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Record W2039643947 · doi:10.1158/1538-7445.am2013-824

Abstract 824: Regulation of PAR-4 activity in chemoresistant ovarian cancer cells: A major role for the cleaved fragment in the control of apoptosis.

2013· article· en· W2039643947 on OpenAlexaff
Kevin Brasseur, Sophie Parent, Éric Asselin

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsUniversité du Québec à Trois-RivièresInnovation and Economic Development Trois Rivières
Fundersnot available
KeywordsCisplatinApoptosisOvarian cancerCancer researchIn vivoCancer cellChemistryIn vitroCancerProstate cancerCell cultureMolecular biologyBiologyChemotherapyMedicineInternal medicineBiochemistryGenetics

Abstract

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Abstract Prostate Apoptosis Response-4 (PAR-4) is a tumor suppressor protein whose expression level in cancer is frequently decreased; however it is neither mutated nor suppressed. A unique feature of PAR-4 is that it can induce apoptosis selectively in cancer cells without destroying normal cells, giving it an interest in anti-cancer targeted therapy. PAR-4 is not only regulated at the expression level, but also post-translationally by phosphorylation, and protein cleavage. Most recently, the caspase-3 cleaved form of PAR-4 has been demonstrated by our laboratory and we have shown that it has all the necessary sites to induce apoptosis. In the present study, we have investigated the mechanisms regulating PAR-4 and its cleaved form in chemosensitive versus chemoresistant ovarian cancer cells. Using A2780/A2780CP ovarian cell lines (sensitive and resistant to cisplatin in vitro) and OV2295/OV2295-2 (sensitive cells obtained before treatment and cisplatin resistance acquired in vivo), we compared expression level of PAR-4 and its cleaved form (cl.PAR-4) after treatment with cisplatin. Only sensitive cancer cells have a decrease of PAR-4 level and an increase of cl.PAR-4. To further investigate mechanisms behind cl.PAR-4, we produced stable clones of A2780/A2780CP expressing cl.PAR-4-MYC using lentiviral particles. Our first observations were that, upon cisplatin treatment, cl.PAR-4-MYC protein level was increased indicating post-translational mechanisms regulating cl.PAR-4. Using proteasome inhibitor, MG-132, cl.PAR-4-MYC expression level highly increase indicating a link between cl.PAR-4 and the proteasome. We also obtained preliminary results indicating a regulation of cl.PAR-4-MYC by the MAPK pathway. Using U0126, a MEK ½ inhibitor, we were able to lower cl.PAR-4-MYC protein level and also basal cl.PAR-4. Upon cisplatin treatment in A2780-cl.PAR-4, p-ERK ½ expression increased in correlation with the increase of cl.PAR-4-MYC while in A2780-Empty cells, the level of p-ERK ½ was not influenced. We also investigated the localization of cl.PAR-4 using cytoplasmic/nuclear fractionation and harvested the culture supernatant to verify if the protein is excreted from the cancer cells. The fractionation indicates that cl.PAR-4-MYC is localized equally in both nucleus and cytoplasm. We have analyzed the supernatant and found that cl.PAR-4 is also present outside of the cell indicating an excretion/secretion mechanism of cl.PAR-4. Further analyses of the post-translational mechanisms behind cl.PAR-4 still need to be investigated to better understand the regulation of this potential tumor suppressor. By better understanding the mechanisms of PAR-4 and its cleaved form, we may be able to utilize this protein to sensitize chemoresistant ovarian cancer cells. These findings may open new treatment options against women's cancers by improving their health. Citation Format: Kevin Brasseur, Sophie Parent, Éric Asselin. Regulation of PAR-4 activity in chemoresistant ovarian cancer cells: A major role for the cleaved fragment in the control of apoptosis. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 824. doi:10.1158/1538-7445.AM2013-824

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.102
Threshold uncertainty score0.713

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.033
GPT teacher head0.338
Teacher spread0.306 · 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 teacher head, 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
Published2013
Admission routes1
Has abstractyes

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