Evidence map›Paper›PMID 35046699›Full record

ArticlePharmacogenomics and personalized medicine2022

Association Between SNPs in the One-Carbon Metabolism Pathway and the Risk of Female Breast Cancer in a Chinese Population.

Xuhong Wang, Mengqiu Xiong, Bei Pan, William C S Cho, Jin Zhou, Shukui Wang, Bangshun He

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Xuhong Wang *School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210096, People's Republic of China.
Mengqiu Xiong *Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, 210006, People's Republic of China.
Bei PanSchool of Medicine, Southeast University, Nanjing, Jiangsu Province, 210096, People's Republic of China.
William C S ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, People's Republic of China.ORCID 0000-0003-4174-4586
Jin ZhouDepartment of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
Shukui WangSchool of Medicine, Southeast University, Nanjing, Jiangsu Province, 210096, People's Republic of China.
Bangshun HeDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, 210006, People's Republic of China.ORCID 0000-0001-7812-6197
Nanjing Medical University · CNSoutheast University · CNQueen Elizabeth Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study is to assess the relationship between the single-nucleotide polymorphism (SNP) in the one-carbon metabolism pathway (

methodsA population-based case-control study was conducted, involving a total of 439 BC patients and 439 age-matched healthy controls. We adopted Sequence MASSarray to identify genotyping, and used immunohistochemistry (IHC) to test the expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor-2 (HER-2) in tumor tissue.

resultsWe found that rs16999593 (TC/CC vs TT: adjusted OR=1.38, 95% CI: 1.03-1.84,

conclusionIn summary, this study revealed that

Indexed as

breast cancerDNA methylationDNMT1one-carbon metabolismSNP

Identifiers

PMID35046699
PMCPMC8761026
OpenAlexW4206491527

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.