Cancer progression is driven by a complex interplay of the tumor cells with the surrounding environment, including the stroma and immune cells. Unveiling how the mutational processes involved in tumorigenesis affect this complexity is an important challenge in cancer research. Among tumor types, high-grade serous ovarian cancer is characterized by great genomic instability, with large portions of the genome affected by copy number alterations. Mutational signatures are an important tool in decoding genomics instability, being recurrent patterns of mutations associated with specific biological processes and clinical variables. In this thesis, through the analysis of a publicly available dataset, we explore the impact of copy number mutational signatures on the tumor microenvironment in high-grade serous ovarian cancer, evaluating how different patterns of copy number variation may lead to alterations in the abundance of different cell types, together with their gene expression programs and communication between cells.
Cancer progression is driven by a complex interplay of the tumor cells with the surrounding environment, including the stroma and immune cells. Unveiling how the mutational processes involved in tumorigenesis affect this complexity is an important challenge in cancer research. Among tumor types, high-grade serous ovarian cancer is characterized by great genomic instability, with large portions of the genome affected by copy number alterations. Mutational signatures are an important tool in decoding genomics instability, being recurrent patterns of mutations associated with specific biological processes and clinical variables. In this thesis, through the analysis of a publicly available dataset, we explore the impact of copy number mutational signatures on the tumor microenvironment in high-grade serous ovarian cancer, evaluating how different patterns of copy number variation may lead to alterations in the abundance of different cell types, together with their gene expression programs and communication between cells.
Exploring the effects of copy number variations on the tumor microenvironment in ovarian cancer at the single cell level
FERRERO, GIORGIO
2023/2024
Abstract
Cancer progression is driven by a complex interplay of the tumor cells with the surrounding environment, including the stroma and immune cells. Unveiling how the mutational processes involved in tumorigenesis affect this complexity is an important challenge in cancer research. Among tumor types, high-grade serous ovarian cancer is characterized by great genomic instability, with large portions of the genome affected by copy number alterations. Mutational signatures are an important tool in decoding genomics instability, being recurrent patterns of mutations associated with specific biological processes and clinical variables. In this thesis, through the analysis of a publicly available dataset, we explore the impact of copy number mutational signatures on the tumor microenvironment in high-grade serous ovarian cancer, evaluating how different patterns of copy number variation may lead to alterations in the abundance of different cell types, together with their gene expression programs and communication between cells.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/80888