Identification and Characterization of Different Metabolic Subtypes in Cancer

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dc.contributor.advisorBathe, Oliver F.
dc.contributor.authorPervin, Jannat
dc.contributor.committeememberTang, Patricia A.
dc.contributor.committeememberWang, Edwin
dc.date2020-06
dc.date.accessioned2020-01-09T21:23:22Z
dc.date.available2020-01-09T21:23:22Z
dc.date.issued2020-01-07
dc.description.abstractCancer is a leading cause of death worldwide. Genomics based approaches represent a dominant approach in oncological research. However, multiple processes can modify genetic information and impact cancer’s phenotype in a non-coding manner such as epigenetic events, transcription of various splice variants, expression of non-coding RNA and miRNA, and post-translational modifications of proteins. Therefore, molecular events that are further downstream of the genome (perhaps reflected by the proteome or the metabolome) may better reflect the tumour phenotype. One feature of cancer is perturbed metabolism. Some of the aberrant metabolic pathways may enhance tumour viability and growth, and these perturbed pathways may be susceptible to pharmacologic inhibition. Thus, our overall goal is to categorize tumours by their metabolic features; to understand the biological implications of these metabolic features, and to identify pathways that could be potentially targeted with drugs. This project involves the development of a workflow to define the metabolic features of a tumour. The workflow will involve the categorization of tumours based on their metabolic features (at the transcriptome level), exploration of associated biological features of each metabolic subtype, and integration of multiple levels of molecular control (including mutation status, copy number variation, methylation, and metabolome). Our work began with breast cancer, which is already well characterized by a large cohort in The Cancer Genome Atlas (TCGA) project. Then we used the same principles to investigate a more complex tumour type, pancreatic cancer, which is characterized by a highly variable degree of stroma infiltration.en_US
dc.identifier.citationPervin, J. (2020). Identification and Characterization of Different Metabolic Subtypes in Cancer (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/37425
dc.identifier.urihttp://hdl.handle.net/1880/111452
dc.language.isoengen_US
dc.publisher.facultyCumming School of Medicineen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectMetabolismen_US
dc.subjectBreast Canceren_US
dc.subjectPancreatic Ductal Adenocarcinomaen_US
dc.subjectAnalytical Workflowen_US
dc.subjectDeconvolutionen_US
dc.subject.classificationBioinformaticsen_US
dc.subject.classificationOncologyen_US
dc.subject.classificationBiochemistryen_US
dc.subject.classificationPhysics--Molecularen_US
dc.titleIdentification and Characterization of Different Metabolic Subtypes in Canceren_US
dc.typemaster thesisen_US
thesis.degree.disciplineMedicine – Medical Sciencesen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameMaster of Science (MSc)en_US
ucalgary.item.requestcopytrueen_US
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