Evidence map›Paper›PMID 29417929›Full record

ArticleeLife2018

Challenges in validating candidate therapeutic targets in cancer.

Jeffrey Settleman, Charles L Sawyers, Tony Hunter

Open access · goldAbstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Spatiotemporal regulation of MELK during mitosis.Frontiers in cell and developmental biology · 2024
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. A Winning New Combination? Toward Clinical Application in Oncology.Cancer control : journal of the Moffitt Cancer Center
    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 2 institutions in 1 country.

Jeffrey SettlemanCalico Life Sciences, South San Francisco, United States.ORCID 0000-0003-3569-6493
Charles L SawyersMemorial Sloan Kettering Cancer Center, New York, United States.ORCID 0000-0003-4955-6475
Tony HunterSalk Institute for Biological Studies, La Jolla, United States.ORCID 0000-0002-7691-6993
Memorial Sloan Kettering Cancer Center · USSalk Institute for Biological Studies · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI JAMES A EASTHAM · 2001 to 2026
$63.0M
The MSKCC-UW/Fred Hutch Prostate Cancer Drug Resistance and Sensitivity CenterU54CA224079 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SAWYERS, CHARLES L. · 2017 to 2021
$6.8M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA092629NCI NIH HHS U54 CA224079
6 · The paper itself

Abstract

More than 30 published articles have suggested that a protein kinase called MELK is an attractive therapeutic target in human cancer, but three recent reports describe compelling evidence that it is not. These reports highlight the caveats associated with some of the research tools that are commonly used to validate candidate therapeutic targets in cancer research.

Indexed as

Antineoplastic AgentsDrug DiscoveryHumansNeoplasmsProtein Serine-Threonine KinasesAntineoplastic AgentsMELK protein, humanProtein Serine-Threonine Kinasescancer biologymelkprotein kinasereplicationreproducibilityscientific publishing

Identifiers

PMID29417929
PMCPMC5805407
OpenAlexW2786093695

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.