Evidence map›Paper›PMID 18974104›Full record

ReviewCancer research2008

Just say no to ATOH: how HIC1 methylation might predispose medulloblastoma to lineage addiction.

Kimberly J Briggs, Charles G Eberhart, D Neil Watkins

Open access · bronzeAbstract readReview
In one paragraph

Review in Cancer research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Prognostic relevance of high atonal homolog-1 expression in Merkel cell carcinoma.Journal of cancer research and clinical oncology · 2017
    Article
  6. Article
  7. Article
  8. The genetics of hair cell development and regeneration.Annual review of neuroscience · 2013
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Cerebellum development and medulloblastoma.Current topics in developmental biology · 2011
    Review
  14. 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

3 authors at 2 institutions in 2 countries.

Kimberly J BriggsThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland, USA.
Charles G Eberhart
D Neil Watkins
Johns Hopkins University · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Notch signaling in brain tumorsR01NS055089 · NINDS · JOHNS HOPKINS UNIVERSITY · PI EBERHART, CHARLES G · 2007 to 2016
$3.2M
Roles for HIC1 in neural development and tumor suppressionR01NS054085 · NINDS · MONASH UNIVERSITY · PI WATKINS, DAVID NEIL · 2006 to 2010
$1.3M
NINDS NIH HHS R01 NS054085NINDS NIH HHS R01 NS055089
6 · The paper itself

Abstract

Hypermethylated in cancer-1 (HIC1) is a tumor suppressor frequently targeted for promoter hypermethylation in medulloblastoma, an embryonal tumor of the cerebellum. Recently, we showed that HIC1 is a direct transcriptional repressor of ATOH1, a proneural transcription factor required for normal cerebellar development, as well as for medulloblastoma cell viability. Because demethylating agents can induce reexpression of silenced tumor suppressors, restoring HIC1 function may present an attractive therapeutic avenue in medulloblastoma by exploiting an apparent addiction to ATOH1.

Indexed as

DNA MethylationBasic Helix-Loop-Helix ProteinsCell LineageChromosome DeletionChromosomes, Human, Pair 17Epigenesis, GeneticGene SilencingGenes, Tumor SuppressorHumansKruppel-Like Transcription FactorsMedulloblastomaATOH1 protein, humanBasic Helix-Loop-Helix ProteinsHIC1 protein, humanKruppel-Like Transcription Factors

Identifiers

PMID18974104
PMCPMC2702666
OpenAlexW2114650017

What OpenQuestion holds

Textmetadata
LicenceTDM
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.