Synthetic lethality-based therapeutics: perspectives for applications in colorectal cancer.

Over the past two decades, progresses in colorectal cancer treatment have significantly improved patient survival and quality of life. However, unresectable metastatic colorectal cancer remains virtually incurable, making the search for new effective therapeutics mandatory. An important limitation to the development of new agents has been the difficulty to exploit mutated tumor suppressors or "undruggable" oncogenes as a target. Recently, evidence that mutations in tumor suppressors, such as BRCA1/2, make cancer cells highly susceptible to inhibitors of a compensatory DNA repair pathway [poly-(ADP-ribose) polymerase 1 (PARP1)] has broadened the range of possible therapeutic targets by extending it to gene products that are in a "synthetic lethal" relationship with oncogenes and tumor suppressors. Inhibition of such targets blocks specific buffer-mechanisms that are required for survival in the presence of defined oncogenic mutations, but not in their absence. As a consequence, selective elimination of mutation-bearing cells results. This approach has led to identify compounds that are highly active in the presence of different types of mutated tumor suppressors and oncogenes, including DNA repair genes, RAS, and Myc. In addition, ongoing studies promise to identify new mechanisms which, when pharmacologically interfered with, will selectively eradicate mutated cancer cells. Here, we revise and discuss these new aspects of cancer biology and highlight their potential applications in colorectal cancer treatment.

Dynamic simulations of pathways downstream of ERBB-family, including mutations and treatments: concordance with experimental results.

The pathways downstream of ErbB-family proteins are very important in BC, especially when considering treatment with onco-protein inhibitors. We studied and implemented dynamic simulations of four downstream pathways and described the fragment of the signaling network we evaluated as a Molecular Interaction Map. Our simulations, enacted using Ordinary Differential Equations, involved 242 modified species and complexes, 279 reversible reactions and 111 catalytic reactions. Mutations within a single pathway tended to be mutually exclusive; only inhibitors acting at, or downstream (not upstream), of a given mutation were active. A double alteration along two distinct pathways required the inhibition of both pathways. We started an analysis of sensitivity/robustness of our network, and we systematically introduced several individual fluctuations of total concentrations of independent molecular species. Only very few cases showed significant sensitivity. We transduced the ErbB2 over-expressing BC line, BT474, with the HRAS (V12) mutant, then treated it with ErbB-family and phosphorylated MEK (MEKPP) inhibitors, Lapatinib and U0126, respectively. Experimental and simulation results were highly concordant, showing statistical significance for both pathways and for two respective endpoints, i.e. phosphorylated active forms of ERK and Akt, p one tailed = .0072 and = .0022, respectively. Working with a complex 39 basic species signaling network region, this technology facilitates both comprehension and effective, efficient and accurate modeling and data interpretation. Dynamic network simulations we performed proved to be both practical and valuable for a posteriori comprehension of biological networks and signaling, thereby greatly facilitating handling, and thus complete exploitation, of biological data.