Evidence map›Paper›PMID 7669583›Full record

ArticleBritish journal of cancer1995

Loss of heterozygosity at chromosome 11 in breast cancer: association of prognostic factors with genetic alterations.

J Gudmundsson, R B Barkardottir, G Eiriksdottir, T Baldursson, A Arason, V Egilsson, S Ingvarsson

Abstract read
In one paragraph

Article in British journal of cancer, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

23 citing papers in PubMed.

  1. Trial
  2. Hippo-TAZ signaling is the master regulator of the onset of triple-negative basal-like breast cancers.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  3. Article
  4. Review
  5. Polymorphisms in CARS are associated with gastric cancer risk: a two-stage case-control study in the Chinese population.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2017
    Article
  6. Article
  7. Article
  8. Article
  9. Pathology of hereditary breast cancer.Cellular oncology (Dordrecht, Netherlands) · 2011
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

J GudmundssonDepartment of Pathology, University and National Hospital of Iceland, Reykjavik.
R B Barkardottir
G Eiriksdottir
T Baldursson
A Arason
V Egilsson
S Ingvarsson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined DNA from 116 female and four male breast cancer patients for loss of heterozygosity (LOH). DNA was analysed by polymerase chain reaction using ten microsatellite markers on chromosome 11. Three distinct regions of LOH were identified: 11p15.5, 11q13 and 11q22-qter with a LOH frequency of 19, 23 and 37-43% respectively. The marker D11S969 showing the highest frequency of LOH (43%) is located at the 11q24.1-q25 region. No previous molecular genetic studies have shown frequent LOH at the region telomeric to q23 on chromosome 11. Southern analysis revealed that LOH at 11q13 was due to amplification, whereas LOH at 11q22qter was due to deletion. LOH at 11p15.5 was associated with paucity of hormone receptor proteins, high S-phase and positive node status. An association was found between LOH at 11q13 and positive node status. LOH at the 11q22-qter region correlated with a high S-phase fraction. A significant association was found between LOH at 11p15 and chromosome regions 17q21 (the BRCA1 region) and 3p.

Indexed as

Chromosome AberrationsChromosomes, Human, Pair 11Gene DeletionBlotting, SouthernBreast NeoplasmsBreast Neoplasms, MaleChromosome MappingDNA, SatelliteFemaleGenetic MarkersHeterozygoteHumansMalePolymerase Chain ReactionPolymorphism, GeneticPrognosisDNA, SatelliteGenetic Markers

Identifiers

PMID7669583
PMCPMC2033886

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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.