Evidence map›Paper›PMID 23475875›Full record

ArticleCancer discovery2013

Aiming for the outliers: cancer precision medicine through targeting kinases with extreme expression.

Srinivasan Yegnasubramanian, Anirban Maitra

Open access · bronzeAbstract readComment
In one paragraph

Article in Cancer discovery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Srinivasan YegnasubramanianSidney Kimmel Comprehensive Cancer Center, The Sol Golman Pancreatic Cancer Research Center, Johns Hopkins University, Baltimore, Maryland 21231, USA. syegnasu@jhmi.edu
Anirban Maitra
Cancer Research Center · USJohns Hopkins University · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

With the increasing availability of highly potent, pharmacologically active, and selective protein kinase inhibitors, identification of individuals who would benefit from targeted kinase inhibitors could facilitate application of precision medicine strategies for cancer therapy. A recent study by Kothari and colleagues reports preclinical studies that highlight the potential of targeting kinases with extreme expression for cancer precision medicine, warranting further clinical investigation of an individual-specific outlier kinase targeting approach.

Indexed as

AnimalsHumansMaleNeoplasmsProtein Kinase InhibitorsProtein KinasesSequence Analysis, RNAProtein Kinase InhibitorsProtein Kinases

Identifiers

PMID23475875
PMCPMC4486056
OpenAlexW2130919496

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.