Oncology

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Illustration depicting a self-reinforcing SRSF1–AURKA–MYC molecular circuit in pancreatic cancer cells, disrupted by an antisense oligonucleotide therapy.
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Study maps self-reinforcing SRSF1–AURKA–MYC circuit in pancreatic cancer cells

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Researchers at Cold Spring Harbor Laboratory report they have identified a three-part molecular circuit involving SRSF1, Aurora kinase A (AURKA) and MYC that helps drive aggressive pancreatic ductal adenocarcinoma. In laboratory models, a splice-switching antisense oligonucleotide designed to alter AURKA splicing disrupted the circuit, reducing tumor-cell viability and triggering programmed cell death.

Egypt's Health Minister Khaled Abdel Ghaffar met with executives from Siemens Healthineers Egypt to discuss proposals for establishing specialised oncology and radiotherapy centres and expanding cooperation on upgrading diagnostic and treatment services. Abdel Ghaffar emphasised the importance of public-private partnerships in strengthening Egypt's healthcare system, particularly in cancer care.

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Two cancer patients have died at the University Hospital of Burgos after receiving a dose six times higher than prescribed of an oncology drug due to a human error in its preparation. Three other patients were affected, one in intensive care. The hospital manager attributes the incident to a failure in diluting the vial.

A combination of enzalutamide and hormone therapy has reduced the risk of death by more than 40% in men with recurring prostate cancer, according to a major clinical trial. The study, involving over 1,000 patients worldwide, was led by researchers at Cedars-Sinai and presented at a medical congress in Berlin. Experts describe the findings as a game changer for treating aggressive cases.

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Researchers at Spain's National Cancer Research Centre (CNIO) have developed a comprehensive catalog of mutational 'scars' in DNA caused by cancer. This breakthrough, published in Nature, could help bypass resistances to treatments like PARP inhibitors. The study analyzes thousands of tumor samples to identify key genetic patterns.

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