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Impact Of Intratumor Heterogeneity And The Tumor Microenvironment In Shaping Tumor Evolution And Response To Therapy, Akash Mitra
Impact Of Intratumor Heterogeneity And The Tumor Microenvironment In Shaping Tumor Evolution And Response To Therapy, Akash Mitra
Dissertations & Theses (Open Access)
Intratumor heterogeneity (ITH) is a crucial challenge in cancer treatment. The genotypic and phenotypic heterogeneity underlying diverse cancer types leads to subclonal variation, which may result in mixed or failed response to therapy. The heterogeneity at the tumor level, along with the tumor microenvironment (TME), often shapes tumor evolution and ultimately clinical outcome. Given that modern treatment paradigms increasingly expose patients with metastatic disease to multiple treatment modalities through the course of their disease, there exists a need to characterize robust and predictive biomarkers of response to therapy. In order to accurately characterize tumor evolution, we need to account for …
Analysis Of Structural Variation And Mtdna Copy Number In Finns, Liron Ganel
Analysis Of Structural Variation And Mtdna Copy Number In Finns, Liron Ganel
Arts & Sciences Electronic Theses and Dissertations
Cardiovascular disease (CVD) is a complex disease responsible for more deaths worldwide than any other cause according to the World Health Organization. Genetic association studies for CVD and related risk factors have successfully identified hundreds of loci associated with these complex diseases and traits, although much of their heritability remains unexplained. Structural variants (SVs) - including insertions, deletions, duplications, and inversions - are an understudied class of genomic variation that have the potential to explain much of the missing heritability of CVD and other complex traits. Here, we discuss advances emerging from the study of SVs in the context of …
Development Of In-Silico Pipelines For Identification And Characterization Of Biomarker Panels And Therapeutic Interventions In Gastro-Intestinal (Gi) Cancers, Pranita Atri
Theses & Dissertations
Gastro-intestinal (GI) malignancies, including gastric, colorectal, and pancreatic cancers, have maintained their high overall mortality due to a lack of prognostic and diagnostic biomarkers and potential therapeutic modalities. While efforts have been made to improve both early detection and therapeutic interventions in these cancers, failure of conventional approaches have proven to be a big challenge, and alternate approaches are needed. Computational biology approaches owing to lesser time and more per target success rate offer a unique solution here. The current study explored the use of computational biology techniques to study the various aspects relating to GI malignancies. First, we sought …
Composition And Homology In The Taxonomic Classification Of Escherichia Coli, Tanya Irani
Composition And Homology In The Taxonomic Classification Of Escherichia Coli, Tanya Irani
Theses and Dissertations (Comprehensive)
As new techniques have been introduced, specifically the possibility of complete genome sequencing, better methods of defining bacterial species have also been proposed. One of the most recently proposed methods, using bioinformatic techniques, is to calculate the average nucleotide identity (ANI) between the homologous genome segments of different isolates. Another method for species discrimination that has been tested successfully is the similarity of DNA compositional signatures. However, in a recent update, DNA signatures split the available Escherichia coli complete genomes into three groups. To check if this result was consistent with such genomes belonging to different species, we tested methods …