Crossing paths in Human Renal Cell Carcinoma (hRCC).

Historically, cell-signaling pathways have been studied as the compilation of isolated elements into a unique cascade that transmits extracellular stimuli to the tumor cell nucleus. Today, growing evidence supports the fact that intracellular drivers of tumor progression do not flow in a single linear pathway, but disseminate into multiple intracellular pathways. An improved understanding of the complexity of cancer depends on the elucidation of the underlying regulatory networks at the cellular and intercellular levels and in their temporal dimension.

Multiple biomarker tissue arrays: A computational approach to identifying protein-protein interactions in the EGFR/ERK signalling pathway.

Background: Many studies have demonstrated genetic and environmental factors that lead to renal cell carcinoma (RCC) and that occur during a protracted period of tumourigenesis. It appears suitable to identify and characterise potential molecular markers that appear during tumourigenesis and that might provide rapid and effective possibilities for the early detection of RCC. EGFR activation induces cell cycle progression, inhibition of apoptosis and angiogenesis, promotion of invasion/metastasis, and other tumour promoting activities.

State of the art in silico tools for the study of signaling pathways in cancer.

In the last several years, researchers have exhibited an intense interest in the evolutionarily conserved signaling pathways that have crucial roles during embryonic development. Interestingly, the malfunctioning of these signaling pathways leads to several human diseases, including cancer. The chemical and biophysical events that occur during cellular signaling, as well as the number of interactions within a signaling pathway, make these systems complex to study.

Relevant Networks involving the p53 Signalling Pathway in Renal Cell Carcinoma.

Introduction: Renal cell carcinoma is the most common type of kidney cancer. A better understanding of the critical pathways and interactions associated with alterations in renal function and renal tumour properties is required. Our final goal is to combine the knowledge provided by a regulatory network with experimental observations provided by the dataset.

Expression of Notch1 to -4 and their ligands in renal cell carcinoma: a tissue microarray study.

Background: Mutations in signalling pathways essential for embryonic development often lead to tumourigenesis, as is also true for Notch. The aim of this study was to assess the relationship between Notch1 to -4 and their ligands with anatomopathological features of the patients with renal cell carcinoma (RCC).

Materials And Methods: This study investigated the pattern of protein expression in RCC specimens using tissue microarray technology.