Evidence map›Paper›PMID 19118016›Full record

ArticleCancer research2009

The origins of breast cancer prognostic gene expression profiles.

Luanne Lukes, Nigel P S Crawford, Renard Walker, Kent W Hunter

Abstract read
In one paragraph

Article in Cancer research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. How to Choose a Mouse Model of Breast Cancer, a Genomic Perspective.Journal of mammary gland biology and neoplasia · 2019
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. The role of individual inheritance in tumor progression and metastasis.Journal of molecular medicine (Berlin, Germany) · 2015
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Integrated cross-species transcriptional network analysis of metastatic susceptibility.Proceedings of the National Academy of Sciences of the United States of America · 2012
    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

4 authors.

Luanne LukesLaboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute/NIH, 37 Convent Drive, Bethesda, MD 20892-4264, USA.
Nigel P S Crawford
Renard Walker
Kent W Hunter

Funding

Genetic Modifiers of Intitiation and Progression of Mammary CancerZIABC011255 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HUNTER, KENT WILLIAM · 2010 to 2025
$33.2M
Germline modifiers of tumor progression and metastasis in prostate cancerZIAHG200366 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI CRAWFORD, NIGEL · 2010 to 2016
$5.0M
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
Intramural NIH HHS Z01 CP010146Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Recent high profile clinical trials show that microarray-based gene expression profiling has the potential to become an important tool for predicting prognosis in breast cancer. Earlier work in our laboratory using mouse models and human breast cancer populations has enabled us to show that metastasis susceptibility is an inherited trait. This same combined approach facilitated the identification of a number of candidate genes that, when dysregulated, have the potential to induce prognostic gene expression profiles in human data sets. To investigate if these gene expression signatures were of somatic or germline origin and to assess the contribution of different cell types to the induction of these signatures, we have performed a series of expression profiling experiments in a mouse model of metastatic breast cancer. These results show that both the tumor epithelium and invading stromal tissues contribute to the development of prognostic gene signatures. Furthermore, analysis of normal tissues and tumor transplants suggests that prognostic signatures result from both somatic and inherited components, with the inherited components being more consistently predictive.

Indexed as

AnimalsBreast NeoplasmsFemaleGene Expression ProfilingHumansMaleMammary Neoplasms, ExperimentalMiceMice, Inbred AKRMice, Inbred DBAMice, TransgenicNeoplasm MetastasisOligonucleotide Array Sequence AnalysisPredictive Value of TestsStromal Cells

Identifiers

PMID19118016
PMCPMC2613551

What OpenQuestion holds

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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.