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文章:

L3MBTL3作为胃癌潜在预后生物标志物及其与免疫浸润的相关性研究

L3MBTL3 Is a Potential Prognostic Biomarker and Correlates with Immune Infiltrations in Gastric Cancer

原文发布日期:27 December 2023

DOI: 10.3390/cancers16010128

类型: Article

开放获取: 是

 

英文摘要:

Recent research has linked lethal (3) malignant brain tumor-like 3 (L3MBTL3) to cancer aggressiveness and a dismal prognosis, but its function in gastric cancer (GC) is unclear. This research investigated the association between L3MBTL3 expression and clinicopathological characteristics of GC cases, as well as its prognostic value and biological function based on large-scale databases and clinical samples. The results showed that L3MBTL3 expression was upregulated in malignant GC tissues, which was associated with a shortened survival time and poor clinicopathological characteristics, including TNM staging. A functional enrichment analysis including GO/KEGG and GSEA illustrated the enrichment of different L3MBTL3-associated pathways involved in carcinogenesis and immune response. In addition, the correlations between L3MBTL3 and tumor-infiltrating immune cells were determined based on the TIMER database; the results showed that L3MBTL3 was associated with the immune infiltration of macrophages and their polarization from M1 to M2. Furthermore, our findings suggested a possible function for L3MBTL3 in the regulation of the tumor immune microenvironment of GC. In summary, L3MBTL3 has diagnostic potential, and it also offers new insights into the development of aggressiveness and prognosis in GC.

 

摘要翻译: 

近期研究表明,致死性(3)恶性脑瘤样蛋白3(L3MBTL3)与癌症侵袭性及不良预后相关,但其在胃癌中的作用尚不明确。本研究基于大规模数据库及临床样本,探讨了L3MBTL3表达与胃癌病例临床病理特征之间的关联,并评估了其预后价值及生物学功能。结果显示,L3MBTL3在恶性胃癌组织中表达上调,与患者生存期缩短及不良临床病理特征(包括TNM分期)相关。通过GO/KEGG和GSEA等功能富集分析,揭示了L3MBTL3相关通路在致癌过程和免疫应答中的富集特征。此外,基于TIMER数据库分析了L3MBTL3与肿瘤浸润免疫细胞的相关性,发现L3MBTL3与巨噬细胞的免疫浸润及其从M1型向M2型极化相关。进一步研究提示L3MBTL3可能在调控胃癌肿瘤免疫微环境中发挥潜在作用。综上所述,L3MBTL3具有诊断潜力,并为胃癌侵袭性发展及预后评估提供了新的研究方向。

 

原文链接:

L3MBTL3 Is a Potential Prognostic Biomarker and Correlates with Immune Infiltrations in Gastric Cancer

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