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Record W2094297819 · doi:10.1158/1538-7445.am10-1256

Abstract 1256: Protein kinase G type Iα activity in human ovarian cancer cells contributes to enhanced Src activation and DNA synthesis/cell proliferation

2010· article· en· W2094297819 on OpenAlexaff
Janica C. Wong, Elaine Lai‐Han Leung, Mary G. Johlfs, Benjamin K. Tsang, Ronald R. Fiscus

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsProto-oncogene tyrosine-protein kinase SrccGMP-dependent protein kinaseTyrosine phosphorylationTyrosine kinasePhosphorylationCell biologyCancer cellBiologyCell growthCancer researchSignal transductionChemistryProtein kinase AMolecular biologyCancerCyclin-dependent kinase 2Biochemistry

Abstract

fetched live from OpenAlex

Abstract We have previously shown that basal activity of the nitric oxide (NO)/cyclic GMP (cGMP)/protein kinase G (PKG) signaling pathway protects human ovarian cancer cells against spontaneous apoptosis and confers resistance to cisplatin-induced apoptosis. The present study determines whether basal PKG activity up-regulates Src and induces cell proliferation in human ovarian cancer cells. PKG-Iα was identified as the predominant isoform of PKG expressed in both cisplatin-sensitive OV2008 and cisplatin-resistant A2780cp human ovarian cancer cells. In both cell lines, both ODQ, an inhibitor of endogenous-NO-induced cGMP biosynthesis, and DT-2, highly-specific inhibitor of PKG-Iα activity, as well as PKG siRNA caused concentration-dependent inhibition of DNA synthesis (assessed by BrdU incorporation) under normal (plus-serum) growing conditions, indicating an important role of basal cGMP/PKG-Iα activity in promoting cell proliferation. DNA synthesis in OV2008 cells was dependent on Src activation, determined using selective Src inhibitor, 4-(4′-phenoxyanilino)-6,7-dimethoxyquinazoline (SKI-1). In vitro co-incubation of human recombinant Src and PKG-Iα resulted in Src-mediated tyrosine-phosphorylation of PKG-Iα and enhanced Src autophosphorylation at tyrosine-416, suggesting that Src directly tyrosine-phosphorylates PKG-Iα and the interaction between PKG-Iα and Src also leads to enhanced Src activation. The result was further confirmed by using immunoprecipitation of PKG, showing a concentration-dependent decrease in PKG tyrosine-phosphorylation by SKI in both ovarian cancer cell lines. In intact OV2008 cells, inhibition of basal PKG-Iα activity with DT-2 dramatically reduced endogenous Src activation and completely blocked the elevation of DNA synthesis stimulated by EGF. The data suggest that Src activation and DNA synthesis/cell proliferation in human ovarian cancer cells are dependent on endogenous basal PKG-Iα activity. The NO/cGMP/PKG-Iα signaling pathway may provide a novel therapeutic target for disrupting the proliferation of ovarian cancer cells. Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1256.

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.381
Teacher spread0.340 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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