Sheervalilou Milad, Ghanei Mostafa, Arabfard Masoud
Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Discov Oncol. 2025 Jul 24;16(1):1403. doi: 10.1007/s12672-025-03272-x.
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.
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|logFC| >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.
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 (R >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.
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.
微生物肺部感染可能通过重叠的分子机制促进肺癌的发展。本分析旨在确定肺腺癌(LUAD)和微生物肺部感染中共同调控的外周血基因特征。
使用limma软件包分析了来自五个GEO测试数据集的总共403个外周血转录组谱——两个LUAD数据集(GSE39345、GSE103527)和三个感染相关数据集(GSE40012、GSE65682、GSE103119)。差异表达基因(DEG)定义为|logFC|>1且p<0.05。另外两个GEO数据集(GSE42826和GSE42830),包含30个血液样本(16个LUAD样本、14个肺部感染样本),用作验证集。对共享的DEG进行KEGG和GO富集分析。在Cytoscape中构建蛋白质-蛋白质相互作用(PPI)网络,并鉴定出前10个枢纽基因。使用Mann-Whitney U检验比较验证的LUAD样本和肺部感染样本中枢纽基因的表达数据,随后进行线性回归和Pearson相关性分析以确认共同调控。使用xCell反卷积算法评估免疫细胞浸润情况。
LUAD和感染数据集之间共有93个显著的DEG,包括40个上调基因和53个下调基因。八个枢纽基因在LUAD和肺部感染中均表现出一致的差异表达:BCL6、CD163、S100A12(上调);以及FLT3LG、RPL13、RPL14、RPL22、RPS4X(下调),其中BCL6、S100A12、FLT3LG、RPL13、RPL14、RPL22和RPS4X显著共同调控(R>0.8,p<0.001)且具有相关性(p<0.05)。免疫分析显示,上调基因与免疫抑制细胞如调节性T细胞和M2巨噬细胞相关,而下调基因与包括CD8 T细胞和M1巨噬细胞在内的抗肿瘤免疫细胞浸润呈正相关。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。
本分析确定了一个基于血液的7基因特征,该特征在LUAD和微生物肺部感染之间共享,与免疫抑制微环境特征相关,提示感染驱动的炎症与肿瘤促进性免疫调节之间存在潜在联系。