Evidence map›Paper›PMID 18489756›Full record

ArticleBMC medical genomics2008

Pro-neural transcription factors as cancer markers.

Maria Vias, Charlie E Massie, Philip East, Helen Scott, Anne Warren, Zongxiang Zhou, Alexander Yu Nikitin, David E Neal, Ian G Mills

Abstract read
In one paragraph

Article in BMC medical genomics, 2008. 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

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

23 citing papers in PubMed.

  1. Article
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  7. Review
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  9. Review
  10. Article
  11. Article
  12. Advanced neuroendocrine prostate tumors regress to stemness.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  13. Article
  14. A nine-gene signature predicting clinical outcome in cutaneous melanoma.Journal of cancer research and clinical oncology · 2013
    Article
  15. Human achaete-scute homolog-1 expression in neuroendocrine breast carcinoma.Virchows Archiv : an international journal of pathology · 2012
    Article
  16. Article
  17. Article
  18. Article
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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

9 authors.

Maria ViasUro-Oncology Research Group, Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK. maria.vias@cancer.org.uk
Charlie E Massie
Philip East
Helen Scott
Anne Warren
Zongxiang Zhou
Alexander Yu Nikitin
David E Neal
Ian G Mills

Funding

Modeling metastasis by controlled inactivation of RbR01CA096823 · NCI · CORNELL UNIVERSITY ITHACA · PI NIKITIN, ALEXANDER Y. · 2002 to 2012
$2.7M
ADVANCING MENTORING AND RESEARCH IN MOUSE PATHOBIOLOGYK26RR017595 · NCRR · CORNELL UNIVERSITY ITHACA · PI NIKITIN, ALEXANDER Y · 2002 to 2006
$476k
Determinants of Metastatic ProgressionR56CA096823 · NCI · CORNELL UNIVERSITY · PI NIKITIN, ALEXANDER Y · 2007 to 2007
$287k
Medical Research Council G0500966NCI NIH HHS R01 CA096823NCI NIH HHS R56 CA096823NCRR NIH HHS K26 RR017595
6 · The paper itself

Abstract

backgroundThe aberrant transcription in cancer of genes normally associated with embryonic tissue differentiation at various organ sites may be a hallmark of tumour progression. For example, neuroendocrine differentiation is found more commonly in cancers destined to progress, including prostate and lung. We sought to identify proteins which are involved in neuroendocrine differentiation and differentially expressed in aggressive/metastatic tumours.

resultsExpression arrays were used to identify up-regulated transcripts in a neuroendocrine (NE) transgenic mouse model of prostate cancer. Amongst these were several genes normally expressed in neural tissues, including the pro-neural transcription factors Ascl1 and Hes6. Using quantitative RT-PCR and immuno-histochemistry we showed that these same genes were highly expressed in castrate resistant, metastatic LNCaP cell-lines. Finally we performed a meta-analysis on expression array datasets from human clinical material. The expression of these pro-neural transcripts effectively segregates metastatic from localised prostate cancer and benign tissue as well as sub-clustering a variety of other human cancers.

conclusionBy focussing on transcription factors known to drive normal tissue development and comparing expression signatures for normal and malignant mouse tissues we have identified two transcription factors, Ascl1 and Hes6, which appear effective markers for an aggressive phenotype in all prostate models and tissues examined. We suggest that the aberrant initiation of differentiation programs may confer a selective advantage on cells in all contexts and this approach to identify biomarkers therefore has the potential to uncover proteins equally applicable to pre-clinical and clinical cancer biology.

Identifiers

PMID18489756
PMCPMC2413260

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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.