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Record W1590086377 · doi:10.18632/oncotarget.2330

The PIM family of oncoproteins: Small kinases with huge implications in myeloid leukemogenesis and as therapeutic targets

2014· article· en· W1590086377 on OpenAlexaffabout
Kumar Saurabh, Michael T. Scherzer, Parag P. Shah, Alice S. Mims, William W. Lockwood, Andrew S. Kraft, Levi J. Beverly

Bibliographic record

VenueOncotarget · 2014
Typearticle
Languageen
FieldMedicine
TopicCancer Mechanisms and Therapy
Canadian institutionsBC Cancer Agency
FundersAstraZeneca
KeywordsPIM1KinaseCancer researchCarcinogenesisCancerMedicineBiologySerineInternal medicinePhosphorylationCell biology

Abstract

fetched live from OpenAlex

// Kumar Saurabh 1,* , Michael T. Scherzer 1,4,* , Parag P. Shah 1 , Alice S. Mims 5 , William W. Lockwood 6 , Andrew S. Kraft 5 and Levi J. Beverly 1,2,3,4 1 James Graham Brown Cancer Center, University of Louisville, Louisville, KY 2 Department of Medicine, Division of Hematology and Oncology, University of Louisville School of Medicine, Louisville, KY 3 Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, KY 4 Department of Bioengineering, J.B Speed School of Engineering, University of Louisville, Louisville, KY 5 Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 6 Integrative Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada * These authors contributed equally to this work Correspondence: Levi J. Beverly, email: // Keywords : PIM-1, PIM-2, PIM-3, MYC, leukemia Received : July 08, 2014 Accepted : August 07, 2014 Published : August 08, 2014 Abstract PIM kinases are a family of serine/threonine kinases involved in cell survival and proliferation. There is significant structural similarity between the three PIM kinases (PIM1, PIM2 and PIM3) and only few amino acid differences. Although, several studies have specifically monitored the role of PIM1 in tumorigenesis, much less is known about PIM2 and PIM3. Therefore, in this study we have used in vitro cell culture models and in vivo bone marrow infection/transplantation to assess the comparative signaling and oncogenic potential of each of the three PIM kinases. All three PIM kinases were able to protect FL5.12 cells from IL3 withdrawal induced death. Interestingly, the downstream signaling cascades were indistinguishable between the three kinases. Transplantation of murine bone marrow co-expressing MYC and PIM1, PIM2 or PIM3 caused rapid and uniformly lethal myeloid leukemia. De-induction of MYC 18 days following transplantation significantly increased the survival of mice, even with continual expression of PIM kinases. Alternatively, mice treated at the pre-leukemic stage with a PIM kinase inhibitor increased the lifespan of the mice, even with continual expression of the MYC transgene. These data demonstrate the role of PIM kinases in driving myeloid leukemia, and as candidate molecules for therapy against human malignancies.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.250
Teacher spread0.236 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations44
Published2014
Admission routes2
Has abstractyes

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