Evidence map›Paper›PMID 18231105›Full record

ReviewBritish journal of cancer2008

Targeting telomerase for cancer therapeutics.

J W Shay, W N Keith

Open access · hybridAbstract readReview
In one paragraph

Review in British journal of cancer, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
11.2field-weighted citation impact, top 1% 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

64 citing papers in PubMed, 1 synthesis or guideline pooled it, 170 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. TERT-Regulation and Roles in Cancer Formation.Frontiers in immunology · 2020
    Review
  13. Arsenic trioxide as a novel anti-glioma drug: a review.Cellular & molecular biology letters · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. New perspectives on telomerase RNA structure and function.Wiley interdisciplinary reviews. RNA · 2018
    Review
  18. Article
  19. The Emerging Roles for Telomerase in the Central Nervous System.Frontiers in molecular neuroscience · 2018
    Review
  20. Review

4 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 2 countries.

J W ShayDepartment of Cell Biology, University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Boulevard, Dallas, TX 75390-9030, USA. Jerry.Shay@UTSouthwestern.edu
W N Keith
Cancer Research UK · GBSouthwestern Medical Center · US

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
HERITABLE FACTORS GOVERNING MELANOMA SUSCEPTIBILITYR03CA075907 · NCI · WISTAR INSTITUTE · PI LINNENBACH, ALBAN J · 1997 to 1997
–
Cancer Research UKNCI NIH HHS P50 CA070907NCI NIH HHS P50 CA75907
6 · The paper itself

Abstract

One of the hallmarks of advanced malignancies is continuous cell growth and this almost universally correlates with the reactivation of telomerase. Although there is still much we do not understand about the regulation of telomerase, it remains a very attractive and novel target for cancer therapeutics. Several clinical trials have been initiated, and in this review we highlight some of the most promising approaches and conclude by speculating on the role of telomerase in cancer stem cells.

Indexed as

AnimalsAntineoplastic AgentsHumansNeoplasmsTelomeraseAntineoplastic AgentsTelomerase

Identifiers

PMID18231105
PMCPMC2259186
OpenAlexW2163579602

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.