基于癌症基因组图谱中m7G相关基因的肺鳞状细胞癌预后模型的建立。

IF 2.5 4区 生物学 Q3 CELL BIOLOGY
Physiological genomics Pub Date : 2023-10-01 Epub Date: 2023-08-14 DOI:10.1152/physiolgenomics.00149.2022
Yongheng Wang, Yimin Liu, Rui Wang, Fuyuan Cao, Yi Guan, Yulu Chen, Binbin An, Sisi Qin, Sanqiao Yao
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引用次数: 0

摘要

肺鳞状细胞癌(LUSC)是一种非小细胞性癌症,由于诊断较晚,预后较差。迫切需要新的分子标记物来改善LUSC的诊断和预后。7-甲基鸟苷(m7G)修饰是一种tRNA修饰,在真细菌、真核生物和少数古菌中很常见。这些修饰促进了一些mRNA的周转和稳定性,以防止mRNA衰变,提高翻译效率,减少核糖体暂停,但与人类癌症细胞的低存活率有关。然而,m7G相关基因在LUSC中的表达及其与预后的关系尚不清楚。在本研究中,我们通过比较肿瘤组织(502份LUSC报告)和正常组织(49份相邻非肿瘤肺组织报告)的表达谱,确定了9个与预后相关的差异表达基因。这些基因包括6个上调基因(KLK7、LCE3E、AREG、KLK6、ZBED2和MAPK4)和3个下调基因(ADH1C、NTS和ERLIN2)。基于这9个基因,将LUSC患者分为低风险组和高风险组,以分析预后趋势。我们发现,9个m7G相关基因通过抗原处理和呈递、粘附斑块、细胞外基质受体相互作用、细胞色素P-450的药物代谢和细胞色素P-450-外源性代谢等途径,在免疫调节、激素调节和药物敏感性中发挥重要作用;这些基因的功能可能部分通过m6A修饰来实现。群体分析进一步表明m7G相关基因对LUSC的诊断和预后的影响。新的和值得注意的是,基于7-甲基鸟苷(m7G)修饰相关基因在正常和肺鳞状细胞癌(LUSC)组织之间的差异表达,并考虑到我们的m7G相关基因风险谱作为预测总生存率的独立风险因素的表现,我们得出结论,m7G修饰与LUSC的发展密切相关。此外,本研究为预测LUSC患者的预后提供了一种新的遗传标记,并为未来研究LUSC中m7G修饰相关基因、免疫和药物敏感性之间的关系提供了重要的理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishment of a prognostic model toward lung squamous cell carcinoma based on m7G-related genes in the cancer genome atlas.

Lung squamous cell carcinoma (LUSC) is a non-small cell lung cancer with a poor prognosis owing to late diagnosis. New molecular markers are urgently needed to improve the diagnosis and prognosis of LUSC. 7-Methylguanosine (m7G) modifications, a tRNA modification, are common in eubacteria, eukaryotes, and a few archaea. These modifications promote the turnover and stability of some mRNAs to prevent mRNA decay, improve translation efficiency, and reduce ribosomal pausing but are associated with poor survival in human cancer cells. However, expression of m7G-related genes in LUSC and their association with prognosis remain unclear. In the present study, we identified nine differentially expressed genes related to prognosis by comparing the expression profiles of tumor tissues (502 LUSC reports) with normal tissues (49 adjacent nontumor lung tissue reports). The genes included six upregulated genes (KLK7, LCE3E, AREG, KLK6, ZBED2, and MAPK4) and three downregulated genes (ADH1C, NTS, and ERLIN2). Based on these nine genes, patients with LUSC were classified into low- and high-risk groups to analyze the trends in prognosis. We found that the nine m7G-related genes play important roles in immune regulation, hormone regulation, and drug sensitivity through pathways including antigen processing and presentation, adherent plaques, extracellular matrix receptor interactions, drug metabolism of cytochrome P-450, and metabolism of cytochrome P-450 to xenobiotics; the functions of these genes are likely accomplished in part by m6A modifications. The effect of m7G-related genes on the diagnosis and prognosis of LUSC was further indicated by population analysis.NEW & NOTEWORTHY Based on the differential expression of 7-methylguanosine (m7G) modification-associated genes between normal and lung squamous cell carcinoma (LUSC) tissues, and considering the performance of our m7G-related gene risk profiles as independent risk factors in predicting overall survival, we conclude that m7G modification is closely linked to the development of LUSC. In addition, this study offers a new genetic marker for predicting the prognosis of patients with LUSC and presents a crucial theoretical foundation for future investigations on the relationship between m7G modification-related genes, immunity, and drug sensitivity in LUSC.

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来源期刊
Physiological genomics
Physiological genomics 生物-生理学
CiteScore
6.10
自引率
0.00%
发文量
46
审稿时长
4-8 weeks
期刊介绍: The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.
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