Evidence map›Paper›PMID 32317088›Full record

ArticleBMB reports2020

Analysis of opposing histone modifications H3K4me3 and H3K27me3 reveals candidate diagnostic biomarkers for TNBC and gene set prediction combination.

Hyoung-Min Park, HuiSu Kim, Kang-Hoon Lee, Je-Yoel Cho

Abstract readNews
In one paragraph

Article in BMB reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

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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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Hyoung-Min ParkDepartment of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul 08826, Korea.
HuiSu KimDepartment of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul 08826, Korea.
Kang-Hoon LeeDepartment of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul 08826, Korea.
Je-Yoel ChoDepartment of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul 08826, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer encompasses a major portion of human cancers and must be carefully monitored for appropriate diagnoses and treatments. Among the many types of breast cancers, triple negative breast cancer (TNBC) has the worst prognosis and the least cases reported. To gain a better understanding and a more decisive precursor for TNBC, two major histone modifications, an activating modification H3K4me3 and a repressive modification H3K27me3, were analyzed using data from normal breast cell lines against TNBC cell lines. The combination of these two histone markers on the gene promoter regions showed a great correlation with gene expression. A list of signature genes was defined as active (highly enriched H3K4me3), including NOVA1, NAT8L, and MMP16, and repressive genes (highly enriched H3K27me3), IRX2 and ADRB2, according to the distribution of these histone modifications on the promoter regions. To further enhance the investigation, potential candidates were also compared with other types of breast cancer to identify signs specific to TNBC. RNA-seq data was implemented to confirm and verify gene regulation governed by the histone modifications. Combinations of the biomarkers based on H3K4me3 and H3K27me3 showed the diagnostic value AUC 93.28% with P-value of 1.16e-226. The results of this study suggest that histone modification analysis of opposing histone modifications may be valuable toward developing biomarkers and targets for TNBC. [BMB Reports 2020; 53(5): 266-271].

Indexed as

Biomarkers, TumorCells, CulturedFemaleHistonesHumansMethylationROC CurveTriple Negative Breast NeoplasmsBiomarkers, TumorHistones

Identifiers

PMID32317088
PMCPMC7262508

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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.