Regional evaluation of glyphosate pollution in the minor irrigation network.

Due to its low cost, its ease of use and to the "mild action" declared for long time by the Control and Approval Agencies towards it, the herbicide Glyphosate, is one of the currently best-selling and most-used agricultural products worldwide. In this work, we evaluated the presence and spread of Glyphosate in the Po River Basin (Northern Italy), one of the regions with the most intensified agriculture in Europe and where, by now for decades, a strong and general loss of aquatic biodiversity is observed. In order to carry out a more precise study of the real presence of this herbicide in the waters, samples were collected from the minor water network for two consecutive years, starting in 2022, at an interval time coinciding with those of the spring and summer crop treatments. In contrast to the sampling strategies generally adopted by Environmental Protection Agencies, a more focused sampling strategy was adopted to highlight the possible high concentrations in minor watercourses in direct contact with cultivated fields. Finally, we investigated the possible consequences that the higher amounts of Glyphosate found in our monitoring activities can have on stress reactions in plant (Groenlandia densa) and animal (Daphnia magna) In all the monitoring campaigns we detected exceeding European Environmental Quality Standard - EQS limits (0.1 µg/L) values. Furthermore, in some intensively agricultural areas, concentrations reached hundreds of µg/L, with the highest peaks during spring. In G. densa and D. magna, the exposition to increasing doses of herbicide showed a clear response linked to metabolic stress. Overall, our results highlight how, after several decades of its use, the Glyphosate use efficiency is still too low, leading to economic losses for the farm and to strong impacts on ecosystem health. Current EU policy indications call for an agroecological approach necessary to find alternatives to chemical weed control, which farms can develop in different contexts in order to achieve the sustainability goals set by the Farm to Fork strategy.

Artificial intelligence in breast cancer diagnostics.

Since breast cancer deaths are mainly due to metastasis, predicting the risk that a primary tumor will develop metastasis after a first diagnosis is a central issue that could be addressed by artificial intelligence. To overcome the problem posed by limited availability of standardized datasets, algorithms should include biological insight.

Thoughts about cancer stem cells in solid tumors.

Cancer chemotherapy efficacy is frequently impaired by either intrinsic or acquired tumor resistance. A fundamental problem in cancer research is identifying the cell type that is capable of sustaining neoplastic growth and its origin from normal tissue cells. In recent years, the cancer stem cell (CSC) theory has changed the classical view of tumor growth and therefore the therapeutic perspective. Overcoming intrinsic and acquired resistance of cancer stem/progenitor cells to current clinical treatments represents a major challenge in treating and curing the most aggressive and metastatic cancers. On the other hand, the identification of CSCs in vivo and in vitro relies on specific surface markers that should allow the sorting cancer cells into phenotypically distinct subpopulations. In the present review, recent papers published on CSCs in solid tumors (breast, prostate, brain and melanoma) are discussed, highlighting critical points such as the choice of markers to sort CSCs and mouse models to demonstrate that CSCs are able to replicate the original tumor. A discussion of the possible role of aldehyde dehydrogenase and CXCR6 biomarkers as signaling molecules in CSCs and normal stem cells is also discussed. The author believes that efforts have to be made to investigate the functional and biological properties of putative CSCs in cancer. Developing diagnostic/prognostic tools to follow cancer development is also a challenge. In this connection it would be useful to develop a multidisciplinary approach combining mathematics, physics and biology which merges experimental approaches and theory. Biological models alone are probably unable to resolve the problem completely.

Melanoma and epigenetic treatment: past and future.

Melanoma is the most aggressive form of skin cancer and advanced stages are inevitably resistant to conventional therapeutic agents. In particular, epigenetic strategies might open interesting new perspectives in combination with conventional ones. Current therapeutic strategies, in particular for metastatic melanoma, do not give great results in terms of survival. Herein, I review HDACis and microRNAs for melanoma. A critical discussion of all the recent findings on this topic is also included. In my view, further studies are needed to understand the toxicity of these treatments in order to improve survival of melanoma patients.

Targeting cancer stem cells to modulate alternative vascularization mechanisms.

Recently, many papers have shown that tumor vascularization can be explained by angiogenesis, recruitment, cooption, vasculogenic mimicry and by mosaic vessels. In particular, vasculogenic mimicry seems to be different from mosaic blood vessels, where tumor cells form a part of the surface of the vessel while the remaining part is covered by endothelium. In this case, tumor cells in apparent contact with the lumen do not show an endothelial phenotype. More recently, vasculogenic mimicry was proposed to occur in patients with multiple myeloma due to bone marrow macrophages. Herein, all these data are, for the first time, discussed critically in comparison to cancer stem cells-which show high trans-differentiative capacity-and bone-marrow derived stem cells. In fact, the presence of alternative vasculogenic patterns might be due to the presence of stem cell population (cancer stem cells or bone-marrow stem cells). In this connection, the literature is discussed extensively and possible models are proposed. Pharmacological perspectives will also discuss.