In silico analysis of the association between long non-coding RNA family with sequence similarity 99 member A (FAM99A) and hepatic cancer

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Manyi Sun, Shuhua Lv, Jin Zhong
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引用次数: 0

Abstract

The link between family with sequence similarity 99 member A (FAM99A), a type of long non-coding RNA, and tumourigenesis remains ambiguous. Therefore, in this study, the authors conducted an expression profile analysis of FAM99A based on 33 types of cancer within The Cancer Genome Atlas project. The expression profile data revealed low expression levels of FAM99A in hepatocellular carcinoma, cholangiocarcinoma, and testicular germ cell tumour tissues than in the normal control tissues. Survival analysis indicated a correlation between low FAM99A expression and worse survival outcome in patients with hepatic cancer. Further investigation revealed the possible implication of DNA methylation, but not copy number variation, in FAM99A-associated hepatic tumourigenesis. The authors also identified a set of differentially expressed genes between patients with hepatic cancer and negative controls, which were found to be related to biochemical metabolism or the cell cycle. Additionally, FAM99A expression may be associated with the infiltration status of several immune cells, such as dendritic cells, natural killer cells, and neutrophils. Overall, FAM99A may function as a prognostic marker that is potentially associated with DNA methylation, immune cell infiltration, and biochemical metabolism in hepatic cancer.

Abstract Image

具有序列相似性的长链非编码RNA家族99成员A (FAM99A)与肝癌相关性的计算机分析
具有序列相似性的家族99成员A (FAM99A)(一种长链非编码RNA)与肿瘤发生之间的联系尚不清楚。因此,在本研究中,作者基于癌症基因组图谱计划中的33种癌症进行了FAM99A的表达谱分析。表达谱数据显示FAM99A在肝细胞癌、胆管癌和睾丸生殖细胞肿瘤组织中的表达水平低于正常对照组织。生存分析显示FAM99A低表达与肝癌患者较差的生存预后相关。进一步的研究表明,在fam99a相关的肝脏肿瘤发生中,DNA甲基化而非拷贝数变异可能具有重要意义。作者还发现了肝癌患者和阴性对照组之间的一组差异表达基因,这些基因被发现与生化代谢或细胞周期有关。此外,FAM99A的表达可能与几种免疫细胞的浸润状态有关,如树突状细胞、自然杀伤细胞和中性粒细胞。总之,FAM99A可能作为一种预后标记物,可能与肝癌的DNA甲基化、免疫细胞浸润和生化代谢相关。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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