Evidence map›Paper›PMID 34349094›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2021

N6-Methyladenosine Regulators Are Involved in the Progression of and Have Clinical Impact on Breast Cancer.

Yanni Song, Chaojing Zheng, Yangbao Tao, Rui Huang, Qian Zhang

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. The Key Role of RNA Modification in Breast Cancer.Frontiers in cell and developmental biology · 2022
    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

5 authors at 3 institutions in 1 country.

Yanni SongDepartment of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China (mainland).
Chaojing ZhengDepartment of Colorectal Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China (mainland).
Yangbao TaoDepartment of Colorectal Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China (mainland).
Rui HuangDepartment of Colorectal Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China (mainland).
Qian ZhangDepartment of Colorectal Surgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China (mainland).
Second Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND N6-methyladenosine (m⁶A) modification has been widely studied in various cancers, and m6A regulators, such as METTL3, METTL14, WTAP, and YTHDF1, play crucial roles in breast cancer. However, a comprehensive study of m6A regulators in breast cancer is still lacking. MATERIAL AND METHODS Expression data of m⁶A regulators and clinicopathological information were acquired from The Cancer Genome Atlas (TCGA) program. Protein interaction was collected from the STRING database. Data on tumor purity and correlation among m6A regulators were obtained from the TIMER database. LASSO, consensus clustering, and gene set enrichment analysis (GSEA) were used to evaluate the role of m⁶A regulators. Moreover, the prognostic value of m⁶A-related genomic targets in breast cancer was analyzed by Kaplan-Meier analysis and Cox regression models. RESULTS We found most m⁶A regulators were associated with key clinicopathological parameters, such as tumor staging, Nottingham prognostic index (NPI), and cellularity. Also, consensus clustering analysis-based grouping could effectively predict patients' overall survival. Correlation analysis also showed that these regulators interacted with each other. Patients were further split into a high-risk group and low-risk group based on Cox and LASSO analysis. High-risk patients had a significantly worse overall survival than did low-risk patients. Moreover, AKT1 and MYC were enriched in patients in the high-risk group, according to GSEA analysis. The patients in the high-risk group also displayed resistance to chemoradiotherapy or hormone therapy. CONCLUSIONS The m⁶A regulators are critical participants in the development and progression of breast cancer and are likely to be used to predict prognosis and develop treatment strategies.

Indexed as

Breast NeoplasmsAdenosineCell Cycle ProteinsCell DifferentiationDrug Resistance, NeoplasmFemaleGene Regulatory NetworksHumansMethyltransferasesNeoplasm StagingPredictive Value of TestsPrognosisProtein Interaction MapsRisk AssessmentRNA-Binding ProteinsRNA Splicing FactorsAdenosineCell Cycle ProteinsMethyltransferasesMETTL14 protein, humanMETTL3 protein, humanN-methyladenosineRNA-Binding ProteinsRNA Splicing FactorsWTAP protein, humanYTHDF1 protein, human

Identifiers

PMID34349094
PMCPMC8353996
OpenAlexW3191721913

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.