Publications by authors named "E Bausch"

Purpose: This study investigates the impact of the COVID-19 pandemic on breast cancer (BC) care, analyzing treatment delays and factors associated with them.

Methods: This retrospective cross-sectional study analyzed data from the Oncology Dynamics (OD) database. Surveys of 26,933 women with BC performed between January 2021 and December 2022 in Germany, France, Italy, the United Kingdom, and Spain were examined.

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Chromosomal instability is a hallmark of cancer and correlates with the presence of extra centrosomes, which originate from centriole overduplication. Overduplicated centrioles lead to the formation of centriole rosettes, which mature into supernumerary centrosomes in the subsequent cell cycle. While extra centrosomes promote chromosome missegregation by clustering into pseudo-bipolar spindles, the contribution of centriole rosettes to chromosome missegregation is unknown.

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Centrosome amplification is a hallmark of virtually all types of cancers, including solid tumors and hematologic malignancies. Cancer cells with extra centrosomes use centrosome clustering (CC) to allow for successful division. Because normal cells do not rely on this mechanism, CC is regarded as a promising target to selectively eradicate cells harboring supernumerary centrosomes.

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Summary Understanding the molecular basis for proper cell division requires a detailed functional analysis of microtubule (MT)-associated proteins. MT-associated protein 1S (MAP1S), the most ubiquitously expressed MAP1 family member, is required for accurate cell division. Here, using quantitative analysis of MT plus-end tracking, we show that MAP1S knockdown alters MT dynamics throughout the cell cycle.

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Microtubule inhibitors are invaluable tools in cancer chemotherapy: taxanes and vinca alkaloids have been successfully used in the clinic over the past thirty years against a broad range of tumors. However, two factors have limited the effectiveness of microtubule inhibitors: toxicity and resistance. In particular, the latter is highly unpredictable, variable from patient to patient and is believed to be the cause of treatment failure in most cases of metastatic cancers.

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