Evidence map›Paper›PMID 22515449›Full record

ReviewFuture oncology (London, England)2012

Inactivation of X-linked tumor suppressor genes in human cancer.

Runhua Liu, Mandy Kain, Lizhong Wang

Abstract readReview
In one paragraph

Review in Future oncology (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 20% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Xq24/HemaSphere · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Epigenetic mechanisms regulate sex-specific bias in disease manifestations.Journal of molecular medicine (Berlin, Germany) · 2022
    Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Abnormal X chromosome inactivation and tumor development.Cellular and molecular life sciences : CMLS · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 1 institution in 1 country.

Runhua LiuDivision of Immunotherapy, Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.
Mandy Kain
Lizhong Wang
University of Michigan–Ann Arbor · US

Funding

FOXP3-microRNA146-NFkB Axis in Tumor SuppressionR21CA164688 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WANG, LIZHONG · 2012 to 2013
$341k
NCI NIH HHS R21 CA164688
6 · The paper itself

Abstract

Cancer cells silence autosomal tumor suppressor genes by Knudson's two-hit mechanism in which loss-of-function mutations and then loss of heterozygosity occur at the tumor suppressor gene loci. However, the identification of X-linked tumor suppressor genes has challenged the traditional theory of 'two-hit inactivation' in tumor suppressor genes, introducing the novel concept that a single genetic hit can cause loss of tumor suppressor function. The mechanism through which these genes are silenced in human cancer is unclear, but elucidating the details will greatly enhance our understanding of the pathogenesis of human cancer. Here, we review the identification of X-linked tumor suppressor genes and discuss the potential mechanisms of their inactivation. In addition, we also discuss how the identification of X-linked tumor suppressor genes can potentially lead to new approaches in cancer therapy.

Indexed as

Gene SilencingGenes, Tumor SuppressorGenes, X-LinkedCell Transformation, NeoplasticHumansNeoplasms

Identifiers

PMID22515449
PMCPMC4369797
OpenAlexW2156350934

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.