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Record W1806931918 · doi:10.1021/acs.biomac.5b01039

Theranostic, pH-Responsive, Doxorubicin-Loaded Nanoparticles Inducing Active Targeting and Apoptosis for Advanced Gastric Cancer

2015· article· en· W1806931918 on OpenAlexafffund
Huanrong Ma, Yuqing Liu, Min Shi, Xuebing Shao, Wen Zhong, Wangjun Liao, Malcolm Xing

Bibliographic record

VenueBiomacromolecules · 2015
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaMinistry of Science and Technology of the People's Republic of China
KeywordsDoxorubicinNanocarriersChemistryMTT assayApoptosisConfocal microscopyInternalizationCytotoxicityCancer cellBiophysicsNanoparticleAmphiphileCancerBiochemistryCellDrug deliveryNanotechnologyPolymerChemotherapyMaterials scienceIn vitroCell biologyOrganic chemistryBiologyCopolymer

Abstract

fetched live from OpenAlex

This study developed a kind of magnetic-polymer nanocarrier with folate receptor-targeting and pH-sensitive multifunctionalities to carry doxorubicin (DOX) for treatment of advanced gastric cancer (AGC). Folate-conjugated, pH-sensitive, amphiphilic poly(β-aminoester) self-assembled with hydrophobic oleic acid-modified iron oxide nanoparticles, and the resulting hydrophobic interaction area is a reservoir for lipophilic DOX (F-P-DOX). Confocal microscopy illustrated that F-P-DOX treatment could keep higher DOX accumulation in cells than P-DOX (without folate conjugation), and therefore get a higher efficiency of DOX internalization at pH 6.5 than at pH 7.4. Electron microscope characterization and real-time polymerase chain reaction revealed cell apoptosis promoted by F-P-DOX. The better efficacy of F-P-DOX on GC than free DOX and P-DOX was determined by MTT assay and xenograft model. Moreover, the accumulation of F-P-DOX in the tumor site was detected by magnetic resonance imaging (MRI). All those observations suggest F-P-DOX could be a promising theranostic candidate for AGC treatment.

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 score0.053
Threshold uncertainty score0.800

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 head0.030
GPT teacher head0.302
Teacher spread0.272 · 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

Citations37
Published2015
Admission routes2
Has abstractyes

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