Evidence map›Paper›PMID 27028212›Full record

ArticleCancer cell international2016

Analysing the mutational status of adenomatous polyposis coli (APC) gene in breast cancer.

Ya-Sian Chang, Chien-Yu Lin, Shu-Fen Yang, Cheng-Mao Ho, Jan-Gowth Chang

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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  8. Genetic Variations of Ultraconserved Elements in the Human Genome.Omics : a journal of integrative biology · 2019
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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

5 authors at 2 institutions in 1 country.

Ya-Sian ChangEpigenome Research Center, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404 Taiwan ; Department of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan.
Chien-Yu LinDepartment of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan.
Shu-Fen YangDepartment of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan.
Cheng-Mao HoDepartment of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan.
Jan-Gowth ChangEpigenome Research Center, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404 Taiwan ; Department of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan ; School of Medicine, China Medical University, Taichung, Taiwan.
China Medical University Hospital · TWChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is a heterogeneous disorder for which the underlying genetic basis remains unclear. We developed a method for identifying adenomatous polyposis coli (APC) mutations and we evaluated the possible association between APC genetic variants and breast cancer susceptibility.

methodsGenomic DNA was extracted from tumor and matched peripheral blood samples collected from 89 breast cancer patients and from peripheral blood samples collected from 50 controls. All samples were tested for mutations in exons 1-14 and the mutation cluster region of exon 15 by HRM analysis. All mutations were confirmed by direct DNA sequencing.

resultsWe identified a new single nucleotide polymorphism (SNP), c.465A>G (K155K), in exon 4 and seven known SNPs: c.573T>C (Y191Y) in exon 5, c.1005A>G (L335L) in exon 9, c.1458T>C (Y486Y) and c.1488A>T (T496T) in exon 11, c.1635G>A (A545A) in exon 13, and c.4479G>A (T1493T) and c.5465T>A (V1822D) in exon 15. The following alterations were found in 2, 1, 2, and 1 patients, respectively: c.465A>G, c.573T>C, c.1005A>G, and c.1488A>T. There was no observed association between breast cancer risk and any of these APC SNPs.

conclusionsAPC mutations occur at a low frequency in Taiwanese breast cancer cases. HRM analysis is a powerful method for the detection of APC mutations in breast.

Indexed as

APCBreast cancerDirect DNA sequencingHRM

Identifiers

PMID27028212
PMCPMC4810512
OpenAlexW2303232007

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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.