Evidence map›Paper›PMID 33365308›Full record

ArticleFrontiers in cell and developmental biology2020

Integrative Analysis of DNA Methylation and Gene Expression to Determine Specific Diagnostic Biomarkers and Prognostic Biomarkers of Breast Cancer.

Ming Zhang, Yilin Wang, Yan Wang, Longyang Jiang, Xueping Li, Hua Gao, Minjie Wei, Lin Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2020. 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
1.8field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. BRCA1/2 methylation and expression dynamics in hereditary breast and ovarian cancer: insights from gene, protein, and TCGA analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Computational Analysis of High-Dimensional DNA Methylation Data for Cancer Prognosis.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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

8 authors at 1 institution in 1 country.

Ming ZhangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Yilin WangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Yan WangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Longyang JiangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Xueping LiDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Hua GaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Minjie WeiDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Lin ZhaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

breast cancerDMSsDNA methylationprognostic markersrisk stratificationspecific diagnostic biomarkers

Identifiers

PMID33365308
PMCPMC7750432
OpenAlexW3111049759

What OpenQuestion 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 OpenQuestion graph.