Evidence map›Paper›PMID 39468547›Full record

ReviewJournal of translational medicine2024

N6-Methyladenosine methylation modification in breast cancer: current insights.

Guangwen Zhang, Chen Cheng, Xinle Wang, Shiming Wang

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. [circ_EPHB4 synergizes with YTHDF3 to promote glioma progressionNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
    Article
  7. mEpigenomes · 2025
    Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. 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

4 authors.

Guangwen Zhang *First Clinical Medical College of Shanxi Medical University, No. 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China. workzgw@163.com.
Chen Cheng *Department of General Surgery, Jincheng General Hospital, Shanxi Medical University, Financial Street, Jincheng, 048006, Shanxi, China.
Xinle WangFirst Clinical Medical College of Shanxi Medical University, No. 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
Shiming WangDepartment of Breast Surgery, First Hospital of Shanxi Medical University, No. 85 Jiefang South Road, Taiyuan, 030001, Shanxi, China. wangshiming@sxmu.edu.cn.ORCID 0009-0002-4578-9423

Funding

Natural Science Foundation of Shanxi Province 202203021221250
6 · The paper itself

Abstract

Breast cancer is the most common cancer type among women. Despite advanced treatment strategies, some patients still face challenges in disease control, prompting the exploration of new therapeutic approaches. N6-Methyladenosine (m6A) methylation modification regulates RNA and plays a crucial role in various tumor biological processes, closely linked to breast cancer occurrence, development, prognosis, and treatment. M6A regulators impact breast cancer progression, development, and drug resistance by modulating RNA metabolism and tumor-related pathways. Researchers have begun to understand the regulatory mechanisms of m6A methylation in breast cancer. This paper discusses the roles of m6A regulators in breast cancer progression, prognosis, and treatment, offering new perspectives for breast cancer diagnosis and treatment.

Indexed as

AdenosineBreast NeoplasmsFemaleHumansMethylationAdenosineN-methyladenosineBreast cancerm6A regulatorsMethylation modificationN6-Methyladenosine (m6A)Prognosis

Identifiers

PMID39468547
PMCPMC11514918

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.