Evidence map›Paper›PMID 25613069›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

Associations of polymorphisms in microRNAs with female breast cancer risk in Chinese population.

Bangshun He, Yuqin Pan, Yeqiong Xu, Qiwen Deng, Huling Sun, Tianyi Gao, Shukui Wang

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 11 pooled it
2.9field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 11 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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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 2 institutions in 1 country.

Bangshun HeCentral Laboratory, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Yuqin Pan
Yeqiong Xu
Qiwen Deng
Huling Sun
Tianyi Gao
Shukui Wang
Nanjing Medical University · CNNanjing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymorphisms in microRNA (miRNA) have been discussed to be associated with breast cancer risk; however, the conclusions were always inconsistent in different ethnicities. This case-control study enrolled 450 breast cancer cases, and 450 health controls was carried out to investigate the association between six polymorphisms in miRNAs and breast cancer risk. Sequenom MassARRAY was used to detect the polymorphisms in miRNAs, and the immunohistochemistry assay was applied to detect the expression of estrogen receptor (ER) and progesterone receptor (PR) in cancer tissue. The data showed that the 3746444 GG was associated with increased breast cancer risk (adjusted odds ratio (OR) = 1.71, 95 % confidence interval (CI) = 1.16-2.52) and that rs2292832 CC (adjusted OR = 0.54, 95 % CI = 0.34-0.85) was associated with decreased breast cancer risk. In addition, menopausal status subgroup analysis revealed that rs3746444 GG (adjusted OR = 2.34, 95 % CI = 1.31-4.15) and GA/GG (adjusted OR = 1.60, 95 % CI = 1.08-2.37) genotypes were associated with increased breast cancer risk for the subgroup of women with premenopausal status, respectively. Moreover, rs2910164 GG (adjusted OR = 1.84, 95 % CI = 1.07-3.15) and CG/GG (adjusted OR = 1.47, 95 % CI = 1.01-2.15) genotypes were associated with increased breast cancer risk in the postmenopausal status subcohort, respectively. Furthermore, rs3746444 AG (adjusted OR = 1.61, 95 % CI = 1.06-2.45) and AG/GG (adjusted OR = 1.49, 95 % CI = 1.02-2.18) genotypes were observed to be associated with increased risk of lymph node involvement and breast cancer with negative PR expression, separately. In short, rs3746444 was associated with breast cancer risk, especially for women with premenopausal status, and rs2910164 CG and CG/GG genotypes were associated with breast cancer risk for the women with premenopausal status.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAdultBreast NeoplasmsFemaleGenotypeHumansMicroRNAsMiddle AgedPremenopauseReceptors, EstrogenReceptors, ProgesteroneRisk FactorsMicroRNAsReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID25613069
OpenAlexW2163057345

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.