肺腺癌和微生物肺部感染的共享血液基因特征:生物信息学分析和计算机验证。

IF 2.8 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Milad Sheervalilou, Mostafa Ghanei, Masoud Arabfard
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引用次数: 0

摘要

背景:肺部微生物感染可能通过重叠的分子机制促进肺癌的发展。该分析旨在确定肺腺癌(LUAD)和微生物肺部感染中共同调节的外周血基因特征。方法:使用limma软件包分析来自5个GEO测试数据集的403个外周血转录组学图谱,其中2个LUAD (GSE39345, GSE103527)和3个感染相关(GSE40012, GSE65682, GSE103119)。差异表达基因(deg)由|log2FC| >1和p定义。结果:LUAD和感染数据集共有93个显著deg,包括40个上调基因和53个下调基因。8个枢纽基因在LUAD和肺部感染中均表现出一致的差异表达:BCL6、CD163、S100A12(上调);和FLT3LG、RPL13、RPL14、RPL22、RPS4X(下调),其中BCL6、S100A12、FLT3LG、RPL13、RPL14、RPL22、RPS4X显著共调控(R2 >.8、p + T细胞和M1巨噬细胞)。在LUAD和肺部感染之间观察到一致的免疫、基质和微环境评分。结论:该分析确定了LUAD和微生物肺部感染之间共享的基于血液的7个基因特征,与免疫抑制微环境特征相关,表明感染驱动的炎症和肿瘤促进免疫调节之间存在潜在联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shared blood gene signature in lung adenocarcinoma and microbial lung infections: a bioinformatic analysis and in silico validation.

Background: Microbial lung infections may promote development of lung cancer through overlapping molecular mechanisms. This analysis aimed to identify a co-regulated peripheral blood gene signature in lung adenocarcinoma (LUAD) and microbial lung infections.

Methods: A total of 403 peripheral blood transcriptomic profiles from five GEO test datasets-two LUAD (GSE39345, GSE103527) and three infection-related (GSE40012, GSE65682, GSE103119)-were analyzed using the limma package. Differentially expressed genes (DEGs) were defined by|log2FC| >1 and p < 0.05. Two additional GEO datasets (GSE42826 and GSE42830), comprising 30 blood samples (16 LUAD, 14 lung infection), served as validation sets. Shared DEGs were subjected to KEGG and GO enrichment analyses. Protein-protein interaction (PPI) networks were constructed in Cytoscape, and the top 10 hub genes were identified. Expression data of hub genes were compared between validation LUAD and lung infection samples using the Mann-Whitney U test, followed by linear regression and Pearson correlation to confirm co-regulation. Immune cell infiltration was assessed using xCell deconvolution algorithm.

Results: Ninety-three significant DEGs were shared between LUAD and infection datasets, including 40 upregulated and 53 downregulated genes. Eight hub genes showed consistent differential expression in both LUAD and lung infection: BCL6, CD163, S100A12 (upregulated); and FLT3LG, RPL13, RPL14, RPL22, RPS4X (downregulated), of which BCL6, S100A12, FLT3LG, RPL13, RPL14, RPL22 and RPS4X were significantly co-regulated (R2 >0.8, p < 0.001) and correlated (p < 0.05). Immune profiling revealed that upregulated genes were associated with immunosuppressive cells such as Tregs and M2 macrophages, while downregulated genes were positively correlated with antitumor immune cell infiltration including CD8+ T cells and M1 macrophages. Consistent immune, stroma and microenvironment scores were observed between LUAD and lung infection.

Conclusion: This analysis identified a blood-based 7-gene signature shared between LUAD and microbial lung infections, associated with immunosuppressive microenvironment features, suggesting a potential link between infection-driven inflammation and tumor-promoting immune modulation.

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来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
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