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Articles 1 - 5 of 5
Full-Text Articles in Medicine and Health Sciences
The Influence Of Administrative Timing In Triple-Negative Breast Cancer Treatments, Emily Mailloux
The Influence Of Administrative Timing In Triple-Negative Breast Cancer Treatments, Emily Mailloux
Electronic Theses and Dissertations
Breast cancer accounts for 25% of all cancers in Canadian women, and 15-20% of these are triple-negative breast cancers (TNBC), which have a poorer prognosis than other breast cancer subtypes. TNBC lacks expression of the estrogen receptor, progesterone receptor, and the human epidermal growth factor receptor 2 (HER2), which are common therapeutic targets in breast cancer. Due to the lack of target therapy, generalized chemotherapy treatments are used instead. The standard of care for treatment of TNBC instead consists of doxorubicin (A), cyclophosphamide (C) paclitaxel (T), and carboplatin (Carbo), that target various aspects of the cell cycle to induce cell …
The Role Of The Circadian Clock In The Intestinal Epithelium During Health, Regeneration, And Tumourigenesis, Kyle Stokes
The Role Of The Circadian Clock In The Intestinal Epithelium During Health, Regeneration, And Tumourigenesis, Kyle Stokes
Electronic Theses and Dissertations
The Earth’s axial rotation subjects its surface to constant periods of light and dark, this is known as photoperiod. Many organisms have adapted their physiology in accordance with this environmental constant by generating 24h rhythms in their physiological functions; these are known as circadian rhythms. Circadian rhythms are controlled by an endogenous time-keeping mechanism known as the circadian clock. Over 40% of the genome in mice and over 80% of the genome in primates has been shown to have 24h rhythms in transcription. The disruption of circadian rhythms through shiftwork, jetlag, or exposure to light at night is associated with …
Exploring The Role Of Nkr-P1b:Clr-B Interaction In Mouse Mammary Tumour Immunosurveillance, Raghd Al Olabi
Exploring The Role Of Nkr-P1b:Clr-B Interaction In Mouse Mammary Tumour Immunosurveillance, Raghd Al Olabi
Electronic Theses and Dissertations
Natural killer (NK) cells are large, granular, and cytotoxic innate lymphocytes which do not require prior antigenic exposure to target cancerous and virally infected cells. NK cells possess activating and inhibitory receptors which may activate or inhibit NK cell activity, respectively. In mice, the inhibitory NKR-P1B receptor on NK cells recognizes the C-type lectin-related protein-b (Clr-b) ligand expressed on most autologous cells but downregulated on many tumour cell lines. In B cell lymphoma models, the disruption of NKR-P1B:Clr-b interaction results in delayed tumour development and progression, suggesting that blockage of inhibitory signals from NKR-P1B augments NK cell activity against lymphoma …
An Enhancement To Cnn Approach With Synthesized Image Data For Disease Subtype Classification, Narider Pal Singh
An Enhancement To Cnn Approach With Synthesized Image Data For Disease Subtype Classification, Narider Pal Singh
Electronic Theses and Dissertations
The introduction of genetic testing has profoundly enhanced the prospects of early detection of diseases and techniques to suggest precision medicines. The subtyping of critical diseases has proven to be an essential part of the development of individualized therapies and has led to deeper insights into the heterogeneity of the disease. Studies suggest that variants in particular genes have significant effects on certain types of immune system cells and are also involved in the risk of certain critical illnesses like cancer. By analyzing the genetic sequence of a patient, disease types and subtypes can be predicted. Recent research work has …
A Network-Based Approach For Computational Drug Repurposing On Cancer Data, Ann Reba Thomas Alexander
A Network-Based Approach For Computational Drug Repurposing On Cancer Data, Ann Reba Thomas Alexander
Electronic Theses and Dissertations
In this thesis, we are interested in finding the best drugs that can be repurposed for the disease and able to find the adverse effects such drugs that are FDA-Approved. Developing an effective drug can be a time-consuming and expensive crucible method. Network-based machine learning methods are used for predicting a given drug for A that can be used for B. It aims at finding new indications for already existing drugs and therefore increases the available therapeutic choices at a fraction of the cost of new drug development. The perturbation gene expression data corresponding to the MCF7 cell line was …