Evidence map›Paper›PMID 35655092›Full record

ArticleOncogene2022

Enhancer methylation dynamics drive core transcriptional regulatory circuitry in pan-cancer.

Xu Pan, Xin Li, Jie Sun, Zhiying Xiong, Haoyu Hu, Shangwei Ning, Hui Zhi

Abstract read
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In one paragraph

Article in Oncogene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

7 authors.

Xu Pan *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Xin Li *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Jie SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Zhiying XiongCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Haoyu HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. ningsw@ems.hrbmu.edu.cn.
Hui ZhiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. zhihui@ems.hrbmu.edu.cn.ORCID 0000-0001-9103-8642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence has demonstrated that enhancer methylation has strong and dynamic regulatory effects on gene expression. Some transcription factors (TFs) can auto- and cross-regulate in a feed-forward manner, and cooperate with their enhancers to form core transcriptional regulatory circuitries (CRCs). However, the elaborated regulatory mechanism between enhancer methylation and CRC remains the tip of the iceberg. Here, we revealed that DNA methylation could drive the tissue-specific enhancer basal transcription and target gene expression in human cancers. By integrating methylome, transcriptome, and 3D genomic data, we identified enhancer methylation triplets (enhancer methylation-enhancer transcription-target gene expression) and dissected potential regulatory patterns within them. Moreover, we observed that cancer-specific core TFs regulated by enhancers were able to shape their enhancer methylation forming the enhancer methylation-driven CRCs (emCRCs). Further parsing of clinical implications showed rewired emCRCs could serve as druggable targets and prognostic risk markers. In summary, the integrative analysis of enhancer methylation regulome would facilitate portraying the cancer epigenomics landscape and developing the epigenetic anti-cancer approaches.

Indexed as

Gene Regulatory NetworksNeoplasmsDNA MethylationEnhancer Elements, GeneticEpigenomicsHumans

Identifiers

What OpenQuestion holds

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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.