Browsing Centre for Cancer Genomics & Computational Biology by Author "Keddar, MR"
Now showing items 1-4 of 4
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Comparative assessment of genes driving cancer and somatic evolution in non-cancer tissues: an update of the Network of Cancer Genes (NCG) resource.
Dressler, L; Bortolomeazzi, M; Keddar, MR; Misetic, H; Sartini, G; Acha-Sagredo, A; Montorsi, L; Wijewardhane, N; Repana, D; Nulsen, J (2022-01-26)BACKGROUND: Genetic alterations of somatic cells can drive non-malignant clone formation and promote cancer initiation. However, the link between these processes remains unclear and hampers our understanding of tissue ... -
Immunogenomics of Colorectal Cancer Response to Checkpoint Blockade: Analysis of the KEYNOTE 177 Trial and Validation Cohorts.
Bortolomeazzi, M; Keddar, MR; Montorsi, L; Acha-Sagredo, A; Benedetti, L; Temelkovski, D; Choi, S; Petrov, N; Todd, K; Wai, P (2021-10)BACKGROUND & AIMS: Colorectal cancer (CRC) shows variable response to immune checkpoint blockade, which can only partially be explained by high tumor mutational burden (TMB). We conducted an integrated study of the cancer ... -
Mechanistic insights into the interactions between cancer drivers and the tumour immune microenvironment.
Misetic, H; Keddar, MR; Jeannon, J-P; Ciccarelli, FD (2023-06-05)BACKGROUND: The crosstalk between cancer and the tumour immune microenvironment (TIME) has attracted significant interest in the latest years because of its impact on cancer evolution and response to treatment. Despite ... -
A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially-resolved tissue phenotyping at single-cell resolution.
Bortolomeazzi, M; Montorsi, L; Temelkovski, D; Keddar, MR; Acha-Sagredo, A; Pitcher, MJ; Basso, G; Laghi, L; Rodriguez-Justo, M; Spencer, J (2022-02-09)Multiplexed imaging technologies enable the study of biological tissues at single-cell resolution while preserving spatial information. Currently, high-dimension imaging data analysis is technology-specific and requires ...