Evidence map›Paper›PMID 26918343›Full record

ArticleOncotarget2016

Detection of aberrant methylation of a six-gene panel in serum DNA for diagnosis of breast cancer.

Ming Shan, Huizi Yin, Junnan Li, Xiaobo Li, Dong Wang, Yonghui Su, Ming Niu, Zhenbin Zhong, Ji Wang, Xianyu Zhang and 2 more

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

68 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  17. The Association of Methylation Status and Expression Level ofInternational journal of hematology-oncology and stem cell research · 2023
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8 more citing papers are in PubMed but not listed here.

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

12 authors.

Ming ShanDepartment of Breast Cancer Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, P.R. China.
Huizi YinDepartment of Breast Cancer Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, P.R. China.
Junnan LiDepartment of Epidemiology and Biostatistics, Harbin Medical University, Harbin, P.R. China.
Xiaobo LiDepartment of Pathology, Harbin Medical University, Harbin, P.R. China.
Dong WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, P.R. China.
Yonghui SuDepartment of Breast Cancer Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, P.R. China.
Ming NiuDepartment of Breast Cancer Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, P.R. China.
Zhenbin ZhongDepartment of Breast Cancer Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, P.R. China.
Ji WangDepartment of Breast Cancer Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, P.R. China.
Xianyu ZhangDepartment of Breast Cancer Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, P.R. China.
Wenli KangDepartment of Oncology, General Hospital of Heilongjiang Province Land Reclamation Headquarters, Harbin, P.R. China.
Da PangDepartment of Breast Cancer Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of breast cancer at an early stage is the key for successful treatment and improvement of outcome. However the limitations of mammography are well recognized, especially for those women with premenopausal breast cancer. Novel approaches to breast cancer screening are necessary, especially in the developing world where mammography is not feasible. In this study, we examined the promoter methylation of six genes (SFN, P16, hMLH1, HOXD13, PCDHGB7 and RASSF1a) in circulating free DNA (cfDNA) extracted from serum. We used a high-throughput DNA methylation assay (MethyLight) to examine serum from 749 cases including breast cancer patients, patients with benign breast diseases and healthy women. The six-gene methylation panel test achieved 79.6% and 82.4% sensitivity with a specificity of 72.4% and 78.1% in diagnosis of breast cancer when compared with healthy and benign disease controls, respectively. Moreover, the methylation panel positive group showed significant differences in the following independent variables: (a) involvement of family history of tumors; (b) a low proliferative index, ki-67; (c) high ratios in luminal subtypes. Additionally the panel also complemented some breast cancer cases which were neglected by mammography or ultrasound. These data suggest that epigenetic markers in serum have potential for diagnosis of breast cancer.

Indexed as

DNA MethylationAdultBiomarkers, TumorBreast NeoplasmsCase-Control StudiesDNA, NeoplasmEarly Detection of CancerFemaleHumansMiddle AgedPromoter Regions, GeneticBiomarkers, TumorDNA, Neoplasmbreast cancerdiagnosisDNA methylationMethyLight

Identifiers

PMID26918343
PMCPMC4951303

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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.