Glycolysis induces Th2 cell infiltration and significantly affects prognosis and immunotherapy response to lung adenocarcinoma

被引:18
作者
Zeng, Liping [1 ,2 ]
Liang, Lu [3 ]
Fang, Xianlei [2 ]
Xiang, Sha [2 ]
Dai, Chenglong [4 ]
Zheng, Tao [5 ]
Li, Tian [6 ]
Feng, Zhenbo [1 ]
机构
[1] Guangxi Med Univ, Affiliated Hosp 1, Dept Pathol, 6 Shuangyong Rd, Nanning 530021, Guangxi Zhuang, Peoples R China
[2] Hunan Univ Med, Coll Basic Med, 492 Jinxi South Rd, Huaihua 418000, Peoples R China
[3] Hunan Univ Med, Affiliated Hosp 1, Dept Pathol, Yushi RD, Huaihua 418000, Peoples R China
[4] Hunan Univ Med, Affiliated Hosp 1, Dept Phys Diag, 383 Yushi RD, Huaihua 418000, Peoples R China
[5] 2 Peoples Hosp Huaihua, Dept Radiotherapy Oncol, Huaihua 418000, Peoples R China
[6] Fourth Mil Med Univ, Sch Basic Med, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
Glycolysis; Th2; cell; Prognosis; Model; Immunotherapy; METABOLIC HETEROGENEITY; CANCER;
D O I
10.1007/s10142-023-01155-4
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Glycolysis has a major role in cancer progression and can affect the tumor immune microenvironment, while its specific role in lung adenocarcinoma (LUAD) remains poorly studied. We obtained publicly available data from The Cancer Genome Atlas and Gene Expression Omnibus databases and used R software to analyze the specific role of glycolysis in LUAD. The Single Sample Gene Set Enrichment Analysis (ssGSEA) indicated a correlation between glycolysis and unfavorable clinical outcome, as well as a repression effect on the immunotherapy response of LUAD patients. Pathway enrichment analysis revealed a significant enrichment of MYC targets, epithelial-mesenchymal transition (EMT), hypoxia, G2M checkpoint, and mTORC1 signaling pathways in patients with higher activity of glycolysis. Immune infiltration analysis showed a higher infiltration of M0 and M1 macrophages in patients with elevated activity of glycolysis. Moreover, we developed a prognosis model based on six glycolysis-related genes, including DLGAP5, TOP2A, KIF20A, OIP5, HJURP, and ANLN. Both the training and validation cohorts demonstrated the high efficiency of prognostic prediction in this model, which identified that patients with high risk may have a poorer prognosis and lower sensitivity to immunotherapy. Additionally, we also found that Th2 cell infiltration may predict poorer survival and resistance to immunotherapy. The study indicated that glycolysis is significantly associated with poor prognosis in patients with LUAD and immunotherapy resistance, which might be partly dependent on the Th2 cell infiltration. Additionally, the signature comprised of six genes related to glycolysis showed promising predictive value for LUAD prognosis.
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页数:13
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