Evidence map›Paper›PMID 28782484›Full record

SynthesisCurrent molecular medicine2017

Gene Expression Meta-Analysis of Potential Metastatic Breast Cancer Markers.

R Bell, R Barraclough, O Vasieva

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Current molecular medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Organ-Specificity of Breast Cancer Metastasis.International journal of molecular sciences · 2023
    Review
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  5. Article
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  10. Review
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  17. Review
  18. Article
  19. Expression of H3K4me3 and H3K9ac in breast cancer.Journal of cancer research and clinical oncology · 2020
    Article
  20. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.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

3 authors at 1 institution in 1 country.

R BellInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB. United Kingdom.
R BarracloughInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB. United Kingdom.
O VasievaInstitute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7ZB. United Kingdom.
University of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer metastasis is a highly prevalent cause of death for European females. DNA microarray analysis has established that primary tumors, which remain localized, differ in gene expression from those that metastasize. Crossanalysis of these studies allow to revile the differences that may be used as predictive in the disease prognosis and therapy.

objectiveThe aim of the project was to validate suggested prognostic and therapeutic markers using meta-analysis of data on gene expression in metastatic and primary breast cancer tumors.

methodData on relative gene expression values from 12 studies on primary breast cancer and breast cancer metastasis were retrieved from Genevestigator (Nebion) database. The results of the data meta-analysis were compared with results of literature mining for suggested metastatic breast cancer markers and vectors and consistency of their reported differential expression.

resultsOur analysis suggested that transcriptional expression of the COX2 gene is significantly downregulated in metastatic tissue compared to normal breast tissue, but is not downregulated in primary tumors compared with normal breast tissue and may be used as a differential marker in metastatic breast cancer diagnostics. RRM2 gene expression decreases in metastases when compared to primary breast cancer and could be suggested as a marker to trace breast cancer evolution. Our study also supports MMP1, VCAM1, FZD3, VEGFC, FOXM1 and MUC1 as breast cancer onset markers, as these genes demonstrate significant differential expression in breast neoplasms compared with normal breast tissue.

conclusionCOX2 and RRM2 are suggested to be prominent markers for breast cancer metastasis. The crosstalk between upstream regulators of genes differentially expressed in primary breast tumors and metastasis also suggests pathways involving p53, ER1, ERB-B2, TNF and WNT, as the most promising regulators that may be considered for new complex drug therapeutic interventions in breast cancer metastatic progression.

Indexed as

Biomarkers, TumorBreast NeoplasmsCyclooxygenase 2FemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasm MetastasisPrognosisRibonucleoside Diphosphate ReductaseBiomarkers, TumorCyclooxygenase 2PTGS2 protein, humanRibonucleoside Diphosphate Reductaseribonucleotide reductase M2Breast cancerdifferential expressiongenemarkersmeta-analysismetastasis

Identifiers

PMID28782484
PMCPMC5748874
OpenAlexW2744950738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.