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Record W4396627503 · doi:10.11159/nddte24.109

Synthesis of Hybrid Nanoparticles Containing siRNA and Quercetin for Targeting Triple-Negative Breast Cancer

2024· article· en· W4396627503 on OpenAlex
Orhan Burak Eksi, Ömer Aydın

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.

venuePublished in a venue whose home country is Canada.
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

VenueProceedings of the World Congress on Recent Advances in Nanotechnology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCurcumin's Biomedical Applications
Canadian institutionsnot available
Fundersnot available
KeywordsTriple-negative breast cancerNanoparticleCancerCancer researchBreast cancerQuercetinChemistryNanotechnologyMaterials scienceMedicineInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Triple-negative breast cancer (TNBC) presents a formidable challenge in oncology due to its aggressive nature and the absence of targeted therapies.[1] In this study, we aimed to devise an innovative strategy for TNBC treatment by combining chemotherapy with siRNA-based gene therapy.Eukaryotic Elongation Factor 2 Kinase (eEF2K) functions as a protein that regulates protein synthesis to enable the survival of cancer cells through energy conservation.eEF2K prevents cells from engaging in unnecessary protein synthesis, thereby assisting cancer cells in surviving for extended periods.[2],[3],[4]Due to this property, we purposed to silence eEF2K protein by using eEF2K siRNA.Also, quercetin is a flavonoid found in fruits, vegetables, and plants, and it has been suggested to have positive effects in combating cancer.Research indicates that quercetin stimulates programmed cell death (apoptosis) in cancer cells, inhibits cancer cell growth and spread through caspase activation and various signaling pathways.[5],[6]Additionally, quercetin can reduce cellular stress, which may hinder the growth of cancer cells.[7]Consequently, quercetin is believed to possess anticancer properties and has the potential to contribute to cancer management through different mechanisms.[5],[6],[7] In this study, we harnessed the chemotherapeutic properties of quercetin (Qu), a flavonoid, to synthesize silver nanoparticles (AgNPs) as a nanocarrier.Surface modification of AgNP+Qu complex was covered by positively charged polymer and facilitated the electrostatic interaction with eEF2K siRNA.To mitigate potential toxicities associated with positively charged nanoparticles, we employed the negatively charged polymer.Finally, a hybrid nanoparticle was developed.Extensive characterization of the hybrid nanoparticle confirmed their size to be 133 nm and a zeta potential of approximately -36 mV.The combination of siRNA-based gene therapy and chemotherapy demonstrated remarkable efficacy in reducing the viability of TNBC cells in vitro.In conclusion, our study establishes the feasibility of employing AgNPs as a nanocarrier for the delivery of eEF2K siRNA and quercetin, offering a promising avenue for the development of targeted therapies for TNBC, a malignancy with limited treatment options.Further investigations are warranted to assess the safety and efficacy of this approach in in vivo models.

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)0.001
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 score0.150
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.276
Teacher spread0.269 · 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