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Record W7009576808

Enhancing the photodynamic therapy of tumors with conjugated fluorescent quantum dot nanoparticles

2011· dissertation· en· W7009576808 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typedissertation
Languageen
FieldMedicine
TopicCancer Research and Treatment
Canadian institutionsnot available
FundersUniversité du Québec à MontréalMcGill UniversityU.S. Environmental Protection Agency
KeywordsPhotodynamic therapyDoxorubicinQuantum dotConjugated systemSinglet oxygenPhotosensitizerFluorescenceCadmium selenide
DOInot available

Abstract

fetched live from OpenAlex

Majority of anti-cancer drugs have been reported as chromophores that can transfer the energy of absorbed light to neighboring metabolites. This group of drugs has been categorized as conventional photosensitizers (PS); while the tumor therapy modality that combines the use of PS with light to generate toxic reactive oxygen species (ROS) has been termed photodynamic therapy (PDT). Moreover, recent researches and clinical studies have been reported to be currently investigating optimal combinations of PS, light sources and ligands for the efficient treatment of various cancers. On the one hand, clinical advantages of conventional PS such as the achievement of localized effects have been reported during PDT of various cancers, unlike the limited specificity of chemotherapeutic and other anti-cancer drugs. However, a number of unmet needs have also been identified in PDT based on the conventional PS agents, despite of the achieved specificity and clinical results. On the other hand, quantum dot (QD) nanocrystals have received considerable interest as PS in recent years due to improved properties such as strong absorption, durable fluorescence and cumulative yield of ROS. Indeed, the exploitation of QD unique optical properties has been the basis of their examination as PDT agents, in addition to various biological applications. Thus, this thesis addressed the improvement of tumor PDT through the development of multifunctional QD-based conjugates with tumor-specific pattern of internalization and enhanced photosensitization-mediated toxicity. Specifically, the conjugated PS complexes consisted of indium phosphide (InP) or cadmium selenide (CdSe) QDs coupled to either anticancer doxorubicin (Dox) or receptor-targeting ligands such as dopamine (DA) and Vascular Endothelial Growth Factor (VEGF). Conjugation was assessed by Electophoretic mobility shift assay (EMSA) and spectroscopic methods, whereas conjugate uptake was examined by confocal microscopy. In addition, the photosensitization-mediated toxicity was evaluated through determination of the conjugate Effective Concentration at half maximum effect (EC50) on melanoma cell lines, using Sulfo-Rhodamine B (SRB) colorimetric assays. Interestingly, QD-based PS conjugates revealed distinctive electrophoretic or spectroscopic profiles, specific uptake pattern as well as ECs50 about four to five or two times more efficient, by comparison to respective free QDs or Dox. Overall, the conjugation of QDs, to molecules that initially were or were not conventional PS, generated anti-cancer complexes that simultaneously combined efficient absorption, receptor-induced endocytosis and photosensitization-mediated toxicity, unlike conventional organic PS 1. Thus, the use of QDs, as either donors or acceptors of fluorescence resonance energy transfer (FRET) 2 within multifunctional PS conjugates, has constituted an excellent approach that would lead to the enhancement of PDT efficacy during the treatment of deep tumors, with an additional advantage of further reduced dosage of PS.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.270
Teacher spread0.250 · 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.

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
Published2011
Admission routes1
Has abstractyes

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