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Record W2134632073 · doi:10.5339/qproc.2012.stem.1.55

Influence of Active and Non-active Protein C on Human Ovarian Cancer Stem Cells

2012· article· en· W2134632073 on OpenAlex
S. Mirshahi, Halema Al Farsi, D Azzazen, Samaher Besbes, E Pujade-Laurain, Amu Therwath, J Soria, Massoud Mirshahi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueQScience Proceedings · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsnot available
Fundersnot available
KeywordsAngiogenesisCancer stem cellStem cellCancer researchCancer cellMetastasisCD44CancerTumor microenvironmentChemistryStem cell markerCell biologyBiologyImmunologyMedicineImmune systemCellInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Abstract Introduction: The coagulation/fibrinolysticsystem control the intravascular fibrin hemostasis;in addition to participating in a wide variety of physio-pathological processes. The components of the system have an influence on tumor growth, invasion and metastasis. This is a result of their involvement in tumor matrix construction, angiogenesis and cell migration. Several homeostatic markers are currently used to predict the advent of thrombosis. However, none of these markers directly indicate the course and progression of the disease. Destabilization of peri-tumoral matrix enhances the malignant phenotype of cancer cells. The characterization of cytokines and proteolytic enzymes, secreted in tumor microenvironment, plays an important role in the mechanism of the escape phenomenon. However, the consequence of interaction of protein C on cancer stem cells is poorly investigated. Objective: The aim of our study was to analyze the physio-pathological response of human ovarian cancer stem cells (OVCAR-3) to active and non-active protein C. OVCAR-3 cells were cultured in DMEM medium containing 10% fetal calf serum, penicillin (50 U/ml), and streptomycin (50 μg/ml) and incubated in a humidified atmosphere containing 5% CO2 at 37°C, as recommended by the supplier (PAA Laboratories Inc, Etobicoke, ON, USA). Cells were characterized by flow cytometry for their propriety of stem cell like with specific anti CD133 and CD117 antibodies. The influence of active and non-active protein C (10 µg/ml, Eli Lilly) on this cell was performed by cytokine array (Ray Biotech, CliniScience) and in parallel by a wound healing test. We demonstrated by a wound healing test that the migration of ovarian cancer cells enhanced when incubated with Active protein C compared to the cells that were incubated with Non-active protein C. Also the cytokine array showed different cytokines secreted by cells incubated with Active protein C and Non-active protein C. It was found that Active protein C not only provides cancer cells cytoprotective effects, it may also participate in extracellular matrix local destabilization, thereby promoting metastatic dissemination.

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.

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)0.000
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 score0.050
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.018
GPT teacher head0.286
Teacher spread0.268 · 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