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Cancer is a complex and evolving disease that is the leading cause of death in the twenty-first century, and colorectal and liver cancers specifically are in the top 10 cancer types in terms of incidence and mortality; therefore, there has been a shift towards researching prevention strategies, amongst which chemoprevention is key. Coffee is a natural product that has recently gained importance in this area due to its chemopreventive potential and its high level of consumption worldwide. In this review, recent epidemiological and experimental evidence of the chemopreventive effect of coffee against these two types of cancer are presented, and the role of the different compounds present in coffee in cell proliferation, apoptosis and response to oxidative stress are discussed.

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In vitro wound healing assay is a useful method to assess cell proliferation and migration, in this context quantification of the process is a critical step. Objective: to develop an automatic segmentation method for wound healing image analysis. Methods: sixty sequential images of two liver tumorderived cell lines were acquired and processed with a region growing-based segmentation algorithm performed in MATLAB. Results: after image processing HepG2 cells presented a low migration rate respect to SkHep1. Although there were visual differences during evaluation of automatic methodology with a manual segmentation carried out under the supervision of an expert, the average differences determined as percentage of wound region (%WR) in image segmentation were just of 0.97% (n=44) for HepG2 and 0.32% (n=16) in SkHep1. Conclusion: this novel approach is a simple alternative to quantify wound healing assay on sequential images.

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