Evidence map›Paper›PMID 40634835›Full record

ArticleBMC genomics2025

CanASM: a comprehensive database for genome-wide allele-specific DNA methylation identification and annotation in cancer.

Jianmei Zhao, Zeyu Zhao, Hongfei Li, Haojie Yu, Hao Lin, Hanqi Chen, Xuecang Li, Di Liu, Yiming Wang, Guohua Wang

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Jianmei Zhao *College of Life Sciences, Northeast Forestry University, Harbin, China.
Zeyu Zhao *Big Data Management and Application, College of Management, Beijing University of Chinese Medicine, Beijing, China.
Hongfei Li *Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
Haojie YuSchool of Medical Informatics, Harbin Medical University, Daqing Campus, Daqing, China.
Hao LinSchool of Medical Informatics, Harbin Medical University, Daqing Campus, Daqing, China.
Hanqi ChenSchool of Medical Informatics, Harbin Medical University, Daqing Campus, Daqing, China.
Xuecang LiSchool of Medical Informatics, Harbin Medical University, Daqing Campus, Daqing, China.
Di LiuCollege of Computer and Control Engineering, Northeast Forestry University, Harbin, China.
Yiming WangCollege of Computer and Control Engineering, Northeast Forestry University, Harbin, China.
Guohua WangCollege of Life Sciences, Northeast Forestry University, Harbin, China. ghwang@nefu.edu.cn.

Funding

National Natural Science Foundation of China 62225109, 62402345, and 62302342
6 · The paper itself

Abstract

Allele-specific DNA methylation (ASM) provides critical insights into the complex genetic and epigenetic mechanisms regulating gene transcription. Emerging evidence suggests that ASM is particularly enriched in gene enhancer regions, and recent studies have demonstrated that ASM is increased in cancer tissues compared with normal tissues. Despite the increasing recognition of ASM as a potential biomarker in tumorigenesis, systematic resources dedicated to identifying and annotating ASMs in cancer contexts remain limited. In this study, we developed CanASM ( https://bioinfor.nefu.edu.cn/CanASM/ ), the first comprehensive database specifically designed to identify and annotate ASM in cancer. In CanASM, ASM sites identified from bisulfite sequencing (BS-Seq) data across 31 cancer types and their matched normal tissue samples are cataloged. Importantly, CanASM includes extensive regulatory annotations for ASMs, including associated genes, cis-regulatory elements and transcription factor binding colocalizations, transcription factor affinity changes, etc. Users can query and explore ASMs using various parameters, such as single-nucleotide variations (SNVs), chromosomal coordinates, and gene names. The current version of CanASM includes 5,003,877 unique SNV-CpG pairs, including 3,056,776 index SNVs, of which 2,634,406 are single-nucleotide polymorphisms (SNPs), and 4,157,508 CpGs. With an intuitive interface for browsing, querying, analyzing, and downloading, CanASM serves as a valuable resource for researchers investigating cancer-associated genetic variations and epigenetic regulation in cancer.

Indexed as

AllelesDatabases, GeneticDNA MethylationNeoplasmsEpigenesis, GeneticGenome, HumanHumansMolecular Sequence AnnotationPolymorphism, Single NucleotideSoftwareBioinformaticsDNA methylationGene regulationSingle nucleotide variation

Identifiers

PMID40634835
PMCPMC12239377

What Socratic 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 Socratic graph.