Xu Dahua, Shen Yutong, Zhang Nihui, Deng Guoqing, Zheng Dehua, Li Peihu, Cai Jiale, Tian Guanghui, Wei Qingchen, Jiang Hongyan, Xu Jiankai, Wang Bo, Li Kongning
College of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Hainan Engineering Research Center for Health Big Data, Hainan Medical University, Haikou, 571199, China.
BMC Genomics. 2024 Dec 18;25(1):1205. doi: 10.1186/s12864-024-11150-z.
Aging and tumorigenesis share intricate regulatory processes, that alter the genome, epigenome, transcriptome and immune landscape of tissues. Discovering the link between aging and cancer in terms of multiomics characteristics remains a challenge for biomedical researchers.
We collected high-throughput datasets for 57 human tumors and 20 normal tissues, including 23,125 samples with age information. On the basis of these sufficient omics data, we introduced six useful modules including genomic (somatic mutation and copy number variation), gene expression, DNA methylation, hallmarks (aging and cancer), immune landscape (immune infiltration, immune pathways, immune signatures, and antitumor immune activities) and survival analysis. Correlation and differential analyses were performed for the multiomic signatures associated with aging at the gene level.
We developed Aging2Cancer ( http://210.37.77.200:8080/Aging2Cancer/index.jsp ), which is a comprehensive database and analysis platform for revealing the associations between aging and cancer. Users can search for and visualize the results of genes of interest to explore the relationships between aging and cancer at the gene level for different omics levels.
We believe that Aging2Cancer is a valuable resource for identifying novel biomarkers and will serve as a bridge for linking aging to cancer.
衰老和肿瘤发生有着复杂的调控过程，这些过程会改变组织的基因组、表观基因组、转录组和免疫格局。从多组学特征的角度发现衰老与癌症之间的联系，对生物医学研究人员来说仍然是一项挑战。
我们收集了57种人类肿瘤和20种正常组织的高通量数据集，其中包括23,125个带有年龄信息的样本。基于这些充足的组学数据，我们引入了六个有用的模块，包括基因组学（体细胞突变和拷贝数变异）、基因表达、DNA甲基化、特征（衰老和癌症）、免疫格局（免疫浸润、免疫途径、免疫特征和抗肿瘤免疫活性）以及生存分析。对基因水平上与衰老相关的多组学特征进行了相关性和差异分析。
我们开发了Aging2Cancer（http://210.37.77.200:8080/Aging2Cancer/index.jsp），这是一个用于揭示衰老与癌症之间关联的综合数据库和分析平台。用户可以搜索并可视化感兴趣基因的结果，以在不同组学水平上探索衰老与癌症在基因层面的关系。
我们认为Aging2Cancer是识别新型生物标志物的宝贵资源，并将成为连接衰老与癌症的桥梁。
