Browsing Centre for Cancer Genomics & Computational Biology by Subject "Humans"
Now showing items 1-9 of 9
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Apoptosis in mesenchymal stromal cells activates an immunosuppressive secretome predicting clinical response in Crohn's disease.
(2023-12-06)In vivo apoptosis of human mesenchymal stromal cells (MSCs) plays a critical role in delivering immunomodulation. Yet, caspase activity not only mediates the dying process but also death-independent functions that may shape ... -
Comparative assessment of genes driving cancer and somatic evolution in non-cancer tissues: an update of the Network of Cancer Genes (NCG) resource.
(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.
(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.
(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 ... -
Mutational signature dynamics shaping the evolution of oesophageal adenocarcinoma.
(2023-07-15)A variety of mutational processes drive cancer development, but their dynamics across the entire disease spectrum from pre-cancerous to advanced neoplasia are poorly understood. We explore the mutagenic processes shaping ... -
Pan-cancer detection of driver genes at the single-patient resolution.
(2021-02-01)BACKGROUND: Identifying the complete repertoire of genes that drive cancer in individual patients is crucial for precision oncology. Most established methods identify driver genes that are recurrently altered across patient ... -
Rearrangement processes and structural variations show evidence of selection in oesophageal adenocarcinomas.
(2022-04-08)Oesophageal adenocarcinoma (OAC) provides an ideal case study to characterize large-scale rearrangements. Using whole genome short-read sequencing of 383 cases, for which 214 had matched whole transcriptomes, we observed ... -
Reflected stemness as a potential driver of the tumour microenvironment
(2022-12)A fundamental requirement for cancer initiation is the activation of developmental programmes by mutant cells. Oncogenic signals often confer an undifferentiated, stem cell-like phenotype that supports the long-term ... -
A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially-resolved tissue phenotyping at single-cell resolution.
(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 ...