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Record W2914316727 · doi:10.5430/jst.v9n1p21

IL-2 induces apoptosis, increases the production and expression of cytochrome-C and inhibits COX IV in cervical cancer cells

2019· article· en· W2914316727 on OpenAlexvenueno aff
Edgar Ivan Torres-Corioriles, Itzel del Río-Ortiz, Benny Weiss‐Steider, Miguel Angel Barrios-Maya, Leonardo Trujullo-Cirilo, Teresa Corona-Ortega, Rosalva Rangel-Corona

Bibliographic record

VenueJournal of Solid Tumors · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsnot available
Fundersnot available
KeywordsApoptosisCytochrome cProgrammed cell deathDNA fragmentationCancer cellCytotoxic T cellCancer researchPhosphatidylserineFragmentation (computing)CancerCell growthMolecular biologyMedicineBiologyInternal medicineBiochemistryIn vitroMembrane

Abstract

fetched live from OpenAlex

It is known that cervical cancer cells express IL-2 receptor (IL-2R) and those high doses induce cell death. To identify the type of cell death two cervical cancer cell lines, CALO and INBL, were cultured with 100 IU/ml of IL-2. Our results showed the presence of apoptotic cell death by the significant expression of phosphatidylserine on the external surface of cellular membranes, the presence of a typical DNA fragmentation and the activation of caspase 3. We also observed that the expression of COX I, COX II and COX III was not significantly altered while that of COX IV was completely inhibited. An increased expression of cytochrome-C by confocal microscopy was observed. Finally, we speculate that the clinical effect and toxicities of IL-2 used in cancer therapies is mostly due to its apoptotic effect on the cancer cells themselves rather than, as thought, the cytotoxic contribution of leukocytes.

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 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 score0.031
Threshold uncertainty score0.177

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 head0.007
GPT teacher head0.240
Teacher spread0.233 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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