Evidence map›Paper›PMID 32305991›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

High SET Domain Bifurcated 1 (SETDB1) Expression Predicts Poor Prognosis in Breast Carcinoma.

Zhaoping Zhou, Baojin Wu, Xinjie Tang, Wenlin Yang, Qiang Zou, Hongying Wang

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The Role of Protein Methyltransferases in Immunity.Molecules (Basel, Switzerland) · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Characterization of the Relationship Between the Expression of Aspartate β-Hydroxylase and the Pathological Characteristics of Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  11. Expression of the Topoisomerase II Alpha (TOP2A) Gene in Lung Adenocarcinoma Cells and the Association with Patient Outcomes.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
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

6 authors at 3 institutions in 1 country.

Zhaoping ZhouDepartment of Plastic Surgery, Huashan Hospital, Fudan University, Shanghai, China (mainland).
Baojin WuDepartment of Plastic Surgery, Huashan Hospital, Fudan University, Shanghai, China (mainland).
Xinjie TangDepartment of Plastic Surgery, Huashan Hospital, Fudan University, Shanghai, China (mainland).
Wenlin YangDepartment of Pathology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China (mainland).
Qiang ZouDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China (mainland).
Hongying WangDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China (mainland).
Fudan University · CNAffiliated Hospital of Jining Medical University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND SETDB1, an H3K9-specific histone methyltransferase, plays important roles in the progression of various human cancers. However, the expression patterns and its clinical roles of SETDB1 remain elusive in breast cancer (BC). MATERIAL AND METHODS The transcriptional level of SETDB1 and survival data in BC were analyzed through UALCAN, ONCOMINE, and Pan Cancer Prognostics Database. SETDB1 protein expression was assessed by immunohistochemistry (IHC) in 159 BC tissue samples. The associations between SETDB1 expression and clinical pathological characteristics of patients were analyzed. The GEO dataset GSE108656 was downloaded and analyzed to identify the differentially expressed genes (DEGs) between control and BC cells targeting interference with SETDB. The DEGs were further integrated by bioinformatics analysis to decipher the key signaling pathways and hub genes that are regulated by SETDB. RESULTS The public databases showed the level of SETDB1 mRNA was significantly upregulated in BC. Our IHC results demonstrated the level of SETDB1 protein was associated with tumor size (P=0.028), histopathological grading (P=0.012), lymph node metastasis (P<0.001), and TNM stage (P<0.001). High expression of SETDB1 indicated worse overall survival (P=0.015) and shorter relapse-free survival (P=0.027). The bioinformatic analysis of GSE108656 suggested that the SETDB1-related DEGs was mainly enriched in antigen processing and presentation, as well as immune networks in BC. The cytoHubba analysis suggested the top 10 hub genes were IL6, BMP4, CD74, PECAM1, HLA-DPA1, HLA-DRA, LAMC1, CTSB, SERPINA1, and CTSD. CONCLUSIONS The results suggest that SETDB1 is an oncogene and can serve as a prognostic biomarker for BC. However, the mechanisms of SETDB1 in BC remain to be explored.

Indexed as

Biomarkers, TumorBreast NeoplasmsComputational BiologyDatabases, GeneticFemaleGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHistone-Lysine N-MethyltransferaseHistone MethyltransferasesHumansNeoplasm Recurrence, LocalOncogenesPrognosisBiomarkers, TumorHistone-Lysine N-MethyltransferaseHistone MethyltransferasesRNA, MessengerSETDB1 protein, human

Identifiers

PMID32305991
PMCPMC7191957
OpenAlexW3016411890

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.