Evidence map›Paper›PMID 14970848›Full record

ReviewBritish journal of cancer2004

Host genetics and tumour metastasis.

K W Hunter

Abstract readReview
In one paragraph

Review in British journal of cancer, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. In-silico QTL mapping of postpubertal mammary ductal development in the mouse uncovers potential human breast cancer risk loci.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    Article
  12. TGF-β1-509C/T polymorphism and the risk of ESCC in a Chinese Han population.International journal of clinical and experimental medicine · 2015
    Article
  13. Article
  14. Article
  15. The single nucleotide polymorphism g.1548A >G (K469E) of the ICAM-1 gene is associated with worse prognosis in non-small cell lung cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2012
    Article
  16. Article
  17. Article
  18. Article
  19. The role of the microenvironment in mammary gland development and cancer.Cold Spring Harbor perspectives in biology · 2010
    Review
  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

1 author.

K W HunterLaboratory of Population Genetics, National Cancer Institute, National Institutes of Health, Building 41, Room D702, 41 Library Drive, Bethesda, MD 20892-5060, USA. hunterk@mail.nih.gov

Funding

GENETIC MODIFIERS OF MAMMARY CANCER INITIATION/ PROGRESSZ01CP010146 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI HUNTER, KENT WILLIAM · 2000 to 2008
$3.3M
Genetic Modifiers of Intitiation and Progression of Mammary CancerZIACP010146 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI HUNTER, KENT WILLIAM · 2009 to 2009
$1.7M
6 · The paper itself

Abstract

Metastasis, the spread and growth of tumours at secondary sites, is an extremely important clinical event, since a majority of cancer mortality is associated with the metastatic tumours, rather than the primary tumour. In spite of the importance of metastasis in the clinical setting, the actual process is extremely inefficient. Millions of tumour cells can be shed into the vasculature daily; yet, few secondary tumours are formed. The classical hypothesis explaining the inefficiency was a series of secondary events occurring in the tumour, resulting in a small subpopulation of cells capable of completing all of the steps required to successfully colonise a distant site. However, recent discoveries demonstrating the ability to predict metastatic propensity from gene expression profiles in bulk tumour tissue are not consistent with only a small subpopulation of cells in the primary tumour acquiring metastatic ability, suggesting that metastatic ability might be pre-programmed in tumours by the initiating oncogenic mutations. Data supporting both of these seemingly incompatible theories exist. Therefore, to reconcile the observed results, additional variables need to be added to the model of metastatic inefficiency. One possible variable that might explain the discrepancies is genetic background effects. Studies have demonstrated that the genetic background on which a tumour arises on can have significant affects on the ability of the tumour to metastasise and on gene expression profiles. Thus, the observations could be reconciled by combining the theories, with genetic background influencing both metastatic efficiency and predictive gene expression profiles, upon which, subsequently, metastasis-promoting mutational and epigenetic events occur. If the genetic background is an important determinant of metastatic efficiency, it would have significant implications for the clinical prediction and treatment of metastatic disease, as well as for the design of potential prevention strategies.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseNeoplastic Cells, CirculatingAnimalsDisease Models, AnimalGenotypeHumansMiceNeoplasm MetastasisOligonucleotide Array Sequence AnalysisPrognosis

Identifiers

PMID14970848
PMCPMC2410172

What OpenQuestion holds

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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.