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Colorectal cancer, also known as bowel cancer, is a cancer formed by uncontrolled cell growth in the colon or rectum (parts of the large intestine), or in the appendix. Genetic analysis shows that colon and rectal tumours are genetically the same cancer.
Aberrant signalling pathway activity is relevant for tumour growth and resistance to therapy, but remains hard to understand and target. Here, the authors develop VESPA, a phosphoproteomics-based machine learning algorithm that can elucidate response and adaptation to drug perturbations in cancer signalling pathways.
Knapen et al. apply consensus-independent transcriptional component analysis to dissect transcriptomes into statistically independent transcriptional components in early colorectal cancer. Their findings identify 43 biological processes associated with disease-free survival which enables stratification of patients into different subgroups.
The interaction between colon cancer cells and colonic epithelial cells (CECs) is critical yet not well-known. Here, the authors show that tumor extracellular vesicles mediate mitochondrial DNA transfer to CECs, initiating mitochondrial activation and RelA-induced TGFβ1 expression, leading to tumor progression.
Dias et al. have shown that intentional further activation of oncogenic signalling rather than its inhibition represents an alternative strategy leading to colorectal cancer cell death with tumour suppressive acquired resistance.
In a recent study published in Nature, Goto et al. explore mechanisms of immune evasion in early colorectal cancers and adenomas and identify SOX17 to be crucial for immune escape through suppression of interferon-γ signalling.
We present SCORPION, a computational tool to model gene regulatory networks based on single-cell transcriptomic data and prior knowledge of gene regulation. SCORPION networks can be modeled for specific cell types in individual samples, and are therefore suitable for conducting comparisons between experimental groups.
Live microorganisms can be manipulated and engineered for colorectal cancer detection and treatment through methods such as faecal microbiota transplantation, native bacteria engineering and synthetic circuit engineering. Although promising, substantial effort is required to translate these approaches for clinical use.