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Record W6998608459

Antibody and Anticancer Drug Functionalised Gold Nanoparticles as Novel and Potential Immunotherapeutic Agents for Targeted Biological Treatment Against Cancers

2023· dissertation· en· W6998608459 on OpenAlexaboutno aff

Bibliographic record

VenueThe Sydney eScholarship Repository (The University of Sydney) · 2023
Typedissertation
Languageen
FieldMedicine
TopicCancer Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMonoclonal antibodyDrugDrug deliveryContext (archaeology)Colloidal goldCancerCancer immunotherapyAntibodyAdjuvant
DOInot available

Abstract

fetched live from OpenAlex

Biological therapeutic approaches are important in the context of pharmacological development and innovation. As the area of molecular biology keeps expanding rapidly, new methods and approaches are becoming available for the development of novel biopharmaceuticals and the refinement of existing biological therapies. This thesis explores an empirical study of the functionalisation of two different antibodies (nimotuzumab and trastuzumab) (chapter 3 and 4, respectively) and one thiol-containing anticancer drug (mertansine, analogue of maytansine) with dual antibodies onto a gold nanoparticle surface (chapter 5) for addressing the key challenges and potentialities of innovative immunotherapeutics. Massive interest in nanoparticle exploration, particularly concerning its medicinal implications, has been prompted by recent developments in nanotechnology. Numerous nanoparticles in diverse forms, sizes, and composites now show great potential for cancer treatment. Nanoparticles were used in specific target biological drug delivery vehicles and adjuvants for improving the administration of antibodies and thiolate anticancer drugs conjugated antibodies to specific receptors, by accumulating them due to increased permeability and retention effect (EPR) of cancer tissue. Because of their simplicity in synthesis, simple surface functionalisation, adjuvant capabilities, effective bioconjugation, probable non-cytotoxicity, tuneable and improved scattering, and absorption properties, gold nanoparticles (AuNPs) have significant advantages in cancer applications when compared to other nanoparticles. 
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\nWorldwide, cancer is a major incidence of death. United States Food and Drug Administration (US FDA) initially authorised monoclonal antibody (mAb) in 1986 and especially for cancer treatment in 1997. Monoclonal antibodies account for the majority of biological drugs now being researched in clinical studies. Antibody-related drugs (e.g., antibody-drug conjugates, antibody fragments, bispecific antibodies) and full-size therapeutic mAbs have become the most popular agents in the biopharmaceutical sector and are now being researched in clinical studies. At present, U.S. FDA, Swissmedic, Australia TGA, European Medicines Agency (EMA), Health Canada, Japanese, Indian, and Chinese regulatory agencies have approved biosimilar monoclonal antibodies (mAbs) for chronic inflammatory, cancer, vaccine, non-communicable disease, and autoimmune disease treatment. mAbs can bind to antigens precisely and cause cytotoxicity. An antibody is an adaptive and practical approach to detecting and treating malignant tumours by neutralising effects or enhancing innate antibody-dependent cellular cytotoxicity (ADCC), complement-dependent cytotoxicity (CDC), and antibody-dependent cellular phagocytosis (ADCP) pathway. The tyrosine kinase family human epidermal growth factor receptor (HER-2, EGFR, and EGFR/HER-2) expression has been linked to the genesis and proliferation of numerous human cancers. Nimotuzumab (NmAb), a monoclonal antibody against the human epidermal growth factor receptor, and trastuzumab (TmAb), a monoclonal antibody against the human epidermal receptor-2 employed in the management and treatment of EGFR and HER-2 expressed cancers, respectively. TmAb and NmAb are making headway in the treatment of HER-2 and EGFR co-expressed cancers, both individually and in conjunction with AuNPs. The current antibody therapy is not the best receptor-targeted treatment strategy in clinical use due to some issues like antigen mono-specific, unstable in a biological medium, and resistance properties. Thus, a novel therapeutic approach is primarily needed to enhance the efficacy of mAb antibody-based immunotherapeutic agents for the treatment of both resistant and non-resistant cancers. That’s why I have tried to address some of the issues and conjugated antibodies and anticancer drugs with gold nanoparticles to overcome those issues.
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\nTo revolutionise present treatment approaches and strategies, this research designed and addressed three critical steps. Step (1): to rapidly synthesise different sizes (around 10 nm to 30 nm) of homogeneous and spherical AuNPs (being utilised as adjuvants and biological drug nano-carriers) by using citrate-tannate complexes, which is a strong and effective reducing agent, under lower temperatures followed by PEGylation using thiol-PEG compounds. Step (2): to develop antibody-AuNPs and dual antibody-AuNPs-anticancer drug nano complex compounds for improving the biophysical properties and treatment strategies to enhance synergistic capabilities against cancers. Step (3): to deliver customised and uniquely designed AuNPs-based antibodies and anticancer drugs to specific tumour cells to improve cellular uptake and boost cancer treatment specificity against A431, Calu-3, A549, and SKBR-3 cancer cells. Herein, I developed different bio-engineered immunoconjugates by combining therapeutic monoclonal antibodies (nimotuzumab and trastuzumab), and emtansine chemotherapeutic drugs (DM1) with AuNPs for providing precise synergistic targeted therapy against A549 and Calu-3 lung tumour, A431 skin cancer, and SKBR-3 breast cancer cell lines. A variety of physicochemical techniques have been used to describe the AuNPs-NmAb, AuNPs-TmAb, and AuNPs-DM1-TmAb-NmAb nanoconjugates via transmission electron microscopy (TEM), ultraviolet-visible spectrophotometry (UV-Vis), dynamic light scattering (DLS), Fourier-transform infrared spectroscopy (FTIR) and nanoparticle tracking analysis (NTA). We used polyacrylamide gel electrophoresis (SDS-PAGE), NaCl-salt titration, and biological medium tests to conduct the stability and binding activity analyses respectively, of the designed conjugates. Furthermore, the cytotoxicity potency and intracellular absorption of surface-modified AuNPs via cells were also assessed in vitro through MTT and spICP-MS assay, respectively. The survivability of cancerous cells was considerably reduced when AuNPs-NmAb was applied to A549 and A431 cells, AuNPs-TmAb was applied to Calu-3 and A431 cells, and AuNPs-DM1-TmAb-NmAb was applied to SKBR-3 cells compared to alone used of NmAb, TmAb, and DM1. Similar to this, AuNPs significantly boosted cellular absorption after PEGylation and conjugating with antibodies. For the lung and skin cancer cell lines, approximately 80 µg/mL of PEGylated 25–30 nm size, and for the breast cancer cell line, 40 µg/mL of 10 nm of PEGylated AuNPs seemed to be harmless. The results showed that AuNPs-NmAb inhibits the proliferation of EGFR overexpressed cancer cells. Whereas AuNPs-TmAb and AuNPs-DM1-TmAb-NmAb target and inhibit the proliferation of selective HER-2 overexpressed and EGFR/HER-2 co-expressed cancer cells, respectively. Among them, AuNPs-DM1-TmAb-NmAb showed the best immune-therapeutic potential against the EGFR/HER-2 expressed and trastuzumab-resistant breast cancer cell line (SKBR-3) treatment. Overall, this Ph.D. thesis focuses on surface modification and experimental strategies that will assist in the design and manufacturing of AuNPs carrier-based new generation immunotherapeutics for lung, skin, and breast cancer 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.863

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 studies0.0010.000
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 head0.293
Teacher spread0.262 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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