BackgroundAn essential question in cancer is why individuals with the same disease have different clinical outcomes. Progress toward a more personalized medicine in cancer patients requires taking into account the underlying heterogeneity at different molecular levels.ResultsHere, we present a model in which there are complex interactions at different cellular and systemic levels that account for the heterogeneity of susceptibility to and evolution of ERBB2-positive breast cancers. Our model is based on our analyses of a cohort of mice that are characterized by heterogeneous susceptibility to ERBB2-positive breast cancers. Our analysis reveals that there are similarities between ERBB2 tumors in humans and those of backcross mice at clinical, genomic, expression, and signaling levels. We also show that mice that have tumors with intrinsically high levels of active AKT and ERK are more resistant to tumor metastasis. Our findings suggest for the first time that a site-specific phosphorylation at the serine 473 residue of AKT1 modifies the capacity for tumors to disseminate. Finally, we present two predictive models that can explain the heterogeneous behavior of the disease in the mouse population when we consider simultaneously certain genetic markers, liver cell signaling and serum biomarkers that are identified before the onset of the disease.ConclusionsConsidering simultaneously tumor pathophenotypes and several molecular levels, we show the heterogeneous behavior of ERBB2-positive breast cancer in terms of disease progression. This and similar studies should help to better understand disease variability in patient populations.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-015-0599-z) contains supplementary material, which is available to authorized users.

The information contained in corporate social responsibility (CSR) reports is a controversial issue, and it has generated an important debate among academics regarding company disclosure strategies. Environmental matters are especially relevant given their impact on sustainable development. The present study has two objectives. The first is to determine which Global Reporting Initiative (GRI) environmental indicators are reported less frequently. The second is to predict the evolution of these indicators in light of the institutional pressures that companies try to resist. Specifically, the study of the environmental dimension of the GRI focusses on an analysis of the following: materials, energy, water, biodiversity, emissions, effluents and waste, products and services, compliance, transport, environmental assessment, and environmental grievance mechanisms. A content analysis of CSR reports from some of the world's largest companies reveals that the indicators least disclosed by companies relate to the environmental aspects of biodiversity. The dissemination of environmental indicators is influenced by normative, mimetic, and (to a lesser extent) coercive pressures. In addition, we observe that mimetic institutional pressures under a national and industrial vision influence the dissemination of environmental information. In terms of cultural dimensions, companies located in long-term, feminine, and collectivist countries tend to disseminate environmental information accordingly.

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Cutaneous squamous cell carcinoma is the second most widespread cancer in humans and its incidence is rising. These tumours can evolve as poor-prognosis diseases, and therefore it is important to identify new markers to better predict its clinical evolution. Here, we identified the expression pattern of miRNAs at different stages of skin cancer progression in a panel of murine skin cancer cell lines. We determined that miR-203 and miR-205 are differentially expressed in this panel, and evaluated their potential use as biomarkers of prognosis in human tumours. MiR-205 was expressed in tumours with pathological features recognized as indicators of poor prognosis such as desmoplasia, perineural invasion and infiltrative growth pattern. MiR-205 was mainly expressed in undifferentiated areas and in the invasion front, and was associated with both local recurrence and the development of general clinical events of poor evolution. MiR-205 expression was an independent variable selected to predict events of poor clinical evolution using the multinomial logistic regression model described in this study. In contrast, miR-203 was mainly expressed in tumours exhibiting the characteristics associated with a good prognosis, was mainly present in well-differentiated zones, and rarely expressed in the invasion front. Therefore, the expression and associations of miR-205 and miR-203 were mostly mutually exclusive. Finally, using a logistic biplot we identified three clusters of patients with differential prognosis based on miR-203 and miR-205 expression, and pathological tumour features. This work highlights the utility of miR-205 and miR-203 as prognostic markers in cutaneous squamous cell carcinoma.