, virtual pathology institutions, etc.), and electronic education and quality assurance (for example interactive publication, on-line references with automated updating, etc.).
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