Evidence map›Paper›PMID 36742366›Full record

ArticleOncology letters2023

rs77283072 influences breast cancer susceptibility by regulating

Guang-Huan He, Shao-Dong Liu, Xiao-Qian Shi, Ying Chen, Li Su, Qiao-Na Shi, Chang Sun

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2023. 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
0.5field-weighted citation impact, top 29% 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, 2 citations in OpenAlex.

  1. The Mechanism of DNA Methylation and miRNA in Breast Cancer.International journal of molecular sciences · 2023
    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

7 authors at 1 institution in 1 country.

Guang-Huan HeCollege of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, P.R. China.
Shao-Dong LiuCollege of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, P.R. China.
Xiao-Qian ShiCollege of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, P.R. China.
Ying ChenCollege of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, P.R. China.
Li SuCollege of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, P.R. China.
Qiao-Na ShiCollege of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, P.R. China.
Chang SunCollege of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, P.R. China.
Shaanxi Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the cancer type with the highest morbidity rates in women, and previous genome-wide association studies (GWASs) have suggested that the single nucleotide polymorphism (SNP) rs1011970 is significantly associated with this disease. An analysis of data from the 1000 Genomes Project demonstrated that there is an SNP, rs77283072, in almost complete linkage disequilibrium with rs1011970, which should therefore present the same signal in a GWAS. However, the actual causal SNP and its associated underlying mechanism have yet to be elucidated. Therefore, the present study evaluated the role of rs77283072 in terms of its association with breast cancer. A dual-luciferase assay was performed, which demonstrated that the two alleles of rs1011970 did not exhibit significantly different reporter gene activity. However, the A allele of rs77283072 exhibited a significant increase in relative luciferase activity compared with the G allele, which suggested that rs77283072 was the causal SNP for breast cancer. Chromosome conformation capture demonstrated that the enhancer containing rs77283072 interacted with the promoter of cyclin-dependent kinase inhibitor 2A (

Indexed as

breast cancerCDKN2Ars1011970rs77283072susceptibility

Identifiers

PMID36742366
PMCPMC9853096
OpenAlexW4313567225

What OpenQuestion holds

Textmetadata
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.