Systematic characterization of m6A proteomics across 12 cancer types: a multi-omics integration study†

IF 3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular omics Pub Date : 2023-11-09 DOI:10.1039/D3MO00171G
Hongru Li, Yunke Jiang, Jiajin Chen, Zaiming Li, Ruyang Zhang, Yongyue Wei, Yang Zhao, Sipeng Shen and Feng Chen
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Abstract

The modification patterns of N6-methyladenosine (m6A) regulators and interacting genes are deeply involved in tumors. However, the effect of m6A modification patterns on human proteomics remains largely unknown. We evaluated the molecular characteristics and clinical relevance of m6A modification proteomics patterns among 1013 pan-cancer samples from the Clinical Proteomic Tumor Analysis Consortium (CPTAC). More than half of the m6A proteins were expressed at higher levels in tumor tissues and presented oncogenic characteristics. Furthermore, we performed multi-omics analyses integrating with transcriptomics data of m6A regulators and interactive coding and non-coding RNAs and developed a m6A multi-omics signature to identify potential m6A modification target proteins across global proteomics. It was significantly associated with overall survival in nine cancer types, tumor mutation burden (P = 0.01), and immune checkpoints including PD-L1 (P = 4.9 × 10−8) and PD-1 (P < 0.01). We identified 51 novel proteins associated with the multi-omics signature (PFDR < 0.05). These proteins were functional through pathway enrichment analyses. The protein with the highest hit frequency was CHORDC1, which was significantly up-regulated in tumor tissues in nine cancer types. Its higher abundance was significantly associated with a poorer prognosis in seven cancer types. The identified m6A target proteins might provide infomation for the study of molecular mechanism of cancer.

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12种癌症类型的m6A蛋白质组学的系统表征:一项多组学整合研究。
N6-甲基腺苷(m6A)调节因子和相互作用基因的修饰模式与肿瘤密切相关。然而,m6A修饰模式对人类蛋白质组学的影响在很大程度上仍然未知。我们评估了来自临床蛋白质组肿瘤分析联合会(CPTAC)的1013份泛癌样本中m6A修饰蛋白质组学模式的分子特征和临床相关性。超过一半的m6A蛋白在肿瘤组织中以较高水平表达,并呈现致癌特征。此外,我们结合m6A调节因子的转录组学数据以及相互作用的编码和非编码RNA进行了多组学分析,并开发了m6A多组学签名,以识别全球蛋白质组学中潜在的m6A修饰靶蛋白。它与9种癌症类型的总生存率、肿瘤突变负担(P=0.01)以及包括PD-L1(P=4.9×10-8)和PD-1(P<0.01)在内的免疫检查点显著相关。命中频率最高的蛋白质是CHORDC1,其在9种癌症类型的肿瘤组织中显著上调。在七种癌症类型中,其较高的丰度与较差的预后显著相关。所鉴定的m6A靶蛋白可能为癌症分子机制的研究提供信息。
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来源期刊
Molecular omics
Molecular omics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
5.40
自引率
3.40%
发文量
91
期刊介绍: Molecular Omics publishes high-quality research from across the -omics sciences. Topics include, but are not limited to: -omics studies to gain mechanistic insight into biological processes – for example, determining the mode of action of a drug or the basis of a particular phenotype, such as drought tolerance -omics studies for clinical applications with validation, such as finding biomarkers for diagnostics or potential new drug targets -omics studies looking at the sub-cellular make-up of cells – for example, the subcellular localisation of certain proteins or post-translational modifications or new imaging techniques -studies presenting new methods and tools to support omics studies, including new spectroscopic/chromatographic techniques, chip-based/array technologies and new classification/data analysis techniques. New methods should be proven and demonstrate an advance in the field. Molecular Omics only accepts articles of high importance and interest that provide significant new insight into important chemical or biological problems. This could be fundamental research that significantly increases understanding or research that demonstrates clear functional benefits. Papers reporting new results that could be routinely predicted, do not show a significant improvement over known research, or are of interest only to the specialist in the area are not suitable for publication in Molecular Omics.
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