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Record W2296706140 · doi:10.18632/oncotarget.7918

Insulin receptor substrate 1 is a substrate of the Pim protein kinases

2016· article· en· W2296706140 on OpenAlexaffabout
Jin H. Song, Sathish K.R. Padi, Libia A. Luevano, Mark D. Minden, Daniel J. DeAngelo, Gary Hardiman, Lauren E. Ball, Noel A. Warfel, Andrew S. Kraft

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer Mechanisms and Therapy
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
FundersNational Institute of Dental and Craniofacial ResearchAstraZenecaMedical University of South CarolinaGenentechNational Cancer InstituteNational Institutes of HealthUniversity of South Carolina
KeywordsKinaseMedicineCancer researchGerontologyChemistryBiochemistry

Abstract

fetched live from OpenAlex

// Jin H. Song 1, 2 , Sathish K. R. Padi 2 , Libia A. Luevano 2 , Mark D. Minden 3 , Daniel J. DeAngelo 4 , Gary Hardiman 5 , Lauren E. Ball 6 , Noel A. Warfel 1, 2 , Andrew S. Kraft 2 1 Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ 85724, USA 2 University of Arizona Cancer Center, University of Arizona, Tucson, AZ 85724, USA 3 Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 2M9, Canada 4 Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA 5 Departments of Medicine and Public Health Sciences and The Center for Genomics Medicine, Medical University of South Carolina, Charleston, SC 29425, USA 6 Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, SC 29425, USA Correspondence to: Jin H. Song, e-mail: jinsong@email.arizona.edu Andrew S. Kraft, e-mail: akraft@uacc.arizona.edu Keywords: insulin, IGF1, IRS1, Pim kinase, Pim kinase inhibitor Received: December 28, 2015 Accepted: February 14, 2016 Published: March 04, 2016 ABSTRACT The Pim family of serine/threonine protein kinases (Pim 1, 2, and 3) contribute to cellular transformation by regulating glucose metabolism, protein synthesis, and mitochondrial oxidative phosphorylation. Drugs targeting the Pim protein kinases are being tested in phase I/II clinical trials for the treatment of hematopoietic malignancies. The goal of these studies was to identify Pim substrate(s) that could help define the pathway regulated by these enzymes and potentially serve as a biomarker of Pim activity. To identify novel substrates, bioinformatics analysis was carried out to identify proteins containing a consensus Pim phosphorylation site. This analysis identified the insulin receptor substrate 1 and 2 (IRS1/2) as potential Pim substrates. Experiments were carried out in tissue culture, animals, and human samples from phase I trials to validate this observation and define the biologic readout of this phosphorylation. Our study demonstrates in both malignant and normal cells using either genetic or pharmacological inhibition of the Pim kinases or overexpression of this family of enzymes that human IRS1 S1101 and IRS2 S1149 are Pim substrates. In xenograft tumor experiments and in a human phase I clinical trial, a pan-Pim inhibitor administered in vivo to animals or humans decreased IRS1 S1101 phosphorylation in tumor tissues. This phosphorylation was shown to have effects on the half-life of the IRS family of proteins, suggesting a role in insulin or IGF signaling. These results demonstrate that IRS1 S1101 is a novel substrate for the Pim kinases and provide a novel marker for evaluation of Pim inhibitor therapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.254
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2016
Admission routes2
Has abstractyes

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