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Record W2787239610

Abstract #850: Cytotoxic activity of two pleurocidin-like cationic antimicrobial peptides against human breast cancer cells

2009· article· en· W2787239610 on OpenAlexaboutno aff
Ashley L. Hilchie, Aleksander Patrzykat, Susan E. Douglas, David W. Hoskin

Bibliographic record

VenueCancer Research · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntimicrobial Peptides and Activities
Canadian institutionsnot available
Fundersnot available
KeywordsPropidium iodideCytotoxic T cellCancer cellCancerCytotoxicityAntimicrobialAntimicrobial peptidesCancer researchChemistryBiologyMolecular biologyBiochemistryMicrobiologyApoptosisMedicineIn vitroInternal medicineProgrammed cell death
DOInot available

Abstract

fetched live from OpenAlex

Cationic antimicrobial peptides are small peptides that constitute an important defense against microbial pathogens and, in some cases, also exhibit potent cytotoxic activity against cancer cells. Atlantic pleuronectid flatfish are a particularly rich source of cationic antimicrobial peptides, including NRC-03 and NRC-07, which are pleurocidin-like peptides derived from winter and yellowtail flounder, respectively. The purpose of this investigation was to evaluate the potential of NRC-03 and NRC-07 as novel cytotoxic agents for the treatment of breast cancer. Colorimetric MTT and LDH-release assays showed that NRC-03 and NRC-07 rapidly killed MDA-MB-231, MDA-MB-468, MCF-7 and T47D human breast cancer cells in a time- and dose-dependent manner. Additionally, NRC-03 and NRC-07 were cytotoxic towards cisplatin-resistant human ovarian cancer cell lines. Colorimetric hemolytic assays revealed that neither NRC-03 nor NRC-07 possessed hemolytic activity. Human fibroblasts and umbilical vein endothelial cells were not harmed by NRC-03 or NRC-07; however, high concentrations of NRC-03 and NRC-07 were lytic for human T cells and mammary epithelial cells, suggesting that both peptides require modification to enhance breast cancer cell selectivity. Fluorescent microscopy revealed that fluorochrome-labeled NRC-03 and NRC-07 rapidly bound to the surface of breast cancer cells, but not human dermal fibroblasts, suggesting that peptide binding was required for cell death. Propidium iodide staining, as well as scanning electron microscopy, showed that NRC-03 and NRC-07 rapidly caused pore formation in the cellular membrane of breast cancer cells, suggesting that cell death was mediated by membrane lysis. However, flow cytometric analysis of dihydroethidium- or DiOC 6 -stained breast cancer cells revealed that NRC-03- and NRC-07-mediated cytotoxicity was also associated with reactive oxygen species production and mitochondrial membrane destabilization, respectively. Nevertheless, the pan-caspase inhibitor BOC-D-FMK did not prevent NRC-03- and NRC-07-induced cytotoxicity, supporting the hypothesis that NRC-03 and NRC-07 act primarily through a membrane-lytic mechanism. We conclude that NRC-03 and NRC-07 warrant further investigation as novel therapeutic agents for the treatment of breast cancer. Supported by Natural Science and Engineering Research Council of Canada, the Cancer Research Training Program, and the Canadian Breast Cancer Foundation - Atlantic Region Citation Information: In: Proc Am Assoc Cancer Res; 2009 Apr 18-22; Denver, CO. Philadelphia (PA): AACR; 2009. Abstract nr 850.

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 score0.004
Threshold uncertainty score0.012

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)0.0040.001

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 head0.045
GPT teacher head0.358
Teacher spread0.313 · 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
Published2009
Admission routes1
Has abstractyes

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