Evidence map›Paper›PMID 11305951›Full record

ReviewBreast cancer research : BCR2001

Applications of microarray technology in breast cancer research.

C S Cooper

Abstract readComparative StudyReview
In one paragraph

Review in Breast cancer research : BCR, 2001. 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
–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

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.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Log-Linear Models for Gene Association.Journal of the American Statistical Association · 2009
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Identification of Down's syndrome critical locus gene SIM2-s as a drug therapy target for solid tumors.Proceedings of the National Academy of Sciences of the United States of America · 2003
    Article
  16. 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

1 author.

C S CooperThe Institute of Cancer Research, Sutton, Surrey, UK. csc@icr.ac.uk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microarrays provide a versatile platform for utilizing information from the Human Genome Project to benefit human health. This article reviews the ways in which microarray technology may be used in breast cancer research. Its diverse applications include monitoring chromosome gains and losses, tumour classification, drug discovery and development, DNA resequencing, mutation detection and investigating the mechanism of tumour development.

Indexed as

Breast NeoplasmsChromosome MappingDNA, NeoplasmGene ExpressionGene Expression ProfilingGenome, HumanHumansNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisTranscription, GeneticDNA, Neoplasm

Identifiers

PMID11305951
PMCPMC138681

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.