Yi Yali, Xu Wenjie, Yu Houjian, Luo Yuxi, Zeng Fujuan, Luo Daya, Zeng Zhimin, Xiong Le, Huang Long, Cai Jing, Liu Anwen
Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, 330006, PR China.
Jiangxi Key Laboratory of Clinical Translational Cancer Research, Nanchang, Jiangxi Province, PR China.
J Transl Med. 2025 Oct 29;23(1):1193. doi: 10.1186/s12967-025-07207-6.
Tumor Metabolic Behavior modulates the immunosuppressive microenvironment through multiple pathways, thereby compromising anti-tumor immune responses. To date, there have been limited studies assessing the role of metabolic plasticity or immunometabolism in the tumor microenvironment (TME) during metastasis. Notably, emerging evidence suggests the presence of an immunosuppressive niche in brain metastases. This research aims to delineate distinct metabolic signatures in brain metastatic, investigate the impact of tumor-associated glycolysis on the development of brain metastases in lung adenocarcinoma, and characterize the lactylation regulation in this immunosuppressive microenvironment.
The GSE131907 and GSE198291 datasets were retrieved for bioinformatic analysis. Combined with the results of proteomic and transcriptomic sequencing conducted on the lung adenocarcinoma brain metastasis model, differentially expressed signaling pathways were systematically identified through KEGG and GO functional annotations. A multimodal approach encompassing immunohistochemical (IHC) staining, immunofluorescence (IF) imaging, enzyme-linked immunosorbent assay (ELISA) quantification, and co-immunoprecipitation (Co-IP) assays was employed to experimentally validate the characteristics of the immunosuppressive microenvironment and the levels of tumor lactate/lactylation. Rescue experiments were performed by adding a lactylation-specific inhibitor (LDHi) or an H3K18la site-specific inhibitor. Finally, immunohistochemical staining was used to verify the expression level of H3K18la in clinical samples.
A total of 86,215 cells were extracted from the GSE131907 dataset, and the metabolic profiles of different cell types were analyzed. The results showed that glycolysis plays a dominant role in tumor cell metabolism. Further analysis revealed that early-stage primary lesions exhibit an inflammatory response signature, while advanced-stage primary lesions and brain metastatic lesions display an immunosuppressive signature. Elevated glycolytic flux showed a significant positive correlation with both the progression of brain metastasis and the immune evasion capacity of brain metastatic lesions. Pathological evaluation of tumor tissues from the LLC-BM (Lewis Lung Cancer Brain Metastasis) model confirmed its immunosuppressive characteristics. Additionally, obvious hypoxia was observed in the tumor tissues, accompanied by intratumoral vascular malformation and dysfunction. Significant lactate accumulation was present in the tumor microenvironment of LLC-BM tumors, and prominent lactylation modifications were detected in the tumor regions. In this model, Rac2 was identified as a potential core mediator of lactylation modification in macrophages, promoting the M2 polarization of macrophages. Meanwhile, CD40, TNFSF13 and CCL22 were identified as key immunoregulatory factors regulated by lactylation signaling. Notably, H3K18la was significantly highly expressed in lung cancer brain metastatic lesion samples.
The glycolytic pathway plays a critical role in the metabolic reprogramming of tumor cells during lung adenocarcinoma brain metastasis. Tumor glycolysis is closely associated with lung cancer progression, brain metastasis, and immune evasion. The Rac2 could be affected by lactylation, and then facilitate the formation of an immunosuppressive tumor microenvironment by induce the M2 polarization of macrophages.
肿瘤代谢行为通过多种途径调节免疫抑制微环境,从而损害抗肿瘤免疫反应。迄今为止,评估转移过程中代谢可塑性或免疫代谢在肿瘤微环境(TME)中的作用的研究有限。值得注意的是,新出现的证据表明脑转移中存在免疫抑制微环境。本研究旨在描绘脑转移中的独特代谢特征,研究肿瘤相关糖酵解对肺腺癌脑转移发生发展的影响,并表征这种免疫抑制微环境中的乳酸化调控。
检索GSE131907和GSE198291数据集进行生物信息学分析。结合对肺腺癌脑转移模型进行的蛋白质组学和转录组学测序结果,通过KEGG和GO功能注释系统地鉴定差异表达的信号通路。采用包括免疫组织化学(IHC)染色、免疫荧光(IF)成像、酶联免疫吸附测定(ELISA)定量和免疫共沉淀(Co-IP)测定在内的多模态方法,通过实验验证免疫抑制微环境的特征和肿瘤乳酸/乳酸化水平。通过添加乳酸化特异性抑制剂(LDHi)或H3K18la位点特异性抑制剂进行挽救实验。最后,使用免疫组织化学染色验证临床样本中H3K18la的表达水平。
从GSE131907数据集中共提取86215个细胞,并分析不同细胞类型的代谢谱。结果表明,糖酵解在肿瘤细胞代谢中起主导作用。进一步分析显示,早期原发性病变表现出炎症反应特征,而晚期原发性病变和脑转移病变表现出免疫抑制特征。糖酵解通量升高与脑转移进展和脑转移病变的免疫逃逸能力均呈显著正相关。对LLC-BM(Lewis肺癌脑转移)模型的肿瘤组织进行病理评估,证实了其免疫抑制特征。此外,在肿瘤组织中观察到明显的缺氧,伴有瘤内血管畸形和功能障碍。LLC-BM肿瘤的肿瘤微环境中存在显著的乳酸积累,并且在肿瘤区域检测到显著的乳酸化修饰。在该模型中,Rac2被确定为巨噬细胞中乳酸化修饰的潜在核心介质,促进巨噬细胞的M2极化。同时,CD40、TNFSF13和CCL22被确定为受乳酸化信号调节的关键免疫调节因子。值得注意的是,H3K18la在肺癌脑转移病变样本中显著高表达。
糖酵解途径在肺腺癌脑转移过程中肿瘤细胞的代谢重编程中起关键作用。肿瘤糖酵解与肺癌进展、脑转移和免疫逃逸密切相关。Rac2可能受乳酸化影响,进而通过诱导巨噬细胞的M2极化促进免疫抑制性肿瘤微环境的形成。