ITGB4 is a prognostic biomarker and correlated with lung adenocarcinoma brain metastasis.

IF 2.8 3区 医学 Q2 ONCOLOGY Clinical & Translational Oncology Pub Date : 2024-12-01 Epub Date: 2024-05-22 DOI:10.1007/s12094-024-03527-z
Jingjing Zhang, Lingjie Li, Weiwei Luo, Shenglin Ma, Yanyan Zhao
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Abstract

Background: The aim of this study is to explore the prognostic value and immune signature of ITGB4 expression in lung adenocarcinoma (LUAD) brain metastasis.

Methods: We comprehensively screened genes associated with LUAD brain metastasis by integrating datasets from the GEO database and TMT-based quantitative proteomics profiles. Univariable survival and Multivariate Cox analysis was used to compare several clinical characteristics with survival, and a risk model was constructed. The biological functions were explored via GO and KEGG analysis. Gene set enrichment analysis (GSEA) was performed using the TCGA dataset. In addition, we use TIMER to explore the collection of ITGB4 Expression and Immune Infiltration Level in LUAD. The ability of ITGB4 to regulate tumor metastasis was further assessed by migration, invasion assay and Western-blot in H1975-BrM4 cells.

Results: We found that ITGB4 was the only gene with high clinical diagnostic and prognostic value in LUAD. Enrichment analysis indicated that ITGB4 is associated with brain metastasis, infiltration of immune cells, and the response to immunotherapy. ITGB4 expression can effectively predict the outcomes of patients with LUAD who are receiving anti-PD-1 therapy. ITGB4 knockdown inhibited the invasion, migration of H1975-BrM4 brain metastasis cells, as well as epithelial-mesenchymal transition (EMT) abilities. The heightened expression of ITGB4 protein was shown to promote EMT and enhance the metastatic potential. ITGB4 promotes the progression in H1975-BrM4 cells via MEK/ERK signaling pathway.

Conclusions: Our findings indicate that the expression of ITGB4 is linked to the occurrence of brain metastasis and infiltration of immune cells, suggesting that ITGB4 might be a clinical treatment target for LUAD.

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ITGB4是一种预后生物标志物,与肺腺癌脑转移相关。
背景:本研究旨在探讨ITGB4在肺腺癌(LUAD)脑转移中的预后价值和免疫特征:本研究旨在探讨ITGB4表达在肺腺癌(LUAD)脑转移中的预后价值和免疫特征:我们通过整合GEO数据库的数据集和基于TMT的定量蛋白质组学图谱,全面筛选了与LUAD脑转移相关的基因。采用单变量生存率和多变量Cox分析比较了几种临床特征与生存率的关系,并构建了风险模型。通过 GO 和 KEGG 分析探讨了生物功能。利用 TCGA 数据集进行了基因组富集分析(GSEA)。此外,我们还利用 TIMER 探索了 LUAD 中 ITGB4 表达和免疫渗透水平的集合。我们还通过迁移、侵袭试验和Western-blot对H1975-BrM4细胞进一步评估了ITGB4调控肿瘤转移的能力:结果:我们发现ITGB4是唯一一个对LUAD具有较高临床诊断和预后价值的基因。富集分析表明,ITGB4与脑转移、免疫细胞浸润和免疫治疗反应有关。ITGB4的表达能有效预测接受抗PD-1治疗的LUAD患者的预后。敲除ITGB4抑制了H1975-BrM4脑转移细胞的侵袭、迁移以及上皮-间质转化(EMT)能力。研究表明,ITGB4 蛋白的高表达可促进 EMT 并增强转移潜能。ITGB4通过MEK/ERK信号通路促进H1975-BrM4细胞的进展:我们的研究结果表明,ITGB4的表达与脑转移的发生和免疫细胞的浸润有关,这表明ITGB4可能是LUAD的临床治疗靶点。
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来源期刊
CiteScore
6.20
自引率
2.90%
发文量
240
审稿时长
1 months
期刊介绍: Clinical and Translational Oncology is an international journal devoted to fostering interaction between experimental and clinical oncology. It covers all aspects of research on cancer, from the more basic discoveries dealing with both cell and molecular biology of tumour cells, to the most advanced clinical assays of conventional and new drugs. In addition, the journal has a strong commitment to facilitating the transfer of knowledge from the basic laboratory to the clinical practice, with the publication of educational series devoted to closing the gap between molecular and clinical oncologists. Molecular biology of tumours, identification of new targets for cancer therapy, and new technologies for research and treatment of cancer are the major themes covered by the educational series. Full research articles on a broad spectrum of subjects, including the molecular and cellular bases of disease, aetiology, pathophysiology, pathology, epidemiology, clinical features, and the diagnosis, prognosis and treatment of cancer, will be considered for publication.
期刊最新文献
Correction: Multi‑index comprehensive evaluation of the efficacy and response mechanism of immunotherapy in non‑small cell lung cancer. A retrospective analysis of the clinicopathological features and prognostic value of MAPK12 protein expression in diffuse large B-cell lymphoma. Identification of SMC2 and SMC4 as prognostic markers in breast cancer through bioinformatics analysis. ITGB4 is a prognostic biomarker and correlated with lung adenocarcinoma brain metastasis. The value of combined MRI, enhanced CT and 18F-FDG PET/CT in the diagnosis of recurrence and metastasis after surgery for ovarian cancer.
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