Evidence map›Paper›PMID 34745136›Full record

ArticleFrontiers in immunology2021

Identification of a DNA Methylation-Driven Genes-Based Prognostic Model and Drug Targets in Breast Cancer:

Saisai Tian, Lu Fu, Jinbo Zhang, Jia Xu, Li Yuan, Jiangjiang Qin, Weidong Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% of its field
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 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Article
  5. Article
  6. Regulatory role of the miR-142-3p/Translational lung cancer research · 2024
    Article
  7. Review
  8. Article
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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 at 3 institutions in 1 country.

Saisai TianSchool of Pharmacy, Second Military Medical University, Shanghai, China.
Lu FuSchool of Pharmacy, Second Military Medical University, Shanghai, China.
Jinbo ZhangSchool of Pharmacy, Second Military Medical University, Shanghai, China.
Jia XuSchool of Pharmacy, Henan University, Kaifeng, China.
Li YuanCancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Jiangjiang QinCancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Weidong ZhangSchool of Pharmacy, Second Military Medical University, Shanghai, China.
Second Military Medical University · CNUniversity of Chinese Academy of Sciences · CNHenan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is a vital epigenetic change that regulates gene transcription and helps to keep the genome stable. The deregulation hallmark of human cancer is often defined by aberrant DNA methylation which is critical for tumor formation and controls the expression of several tumor-associated genes. In various cancers, methylation changes such as tumor suppressor gene hypermethylation and oncogene hypomethylation are critical in tumor occurrences, especially in breast cancer. Detecting DNA methylation-driven genes and understanding the molecular features of such genes could thus help to enhance our understanding of pathogenesis and molecular mechanisms of breast cancer, facilitating the development of precision medicine and drug discovery. In the present study, we retrospectively analyzed over one thousand breast cancer patients and established a robust prognostic signature based on DNA methylation-driven genes. Then, we calculated immune cells abundance in each patient and lower immune activity existed in high-risk patients. The expression of leukocyte antigen (HLA) family genes and immune checkpoints genes were consistent with the above results. In addition, more mutated genes were observed in the high-risk group. Furthermore, a

Indexed as

DNA MethylationAntineoplastic AgentsBiomarkers, TumorBreastBreast NeoplasmsCell LineChromosomal Proteins, Non-HistoneComputer SimulationFemaleGene Expression Regulation, NeoplasticHLA AntigensHumansMutationPrognosisRisk FactorsTranscriptomeAntineoplastic AgentsBiomarkers, Tumorcentromere protein EChromosomal Proteins, Non-HistoneHLA Antigensbreast cancerDNA methylationdrug targetspersonalized prognosticationprecision therapy

Identifiers

PMID34745136
PMCPMC8567755
OpenAlexW3205378953

What Socratic holds

Textmetadata
LicenceCC BY
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.