Evidence map›Paper›PMID 39618823›Full record

ArticleMolecular therapy. Nucleic acids2024

Interpretable deep cross networks unveiled common signatures of dysregulated epitranscriptomes across 12 cancer types.

Rong Xia, Xiangyu Yin, Jiaming Huang, Kunqi Chen, Jiongming Ma, Zhen Wei, Jionglong Su, Neil Blake, Daniel J Rigden, Jia Meng and 1 more

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. Article
  6. Functional Prediction of Epitranscriptome.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. Article
  8. 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

11 authors.

Rong XiaDepartment of Public Health, School of Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Xiangyu YinDepartment of Biological Sciences, School of Science, Suzhou Key Laboratory of Cancer Biology and Chronic Disease, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Jiaming HuangDepartment of Biological Sciences, School of Science, Suzhou Key Laboratory of Cancer Biology and Chronic Disease, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Kunqi ChenKey Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350004, China.
Jiongming MaDepartment of Biological Sciences, School of Science, Suzhou Key Laboratory of Cancer Biology and Chronic Disease, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Zhen WeiDepartment of Biological Sciences, School of Science, Suzhou Key Laboratory of Cancer Biology and Chronic Disease, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Jionglong SuSchool of AI and Advanced Computing, XJTLU Entrepreneur College (Taicang), Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Neil BlakeInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, L7 8TX Liverpool, UK.
Daniel J RigdenInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, L7 8TX Liverpool, UK.
Jia MengInstitute of Biomedical Research, Regulatory Mechanism and Targeted Therapy for Liver Cancer Shiyan Key Laboratory, Hubei Provincial Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, China.
Bowen SongDepartment of Public Health, School of Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a complex and multifaceted group of diseases characterized by uncontrolled cell growth that leads to the formation of malignant tumors. Recent studies suggest that N6-methyladenosine (m

Indexed as

cancer cell linesepitranscriptomicsgenomic patternsinterpretable deep cross networksm6AMT: BioinformaticsN6-methyladenosine methylationtherapeutic implications in oncology

Identifiers

PMID39618823
PMCPMC11605186

What OpenQuestion holds

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Registered trials

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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.