The multi-omics analyses of acsl1 reveal its translational significance as a tumor microenvironmental and prognostic biomarker in clear cell renal cell carcinoma

被引:3
|
作者
Yang, Yang [1 ,2 ]
Liang, Jiayu [1 ]
Zhao, Junjie [1 ]
Wang, Xinyuan [1 ]
Feng, Dechao [1 ]
Xu, Hang [1 ]
Shen, Yu [1 ]
Zhang, Yaowen [1 ]
Dai, Jindong [1 ]
Wang, Zhipeng [1 ]
Wei, Qiang [1 ,3 ]
Liu, Zhenhua [1 ,3 ]
机构
[1] Sichuan Univ, West China Hosp, Inst Urol, Dept Urol, Chengdu 610041, Peoples R China
[2] First Peoples Hosp Jiujiang Jiangxi Prov, Dept Urol, 48 Taling South Rd, Jiujiang 332000, Jiangxi, Peoples R China
[3] 37 Guoxue Alley, Chengdu, Sichuan, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
ACSL1; Clear cell renal cell carcinoma; Methylation; Immune Microenvironment; m6A modification; ABNORMAL LIPID-METABOLISM; DNA METHYLATION; COMPREHENSIVE ANALYSIS; GENE-EXPRESSION; CANCER; HYPOXIA; FERROPTOSIS; TRANSITION; REGULATORS; RESPONSES;
D O I
10.1186/s13000-023-01384-y
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
BackgroundClear cell renal cell carcinoma (ccRCC) is the dominant subtype of kidney cancer. Dysregulation of long-chain acyl-CoA synthetase 1 (ACSL1) is strongly implicated in undesirable results in varieties of cancers. Nevertheless, the dysregulation and associated multi-omics characteristics of ACSL1 in ccRCC remain elusive.MethodsWe probed the mRNA and protein profiles of ACSL1 in RCC using data from the Cancer Genome Atlas, Gene Expression Omnibus, the Human Protein Atlas (HPA), and Clinical Proteomic Tumor Analysis Consortium (CPTAC) and verified them in our patient cohort and RCC cell lines. Correlations between ACSL1 expression and clinicopathological features, epigenetic modification and immune microenvironment characteristics were analyzed to reveal the multi-omics profile associated with ACSL1.ResultsACSL1 was down-regulated in ccRCC tissues compared to adjacent normal tissues. Lower expression of ACSL1 was linked to unfavorable pathological parameters and prognosis. The dysregulation of ACSL1 was greatly ascribed to CpG island-associated methylation modification. The ACSL1 high-expression subgroup had enriched fatty acid metabolism-related pathways and high expression of ferroptosis-related genes. In contrast, the ACSL1 low-expression subgroup exhibited higher immune and microenvironment scores, elevated expression of immune checkpoints PDCD1, CTLA4, LAG3, and TIGIT, and higher TIDE scores. Using data from the GDSC database, we corroborated that down-regulation of ACSL1 was associated with higher sensitivity towards Erlotinib, Pazopanib, and PI3K-Akt-mTOR-targeted therapeutic strategies.ConclusionTaken together, our findings point to ACSL1 as a biomarker for prognostic prediction of ccRCC, identifying the tumor microenvironment (TME) phenotype, and even contributing to treatment decision-making in ccRCC patients.
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页数:17
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