Global ETD Search
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Showing 1 to 7 of 7 for “"Cancer bioinformatics"”.
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Interpreting transcriptional signatures and their relevance to disease biology, prognosis and treatment resistance in colorectal cancer
Introduction <br/>Colourectal cancer (CRC) is a common heterogeneous malignancy with a number of different disease subtypes influenced by distinct biology. The clinical implications of this disease heterogeneity are likely to influence treatment strategies further in the future. Therefore, patient …
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Decoding Copy Number Substructure and Evolution From Single Cell Genomics
… is a prominent feature in Triple-Negative Breast Cancers (TNBC), however, the evolution of genotypes during tumor expansion remains poorly understood. The prevalent model of TNBC evolution is the Punctuated Copy Number Evolution (PCNE), in which tumors undergo a period of elevated genomic …
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Functional genomic analysis of PPAR-gamma in human colorectal cancer cells
… and therapeutic target for colorectal cancer. Activation of PPAR-gamma by thiazolidinediones (TZDs) inhibits proliferation and induces differentiation in human colon cancer cells. RS5444, a novel TZD, is a high affinity and high specificity ligand for PPAR-gamma. We have shown that …
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Investigating Metastatic Lineage In Colorectal Cancer By Single Cell Dna Sequencing
<p>Metastasis is the primary cause of human cancer deaths. Patients with metastatic colorectal cancer (mCRC) show only an 11% 5-year survival rate, compared to those without local or distant metastases (92% 5-year survival rate). Understanding the CRC tumor evolution may provide valuable insights …
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Integrating Bulk and Single-Cell Transcriptomics to Investigate Intratumor Heterogeneity
<p>Cancers are heterogeneous mixtures of tumor and surrounding cells, where each component comprises multiple distinct sub-types and/or states. Understanding the cell-type-specific contributions is critical for advancing cancer biology, yet high-throughput expression profiles from tumor tissues …
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Characterisation of the Tumour Microenvironment in Ovarian Cancer
The tumour microenvironment comprises the non-cancerous cells present in the tumour mass (fibroblasts, endothelial, and immune cells), as well as signalling molecules and extracellular matrix. Tumour growth, invasion, metastasis, and response to therapy are influenced by the tumour …