Comprehensive analysis of the roles of fatty acid transport related proteins in clear cell renal cell carcinoma

肾透明细胞癌 脂肪酸结合蛋白 肾细胞癌 基因 癌症研究 生物 DNA甲基化 清除单元格 肿瘤进展 甲基化 基因表达 内科学 肿瘤科 医学 遗传学
作者
Zheng Jing,Yanzhi Li,Wei‐Jie Ni,Shi-mei Hou,Ke-Qi Lu,Yu Yan,Lu Ren,Bi‐Cheng Liu,Bin Wang
出处
期刊:Prostaglandins & Other Lipid Mediators [Elsevier]
卷期号:167: 106732-106732 被引量:1
标识
DOI:10.1016/j.prostaglandins.2023.106732
摘要

This study aimed to explore the clinical significance of fatty acid transport-related protein (FATRP) in patients with clear cell renal cell carcinoma(ccRCC).RNA-seq data and corresponding clinical data of ccRCC were obtained from TCGA data portal. Seventeen key FATRP genes were comprehensively investigated using bioinformatics approaches to systematically investigate their expression patterns in ccRCC. In addition, the correlation between the expression levels of these genes and clinicopathological features in ccRCC was further explored.Among the 17 key FATRP genes, only FABP5, FABP6, and FABP7 could be regarded as ideal biomarkers for ccRCC, as they were highly expressed in ccRCC tumor tissues, and positively correlates with tumor progression and poor prognosis. FABP6 had the highest copy number variations (CNV) events (63.07 %), and ccRCC patients with FABP6 amplification had a better prognosis than the unaltered group. DNA methylation levels of FABP6 and FABP7 were downregulated in ccRCC tumor tissues compared to those in normal tissues. FABP5 showed the opposite results. Moreover, a novel four FATRP gene (FABP1, FABP5, FABP7, FATP2) and three clinical parameter (age, stage, and grade) prediction model was constructed and that comprised a significant independent prognostic signature.Only a few FATRP genes are upregulated in ccRCC tumor tissue, and positively correlate with tumor progression and poor prognosis. The accuracy of a single gene of these FATRP genes as predictors of progression and prognosis of ccRCC is limited. The performance of the novel prediction model proposed by this study was much better than that of any single gene.
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