Identification ATP5F1D as a Biomarker Linked to Diagnosis, Prognosis, and Immune Infiltration in Endometrial Cancer Based on Data-Independent Acquisition (DIA) Analysis.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2024-10-01 Epub Date: 2024-01-24 DOI:10.1007/s10528-023-10646-9
Yuemei Cheng, Xiaolei Liang, Xuehan Bi, Chang Liu, Yongxiu Yang
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Abstract

In developed countries, endometrial cancer (EC) is the most prevalent gynecological cancer. ATP5F1D is a subunit of ATP synthase, as well as an important component of the mitochondrial electron transport chain (ETC). ETC plays a compelling role in carcinogenesis. To date, little is known about the role of ATP5F1D in EC. We undertook data-independent acquisition mass spectrometry (DIA-MS) of 20 EC patients, comprising 10 high-grade and 10 low-grade cancer tissues. Biological functions of differentially expressed genes (DEGs) were analyzed by GO and KEGG. The expression level, clinicopathological features, diagnostic potency, prognostic value, RNA modifications, immune characteristics, and therapy response of ATP5F1D were investigated. In total, 77 DEGs were acquired by DIA analysis, which were closely related to regulating immune response and metabolic pathways. Among the five genes (NDUFB8, SLC26A2, RAF1, ATP5F1D, and GSTM5) involving in reactive oxygen species pathway, ATP5F1D showed the most significant differential expression (2.903-fold change). We found ATP5F1D had a high diagnostic value and was associated with a favorable prognosis in EC patients. After analyzing the RNA modifications of ATP5F1D, revealing a negative regulation between them. Additionally, ATP5F1D was closely related to tumor immune infiltration. Our results suggested T-cell dysfunction and TAM-M2 polarization might be the important mechanisms of ATP5F1D to facilitate tumor immune escape. Noticeably, EC patients with ATP5F1D-high expression had better immune treatment responses and were more sensitive to chemotherapy drugs. ATP5F1D can be used as a biomarker for diagnosis, prognosis, and immune infiltration of EC, and offers a crucial reference for personalized treatment of EC patients.

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基于数据独立采集 (DIA) 分析鉴定 ATP5F1D 为与子宫内膜癌的诊断、预后和免疫渗透相关的生物标记物
在发达国家,子宫内膜癌(EC)是发病率最高的妇科癌症。ATP5F1D 是 ATP 合成酶的一个亚基,也是线粒体电子传递链(ETC)的一个重要组成部分。ETC 在致癌过程中发挥着重要作用。迄今为止,人们对 ATP5F1D 在欧共体中的作用知之甚少。我们对 20 例心肌梗死患者(包括 10 例高级别和 10 例低级别的癌症组织)进行了数据独立采集质谱分析(DIA-MS)。通过 GO 和 KEGG 分析了差异表达基因(DEGs)的生物学功能。研究了ATP5F1D的表达水平、临床病理特征、诊断效力、预后价值、RNA修饰、免疫特征和治疗反应。通过 DIA 分析共获得 77 个 DEGs,这些 DEGs 与调节免疫反应和代谢途径密切相关。在涉及活性氧通路的五个基因(NDUFB8、SLC26A2、RAF1、ATP5F1D和GSTM5)中,ATP5F1D的差异表达最为显著(变化了2.903倍)。我们发现 ATP5F1D 具有很高的诊断价值,并与 EC 患者的良好预后相关。在对 ATP5F1D 的 RNA 修饰进行分析后,发现它们之间存在负调控。此外,ATP5F1D 与肿瘤免疫浸润密切相关。我们的研究结果表明,T细胞功能障碍和TAM-M2极化可能是ATP5F1D促进肿瘤免疫逃逸的重要机制。值得注意的是,ATP5F1D高表达的EC患者免疫治疗反应更好,对化疗药物更敏感。ATP5F1D可作为EC诊断、预后和免疫浸润的生物标志物,为EC患者的个性化治疗提供重要参考。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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