Evidence map›Paper›PMID 20211686›Full record

ReviewMolecular and cellular endocrinology2010

Isolation and characterization of novel pituitary tumor related genes: a cDNA representational difference approach.

Xun Zhang, Yunli Zhou, Anne Klibanski

Abstract readReview
In one paragraph

Review in Molecular and cellular endocrinology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Molecular function and regulation of long non-coding RNAs: paradigms with potential roles in cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Review
  11. Article
  12. The molecular pathogenesis of pituitary adenomas: an update.Endocrinology and metabolism (Seoul, Korea) · 2013
    Review
  13. Review
  14. Article
  15. 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 1 country.

Xun ZhangNeuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Yunli Zhou
Anne Klibanski
Massachusetts General Hospital · USHarvard University · US

Funding

HORMONE REGULATION AND PATHOGENESIS OF PITUITARY TUMORSR01DK040947 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI KLIBANSKI, ANNE · 1989 to 2010
$2.7M
NIDDK NIH HHS R01 DK040947NIDDK NIH HHS R01DK40947
6 · The paper itself

Abstract

Recently, progress has been made in understanding human pituitary tumor pathogenesis by the investigation of differences in gene expression between normal pituitary tissue and pituitary tumors. A number of approaches, including differential display (DD), representational difference analysis (RDA), and microarray analysis have been used and several molecular targets potentially associated with pituitary tumor development and invasion have been identified. We have used RDA to compare gene expression patterns between normal human pituitary and clinically non-functioning pituitary adenomas, and identified genes with growth suppression function which are expressed in the normal pituitary but not in pituitary tumors. In particular, we have focused on an imprinted gene, Maternally Expressed Gene 3 (MEG3), which is specifically associated with clinically non-functioning pituitary adenomas of a gonadotroph lineage. MEG3 functions to suppress tumor cell growth, increase protein expression of the tumor suppressor p53, and selectively activate p53 target genes. Interestingly, MEG3 does not encode a protein but a non-coding RNA. Therefore, these studies have revealed novel mechanisms for the function of a non-coding RNA in pituitary physiology and tumorigenesis.

Indexed as

Gene Expression Regulation, NeoplasticDNA, ComplementaryGene Expression ProfilingHumansMolecular Sequence DataPituitary GlandPituitary NeoplasmsPromoter Regions, GeneticRNA, UntranslatedTumor Suppressor Protein p53DNA, ComplementaryRNA, UntranslatedTumor Suppressor Protein p53

Identifiers

PMID20211686
PMCPMC2904873
OpenAlexW2127376251

What OpenQuestion holds

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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.