Evidence map›Paper›PMID 39695922›Full record

ArticleBMC genomics2024

Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data.

Dahua Xu, Yutong Shen, Nihui Zhang, Guoqing Deng, Dehua Zheng, Peihu Li, Jiale Cai, Guanghui Tian, Qingchen Wei, Hongyan Jiang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Dahua Xu *College of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Yutong Shen *College of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Nihui Zhang *College of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Guoqing Deng *College of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Dehua ZhengCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Peihu LiCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Jiale CaiCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Guanghui TianCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Qingchen WeiCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Hongyan JiangCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China.
Jiankai XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. jxu@ems.hrbmu.edu.cn.
Bo WangCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China. wangqugans@163.com.
Kongning LiCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical University, Haikou, 571199, China. likongning@muhn.edu.cn.

Funding

Innovative research project for Graduate students in Hainan Province Qhys2023-489, Qhys2023-447, HYYB2023A36, HYYB2023A06Major Science and Technology Program of Hainan Province ZDKJ2021040National Natural Science Foundation of China 32160152, 32460161
6 · The paper itself

Abstract

backgroundAging 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.

methodsWe 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.

resultsWe 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.

conclusionsWe believe that Aging2Cancer is a valuable resource for identifying novel biomarkers and will serve as a bridge for linking aging to cancer.

Indexed as

AgingDNA Copy Number VariationsGenomicsNeoplasmsDatabases, GeneticDNA MethylationHumansMultiomicsMutationAgingCancerDatabaseMultiomics

Identifiers

PMID39695922
PMCPMC11656765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.