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Within primary breast tumors, a high-risk cell state may seed future metastases

Understanding which cells within a tumor will go on to form metastases remains one of the major challenges in cancer research. A study led by the Cell Plasticity in Development and Disease laboratory, headed by Ángela Nieto at the Institute for Neurosciences (IN), a joint center of the Spanish National Research Council (CSIC) and Miguel Hernández University (UMH) of Elche, offers an unexpected answer: The cells that will give rise to metastases can already be identified within the primary tumor.

The study, published in Nature Communications, combines the analysis of a mouse model of breast cancer with patient data. The results show that, at the invasive front of the tumor, there is a specific population of cells capable of both invading and either proliferating or entering a dormant state. This balance determines whether cells that escape the tumor can initiate new tumor growths in distant organs, the feared metastases.

Nieto’s team has been studying the epithelial-to-mesenchymal transition (EMT) for decades, a program that controls cell migration during embryonic development and is reactivated in tumors to enable cancer cells to spread and form metastases.

Extinct for more than 150 years, 158 giant tortoises are returning to Floreana, and their return could revitalize an ecosystem that has been quietly deteriorating for generations

158 giant tortoises are back on Floreana, reviving a lost Galápagos ecosystem after more than 180 years.

Revisiting the Poor Man’s Majoranas: the spin–exchange induced spillover effect

This just in: using “Poor man’s Majoranas” as quantum spin probes could open a new frontier for #

Quantumscience! By harnessing the sensitivity of these systems, scientists have taken what was once considered a defect into a promising feature that enables them to function as precise quantum spin sensors ⚛️. Explore what this means for the future of quantumphysics here.


Revisiting the Poor Man’s Majoranas: the spin–exchange induced spillover effect, Sanches, J E, Sobreira, T M, Ricco, L S, Figueira, M S, Seridonio, A C.

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