Evidence map›Paper›PMID 32755597›Full record

ArticleCell systems2020

Pharmacoproteomics Identifies Kinase Pathways that Drive the Epithelial-Mesenchymal Transition and Drug Resistance in Hepatocellular Carcinoma.

Martin Golkowski, Ho-Tak Lau, Marina Chan, Heidi Kenerson, Venkata Narayana Vidadala, Anna Shoemaker, Dustin J Maly, Raymond S Yeung, Taranjit S Gujral, Shao-En Ong

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
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  4. Proteomic approaches for interrogating kinase signaling networks.The Journal of investigative dermatology · 2026
    Article
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  7. bioRxiv : the preprint server for biology · 2025
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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

10 authors at 2 institutions in 1 country.

Martin GolkowskiDepartment of Pharmacology, University of Washington, Seattle, WA 98195, USA.
Ho-Tak LauDepartment of Pharmacology, University of Washington, Seattle, WA 98195, USA.
Marina ChanHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Heidi KenersonDepartment of Surgery, University of Washington, Seattle, WA 98195, USA.
Venkata Narayana VidadalaDepartment of Chemistry, University of Washington, Seattle, WA 98195, USA.
Anna ShoemakerDepartment of Pharmacology, University of Washington, Seattle, WA 98195, USA.
Dustin J MalyDepartment of Chemistry, University of Washington, Seattle, WA 98195, USA.
Raymond S YeungDepartment of Surgery, University of Washington, Seattle, WA 98195, USA.
Taranjit S GujralHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. Electronic address: tgujral@fredhutch.org.
Shao-En OngDepartment of Pharmacology, University of Washington, Seattle, WA 98195, USA. Electronic address: shaoen@u.washington.edu.
University of Washington · USFred Hutch Cancer Center · US

Funding

New Molecular Probes For Protein KinasesR01GM086858 · NIGMS · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J · 2008 to 2025
$5.5M
Supplement to DEFINING PATHWAY-SPECIFIC KINASE SIGNALING MODULES WITH PROTEOMICSR01GM129090 · NIGMS · UNIVERSITY OF WASHINGTON · PI ONG, SHAO-EN · 2019 to 2022
$1.7M
Characterizing Muscle Regulatory Elements with Mass Spectrometry-Based ProteomicsR01AR065459 · NIAMS · UNIVERSITY OF WASHINGTON · PI ONG, SHAO-EN · 2013 to 2017
$1.6M
A NanoLC-Orbitrap Tribrid Instrument for Comprehensive Proteomics AnalysesS10OD021502 · OD · UNIVERSITY OF WASHINGTON · PI ONG, SHAO-EN · 2017 to 2017
$906k
Kinase Profiling with Quantititative ChemoproteomicsR21CA177402 · NCI · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J, ONG, SHAO-EN · 2013 to 2015
$665k
Frizzled2 Signaling in Metastatic CancersK22CA201229 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GUJRAL, TARAN SINGH · 2016 to 2018
$562k
Target identification by small-molecule labeling in live cellsR21EB018384 · NIBIB · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J, ONG, SHAO-EN · 2014 to 2015
$425k
Novel Targets of Chemotherapeutic Drugs that Trap Protein on DNAR21CA194876 · NCI · UNIVERSITY OF WASHINGTON · PI MAIZELS, NANCY, ONG, SHAO-EN · 2015 to 2016
$370k
NCI NIH HHS K22 CA201229NCI NIH HHS R21 CA177402NCI NIH HHS R21 CA194876NIAMS NIH HHS R01 AR065459NIBIB NIH HHS R21 EB018384NIGMS NIH HHS R01 GM086858NIGMS NIH HHS R01 GM129090NIH HHS S10 OD021502
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a complex and deadly disease lacking druggable genetic mutations. The limited efficacy of systemic treatments for advanced HCC implies that predictive biomarkers and drug targets are urgently needed. Most HCC drugs target protein kinases, indicating that kinase-dependent signaling networks drive HCC progression. To identify HCC signaling networks that determine responses to kinase inhibitors (KIs), we apply a pharmacoproteomics approach integrating kinome activity in 17 HCC cell lines with their responses to 299 KIs, resulting in a comprehensive dataset of pathway-based drug response signatures. By profiling patient HCC samples, we identify signatures of clinical HCC drug responses in individual tumors. Our analyses reveal kinase networks promoting the epithelial-mesenchymal transition (EMT) and drug resistance, including a FZD2-AXL-NUAK1/2 signaling module, whose inhibition reverses the EMT and sensitizes HCC cells to drugs. Our approach identifies cancer drug targets and molecular signatures of drug response for personalized oncology.

Indexed as

Antineoplastic AgentsCarcinoma, HepatocellularDrug Resistance, NeoplasmEpithelial-Mesenchymal TransitionHumansLiver NeoplasmsProtein KinasesProteomicsAntineoplastic AgentsProtein Kinasesdrug resistanceepithelial-mesenchymal transitionhepatocellular carcinomakinase inhibitorskinobeadspharmacoproteomicsphosphoproteomicsprotein kinase

Identifiers

PMID32755597
PMCPMC7484106
OpenAlexW3046938828

What Socratic 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 Socratic graph.