Evidence map›Paper›PMID 28900139›Full record

ArticleScientific reports2017

Gene expression profiling of calcifications in breast cancer.

Sung Ui Shin, Jeonghoon Lee, Ju Han Kim, Won Hwa Kim, Sung Eun Song, Ajung Chu, Hoe Suk Kim, Wonshik Han, Han Suk Ryu, Woo Kyung Moon

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  10. Epidermal growth factor receptor inhibition prevents vascular calcifying extracellular vesicle biogenesis.American journal of physiology. Heart and circulatory physiology · 2023
    Article
  11. Article
  12. Article
  13. Immunotherapy for Breast Cancer Treatment.Iranian biomedical journal · 2021
    Article
  14. Review
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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

10 authors at 2 institutions in 1 country.

Sung Ui ShinDepartment of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea.
Jeonghoon LeeDivision of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.
Ju Han KimDivision of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.
Won Hwa KimDepartment of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea.
Sung Eun SongDepartment of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea.
Ajung ChuDepartment of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea.
Hoe Suk KimDepartment of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea.
Wonshik HanDepartment of Surgery, Seoul National University Hospital, Seoul, Korea.
Han Suk RyuDepartment of Pathology, Seoul National University Hospital, Seoul, Korea.
Woo Kyung MoonDepartment of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea. moonwk@snu.ac.kr.
Seoul National University Hospital · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the gene expression profiles of calcifications in breast cancer. Gene expression analysis of surgical specimen was performed using Affymetrix GeneChip® Human Gene 2.0 ST arrays in 168 breast cancer patients. The mammographic calcifications were reviewed by three radiologists and classified into three groups according to malignancy probability: breast cancers without suspicious calcifications; breast cancers with low-to-intermediate suspicious calcifications; and breast cancers with highly suspicious calcifications. To identify differentially expressed genes (DEGs) between these three groups, a one-way analysis of variance was performed with post hoc comparisons with Tukey's honest significant difference test. To explore the biological significance of DEGs, we used DAVID for gene ontology analysis and BioLattice for clustering analysis. A total of 2551 genes showed differential expression among the three groups. ERBB2 genes are up-regulated in breast cancers with highly suspicious calcifications (fold change 2.474, p < 0.001). Gene ontology analysis revealed that the immune, defense and inflammatory responses were decreased in breast cancers with highly suspicious calcifications compared to breast cancers without suspicious calcifications (p from 10

Indexed as

Gene Expression ProfilingTranscriptomeAdultAgedBreast NeoplasmsCalcinosisComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansImage Processing, Computer-AssistedLymphocytes, Tumor-InfiltratingMammographyMiddle AgedNeoplasm MetastasisNeoplasm Staging

Identifiers

PMID28900139
PMCPMC5595962
OpenAlexW2750896603

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.