Identification of cholesterol metabolism-related subtypes in nonfunctioning pituitary neuroendocrine tumors and analysis of immune infiltration

被引:0
|
作者
Feng, Tianshun [1 ]
Hou, Pengwei [2 ]
Mu, Shuwen [2 ]
Fang, Yi [3 ]
Li, Xinxiong [4 ]
Li, Ziqi [1 ]
Wang, Di [5 ]
Chen, Li [2 ]
Lu, Lingling [6 ]
Lin, Kunzhe [2 ]
Wang, Shousen [1 ,2 ]
机构
[1] Xiamen Univ, Dongfang Affiliated Hosp, Sch Med, Dept Neurosurg, Fuzhou, Peoples R China
[2] Fujian Med Univ, Fuzhou Hosp 900, Fuzong Clin Med Coll, Dept Neurosurg, Fuzhou, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Neurosurg, Beijing, Peoples R China
[4] Xiamen Univ, Dongfang Affiliated Hosp, Sch Med, Dept Gen Surg, Fuzhou, Peoples R China
[5] Fujian Med Univ, Fujian Canc Hosp, Dept Mol Pathol, Clin Oncol Sch, Fuzhou, Peoples R China
[6] Fujian Med Univ, Fuzong Clin Med Coll, Fuzhou, Peoples R China
关键词
Cholesterol metabolism; Immune infiltration; Nonfunctioning pituitary neuroendocrine tumor; Cavernous sinus invasion; URSODEOXYCHOLIC ACID; ADENOMAS; BIOMARKERS; DIAGNOSIS; EXPRESSION; APOPTOSIS; INVASION;
D O I
10.1186/s12944-023-01883-3
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
ObjectiveThis study aimed to investigate the role of cholesterol metabolism-related genes in nonfunctioning pituitary neuroendocrine tumors (NF-PitNETs) invading the cavernous sinus and analyze the differences in immune cell infiltration between invasive and noninvasive NF-PitNETs.MethodsFirst, a retrospective analysis of single-center clinical data was performed. Second, the immune cell infiltration between invasive and noninvasive NF-PitNETs in the GSE169498 dataset was further analyzed, and statistically different cholesterol metabolism-related gene expression matrices were obtained from the dataset. The hub cholesterol metabolism-related genes in NF-PitNETs were screened by constructing machine learning models. In accordance with the hub gene, 73 cases of NF-PitNETs were clustered into two subtypes, and the functional differences and immune cell infiltration between the two subtypes were further analyzed.ResultsThe clinical data of 146 NF-PitNETs were evaluated, and the results showed that the cholesterol (P = 0.034) between invasive and noninvasive NF-PitNETs significantly differed. After binary logistic analysis, cholesterol was found to be an independent risk factor for cavernous sinus invasion (CSI) in NF-PitNETs. Bioinformatics analysis found three immune cells between invasive and noninvasive NF-PitNETs were statistically significant in the GSE169498 dataset, and 34 cholesterol metabolism-related genes with differences between the two groups were obtained 12 hub genes were selected by crossing the two machine learning algorithm results. Subsequently, cholesterol metabolism-related subgroups, A and B, were obtained by unsupervised hierarchical clustering analysis. The results showed that 12 immune cells infiltrated differentially between the two subgroups. The chi-square test revealed that the two subgroups had statistically significance in the invasive and noninvasive samples (P = 0.001). KEGG enrichment analysis showed that the differentially expressed genes were mainly enriched in the neural ligand-receptor pathway. GSVA analysis showed that the mTORC signaling pathway was upregulated and played an important role in the two-cluster comparison.ConclusionBy clinical data and bioinformatics analysis, cholesterol metabolism-related genes may promote the infiltration abundance of immune cells in NF-PitNETs and the invasion of cavernous sinuses by NF-PitNETs through the mTOR signaling pathway. This study provides a new perspective to explore the pathogenesis of cavernous sinus invasion by NF-PitNETs and determine potential therapeutic targets for this disease.
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页数:13
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