Evidence map›Paper›PMID 12730682›Full record

ArticleOncogene2003

cDNA microarray analysis of genes associated with ERBB2 (HER2/neu) overexpression in human mammary luminal epithelial cells.

Alan Mackay, Chris Jones, Tim Dexter, Ricardo L A Silva, Karen Bulmer, Allison Jones, Peter Simpson, Robert A Harris, Parmjit S Jat, A Munro Neville and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 162 citations in OpenAlex.

  1. Biomarkers of tumor invasiveness in proteomics (Review).International journal of oncology · 2020
    Pooled it
  2. Article
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  4. Article
  5. EMP3: A promising biomarker for tumor prognosis and targeted cancer therapy.Cancer biomarkers : section A of Disease markers · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. High expression ofOncology letters · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1 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

13 authors at 4 institutions in 2 countries.

Alan MackayLICR/UCL Breast Cancer Laboratory, University College London, London, UK. alan.mackay@ucl.ac.uk
Chris Jones
Tim Dexter
Ricardo L A Silva
Karen Bulmer
Allison Jones
Peter Simpson
Robert A Harris
Parmjit S Jat
A Munro Neville
Luiz F L Reis
Sunil R Lakhani
Michael J O'Hare
University College London · GBBreast Cancer Now · GBInstitute of Cancer Research · GBLudwig Cancer Research · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate changes in gene expression associated with ERBB2, expression profiling of immortalized human mammary luminal epithelial cells and variants expressing a moderate and high level of ERBB2 has been carried out using cDNA microarrays corresponding to approximately 6000 unique genes/ESTs. A total of 61 significantly up- or downregulated (2.0-fold) genes were identified and further validated by RT-PCR analysis as well as microarray comparisons with a spontaneously ERBB2- overexpressing breast cancer cell line and ERBB2-positive primary breast tumors. The expression and clinical relevance of proteins predicted to be associated with ERBB2 overexpression in breast cancers were analysed together with their clinical relevance by antibody screening using a tissue array. Differentially regulated genes include those involved in cell-matrix interactions including proline 4-hydroxylase (P4HA2), galectin 1 (LGALS1) and galectin 3 (LGALS3), fibronectin 1 (FN1) and p-cadherin (CDH3), and cell proliferation (CRIP1, IGFBP3) and transformation (S100P, S100A4). A number of genes associated with MYC signalling were also differentially expressed, including NDRG1, USF2 and the epithelial membrane proteins 1 and 3 (EMP1, EMP3). These data represent profiles of the transcriptional changes associated with ERBB2-related pathways in the breast, and identify novel and potentially useful targets for prognosis and therapy.

Indexed as

Oligonucleotide Array Sequence AnalysisBreastBreast NeoplasmsCarcinomaEpitheliumErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingHumansIn Vitro TechniquesReverse Transcriptase Polymerase Chain ReactionTumor Cells, CulturedErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID12730682
OpenAlexW2090001706

What OpenQuestion holds

Textmetadata
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.