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Record W2551914787 · doi:10.1182/blood.v106.11.113.113

PKC δ Inhibition Restores PTEN Activity in Myeloma Cells and Prolongs Survival of GFP+ Myeloma SCID/NOD Mice In Vivo.

2005· article· en· W2551914787 on OpenAlexaff
Nizar J. Bahlis, Maya Starovic, Koen Raedschelders, Kathy Gratton, Oliver F. Bathe, Andrew R. Belch

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsRottlerinPTENProtein kinase BPhosphorylationCancer researchPI3K/AKT/mTOR pathwayMolecular biologyProtein kinase CChemistryBiologyKinaseCell biologySignal transduction

Abstract

fetched live from OpenAlex

Abstract PTEN, a cellular phosphatase involved in the regulation of phosphatidylinositol phosphates (PIPs), is often inactivated in myeloma cells either through gene mutation or via phosphorylation of serine and threonine residues in the PTEN C-terminal domain that also results in loss of its activity and stability. The loss of PTEN function results in a failure to de-phosphorylate PIPs with a corresponding increase in Akt kinase activity. We have recently reported that PKCδ inhibition with Rottlerin (3 μM) induces cell death in sensitive and resistant myeloma cell lines (MM1S, MM1R, 8226S and U266) (Blood2002,100,11,393a). In addition Rottlerin blocked constitutive as well as IGF-1 induced phosphorylation of Akt abrogating its kinase activity and suppresses the phosphorylation of FKHR, GSK 3α/β and Bad, downstream substrates of Akt, triggerring activation of the intrinsic apoptotic pathway with loss of the mitochondrial membrane potential (Δψ) and cleavage of caspases 9, 3 and PARP. PKCδ inhibition also suppressed, upstream of Akt, ser 241-PDK1 phosphorylation by PIPs. These findings led us to investigate the PTEN status in human myeloma cell lines (MM1S, 8226S and U266). While normal PTEN expression was detected in these cell lines, PTEN was universally phosphorylated on ser 380 in its C-terminal domain, resulting in loss of its activity. Rottlerin completely suppressed the phosphorylation of this serine residue, restoring PTEN function and dephosphorylating PIPs. In order to verify that Rottlerin exhibited its effects by inhibiting PKCδ, we first stably overexpressed PKCδ in the 8226S cells. PKCδ overexpression partially protected these cells against rotttlerin cytotoxicity and abrogated rottlerin induced AKT inhibition and PTEN activation. Furthermore transfection of 8226S cells with a mammalian PKCδ siRNA expression plasmid (sense strand of shRNA: 5′_AAGAACGCTTCAACATCGACATTCAAGATGCGATGTTGAAGCGTTCTTTTTTTG_3′expression plasmid) reduced PKCδ expression by nearly 90% and more importantly it reduced PTEN, Akt and GSK 3α/β phosphorylation. Finally, we examined the effect of Rottlerin on the viability of GFP+ myeloma SCID/NOD mice in vivo. 4 to 6 weeks old SCID/NOD mice were irradiated (300 rads) and 24 h later received tail vein injections of 5 x 106 RPMI-8226/S-GFP+ cells. Treatment with Rottlerin (3mg/kg ip) every other day was effective in slowing tumor growth as monitored by whole-body real-time fluorescence imaging and prolonged median survival of GFP+ myeloma SCID/NOD mice compared to a non-treated control cohort. In summary, our work provides evidence that PKCδ inhibition restores PTEN function in wild type PTEN expressing myeloma cells and is a valid biological target for the treatment of multiple myeloma.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.238
Teacher spread0.229 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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