Evidence map›Paper›PMID 33205077›Full record

ArticleCell reports. Medicine2020

The Clinical Kinase Index: A Method to Prioritize Understudied Kinases as Drug Targets for the Treatment of Cancer.

Derek Essegian, Rimpi Khurana, Vasileios Stathias, Stephan C Schürer

Open access · goldAbstract read
In one paragraph

Article in Cell reports. Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.2field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
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  6. CaNeuromolecular medicine · 2025
    Article
  7. Tumour-agnostic kinase inhibitors.Nature reviews. Drug discovery · 2025
    Review
  8. Article
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  10. Article
  11. Review
  12. Article
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  14. Review
  15. Kinome-Wide Virtual Screening by Multi-Task Deep Learning.International journal of molecular sciences · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Derek EssegianDepartment of Pharmacology, Miller School of Medicine, University of Miami, Miami, USA.
Rimpi KhuranaDepartment of Pharmacology, Miller School of Medicine, University of Miami, Miami, USA.
Vasileios StathiasDepartment of Pharmacology, Miller School of Medicine, University of Miami, Miami, USA.
Stephan C SchürerDepartment of Pharmacology, Miller School of Medicine, University of Miami, Miami, USA.
Sylvester Comprehensive Cancer Center · USUniversity of Miami · US

Funding

Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI George S. Grills · 2019 to 2026
$24.1M
Data Coordination and Integration Center for LINCS-BD2KU54HL127624 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI, SCHURER, STEPHAN C · 2014 to 2019
$23.5M
Resource Dissemination and Outreach Center for Illuminating the Druggable GenomeU24TR002278 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SCHURER, STEPHAN C, SKLAR, LARRY A. · 2018 to 2023
$3.7M
Unifying Templates, Ontologies and Tools to Achieve Effective Annotation of Bioassay ProtocolsU01LM012630 · NLM · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BUNIN, BARRY A, MUSEN, MARK A · 2017 to 2020
$2.1M
NCATS NIH HHS U24 TR002278NCI NIH HHS P30 CA240139NHLBI NIH HHS U54 HL127624NLM NIH HHS U01 LM012630
6 · The paper itself

Abstract

The approval of the first kinase inhibitor, Gleevec, ushered in a paradigm shift for oncological treatment-the use of genomic data for targeted, efficacious therapies. Since then, over 48 additional small-molecule kinase inhibitors have been approved, solidifying the case for kinases as a highly druggable and attractive target class. Despite the role deregulated kinase activity plays in cancer, only 8% of the kinome has been effectively "drugged." Moreover, 24% of the 634 human kinases are understudied. We have developed a comprehensive scoring system that utilizes differential gene expression, pathological parameters, overall survival, and mutational hotspot analysis to rank and prioritize clinically relevant kinases across 17 solid tumor cancers from The Cancer Genome Atlas. We have developed the clinical kinase index (CKI) app (http://cki.ccs.miami.edu) to facilitate interactive analysis of all kinases in each cancer. Collectively, we report that understudied kinases have potential clinical value as biomarkers or drug targets that warrant further study.

Indexed as

Antineoplastic AgentsDrug DiscoveryGene DosageGene Expression Regulation, NeoplasticHumansMolecular Targeted TherapyMutationNeoplasm ProteinsNeoplasmsProtein BindingProtein Kinase InhibitorsProtein KinasesResearch DesignSignal TransductionSmall Molecule LibrariesSoftwareAntineoplastic AgentsNeoplasm ProteinsProtein Kinase InhibitorsProtein KinasesSmall Molecule Librariescancer drug targetclinical scoring systemdata integrationdifferential gene expressiondruggable genomehuman kinomeKaplan-Meier survival analysistarget validationTNM scoreunderstudied kinase

Identifiers

PMID33205077
PMCPMC7659504
OpenAlexW3093660856

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.